This study develops a volatile fingerprinting approach for authenticating traditional sesame oil using HS-SPME-GC-MS with GC×GC-MS-assisted compound identification. Conventional GC-MS fingerprints were evaluated by similarity analysis, while GC×GC-MS improved identification of volatile markers in authentic and adulterated samples.The method detected maize oil dilution at levels as low as 5% and sesame oil essence adulteration from 0.2%. Principal component analysis and sensory evaluation supported the fingerprint-based classification, demonstrating a reproducible strategy for detecting different types of sesame oil adulteration.<blockquote><h4>The original article</h4><h4><a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#sec0010">Volatile compound fingerprinting for traditional sesame oil authentication using GC-MS with GC×GC-MS-assisted identification&nbsp;</a></h4>Ruibing Jin, Fuyun Kuang, Qi Meng, Lijin Wang, Huanlu Song, Xueping Feng, Mingshan ZouJournal of Food Composition and Analysis, 2026, 155:109277<div><a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1016/j.jfca.2026.109277">https://doi.org/10.1016/j.jfca.2026.109277</a></div><h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a></h6></blockquote>Selected sections from the article follow. Formats and hyperlinks were adapted from the original.<div><div><div><div><div>Sesame is cultivated worldwide for its nutritional value and flavor, especially in India, China, Myanmar, and Tanzania (<a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#bib23">Yin et al., 2021</a>). Sesame oil (SO) is an edible oil made from sesame seeds roasted at high temperatures to produce the distinct aroma and then processed using pressing, leaching, or other methods (<a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#bib5">Huang et al., 2024</a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#bib11">Ma et al., 2022</a>). This traditional Chinese characteristic edible oil is extremely popular among consumers because of its high nutritional value and unique flavor. The unique aroma is an important indicator of quality and the main feature that distinguishes SO from other vegetable oils. SO contains fatty acids, vitamin E, and phytosterols that support cardiovascular health and anticarcinogenic processes (<a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#bib21">Xu et al., 2025</a>), along with sesamin and other lignans that impart strong antioxidant and anti-corticosteroid properties (<a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#bib24">Yin et al., 2024</a>). Owing to its nutritional and sensory values, the high retail price of SO has motivated adulteration with cheaper edible oils or SO essences (SOE). Therefore, the development of SO adulteration detection technologies such as fingerprinting is essential.Fingerprinting technology typically involves using analytical detection and data processing methods to generate chromatograms/spectra of the separate sample components simultaneously. In China, fingerprinting is primarily used in the fields of traditional Chinese medicine, biology, and food production. To ensure the quality of traditional Chinese medicines, the Chinese Pharmacopoeia Commission developed the “Chinese Medicine Chromatographic Fingerprint Spectra Similarity Evaluation System” (Fingerprint Similarity System). After importing sample chromatograms, the software generates a reference fingerprint spectrum based on the retention times and peak heights, from which the similarity between the individual samples and reference spectrum is calculated. Samples with similarities &gt; 0.900 are considered highly compatible with the reference fingerprint (<a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#bib13">National Medical Products Administration, 2000</a>). Chromatographic fingerprinting is particularly valuable for traditional SOs and reveals how variations in raw material origin or production processes influence the overall similarity of the volatile component profiles across samples. This enables more effective adulteration detection, origin discrimination, varietal differentiation, and characteristic substance analysis (<a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#bib3">Fu et al., 2023</a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#bib14">Shi et al., 2025</a>; <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#bib15">Sun et al., 2023</a>).Volatile compound fingerprinting has been employed to characterize the volatile profiles of food products, enabling product discrimination and quality assessment (including identification and grading). <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#bib16">Sun et al. (2020)</a> analyzed volatile flavor compounds in SO and SO adulterated with soybean oil and identified characteristic compounds that can serve as indicators for adulteration. <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#bib18">Wang et al. (2024a)</a> used UV spectral fingerprints in combination with chemometric analytical methods to assess the quality of pressed SO with different levels of adulteration with refined SO. <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#bib1">Aghili et al. (2023)</a> analyzed the fatty acid compositions of diluted SO samples using an electronic nose (e-nose) and gas chromatography-mass spectrometry (GC-MS), revealing differences in the volatile profiles between the original and adulterated SO samples, which could aid in distinguishing adulterations. <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#bib20">Xing et al. (2019)</a> established fatty acid fingerprints capable of identifying sesame oil adulterated with rapeseed oil at levels as low as 5%. However, the sensitivity decreased for adulteration with corn oil, where only levels above 10% were detectable. Although <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#bib26">Zhang et al. (2016)</a> established a simple and rapid ion mobility spectrometry method to identify sesame oil adulterated with flavoring substances, its detection capability is limited to adulteration levels above 10%. However, few studies have assessed the performance of GC-MS-based fingerprinting in the concurrent detection of SO dilution and essence adulteration from volatile profiles.Although the chromatographic fingerprint similarity evaluation system was originally developed for traditional Chinese medicines, it has recently been successfully applied to edible oils. For example, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#bib7">Li et al. (2025)</a> established volatile fingerprints for fried pepper oils using the "Chinese Medicine Chromatographic Fingerprint Similarity Evaluation System" and adopted a similarity threshold of 0.900 for quality discrimination. Therefore, we characterized the volatile fingerprint of authentic traditional SO using headspace solid-phase microextraction (HS-SPME) coupled with two-dimensional GC (GC×GC)-MS; co-elution issues were resolved by parallel GC×GC-MS analysis, while fingerprint similarity was evaluated using the "Chinese Medicine Chromatographic Fingerprint Similarity Evaluation System" based on GC-MS data. By comparing this fingerprint with those of diluted SO by maize oil (MO) and sesame essence-adulterated oil, we investigated the accuracy of the fingerprint model. This study provides a scientific basis for quality control and authentication of traditional SO.<h4>2. Materials and methods</h4><h5>2.4. GC×GC-MS</h5>GC-MS (<a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/gcms/library?mainauthorItems=10&amp;search=8890">8890</a>–<a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/gcms/library?mainauthorItems=10&amp;search=5977B">5977B</a>, Agilent Technologies, Santa Clara, CA, USA) with a solid-state modulator (SSM) 1800 (J&amp;X Technologies, Shanghai, China) was used to qualitatively analyze the volatile compounds of SO (B. <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#bib17">Wang et al., 2023</a>).Volatile compounds were detected as previously described (<a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#bib2">Duan et al., 2025</a>), with some modifications. Mass spectra were acquired over the range of 40–450 m/z. Ultra-purity helium (99.999% purity) served as the carrier gas, flowing at a rate of 1.2 mL/min. A splitless injection mode was used. The oven temperature program was set to 40 °C and held this temperature for 2 min, slowly increased to 230 °C at 4 °C per min, and held at 230 °C for 5 min. The detector temperature was set to 250 °C. The quadrupole temperature and transfer line temperature were 150 °C and 250 °C, respectively. An electron impact ion source with an electron energy of 70 eV was used. The ion source temperature was set to 230 °C. A full scan mode was applied for acquisition. Two columns were used inside the GC oven: the first was a polar column, DB-wax (30 m × 0.25 mm × 0.25 μm; Agilent Technologies); the second was a mid-polar column, DB−17 (mid-polar, 1.85 m × 0.18 mm × 0.18 μm; J&amp;X Technologies). SSM1800 was placed between them for the heating and cooling stages. The SSM modulation period was 4 s. GC×GC-MS was used solely for qualitative confirmation of compounds that co-eluted in GC-MS.<h5>2.5. GC-MS</h5>Volatile compounds were analyzed semi-quantitatively by GC-MS (<a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/gcms/library?mainauthorItems=10&amp;search=7890A">7890A</a>−<a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/gcms/library?mainauthorItems=10&amp;search=7000B">7000B</a>; Agilent Technologies), and 2-methyl−3-heptanone was used as an internal standard. GC-MS analysis was performed using a DB-wax column (polar, 30 m × 0.25 mm, 0.25 μm; Agilent Technologies, Folsom, CA, USA) to distinguish the volatile compounds. The carrier gas (ultra-pure helium, 99.999%) was delivered at a flow rate of 1.2 mL/min. The method, heating, and mass spectrometry conditions are consistent with those described in Section 2.4. All quantitative and fingerprint similarity analyses were based on the GC-MS data obtained from this section.<h4>3. Results and discussion</h4><h5>3.2. Analysis of volatile compounds</h5>The GC×GC-MS result of JH and the GC-MS results of JH, MSO 5 (50% MO), and MSE 3 (0.6% SOE) are shown in <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#fig0005">Fig. 1</a>. A total of 85 volatile compounds were identified in the SO, MSO, and MSE samples, and 33 common peaks were identified, including ketone (1), acid (1), nitrogen-containing compounds (16), sulfur-containing compounds (7), furans (3), aldehyde (1), and phenolic compounds (4, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#tbl0015">Table 3</a>).<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Journal_of_Food_Composition_and_Analysis_2026_155_109277_Fig_1_A_and_B_respectively_represent_the_three_dimensional_chromatogram_and_two_dimensional_chromatogram_336c1e9b86.jpg" alt="Journal of Food Composition and Analysis, 2026, 155:109277: Fig. 1. (A) and (B) respectively represent the three-dimensional chromatogram and two-dimensional chromatogram of volatile compounds within the JH−1 sesame oil sample; (C)-(E) respectively represent the GC-MS results of volatile compounds within the JH−1, MSO 6 (50% MO), and MSE 3 (0.6% MSE)." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Journal_of_Food_Composition_and_Analysis_2026_155_109277_Fig_1_A_and_B_respectively_represent_the_three_dimensional_chromatogram_and_two_dimensional_chromatogram_336c1e9b86.jpg 119w," sizes="100vw" width="1600" height="2107"><h5>3.3. Establishment of GC-MS fingerprints and similarity analysis of volatile substances</h5>The GC-MS volatile compound data from the test SO samples were imported into the Fingerprint Similarity System to generate chromatographic fingerprints. The reference fingerprint profile was constructed as the arithmetic mean of all profiles (<a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#fig0015">Fig. 3</a>). Similarity values between the sample fingerprints and reference were calculated to evaluate compositional consistency. The SO samples showed a reference fingerprint similarity of 0.910–0.993 (<a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#tbl0020">Table 4</a>), surpassing the 0.900 benchmark (<a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#bib10">Ma et al., 2024</a>). This demonstrates a consistent composition of key volatile components across samples with minimal quality variation, satisfying the fundamental fingerprinting and quality assessment requirements for traditional SO.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Journal_of_Food_Composition_and_Analysis_2026_155_109277_Fig_3_Reference_fingerprint_of_volatile_compounds_b17f79ad1a.jpg" alt="Journal of Food Composition and Analysis, 2026, 155:109277: Fig. 3. Reference fingerprint of volatile compounds in traditional SO established by GC-MS. Different numbers are represented the different compounds in Table 2." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Journal_of_Food_Composition_and_Analysis_2026_155_109277_Fig_3_Reference_fingerprint_of_volatile_compounds_b17f79ad1a.jpg 245w," sizes="100vw" width="1600" height="584"><h4>4. Conclusion</h4>This study established a volatile compound fingerprinting method using HS‑SPME‑GC‑MS with GC×GC‑MS‑assisted identification for the authentication of traditional sesame oil. A total of 33 common volatile peaks were identified, with pyrazines and guaiacol as major contributors. OPLS‑DA models (R²Y &gt; 0.98, Q² &gt; 0.97) demonstrated robust discrimination between authentic and adulterated oils, as well as between the two adulteration types. Compounds with VIP &gt; 1 and p &lt; 0.05 were identified as potential key markers. Selected key markers were then subjected to external standard quantification, and the obtained absolute concentrations were used to perform PCA. All calibration curves showed excellent linearity (R² &gt; 0.997), and the external standard PCA clearly separated sesame oil essence from all other samples. Fingerprint similarity analysis, validated by ROC (AUC = 1.000, optimal cutoff 0.8935), showed that adulterated samples had similarity values below 0.9, clearly distinguishing them from authentic oils. The method successfully detected maize oil dilution adulteration as low as 5% and sesame oil essence adulteration as low as 0.2%.Compared with previous methods (<a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#bib1">Aghili et al., 2023</a>; <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#bib18">Wang et al., 2024a</a>; <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#bib20">Xing et al., 2019</a>; <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0889157526004205#bib26">Zhang et al., 2016</a>), our approach uniquely detects both dilution and essence adulteration in a single workflow, achieves lower detection limits (5% for MO, 0.2% for SOE), and provides an intuitive 0.900 similarity threshold without complex chemometric modeling. While non‑destructive methods (e‑nose, IMS) are more suitable for rapid screening, our approach offers higher chemical specificity, the ability to distinguish between dilution and essence adulteration, and an intuitive similarity threshold. Current limitations include testing only maize oil and one essence type, and validation on laboratory‑prepared samples. Future work will expand to other adulterants (soybean, rapeseed oil) and blind commercial samples. Overall, this method provides a reproducible, empirically validated tool for traditional sesame oil authentication. Furthermore, external standard quantification in the present study was performed only for a selected set of key volatile markers (VIP&nbsp;&gt;&nbsp;1 and p&nbsp;&lt;&nbsp;0.05). The same approach can be extended to other compounds in future studies, enabling odor activity value (OAV) calculations for deeper insights into sensory contributions, more precise adulteration level prediction, and improved model robustness across different production batches.</div></div></div></div></div>

Volatile compound fingerprinting for traditional sesame oil authentication using GC-MS with GC×GC-MS-assisted identification

Comprehensive investigation of matrix effect evaluation approaches for reliable quantification in bioanalysis using UHPLC-MS/MS

This study compares loss-on-ignition, acid decarbonation, and combustion elemental analysis for measuring organic carbon in sediments using certified reference materials and real samples. Loss-on-ignition conversions were inaccurate, while acid washing before elemental analysis caused significant organic carbon loss and poor precision.Combustion pretreatment followed by elemental analysis provided accurate and precise organic and inorganic carbon measurements, confirmed by temperature-dependent combustion. Across more than 150 intertidal sediment samples, acid decarbonation underestimated organic carbon by 37% ± 8%, supporting combustion-based elemental analysis as the preferred approach for reliable sediment carbon determination.<blockquote><h4>The original article</h4><h4><a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#s0055">Comparing loss-on-ignition, acid decarbonation and combustion elemental analysis for measuring organic carbon concentrations – recommendations for best practice</a></h4>Robert B. Sparkes, Stuart A. Rae, Lucy McMahon, Hannah L. Mossman, David McKendry, Clare E. Dean, Graham Tinsley, Frances Fowden, Connor J. Grisdale, Hafiza Begum, Holly Hope, Charlotte McEnhill, Samuel O’Boyle, Nawal Sohail, Marvyn Wachira, Rachel M. DunkOrganic Geochemistry, Volume 218, 2026, 105215<div><a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1016/j.orggeochem.2026.105215">10.1016/j.orggeochem.2026.105215</a></div><h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a></h6></blockquote>Selected sections from the article follow. Formats and hyperlinks were adapted from the original.<div><div><div><div><div>Environmental and Earth scientists frequently require measurements of carbon contents, including both the total carbon concentration (TC) and the fractions contributed by carbon from organic matter (organic carbon; OC) and carbonate minerals (inorganic carbon; IC; <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0025">Bendle et al., 2009</a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0220">Radabaugh et al., 2018</a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0230">Saderne et al., 2019</a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0240">Scheingross et al., 2019</a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0260">Smeaton et al., 2021</a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0295">Vonk et al., 2012</a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0315">Wood et al., 2021</a>).Accurate, precise, and affordable carbon concentration measurements are critical to the drive towards net-zero emissions, which requires monitoring, reporting and verification of carbon burial and release from an array of global environments (<a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0210">Post et al., 2001</a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0265">Smith, 2004</a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0270">Smith et al., 2020</a>). Carbon concentration measurements also underpin further analyses (e.g. normalising the concentration of individual biomarker compounds against the total organic carbon concentration, calculating elemental carbon to nitrogen ratios (<a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0290">van Dongen et al., 2008</a>), determining the correct sample load for isotope ratio measurements). Despite carbon concentration measurements being ubiquitous throughout multiple disciplines there is no standard approach for making these, especially determining the organic component of the sedimentary carbon (<a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0080">Fest et al., 2022</a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0320">Young et al., 2018</a>). Different disciplines have often generated their own consensus approach, which may not align with studies from another field, even those working on similar samples and asking similar questions (<a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0070">Farmer et al., 2014</a>). Use of an agreed standard measurement protocol for carbon concentrations, or understanding the agreement/variability between protocols, is vital for regulatory monitoring, reporting and verification (MRV), such as the ongoing development of carbon offsetting standards that, if implemented robustly, could provide real-world benefits to climate mitigation (<a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0035">Bonn et al., 2014</a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0045">Burden et al., 2023</a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0105">Guizar-Coutiño et al., 2022</a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0190">Needelman et al., 2018</a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0205">Pan et al., 2022</a>). Determining a standardised, verified approach to carbon measurement is important for those performing MRV, who may not have access to advanced and/or expensive analytical instrumentation.This study compares three common methods for quantifying the total and organic carbon concentrations in sedimentary samples: i) loss-on-ignition, ii) elemental analysis combined with acid decarbonation, and iii) elemental analysis combined with organic matter combustion. The comparison focuses on assessing the accuracy, precision, and repeatability of each method, identifying their respective strengths and weaknesses, and independently confirming findings via a fourth method (temperature dependent combustion and infrared CO2 measurement) to provide recommendations for best practice. A summary review of these methods is provided below.<h4>2. Materials and methods</h4><h5>2.3. Independent testing of reference materials via TDC</h5>Standards were analysed by the supplier (Elemental Microanalysis Ltd, UK) as part of the certification process: 15/30 elemental analysis measurements gave expected values of TC, OC and IC and the uncertainty for TC, following ISO/IEC17025. These values were independently checked using an <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=16&amp;search=Soli+TOC">Elementar SoliTOC cube</a> instrument at the instrument manufacturer’s headquarters (Elementar Analysensysteme, Hanau, Germany), which used the TDC method. Two combustion ramps were applied, first a two-step OC and IC determination at 500 °C and 900 °C, and then a three-step programme at 400 °C and 600 °C for easily-combustible and residual OC fractions and 900 °C for IC, with three repeat measurements of each. The SoliTOC cube instrument also analysed the agricultural soil sample, again making three repeat measurements of both the two-step and three-step temperature dependent combustion protocols (see Supplementary Table 3).<h5>2.5. Elemental analysis</h5>Total carbon concentrations were measured following the protocol described in <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0180">Mossman et al. (2022)</a>. 20&nbsp;mg of either untreated or pre-treated sample was weighed into tin capsules (Elemental Microanalysis Ltd.) and analysed for carbon concentrations using a Vario EL cube elemental analyser (Elementar Ltd.). Before each analytical run, the instrument was cleaned using three blanks without oxygen and seven blanks with oxygen, and calibrated using five analyses of up to 14&nbsp;mg ethylenediaminetetraacetic acid (EDTA) standard (Elemental Microanalysis Ltd.) and three analyses of an independent Soil Standard (Clay) CRM, acquired separately to the Soil Standard (Clay) CRM used to create analytical samples for this study (Elemental Microanalysis Ltd.). Three analyses of the EDTA calibration standard were repeated after every twenty samples. Long-term drift was monitored by repeated measurements of an internal laboratory standard sample, which has been analysed since 2015. Over the course of 65 measurements across 10 instrument runs for this study the laboratory standard showed no systematic drift.<h4>3. Results and discussion</h4><h5>3.1. Testing of certified reference materials (CRMs) using temperature dependent combustion (TDC)</h5>Both two-step and three-step TDC protocols consistently measured carbon contents close to but slightly below the supplier-certified values (see <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#f0005">Fig. 1</a>). For Soil Standard (Clay), the TDC instrument under-estimated OC by 0.10&nbsp;wt% (two-step) and 0.14&nbsp;wt% (three-step) and IC by 0.15&nbsp;wt% (two-step) and 0.087&nbsp;wt% (three-step). For Soil Standard (Peaty) the TDC instrument underestimated OC by 0.26&nbsp;wt% (two-step) and 0.34&nbsp;wt% (three-step), and IC by 0.021&nbsp;wt% (two-step) and 0.090&nbsp;wt% (three-step). Relative differences for OC are small, 5.1 – 7.0% for Clay and just 1.7 – 2.2% for Peaty, but higher for IC due to the small amount of IC present in the standards (25 – 44% for Clay, 7.0 – 30% for Peaty).<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Organic_Geochemistry_Volume_218_2026_105215_Fig_1_Comparison_of_organic_carbon_and_inorganic_carbon_measurements_on_two_certified_reference_materials_using_four_methods_31537717b3.jpg" alt="Organic Geochemistry, Volume 218, 2026, 105215: Fig. 1. Comparison of organic carbon and inorganic carbon measurements on two certified reference materials using four methods. Upper panel is Soil Standard (Clay) and lower panel Soil Standard (Peaty). Yellow diamonds show the certified value (Elemental Microanalysis Ltd) with manufacturer stated uncertainty in total carbon used as error bars for OC and IC (n = 30). White and grey symbols represent Loss-on-Ignition results using four different organic matter to organic carbon conversion equations (grey sqaures use the “van Bemmelen” scaling factor (Pribyl, 2010), grey circles the Craft et al. (1991) factor, white diamonds the Ouyang and Lee (2020) equation and white circles the Smeaton et al. (2022) equation. IC values for all LoI results use the C/CO2 mass fraction (Wang et al., 2011). Blue circles show the acid decarbonation and elemental analysis protocol, orange circles the combustion and elemental analysis protocol. Green and purple circles show mean results from temperature dependent combustion method (2-step and 3-step protocols respectively). Error bars represent one standard deviation after multiple measurements (n = 2 to n = 4). (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Organic_Geochemistry_Volume_218_2026_105215_Fig_1_Comparison_of_organic_carbon_and_inorganic_carbon_measurements_on_two_certified_reference_materials_using_four_methods_31537717b3.jpg 116w," sizes="100vw" width="2756" height="3698"><h5>3.4. Reproducibility tests</h5>Having shown that combustion coupled with elemental analysis was the most robust method for measuring OC in pure and diluted standards, the next experiment tested the reproducibility of these protocols over multiple implementations. A dried, ground agricultural soil sample was repeatedly analysed using each method (separate aliquots were measured using LoI at 500 °C and 800 °C, separate untreated aliquots were analysed via EA, separate aliquots were combusted at 500 °C and analysed via EA, and separate acid decarbonations were carried out prior to EA measurements). This required a large amount of starting material, more than was available in the CRMs. Independent external measurement of the soil sample using temperature dependent combustion (Elementar, Germany) gave mean OC&nbsp;=&nbsp;2.50&nbsp;±&nbsp;0.002&nbsp;wt% and IC&nbsp;=&nbsp;1.29&nbsp;±&nbsp;0.008&nbsp;wt% for combustion to 500 °C (n&nbsp;=&nbsp;3), whereas combustion to 600 °C gave OC&nbsp;=&nbsp;2.52&nbsp;±&nbsp;0.075 and IC&nbsp;=&nbsp;1.12&nbsp;±&nbsp;0.010&nbsp;wt% (n&nbsp;=&nbsp;3).<div>LoI showed differences in mean OC depending on the equation chosen (<a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#f0010">Fig. 2</a>). The conversions of <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0050">Craft et al. (1991)</a> and <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0200">Ouyang and Lee (2020)</a> were similar to the independent measurements (2.90&nbsp;±&nbsp;0.05&nbsp;wt% and 2.60&nbsp;±&nbsp;0.07&nbsp;wt% respectively; n&nbsp;=&nbsp;9 for each), but the equations of <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0255">Smeaton et al. (2022)</a> and van Bemmelen over-estimated OC (4.19&nbsp;±&nbsp;0.05 and 4.21&nbsp;±&nbsp;0.08&nbsp;wt% respectively; n&nbsp;=&nbsp;9 for each). IC estimates using the C/CO2 mass fraction conversion were higher than the expected value (1.91&nbsp;±&nbsp;0.06&nbsp;wt%, n&nbsp;=&nbsp;9). Note that the relative standard deviation for OCLoI was&nbsp;∼&nbsp;1.8%, and 3.2% for ICLoI, showing acceptable run-to-run precision.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Organic_Geochemistry_Volume_218_2026_105215_Fig_2_Organic_and_inorganic_carbon_measurements_following_repeated_analysis_of_a_homogenised_soil_sample_via_multiple_methods_c5d62ece0b.jpg" alt="Organic Geochemistry, Volume 218, 2026, 105215: Fig. 2. Organic and inorganic carbon measurements following repeated analysis of a homogenised soil sample via multiple methods. Markers for each method are shown in the legend and are the same as Fig. 1. Small black circles and error bars show the mean and one standard deviation after multiple repetitions of each protocol (n = 9 for LoI, C-EA and AD-EA, n = 3 for TDC)." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Organic_Geochemistry_Volume_218_2026_105215_Fig_2_Organic_and_inorganic_carbon_measurements_following_repeated_analysis_of_a_homogenised_soil_sample_via_multiple_methods_c5d62ece0b.jpg 204w," sizes="100vw" width="2363" height="1815">Since OCC-EA and ICAD-EA were calculated by subtraction from mean TCEA, all data from the C-EA and AD-EA methods plotted on a straight line in <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#f0010">Fig. 2</a>, representing OC&nbsp;+&nbsp;IC&nbsp;=&nbsp;TC. However, position and scatter along that line varied between the two pre-treatment techniques. OCC-EA clustered just higher than the independent measurements using TDC (2.60&nbsp;±&nbsp;0.03&nbsp;wt%, n&nbsp;=&nbsp;9). Propagating the errors in TC and IC gave a combined error estimate of&nbsp;±&nbsp;0.1&nbsp;wt% for the repeated OCC-EA measurements. ICC-EA was also close to but slightly higher than the TCD results, 1.35&nbsp;±&nbsp;0.03&nbsp;wt%. AD-EA, however, gave mean OC values of 2.00&nbsp;±&nbsp;0.12&nbsp;wt% (n&nbsp;=&nbsp;9) which was more variable run-to-run than the other methods and gave a significantly (p&nbsp;&lt;&nbsp;0.0001) lower mean OC value than the TCD results. Once again, acid decarbonation results suggested that a large amount of organic matter was lost during the acid treatment, tested further in the next section.</div><h4>4.3. Conclusions</h4>An accurate, precise, efficient, and standardised method for measuring total, organic and inorganic carbon contents of sediment samples is critical for both scientific research and environmental monitoring and reporting and verification. We rigorously tested three methods for measuring carbon contents in soils and intertidal sediments, using certified reference materials and&nbsp;&gt;&nbsp;150 sediment samples. Loss-on-ignition (LoI) is cheap and easy but showed moderate run-to-run variability and, without careful calibration, it is not accurate.Elemental analysis (EA) is an accurate and precise method for total carbon (TC) analysis. Measuring organic and inorganic carbon via EA requires pre-treatment of the sample, and this study tested both acid decarbonation and combustion preparation techniques. Acid decarbonation led to significant and variable organic carbon loss, meaning that true organic carbon concentrations are likely higher than those measured following acidification. Combustion pre-treatment was shown to efficiently remove organic matter, leading to accurate and precise results, and we would recommend making organic carbon measurements in this way.</div></div></div></div></div>

Comparing loss-on-ignition, acid decarbonation and combustion elemental analysis for measuring organic carbon concentrations – recommendations for best practice

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Waters XSelect CSH C18 HPLC Columns

Waters XSelect CSH C18 columns are general purpose C18 columns that provide alternative selectivity compared to other C18 sorbents. 

XSelect CSH C18 columns are general purpose C18 columns that provide alternative selectivity compared to other C18 sorbents. Charged Surface Hybrid (CSH) technology enables superior peak shape and increased loading capacity for basic compounds. Packed in ultra-low dispersion hardware, 2.5 µm eXtended Performance [XP] columns enable exceptional separation performance, robustness and throughput for HPLC assays while enabling a seamless transition path toward UPLC adoption.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_X_Bridge_BEH_C18_HPLC_Column_e96c520ca3.jpg" alt="Waters: XSelect CSH C18 Column" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_X_Bridge_BEH_C18_HPLC_Column_e96c520ca3.jpg 234w," sizes="100vw" width="660" height="440"><h4>Specifications</h4><ul><li>Chemistry: C18</li><li>Separation Mode: Reversed Phase</li><li>Particle Substrate: Hybrid</li><li>pH Range Min: 1 pH</li><li>pH Range Max: 11 pH</li><li>Maximum Pressure: 10000 psi (690 Bar)</li><li>Endcapped: Yes</li><li>Silanol Activity: Low</li><li>Particle Shape: Spherical</li><li>Pore Size: 130 Å</li><li>System: UHPLC, UPLC</li><li>Particle Technology: CSH</li><li>USP Classification: L1</li><li>Carbon Load: 15 %</li></ul><h4>The Waters XSelect CSH C18 HPLC Column is also available in these types:</h4><h5>Waters XSelect CSH C18 Column with eConnect Column Tag</h5><ul><li>This column comes equipped with an electronic eConnect column tag containing unique column-specific information. These NFC-enabled device-tagged columns were developed to automatically identify, track and digitally trace column use history. eConnect columns can be used on any HPLC, but its advantages are unlocked when used with the Waters Alliance iS System running Empower software.</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_X_Bridge_BEH_C18_Column_with_e_Connect_Column_Tag_c056302ec7.jpeg" alt="Waters: XSelect CSH C18 Column with eConnect Column Tag" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_X_Bridge_BEH_C18_Column_with_e_Connect_Column_Tag_c056302ec7.jpeg 234w," sizes="100vw" width="660" height="440"><h5>XSelect Peptide CSH C18 Column</h5><ul><li>Waters XSelect CSH C18 contain a low and carefully-defined concentration of positive charges that yield comparatively excellent peak shape for peptides using either FA- or TFA-containing mobile phases. The fact that the performance of a CSH C18 column exhibits little dependence on strong ion pairing agents makes it ideal for LC or LC-MS applications</li><li>Maximum Pressure: 6000 psi (415 Bar)</li><li>System: HPLC</li></ul><h3>XSelect Columns</h3><h4>Achieve unmatched reproducibility with a wide range of selectivity</h4>Quickly and easily develop robust methods compatible with all modern chromatographic detection modes and transfer them from lab to lab with the XSelect Column family.Designed to help you achieve reproducible and highly selective chromatographic separations, the XSelect Column family features two base particles technologies, Charged Surface Hybrid (CSH) and High Strength Silica (HSS). With XSelect Columns, method development scientists like you can achieve a wide range of selectivities across all application areas, without compromising performance.<h4>Overview</h4><ul><li>Designed for selectivity and stability at low pH</li><li>Superior peak shape for basic compounds</li><li>Highest analyte mass loading available</li><li>Excellent batch-to-batch reproducibility</li><li>Ideal for rapid method development</li><li>CSH Column chemistries: C18, Fluoro-Phenyl (PFP), and Phenyl-Hexyl, available in 2.5 XP, 3.5, 5 μm analytical and 10 μm OBD preparative sizes</li><li>HSS Column chemistries: HSS C18, C18 SB, and T3, available in 2.5 XP, 3.5, and 5 μm particle sizes</li><li>Prolonged column lifetimes with optional VanGuard Cartridges specifically designed using XSelect stationary phases</li><li>Recommended Use: For improving selectivity, peak shape, and retentivity in methods development.</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_X_Select_Columns_ff2c4ddb9e/Waters-XSelect-Columns.jpg" alt="Waters: XSelect Columns" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_X_Select_Columns_ff2c4ddb9e/thumbnail_Waters-XSelect-Columns.jpg 242w," sizes="100vw" width="900" height="580">

Waters XSelect HSS C18 HPLC Columns

Waters XSelect HSS C18 is a general purpose, high performance C18 chemistry with exceptional retention and peak shape for all compounds.

XSelect HSS C18 is a general purpose, high performance C18 chemistry with exceptional retention and peak shape for all compounds. Packed in ultra-low dispersion hardware, 2.5 µm eXtended Performance [XP] columns enable exceptional separation performance, robustness and throughput for HPLC assays while enabling a seamless transition path toward UPLC adoption.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_X_Bridge_BEH_C18_HPLC_Column_e96c520ca3.jpg" alt="Waters: XSelect HSS C18 Column" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_X_Bridge_BEH_C18_HPLC_Column_e96c520ca3.jpg 234w," sizes="100vw" width="660" height="440"><h4>Specifications</h4><ul><li>Chemistry: C18</li><li>Separation Mode: Reversed Phase</li><li>Particle Substrate: Hybrid</li><li>pH Range Min: 1 pH</li><li>pH Range Max: 8 pH</li><li>Maximum Pressure: 10000 psi (690 Bar)</li><li>Endcapped: Yes</li><li>Silanol Activity: Low</li><li>Particle Shape: Spherical</li><li>Pore Size: 100 Å</li><li>System: UHPLC, UPLC</li><li>Particle Technology: HSS</li><li>USP Classification: L1</li><li>Carbon Load: 15 %</li></ul><h4>The Waters XSelect HSS C18 HPLC Column is also available in these types:</h4><h5>XSelect HSS &nbsp;C18 SB XP Column</h5><ul><li>The XSelect HSS C18 SB column is a low coverage, unendcapped C18 phase used for low pH separations that contain complex mixtures of basic and non-basic compounds. XSelect HSS C18 SB columns give you alternative analyte selectivity compared to most modern, high coverage, fully endcapped C18 stationary phases.</li><li>Endcapped: No</li><li>Bonding Technology: C18 SB</li><li>Carbon Load: 8.5 %</li></ul><h3>XSelect Columns</h3><h4>Achieve unmatched reproducibility with a wide range of selectivity</h4>Quickly and easily develop robust methods compatible with all modern chromatographic detection modes and transfer them from lab to lab with the XSelect Column family.Designed to help you achieve reproducible and highly selective chromatographic separations, the XSelect Column family features two base particles technologies, Charged Surface Hybrid (CSH) and High Strength Silica (HSS). With XSelect Columns, method development scientists like you can achieve a wide range of selectivities across all application areas, without compromising performance.<h4>Overview</h4><ul><li>Designed for selectivity and stability at low pH</li><li>Superior peak shape for basic compounds</li><li>Highest analyte mass loading available</li><li>Excellent batch-to-batch reproducibility</li><li>Ideal for rapid method development</li><li>CSH Column chemistries: C18, Fluoro-Phenyl (PFP), and Phenyl-Hexyl, available in 2.5 XP, 3.5, 5 μm analytical and 10 μm OBD preparative sizes</li><li>HSS Column chemistries: HSS C18, C18 SB, and T3, available in 2.5 XP, 3.5, and 5 μm particle sizes</li><li>Prolonged column lifetimes with optional VanGuard Cartridges specifically designed using XSelect stationary phases</li><li>Recommended Use: For improving selectivity, peak shape, and retentivity in methods development.</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_X_Select_Columns_ff2c4ddb9e/Waters-XSelect-Columns.jpg" alt="Waters: XSelect Columns" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_X_Select_Columns_ff2c4ddb9e/thumbnail_Waters-XSelect-Columns.jpg 242w," sizes="100vw" width="900" height="580">

Waters XSelect HSS T3 HPLC Columns

Waters XSelect HSS T3 is a low-coverage C18 phase compatible with 100% aqueous mobile phase and should be first choice for polar and non-polar compounds. 

The XSelect HSS T3 is a low-coverage C18 phase compatible with 100% aqueous mobile phase and should be your first choice when developing separations for polar and non-polar compounds. The XSelect HSS T3 columns exhibit ultra-low MS bleed and are fully scalable and transferable to UPLC separations. Packed in ultra-low dispersion hardware, 2.5 µm eXtended Performance [XP] columns enable exceptional separation performance, robustness and throughput for HPLC assays while enabling a seamless transition path toward UPLC adoption.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_X_Bridge_BEH_C18_HPLC_Column_e96c520ca3.jpg" alt="Waters: XSelect HSS T3 Column" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_X_Bridge_BEH_C18_HPLC_Column_e96c520ca3.jpg 234w," sizes="100vw" width="660" height="440"><h4>Specifications</h4><ul><li>Chemistry: C18</li><li>Separation Mode: Reversed Phase</li><li>Particle Substrate: Silica</li><li>pH Range Min: 2 pH</li><li>pH Range Max: 8 pH</li><li>Maximum Pressure: 10000 psi (690 Bar)</li><li>Endcapped: Yes</li><li>Bonding Technology: T3</li><li>Silanol Activity: Medium</li><li>Particle Shape: Spherical</li><li>Pore Size: 100 Å</li><li>System: UHPLC, UPLC</li><li>Particle Technology: HSS</li><li>USP Classification: L1</li><li>Carbon Load: 11 %</li></ul><h4>The Waters XSelect HSS T3 HPLC Column is also available in these types:</h4><h5>Waters XSelect HSS T3 Column with eConnect Column Tag</h5><ul><li>The HSS T3 column is a fully endcapped, low-coverage C18 bonded-phase column designed to retain extremely polar compounds by reversed-phase in high aqueous mobile phases.</li><li>This column comes equipped with an electronic eConnect column tag containing unique column-specific information. These NFC-enabled device-tagged columns were developed to automatically identify, track and digitally trace column use history. eConnect columns can be used on any HPLC, but its advantages are unlocked when used with the Waters Alliance iS System running Empower software.</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_X_Bridge_BEH_C18_Column_with_e_Connect_Column_Tag_c056302ec7.jpeg" alt="Waters: XSelect HSS T3 Column with eConnect Column Tag" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_X_Bridge_BEH_C18_Column_with_e_Connect_Column_Tag_c056302ec7.jpeg 234w," sizes="100vw" width="660" height="440"><h3>XSelect Columns</h3><h4>Achieve unmatched reproducibility with a wide range of selectivity</h4>Quickly and easily develop robust methods compatible with all modern chromatographic detection modes and transfer them from lab to lab with the XSelect Column family.Designed to help you achieve reproducible and highly selective chromatographic separations, the XSelect Column family features two base particles technologies, Charged Surface Hybrid (CSH) and High Strength Silica (HSS). With XSelect Columns, method development scientists like you can achieve a wide range of selectivities across all application areas, without compromising performance.<h4>Overview</h4><ul><li>Designed for selectivity and stability at low pH</li><li>Superior peak shape for basic compounds</li><li>Highest analyte mass loading available</li><li>Excellent batch-to-batch reproducibility</li><li>Ideal for rapid method development</li><li>CSH Column chemistries: C18, Fluoro-Phenyl (PFP), and Phenyl-Hexyl, available in 2.5 XP, 3.5, 5 μm analytical and 10 μm OBD preparative sizes</li><li>HSS Column chemistries: HSS C18, C18 SB, and T3, available in 2.5 XP, 3.5, and 5 μm particle sizes</li><li>Prolonged column lifetimes with optional VanGuard Cartridges specifically designed using XSelect stationary phases</li><li>Recommended Use: For improving selectivity, peak shape, and retentivity in methods development.</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_X_Select_Columns_ff2c4ddb9e/Waters-XSelect-Columns.jpg" alt="Waters: XSelect Columns" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_X_Select_Columns_ff2c4ddb9e/thumbnail_Waters-XSelect-Columns.jpg 242w," sizes="100vw" width="900" height="580">

Waters XSelect CSH Phenyl-Hexyl HPLC Columns

Waters XSelect CSH Phenyl-Hexyl with trifunctionally bonded C6 phenyl-ligand is a robust, low bleed sorbent that selectively retains polyaromatic compounds through pi-pi interactions

XSelect CSH Phenyl-Hexyl columns provide you with alternative analyte selectivity compared to traditional reversed-phase columns and are a valuable tool for method development. The trifunctionally bonded C6 phenyl-ligand is a robust, low bleed sorbent that selectively retains polyaromatic compounds through pi-pi interactions. Packed in ultra-low dispersion hardware, 2.5 µm eXtended Performance [XP] columns enable exceptional separation performance, robustness and throughput for HPLC assays while enabling a seamless transition path toward UPLC adoption.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_X_Bridge_BEH_C18_HPLC_Column_e96c520ca3.jpg" alt="Waters: XSelect CSH Phenyl-Hexyl HPLC Column" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_X_Bridge_BEH_C18_HPLC_Column_e96c520ca3.jpg 234w," sizes="100vw" width="660" height="440"><h4>Specifications</h4><ul><li>Chemistry: Phenyl</li><li>Separation Mode: Reversed Phase</li><li>Particle Substrate: Hybrid</li><li>pH Range Min: 1 pH</li><li>pH Range Max: 11 pH</li><li>Maximum Pressure: 10000 psi (690 Bar)</li><li>Endcapped: Yes</li><li>Bonding Technology: Phenyl-Hexyl</li><li>Silanol Activity: Low</li><li>Particle Shape: Spherical</li><li>Pore Size: 130 Å</li><li>System: UHPLC, UPLC</li><li>Particle Technology: CSH</li><li>USP Classification: L11</li><li>Carbon Load: 14 %</li></ul><h4>The Waters XSelect CSH Phenyl-Hexyl HPLC Column is also available as:</h4><h5>Waters XSelect CSH Phenyl-Hexyl HPLC Column with eConnect Column Tag</h5><ul><li>This column comes equipped with an electronic eConnect column tag containing unique column-specific information. These NFC-enabled device-tagged columns were developed to automatically identify, track and digitally trace column use history. eConnect columns can be used on any HPLC, but its advantages are unlocked when used with the Waters Alliance iS System running Empower software.</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_X_Bridge_BEH_C18_Column_with_e_Connect_Column_Tag_c056302ec7.jpeg" alt="Waters: XSelect CSH Phenyl-Hexyl HPLC Column with eConnect Column Tag" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_X_Bridge_BEH_C18_Column_with_e_Connect_Column_Tag_c056302ec7.jpeg 234w," sizes="100vw" width="660" height="440"><h3>XSelect Columns</h3><h4>Achieve unmatched reproducibility with a wide range of selectivity</h4>Quickly and easily develop robust methods compatible with all modern chromatographic detection modes and transfer them from lab to lab with the XSelect Column family.Designed to help you achieve reproducible and highly selective chromatographic separations, the XSelect Column family features two base particles technologies, Charged Surface Hybrid (CSH) and High Strength Silica (HSS). With XSelect Columns, method development scientists like you can achieve a wide range of selectivities across all application areas, without compromising performance.<h4>Overview</h4><ul><li>Designed for selectivity and stability at low pH</li><li>Superior peak shape for basic compounds</li><li>Highest analyte mass loading available</li><li>Excellent batch-to-batch reproducibility</li><li>Ideal for rapid method development</li><li>CSH Column chemistries: C18, Fluoro-Phenyl (PFP), and Phenyl-Hexyl, available in 2.5 XP, 3.5, 5 μm analytical and 10 μm OBD preparative sizes</li><li>HSS Column chemistries: HSS C18, C18 SB, and T3, available in 2.5 XP, 3.5, and 5 μm particle sizes</li><li>Prolonged column lifetimes with optional VanGuard Cartridges specifically designed using XSelect stationary phases</li><li>Recommended Use: For improving selectivity, peak shape, and retentivity in methods development.</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_X_Select_Columns_ff2c4ddb9e/Waters-XSelect-Columns.jpg" alt="Waters: XSelect Columns" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_X_Select_Columns_ff2c4ddb9e/thumbnail_Waters-XSelect-Columns.jpg 242w," sizes="100vw" width="900" height="580">

Waters XSelect HSS Cyano (CN) HPLC Columns

Waters XSelect HSS Cyano column is a low coverage, unendcapped, highly stable cyano phase that provides low hydrophobicity for the rapid elution of hydrophobic analytes

The XSelect HSS Cyano column is a low coverage, unendcapped, highly stable cyano phase that provides low hydrophobicity for the rapid elution of hydrophobic analytes as well as alternate selectivity to traditional alkyl chain columns. Packed in ultra-low dispersion hardware, 2.5 µm eXtended Performance [XP] columns enable exceptional separation performance, robustness and throughput for HPLC assays while enabling a seamless transition path toward UPLC adoption.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_X_Bridge_BEH_C18_HPLC_Column_e96c520ca3.jpg" alt="Waters: XSelect HSS Cyano (CN) HPLC Column" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_X_Bridge_BEH_C18_HPLC_Column_e96c520ca3.jpg 234w," sizes="100vw" width="660" height="440"><h4>Specifications</h4><ul><li>Chemistry: Cyano (CN)</li><li>Separation Mode: Reversed Phase</li><li>Particle Substrate: Silica</li><li>pH Range Min: 2 pH</li><li>pH Range Max: 8 pH</li><li>Maximum Pressure: 10000 psi (690 Bar)</li><li>Endcapped: Yes</li><li>Silanol Activity: High</li><li>Particle Shape: Spherical</li><li>Pore Size: 100 Å</li><li>System: UHPLC, UPLC</li><li>Particle Technology: HSS</li><li>USP Classification: L10</li><li>Carbon Load: 5 %</li></ul><h3>XSelect Columns</h3><h4>Achieve unmatched reproducibility with a wide range of selectivity</h4>Quickly and easily develop robust methods compatible with all modern chromatographic detection modes and transfer them from lab to lab with the XSelect Column family.Designed to help you achieve reproducible and highly selective chromatographic separations, the XSelect Column family features two base particles technologies, Charged Surface Hybrid (CSH) and High Strength Silica (HSS). With XSelect Columns, method development scientists like you can achieve a wide range of selectivities across all application areas, without compromising performance.<h4>Overview</h4><ul><li>Designed for selectivity and stability at low pH</li><li>Superior peak shape for basic compounds</li><li>Highest analyte mass loading available</li><li>Excellent batch-to-batch reproducibility</li><li>Ideal for rapid method development</li><li>CSH Column chemistries: C18, Fluoro-Phenyl (PFP), and Phenyl-Hexyl, available in 2.5 XP, 3.5, 5 μm analytical and 10 μm OBD preparative sizes</li><li>HSS Column chemistries: HSS C18, C18 SB, and T3, available in 2.5 XP, 3.5, and 5 μm particle sizes</li><li>Prolonged column lifetimes with optional VanGuard Cartridges specifically designed using XSelect stationary phases</li><li>Recommended Use: For improving selectivity, peak shape, and retentivity in methods development.</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_X_Select_Columns_ff2c4ddb9e/Waters-XSelect-Columns.jpg" alt="Waters: XSelect Columns" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_X_Select_Columns_ff2c4ddb9e/thumbnail_Waters-XSelect-Columns.jpg 242w," sizes="100vw" width="900" height="580">

Waters Atlantis dC18 HPLC Columns

Waters Atlantis dC18 columns are universal, silica-based, reversed-phase C18 columns that are used for polar compound retention. 

Atlantis dC18 columns are universal, silica-based, reversed-phase C18 columns that are used for polar compound retention. The Atlantis dC18 columns feature di-functionally bonded C18 ligands that have been optimized for use with highly aqueous mobile phases, including 100% water.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_Atlantis_d_C18_HPLC_Columns_d7a741df9f.jpg" alt="Waters: Atlantis dC18 HPLC Columns" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_Atlantis_d_C18_HPLC_Columns_d7a741df9f.jpg 234w," sizes="100vw" width="660" height="440"><h4>Specifications</h4><ul><li>Chemistry: C18</li><li>Separation Mode: Reversed Phase</li><li>Particle Substrate: Silica</li><li>pH Range Min: 3 pH</li><li>pH Range Max: 7 pH</li><li>Maximum Pressure: 6000 psi (415 Bar)</li><li>Endcapped: Yes</li><li>Bonding Technology: dC18</li><li>Silanol Activity: Medium</li><li>Particle Shape: Spherical</li><li>Pore Size: 100 Å</li><li>System: HPLC</li><li>USP Classification: L1</li><li>Carbon Load: 12 %</li></ul><h4>The Waters Atlantis dC18 HPLC Column is also available in these types:</h4><h5>Waters Atlantis dC18 HPLC Column&nbsp;with eConnect Column Tag</h5><ul><li>This column comes equipped with an electronic eConnect column tag containing unique column-specific information. These NFC-enabled device-tagged columns were developed to automatically identify, track and digitally trace column use history. eConnect columns can be used on any HPLC, but its advantages are unlocked when used with the Waters Alliance iS System running Empower software.</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_X_Bridge_BEH_C18_Column_with_e_Connect_Column_Tag_c056302ec7.jpeg" alt="Waters: Atlantis dC18 HPLC Column with eConnect Column Tag" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_X_Bridge_BEH_C18_Column_with_e_Connect_Column_Tag_c056302ec7.jpeg 234w," sizes="100vw" width="660" height="440"><h5>Waters Atlantis dC18 Intelligent Speed (IS) Column</h5><ul><li>Experience exceptional liquid chromatography performance with the Atlantis dC18 Intelligent Speed (IS) Column—a cutting-edge, high-resolution solution designed for the efficient separation of a wide range of polar and non-polar compounds, catering to diverse applications such as peptide analysis, protein analysis, small molecule analysis, and drug discovery.</li><li>What sets the Atlantis dC18 Intelligent Speed (IS) Column apart is its innovative Intelligent Speed (IS) technology. This proprietary technology enables faster analysis times without compromising separation efficiency, making it an ideal choice for laboratories that require rapid analysis of large sample volumes and reliable lab equipment.</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_Atlantis_Intelligent_Speed_IS_Column_488e1ab406.jpg" alt="Waters: Atlantis dC18 Intelligent Speed (IS) Column" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_Atlantis_Intelligent_Speed_IS_Column_488e1ab406.jpg 234w," sizes="100vw" width="660" height="440"><h3>Atlantis Columns</h3><h4>Reversed-phase and HILIC HPLC Columns for superior polar compound retention</h4>Polar analytes are difficult to retain using traditional reversed-phase (RP) chromatography as they often elute in the void volume of the column. You can solve this challenge today with Atlantis Columns, which retain and separate polar analytes under reversed phase and HILIC conditions and provide quick, accurate, and reproducible quantification with increased retention and sensitivity.Available in T3, dC18, and the unbonded HILIC chemistries, the Waters Atlantis Column family provides exceptional performance, versatility, retention, and chromatographic stability for polar compounds and balanced retention for broad analyte mixtures.&nbsp;<h4>Overview</h4><ul><li>Retains and separates small, water-soluble polar organic compounds</li><li>Compatible with 100% aqueous mobile phases</li><li>Improves detection limits, method reproducibility, and robustness by eliminating ion-pairing reagents</li><li>Long column lifetimes using low-pH mobile phases</li><li>Fully scalable in 3, 5, and 10 μm particle sizes</li><li>Recommended Use: For the reproducible retention and separation of a broad range of polar and non-polar compounds.</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_Atlantis_HPLC_Columns_6651612161.jpg" alt="Waters: Atlantis HPLC Columns" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_Atlantis_HPLC_Columns_6651612161.jpg 234w," sizes="100vw" width="1024" height="682">

Waters Nova-Pak C8 HPLC Columns

Waters Nova-Pak C8 Column helps you achieve higher resolution, more efficient separations, and faster chromatography.

Nova-Pak C8 columns are general purpose, silica-based, reversed-phase C8 columns that are based on 4 µm particle technology. Compared to a 5 µm column, Nova-Pak columns offer higher resolution, more efficient separations, and faster chromatography.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_Atlantis_d_C18_HPLC_Columns_d7a741df9f.jpg" alt="Waters: Nova-Pak C8 HPLC Columns" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_Atlantis_d_C18_HPLC_Columns_d7a741df9f.jpg 234w," sizes="100vw" width="660" height="440"><h4>Specifications</h4><ul><li>Chemistry: C8</li><li>Separation Mode: Reversed Phase</li><li>Particle Substrate: Silica</li><li>pH Range Min: 2 pH</li><li>pH Range Max: 8 pH</li><li>Maximum Pressure: 6000 psi (415 Bar)</li><li>Endcapped: Yes</li><li>Silanol Activity: Medium</li><li>Particle Shape: Spherical</li><li>Pore Size: 60 Å</li><li>System: HPLC</li><li>USP Classification: L7</li><li>Carbon Load: 4 %</li></ul><h4>The Waters Nova-Pak C8 HPLC Column is also available in these types:</h4><h5>Waters Nova-Pak C8 HPLC Column&nbsp;with eConnect Column Tag</h5><ul><li>This column comes equipped with an electronic eConnect column tag containing unique column-specific information. These NFC-enabled device-tagged columns were developed to automatically identify, track and digitally trace column use history. eConnect columns can be used on any HPLC, but its advantages are unlocked when used with the Waters Alliance iS System running Empower software.</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_X_Bridge_BEH_C18_Column_with_e_Connect_Column_Tag_c056302ec7.jpeg" alt="Waters: Nova-Pak C8 HPLC Column with eConnect Column Tag" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_X_Bridge_BEH_C18_Column_with_e_Connect_Column_Tag_c056302ec7.jpeg 234w," sizes="100vw" width="660" height="440"><h3>Nova-Pak Columns</h3><h4>Scale-up from analytical to prep, simplified</h4>Reducing solvent consumption while maintaining resolution for complex mixtures is important, but that’s a challenge with larger particle sizes. With the smaller particle sizes and shorter column lengths in Nova-Pak Columns, those problems are a thing of the past. The bonded phases of Nova-Pak Columns are available in 4 µm and 6 µm particle sizes, offering high resolution and faster, more efficient chromatography over columns packed with larger particle sizes.Nova-Pak Analytical Columns with 4 µm particle size packing offer a range of length options with 75, 100, 150, and 300 mm length steel columns. The semi-preparative Prep Nova-Pak HR Columns are packed with 6 µm particle size packings for unparalleled separation possibilities. The high-efficiency packing of Prep Nova-Pak HR Columns provides faster separations with less solvent for the added advantage of more concentrated fractions—reducing your preparative chromatography cost. To ensure batch-to-batch reproducibility, all Nova-Pak C18, C8, Cyano and Phenyl Columns are packed according to stringent quality control (QC) procedures in Waters cGMP manufacturing facility.<h4>Overview</h4><ul><li>Reduces solvent consumption while maintaining resolution for complex mixtures</li><li>Packed to stringent QC procedures to ensure batch-to-batch reproducibility</li><li>Chemistries include C18, C8, Cyano, and Phenyl stationary phases</li><li>Available in 4 µm analytical and 6 µm semi-preparative particle sizes</li><li>Recommended Use: For higher resolution and faster chromatography.</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_Nova_Pak_Columns_fad066ad02/Waters-Nova-Pak-Columns.jpg" alt="Waters: Nova-Pak Columns" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_Nova_Pak_Columns_fad066ad02/thumbnail_Waters-Nova-Pak-Columns.jpg 245w," sizes="100vw" width="900" height="392">

Waters Nova-Pak Phenyl HPLC Columns

Leverage the phenyl ligand in the Nova-Pak HP Phenyl column to achieve unique compound selectivity with reversed-phase applications.

Nova-Pak HP Phenyl columns are based on 4 µm silica-based particle technology. The phenyl ligand is used to achieve unique compound selectivity with reversed-phase applications.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_Atlantis_d_C18_HPLC_Columns_d7a741df9f.jpg" alt="Waters: Nova-Pak Phenyl HPLC Columns" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_Atlantis_d_C18_HPLC_Columns_d7a741df9f.jpg 234w," sizes="100vw" width="660" height="440"><h4>Specifications</h4><ul><li>Chemistry: Phenyl</li><li>Separation Mode: Reversed Phase</li><li>Particle Substrate: Silica</li><li>pH Range Min: 2 pH</li><li>pH Range Max: 8 pH</li><li>Maximum Pressure: 6000 psi (415 Bar)</li><li>Endcapped: Yes</li><li>Silanol Activity: Medium</li><li>Particle Shape: Spherical</li><li>Pore Size: 60 Å</li><li>System: HPLC</li><li>USP Classification: L11</li><li>Carbon Load: 5 %</li></ul><h4>The Waters Nova-Pak Phenyl HPLC Column is also available in these types:</h4><h5>Waters Nova-Pak Phenyl HPLC Column&nbsp;with eConnect Column Tag</h5><ul><li>This column comes equipped with an electronic eConnect column tag containing unique column-specific information. These NFC-enabled device-tagged columns were developed to automatically identify, track and digitally trace column use history. eConnect columns can be used on any HPLC, but its advantages are unlocked when used with the Waters Alliance iS System running Empower software.</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_X_Bridge_BEH_C18_Column_with_e_Connect_Column_Tag_c056302ec7.jpeg" alt="Waters: Nova-Pak Phenyl HPLC Column with eConnect Column Tag" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_X_Bridge_BEH_C18_Column_with_e_Connect_Column_Tag_c056302ec7.jpeg 234w," sizes="100vw" width="660" height="440"><h3>Nova-Pak Columns</h3><h4>Scale-up from analytical to prep, simplified</h4>Reducing solvent consumption while maintaining resolution for complex mixtures is important, but that’s a challenge with larger particle sizes. With the smaller particle sizes and shorter column lengths in Nova-Pak Columns, those problems are a thing of the past. The bonded phases of Nova-Pak Columns are available in 4 µm and 6 µm particle sizes, offering high resolution and faster, more efficient chromatography over columns packed with larger particle sizes.Nova-Pak Analytical Columns with 4 µm particle size packing offer a range of length options with 75, 100, 150, and 300 mm length steel columns. The semi-preparative Prep Nova-Pak HR Columns are packed with 6 µm particle size packings for unparalleled separation possibilities. The high-efficiency packing of Prep Nova-Pak HR Columns provides faster separations with less solvent for the added advantage of more concentrated fractions—reducing your preparative chromatography cost. To ensure batch-to-batch reproducibility, all Nova-Pak C18, C8, Cyano and Phenyl Columns are packed according to stringent quality control (QC) procedures in Waters cGMP manufacturing facility.<h4>Overview</h4><ul><li>Reduces solvent consumption while maintaining resolution for complex mixtures</li><li>Packed to stringent QC procedures to ensure batch-to-batch reproducibility</li><li>Chemistries include C18, C8, Cyano, and Phenyl stationary phases</li><li>Available in 4 µm analytical and 6 µm semi-preparative particle sizes</li><li>Recommended Use: For higher resolution and faster chromatography.</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_Nova_Pak_Columns_fad066ad02/Waters-Nova-Pak-Columns.jpg" alt="Waters: Nova-Pak Columns" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_Nova_Pak_Columns_fad066ad02/thumbnail_Waters-Nova-Pak-Columns.jpg 245w," sizes="100vw" width="900" height="392">

Waters Nova-Pak Cyano (CN) HPLC Columns

The Nova-Pak Cyano (CN) Column with a small 4 µm particle size of the Nova-Pak bonded phase offers much higher resolution and faster chromatography

Nova-Pak HP CN columns are silica-based, cyano phases that are based on 4 µm particle technology. These columns can be used to achieve unique compound selectivity for both normal-phase and reversed-phase applications.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_Atlantis_d_C18_HPLC_Columns_d7a741df9f.jpg" alt="Waters: Nova-Pak Cyano (CN) HPLC Columns" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_Atlantis_d_C18_HPLC_Columns_d7a741df9f.jpg 234w," sizes="100vw" width="660" height="440"><h4>Specifications</h4><ul><li>Chemistry: Cyano (CN)</li><li>Separation Mode: Reversed Phase</li><li>Particle Substrate: Silica</li><li>pH Range Min: 2 pH</li><li>pH Range Max: 8 pH</li><li>Maximum Pressure: 6000 psi (415 Bar)</li><li>Endcapped: Yes</li><li>Silanol Activity: Medium</li><li>Particle Shape: Spherical</li><li>Pore Size: 60 Å</li><li>System: HPLC</li><li>USP Classification: L10</li><li>Carbon Load: 3 %</li></ul><h3>Nova-Pak Columns</h3><h4>Scale-up from analytical to prep, simplified</h4>Reducing solvent consumption while maintaining resolution for complex mixtures is important, but that’s a challenge with larger particle sizes. With the smaller particle sizes and shorter column lengths in Nova-Pak Columns, those problems are a thing of the past. The bonded phases of Nova-Pak Columns are available in 4 µm and 6 µm particle sizes, offering high resolution and faster, more efficient chromatography over columns packed with larger particle sizes.Nova-Pak Analytical Columns with 4 µm particle size packing offer a range of length options with 75, 100, 150, and 300 mm length steel columns. The semi-preparative Prep Nova-Pak HR Columns are packed with 6 µm particle size packings for unparalleled separation possibilities. The high-efficiency packing of Prep Nova-Pak HR Columns provides faster separations with less solvent for the added advantage of more concentrated fractions—reducing your preparative chromatography cost. To ensure batch-to-batch reproducibility, all Nova-Pak C18, C8, Cyano and Phenyl Columns are packed according to stringent quality control (QC) procedures in Waters cGMP manufacturing facility.<h4>Overview</h4><ul><li>Reduces solvent consumption while maintaining resolution for complex mixtures</li><li>Packed to stringent QC procedures to ensure batch-to-batch reproducibility</li><li>Chemistries include C18, C8, Cyano, and Phenyl stationary phases</li><li>Available in 4 µm analytical and 6 µm semi-preparative particle sizes</li><li>Recommended Use: For higher resolution and faster chromatography.</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_Nova_Pak_Columns_fad066ad02/Waters-Nova-Pak-Columns.jpg" alt="Waters: Nova-Pak Columns" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_Nova_Pak_Columns_fad066ad02/thumbnail_Waters-Nova-Pak-Columns.jpg 245w," sizes="100vw" width="900" height="392">

Waters Nova-Pak Silica HPLC Columns

Nova-Pak HR Silica columns are silica-based, semi-preparative and preparative columns that are based on 6 µm particle technology.

Nova-Pak HR Silica columns are silica-based, semi-preparative and preparative columns that are based on 6 µm particle technology. Compared to a 5 µm column, Nova-Pak HR columns offer higher resolution, more efficient separations, and faster chromatography.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_Atlantis_d_C18_HPLC_Columns_d7a741df9f.jpg" alt="Waters: Nova-Pak Silica HPLC Columns" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_Atlantis_d_C18_HPLC_Columns_d7a741df9f.jpg 234w," sizes="100vw" width="660" height="440"><h4>Specifications</h4><ul><li>Chemistry: Silica</li><li>Separation Mode: Normal Phase</li><li>Particle Substrate: Silica</li><li>pH Range Min: 2 pH</li><li>pH Range Max: 8 pH</li><li>Maximum Pressure: 6000 psi (415 Bar)</li><li>Endcapped: No</li><li>Silanol Activity: Low</li><li>Particle Shape: Spherical</li><li>Pore Size: 60 Å</li><li>System: HPLC</li><li>USP Classification: L3</li></ul><h3>Nova-Pak Columns</h3><h4>Scale-up from analytical to prep, simplified</h4>Reducing solvent consumption while maintaining resolution for complex mixtures is important, but that’s a challenge with larger particle sizes. With the smaller particle sizes and shorter column lengths in Nova-Pak Columns, those problems are a thing of the past. The bonded phases of Nova-Pak Columns are available in 4 µm and 6 µm particle sizes, offering high resolution and faster, more efficient chromatography over columns packed with larger particle sizes.Nova-Pak Analytical Columns with 4 µm particle size packing offer a range of length options with 75, 100, 150, and 300 mm length steel columns. The semi-preparative Prep Nova-Pak HR Columns are packed with 6 µm particle size packings for unparalleled separation possibilities. The high-efficiency packing of Prep Nova-Pak HR Columns provides faster separations with less solvent for the added advantage of more concentrated fractions—reducing your preparative chromatography cost. To ensure batch-to-batch reproducibility, all Nova-Pak C18, C8, Cyano and Phenyl Columns are packed according to stringent quality control (QC) procedures in Waters cGMP manufacturing facility.<h4>Overview</h4><ul><li>Reduces solvent consumption while maintaining resolution for complex mixtures</li><li>Packed to stringent QC procedures to ensure batch-to-batch reproducibility</li><li>Chemistries include C18, C8, Cyano, and Phenyl stationary phases</li><li>Available in 4 µm analytical and 6 µm semi-preparative particle sizes</li><li>Recommended Use: For higher resolution and faster chromatography.</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_Nova_Pak_Columns_fad066ad02/Waters-Nova-Pak-Columns.jpg" alt="Waters: Nova-Pak Columns" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_Nova_Pak_Columns_fad066ad02/thumbnail_Waters-Nova-Pak-Columns.jpg 245w," sizes="100vw" width="900" height="392">

Products from category Analytical HPLC columns - page 9

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