News from LabRulezLCMS Library - Week 41, 2026

We, 7.10.2026 | Original article from: LabRulezLCMS Library
This week we bring you application notes by Metrohm and posters by Shimadzu / ASMS, Thermo Fisher Scientific / Metabolomics and Waters Corporation / ASMS!
<p><strong>LabRulez / AI:</strong> News from LabRulezLCMS Library - Week 41, 2026</p>

LabRulez / AI: News from LabRulezLCMS Library - Week 41, 2026

Our Library never stops expanding. What are the most recent contributions to LabRulezLCMS Library in the week of 5th October 2026? Check out new documents from the field of liquid phase, especially HPLC and LC/MS techniques!

👉 SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT LCMS AND RELATED TECHNIQUES

👉 Need info about different analytical techniques? Peek into LabRulezGCMS or LabRulezICPMS libraries.

This week we bring you application notes by Metrohm and posters by Shimadzu / ASMS, Thermo Fisher Scientific / Metabolomics and Waters Corporation / ASMS!

1. Metrohm: Carbonate in lithium carbonate by potentiometric titration

Determination of carbonate in lithium carbonate by potentiometric titration according to draft standard ISO 10662

Lithium carbonate is one of the main lithium salts in cathode materials used for lithium-ion batteries. Accurate carbonate and overall purity determination in this raw material are essential because even trace impurities can affect key physicochemical properties, ultimately influencing electrochemical behavior in downstream applications. This is especially significant in battery-grade materials, where strict compositional tolerances are required to ensure consistent manufacturing performance, long-term cell stability, and overall safety. This Application Note describes carbonate content determination in lithium carbonate on an automated OMNIS system with Dis-Cover lids. The ISO 10662 draft method quantifies the main content of lithium carbonate to enable a precise assessment of material purity.

EXPERIMENTAL

The analysis is carried out on an OMNIS Advanced Titrator with an OMNIS Sample Robot equipped with a dUnitrode and Dis-Cover lids (Figure 1). A blank analysis is performed with a start volume of hydrochloric acid and titrated until after the equivalence point. Samples are titrated with hydrochloric acid until after the second equivalence point.

CONCLUSION

The OMNIS Titrator and OMNIS Sample Robot with Dis-Cover lids provide a fast and reliable determination of carbonate in lithium carbonate according to draft standard ISO 10662. The OMNIS system can be expanded to other titration applications as required.

2. Shimadzu / ASMS: Comprehensive Untargeted Metabolomic Analysis from Five Stages of Blueberry Development by High Resolution Accurate Mass Spectrometry

Metabolomic studies of blueberry cultivars and growth stages have been conducted to identify optimal cultivation conditions maximizing antioxidant production. Many of these studies utilize reversed phase (RP) chromatography and target fragmentation data collection at the most abundant chemical species as observed by electrospray ionization mass spectrometry (ESI MS). However, this strategy may miss important metabolites suppressed by matrix effects or unfavorable ionization. A comprehensive untargeted metabolomic study was performed to determine how diverse chromatographic separation and multiple fragmentation strategies could impact the identification of additional metabolites. The expanded metabolomics data was used to assess differences across fruit developmental stages and determine if unique metabolomic populations could be identified between stages.

Methods

All samples were analyzed in triplicate and in a randomized order using a Nexera HPLC and a Shimadzu LCMS-9050 Q-TOF. To maximize feature identification across the blueberry developmental stages, both RP and hydrophilic interaction liquid chromatography (HILIC) were used. Mass spectrometry data was collected with ESI in positive and negative mode using data-independent analysis (DIA) and data-dependent analysis (DDA), generating 8 different analytical methods in total.

Conclusions

The Shimadzu LCMS-9050 provided a comprehensive analysis of plant extracts when complementary chromatographic and MS analysis modes were utilized. All five growth stages showed distinct metabolimic populations. Overall differentiation of groups is captured by any of the analytical methods employed, but the same approach can be used to get a more holistic approach to metabolome coverage. If reduced analysis time is preferred, a combination of HILIC DDA and RP DDA methods characterize most metabolites.

3. Thermo Fisher Scientific / Metabolomics: Pushing the limits of structural lipidomics: enhanced sensitivity and MS³-driven annotation on Orbitrap Tribrid Apex Small Molecule MS

Advances in lipidomic analysis require mass spectrometry deliver high sensitivity, rapid acquisition, and efficient parallel use of multiple mass analyzers. Orbitrap Tribrid Apex Small Molecule MS was evaluated to meet these demands through improved sensitivity, faster polarity switching, and enhanced parallelization between the Orbitrap analyzer and linear ion trap analyzer. High-resolution MS enables effective resolution of isobaric lipid species, while alternative fragmentation strategies with rapid MSⁿ, supports confident lipid identification and structural annotation of lipid classes. The parallel operation of the Orbitrap analyzer and linear ion trap analyzer minimizes duty-cycle limitations while maximizing data density and throughput. Leveraging these instrument enhancements, robust lipidomics workflows were demonstrated through method evaluation with lipid reference materials and application to complex biological samples from plants.

Materials and methods

Instrumentation and methods: A Thermo Scientific Accucore C30 HPLC Column (150 mm x 2.1 mm, 2.6 µm particle size) connected to a Thermo Scientific Vanquish Horizon UHPLC System and a Orbitrap Tribrid Apex Small Molecule MS were used to acquire the data.

Conclusions 

We have successfully demonstrated the utility of the Orbitrap Tribrid Apex Small Molecule MS for structural lipidomics, using various fragmentation strategies on an LC timescale. We applied this to study lipid extracts from a plant and annotated around 1700 high grade lipids.

4. Waters Corporation / ASMS: Tandem Quadrupole DESI Imaging To Visualize Spatial Distribution of Gefitinib and Related Metabolites in Rat Liver

This poster presents a targeted DESI-MS/MS imaging workflow for visualizing the spatial distribution of gefitinib and its metabolites in rat liver after a single therapeutic subcutaneous dose. The study addresses a common limitation in drug-distribution studies: spatial localization is often assessed using radiolabeled compounds, which may not be available during early drug discovery. DESI offers a label-free ambient ionization approach with minimal sample preparation, enabling direct mapping of drugs and metabolites in tissue.

Male Wistar rats received gefitinib at 10 mg/kg, while plasma, urine, and liver samples were collected over a 24-hour period. Plasma and urine were analyzed by LC-MS/MS for pharmacokinetics and metabolite identification, whereas fresh-frozen liver sections were analyzed by targeted DESI MRM imaging on a Xevo TQ-Absolute XR tandem quadrupole mass spectrometer. Liver sections were cryosectioned to 10 µm thickness and analyzed using DESI with a methanol/water solvent containing formic acid. 

The targeted DESI imaging experiment detected gefitinib together with six metabolites in liver tissue. Signal intensities were generally highest at approximately 1 hour after dosing, but the compounds remained detectable at 24 hours. Importantly, this was achieved at a therapeutically relevant dose rather than the much higher doses often required for imaging studies. The spatial imaging data also showed good agreement with LC-MS/MS pharmacokinetic profiles, particularly for gefitinib and the M11 metabolite. 

Overall, the poster demonstrates that tandem quadrupole DESI MRM imaging can complement conventional LC-MS/MS by adding spatial information to quantitative pharmacokinetic and metabolite data. The approach enables label-free mapping of drug distribution directly in tissue and may therefore provide a useful tool for drug metabolism and disposition studies during discovery and development.

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