Sampling Solutions Start Here: Samplify from SIELC Technologies
LCMSArticle | Product

Sampling Solutions Start Here: Samplify from SIELC Technologies

Samplify is an innovative new technology from SIELC, specifically designed for unattended, routine, periodic sampling of virtually any liquid source.
Sampling Solutions Start Here: Samplify from SIELC Technologies
What's New in Mnova 15.1?
LCMSICPMSGCMSArticle | Video

What's New in Mnova 15.1?

Whether you're focused on NMR, LC/GC-MS or Electronic & Vibrational Spectroscopic techniques, Mnova 15.1 has something to boost your analytical data analyses and streamline your workflows.
What's New in Mnova 15.1?
Scientists aim to stop tumours from metastasizing. They are using approved drugs
GCMSICPMSLCMSArticle | Science and research

Scientists aim to stop tumours from metastasizing. They are using approved drugs

A research project led by Daniel Zicha at CEITEC BUT is investigating whether some drugs approved for other purposes are slowing or even stopping the spread of cancer cells.
Scientists aim to stop tumours from metastasizing. They are using approved drugs
The Forever Problem: Part 3 - A Real Mess
GCMSICPMSLCMSArticle | Video

The Forever Problem: Part 3 - A Real Mess

“There have been several urgent contaminant issues throughout our history, but I think it is safe to say that PFAS is the worst one we have had to deal with," said Kyle Doudrick.
The Forever Problem: Part 3 - A Real Mess
News from LabRulezICPMS Library - Week 45, 2024
ICPMSArticle | Application

News from LabRulezICPMS Library - Week 45, 2024

This week we bring you applications, posters, and other documents by Agilent Technologies, Shimadzu, Anton Paar, and Thermo Fisher Scientific!
News from LabRulezICPMS Library - Week 45, 2024
News from LabRulezGCMS Library - Week 45, 2024
GCMSArticle | Application

News from LabRulezGCMS Library - Week 45, 2024

This week we bring you applications by Agilent Technologies, Thermo Fisher Scientific, and Shimadzu!
News from LabRulezGCMS Library - Week 45, 2024
News from LabRulezLCMS Library - Week 45, 2024
LCMSArticle | Poster

News from LabRulezLCMS Library - Week 45, 2024

This week we bring you posters, applications, and technical notes by Thermo Fisher Scientific, Shimadzu, Waters Corporation, and Agilent Technologies!
News from LabRulezLCMS Library - Week 45, 2024
Nondestructive Sequencing of Enantiopure Oligoesters by Nuclear Magnetic Resonance Spectroscopy
ICPMSScientific article | Science and research

Nondestructive Sequencing of Enantiopure Oligoesters by Nuclear Magnetic Resonance Spectroscopy

A showcase of a method for nondestructive decoding of digital information stored in oligomers of enantiopure α-hydroxy acids using 13C nuclear magnetic resonance spectroscopy.
Nondestructive Sequencing of Enantiopure Oligoesters by Nuclear Magnetic Resonance Spectroscopy
Intelligent Recommendation Systems Powered by Consensus Neural Networks: The Ultimate Solution for Finding Suitable Chiral Chromatographic Systems?
LCMSScientific article | Software

Intelligent Recommendation Systems Powered by Consensus Neural Networks: The Ultimate Solution for Finding Suitable Chiral Chromatographic Systems?

An intelligent recommendation system that employs multiple optimized artificial neural networks to select chiral stationary phase and mobile phase combinations for diverse chiral compounds.
Intelligent Recommendation Systems Powered by Consensus Neural Networks: The Ultimate Solution for Finding Suitable Chiral Chromatographic Systems?
Development of analytical “aroma wheels” for Oolong tea infusions (Shuixian and Rougui) and prediction of dynamic aroma release and colour changes during “Chinese tea ceremony” with machine learning
GCMSScientific article | Food

Development of analytical “aroma wheels” for Oolong tea infusions (Shuixian and Rougui) and prediction of dynamic aroma release and colour changes during “Chinese tea ceremony” with machine learning

In the article in the Food Chemistry Journal, researchers utilized advanced flavor analysis methods (GC–MS, GC-O-MS, and APCI-MS/MS) to profile the aroma of two types of oolong tea (Shuixian and Rougui).
Development of analytical “aroma wheels” for Oolong tea infusions (Shuixian and Rougui) and prediction of dynamic aroma release and colour changes during “Chinese tea ceremony” with machine learning