Fast LC for High-Throughput LC&amp;#150;MS

Best of the Week: Waters Executives Discuss Goals for 2025, Inside the Laboratory, North Carolina PFAST Network

High-performance liquid chromatography with diode-array detection (HPLC-DAD) was tested for detecting antibiotic residues in environmental samples.

Improved Machine Learning Workflow for Predicting Oligonucleotide Separation

Here is some of the most popular content posted on LCGC International this week.

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Kate Jones

Predicting Concentration Profiles in Gradient LC Using Neural Networks

A research group has developed an improved workflow for constructing machine learning (ML) models in oligonucleotide separation.

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March 13th 2025

New Study Investigates Optimizing Extra-Column Band Broadening in Micro-flow Capillary LC

Physics-informed neural networks were tested for their capabilities in predicting concentration profiles in gradient liquid chromatography.

The laboratory scientist prepares samples for download to High-performance Liquid Chromatograph Mass Spectrometr. | Image Credit: © Sodel Vladyslav - stock.adobe.com

New Study Reviews 2D-LC for Natural Product Analysis

Shimadzu Corporation and Vrije Universiteit Brussel researchers recently investigated how extra-column band broadening (ECBB) can be optimized in micro-flow capillary liquid chromatography.

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Liquid Chromatography (LC/HPLC)

A new review article provides an overview of the use of two-dimensional liquid chromatography (2D-LC) for the quantitative analysis of natural products.

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Pharmaceutical Analysis

Detecting Antibiotic Residues Using High-Performance Liquid Chromatography

Best of the Week: Waters Executives Discuss Goals for 2025, Inside the Laboratory, North Carolina PFAST Network

High-performance liquid chromatography with diode-array detection (HPLC-DAD) was tested for detecting antibiotic residues in environmental samples.

Improved Machine Learning Workflow for Predicting Oligonucleotide Separation

Here is some of the most popular content posted on LCGC International this week.

Kate Jones

Predicting Concentration Profiles in Gradient LC Using Neural Networks

A research group has developed an improved workflow for constructing machine learning (ML) models in oligonucleotide separation.

March 13th 2025

New Study Investigates Optimizing Extra-Column Band Broadening in Micro-flow Capillary LC

Physics-informed neural networks were tested for their capabilities in predicting concentration profiles in gradient liquid chromatography.

New Study Reviews 2D-LC for Natural Product Analysis

Shimadzu Corporation and Vrije Universiteit Brussel researchers recently investigated how extra-column band broadening (ECBB) can be optimized in micro-flow capillary liquid chromatography.