News|Articles|October 14, 2026

Streamline PFAS Analysis in Soil

Author(s)Dr. Detlef Jensen, Thermo Fisher Scientific

Explore a semi-automated approach to PFAS analysis in soil designed to meet US EPA Method 1633A performance requirements. The workflow automates extraction and sample clean-up to increase throughput, reduce manual handling and help minimize opportunities for error and PFAS contamination.

Join the global community of analytical scientists who trust LCGC for insights on the latest techniques, trends, and expert solutions in chromatography.

Related to this article

October 14th, 2026

Conversations with Michael Dong: Buffers for Mobile Phase A in Pharmaceutical Analysis

In this fourth part of " Conversations with Michael Dong," a series on fundamentals of HPLC in pharmaceutical analysis, LCGC International’s "Perspectives in HPLC" column editor explains why buffers are most often used in Mobile Phase A in high-pressure liquid chromatography of pharmaceuticals.

October 14th, 2026

Does SPE Improve LC–MS/MS Plant Hormone Analysis?

Skipping solid-phase extraction (SPE) cleanup rarely hurt liquid chromatography–tandem mass spectrometry (LC–MS/MS) plant hormone results in tomato.

Sam Whitmarsh, Nitish Sharma, Piotr Alvarez, GLP-1 Peer Exchange

October 14th, 2026

The Future of GLP-1 Peptide Analysis: AI, Automation, and the Scientist's Role

The panel considers how AI and automation could reshape peptide method development, and why scientific judgment will remain essential.

October 14th, 2026

GC–MS Screens Leaf Extract for Lung Cancer Drugs

Gas chromatography–mass spectrometry (GC–MS) and docking reveal A. excelsa leaf compounds that may help in cancer treatment.

October 14th, 2026

AI ML Now: Gert Desmet on the Future of Artificial Intelligence and Machine Learning in Separation Science

Gert Desmet offers his insights on the potential benefits AI/ML could offer the separation science community in the future.

Jan H. Christensen, University of Copenhagen

October 14th, 2026

Jan Christensen on Quantitative Non-Targeted Screening

Quantitative non-targeted screening with predicted response factors is not for regulation, but can rank environmental chemicals by concentration and toxicity.

October 14th, 2026

AI ML Now: Gert Desmet on the State of Artificial Intelligence and Machine Learning in Separation Science

Gert Desmet explores the current role of AI/ML in separation science.

October 13th, 2026

GC–MS Maps PAH Breakdown in Oil Sludge Composting

Gas chromatography–mass spectrometry (GC–MS) reveals a four-stage polycyclic aromatic hydrocarbons (PAH) breakdown in oil sludge co-composted with manure.

Streamline PFAS Analysis in Soil

Related to this article

Trending on LCGC International

Green Chemistry Meets Affinity Chromatography

Conversations with Michael Dong: Reversed-Phase Chromatography: Retention Mechanism of Hydrophobic Interaction

HILIC and the Shift Beyond TFA in GLP-1 Analysis

Getting More From Chromatography Data: From Summary Metrics to the Full Chromatogram

HILIC VS RP: Separating Impurities in Fatty-Acid-Conjugated siRNAs (Part 2)