A GC–MS/MS method was optimized for pesticide analysis in mealworms by modifying QuEChERS extraction to improve recovery and reduce matrix effects in this complex, high-fat sample.

This study developed and validated a GC-ITQ-MS method for detecting OH-PAHs in wastewater, focusing on sample prep optimization and pollutant stability in real samples.

This study aims to detect and quantify coffee adulteration using SPME-GC–MS and chemometrics to classify samples and identify chemical markers of authenticity.

This study evaluates PFAS emissions from firefighter jackets using TD-GC×GC-TOF MS, comparing layers and wear conditions to assess exposure routes and identify discriminating chemical features.

Develop a simplified, green CZC-GC-MS method for semi-quantitative analysis of 16 PAHs in olive oil with minimal extraction, improved sensitivity, and reliable performance.

This study evaluates hydrogen, helium, and nitrogen as carrier gases in HPLC-GC-FID for MOH analysis in food, showing nitrogen as a suitable and effective alternative despite some peak broadening.

The study evaluates GC injection techniques to minimize artifact formation in odorant analysis, confirming on-column injection as most accurate and recommending its use in GC–olfactometry.

This study develops a GC×GC method using reconstructed TIC response factor surfaces to estimate compound concentrations without needing reference standards or molecular descriptors.

The study is about to develop and validate a GC-ECD method for analyzing CO₂, CH₄, and N₂O from environmental samples, comparing its performance with the standard GC-TCD method.

The study develops GC methods with multiple detectors for fast, accurate analysis of pyrolysis products in gas and liquid phases for efficient biofuel research with minimal sample preparation.