
Best of the Week: Chromatography Methods, HPLC 2026 Previews, and More
Key Takeaways
- Hyphenated LC/GC strategies in food testing have delivered sensitivity and selectivity gains, but still require improvements in method ruggedness, harmonized validation, and handling of complex matrices.
- Rational stationary-phase design by decoupling particle shape from pore architecture enables tunable mass transfer and surface chemistry, supporting bespoke separations rather than trial-and-error material synthesis.
This week’s LCGC International website offerings span AI, food, forensics, and clinical therapy.
This week, LCGC International covered the latest advances and applications across separation science: Hans-Gerd Janssen reflects on the progress and ongoing challenges in hyphenated chromatography for food analysis; HPLC 2026 previews include Bo Zhang's work on rationally engineering chromatographic materials by controlling particle and pore architecture, plus a session on how AI and machine learning are transforming LC–MS, method development, and peak integration. On the research side, GC-MS/MS links first-trimester phthalate exposure to impaired fetal growth, HPLC finds no dopamine difference between two Parkinson's therapies, DART-MS advances forensic screening of nitazene analogs, and GC-MS with NMR tracks heat-induced fatty acid changes in cooking oils; and Katelynn Perrault's LCGC Blog makes the case for training analytical chemists in chemometrics through hands-on, real-data learning.
This is the Best of the Week.
Hans-Gerd Janssen highlights the important innovations and challenges remaining using hyphenated separation science techniques in food analysis.1
Bo Zhang from Xiamen University, Xiamen, China discusses his upcoming lecture at HPLC 2026 that reveals a new way to design and manufacture chromatographic materials. This new approach indicates that chromatographic media can be intentionally engineered rather than developed through “trial-and-error” synthesis. By independently controlling particle morphology and pore architecture, separation materials can be rationally designed and optimized for specific applications.2
This HPLC 2026 session on AI in separations science covers LC–MS, modelling, peak integration and digital method development.3
Gas chromatography-tandem mass spectrometry (GC-MS/MS) reveals first-trimester phthalate exposure impairs fetal growth, worsened by maternal stress.4
High-performance liquid chromatography (HPLC) measured blood dopamine in Parkinson's patients on LCE or LB, revealing no significant difference.5
Researchers studied oxygenated species formation in nitazene analogs via DART-MS to improve forensic drug screening and address the opioid crisis. LCGC International spoke to Emma Hardwick, lead author of the paper that resulted from this work.6
Chromatography and spectrometry techniques reveal how high-heat cooking alters fatty acid profiles in three vegetable oils.7
In this month's LCGC Blog, Katelynn Perrault describes a new initiative to promote the importance and practice of chemometrics through an active-learning program that provides hands-on experience with chemometric workflows using real analytical datasets.8
References
1. Janssen, H.-G.; Matheson, A.Hyphenated Chromatography Methods: Successes and Remaining Challenges. Chromatography Online website
2. Zhang, B.; Matheson, A.HPLC 2026 Preview: Bo Zhang on Moving Towards Precision Design and Manufacture of Chromatographic Materials. Chromatography Online website
3. LCGC Staff.How AI and Machine Learning Are Reshaping Separations Science at HPLC 2026.Chromatography Online website
4. Chasse, J.GC-MS/MS Links Prenatal Phthalates to Fetal Growth. Chromatography Online website.
5. Chasse, J. HPLC Comparison of Dopamine in Parkinson's Therapy. Chromatography Online website.
6. Hardwick, E.; Chasse, J. Chromatographic and Mass Spectrometric Screening of Novel Psychoactive Substances in Seized Drug Analysis. Chromatography Online website.
7. Chasse, J. GC-MS and NMR Track Heat-Induced Oil Degradation. Chromatography Online website
8. Perrault-Uptmor, K. A. LCGC Blog: Who Will Handle the Data? Training Data Wranglers in Analytical Chemistry. Chromatography Online website.




