TOC
Departments
Departments
Products 33
Cover image courtesy of Agilent Technologies, Santa Clara, California.
Ad Index 34
Articles
Microfluidic Chip-Based Technology as a Growing Trend in LC–MS Analysis 8
Christine Miller and Dayin Lin
A Reproducible Online 2D Reversed Phase–Reversed Phase High–Low pH Method for Qualitative and Quantitative Proteomics 14
Martha Stapels and Keith Fadgen
Recent Trends in the Use of LC–MS-MS for the Testing of Food and Environmental Contaminants 16
André Schreiber and Kristin von Czapiewski
Successfully Identifying Proteins and Their Modifications Using Electron Transfer Dissociation Linear Ion Trap Mass Spectrometry 22
Andreas Huhmer
Nonderivatized Drug-Screen Analysis in Urine with Automated Solid Phase Microextraction and Comprehensive Two-Dimensional GC–TOF-MS 26
John Heim and Scott Pugh
Improving Oligonucleotide Sensitivity and Separation for LC–MS Applications 30
Greg Scott, Matthew Champion, and Michael McGinley
NIR Spectroscopy with AI Proves to be a Powerful Combination for Tea Classification
January 29th 2025A team of researchers from Nankai University has developed an advanced method to classify tea types using near-infrared spectroscopy (NIRS) and artificial intelligence (AI). Their approach, involves a fine-tuned 1DResNet model, outperforms traditional methods, and offers an accurate, non-destructive, and efficient classification solution for the tea industry.
