Related Experiment Video
Updated: Jan 15, 2026
Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis
Published on: September 16, 2014
Chiral amino acids fingerprinting analysis based on gold nanoparticles sensing array and its application in alcoholic
Qiuyue Liu1, Hefeng Shi1, Yusheng Feng1
1Key Laboratory on Luminescence and Real-Time Analytical Chemistry (Southwest University), Ministry of Education, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, PR China.
Abstract:
Chiral amino acids play essential roles in biological systems and are widely present in food, especially alcoholic beverages. Their enantiomeric discrimination is crucial for quality assurance and authenticity verification. This work developed a gold nanoparticle (AuNP)-based sensing array for enantioselective recognition of 12 amino acids with varying enantiomeric excess. Utilizing three AuNP variants, the system generated unique chiral fingerprints for each amino acid. Combined with linear discriminant analysis (LDA) and hierarchical cluster analysis (HCA), the array achieved 100 % accuracy in origin tracing/species identification (13 red wine and 6 Baijiu types) and blind-sample prediction. A partial least squares regression (PLSR) model further quantified adulteration levels in Baijiu aroma types (R2 = 0.988). The AuNP sensing array offers a rapid, non-destructive method for chiral amino acid analysis, serving as a powerful tool for quality control and counterfeit detection in the alcoholic beverage industry.
