Novel electrochemical sensor with chiral recognition function prepared from N-CDs and cobalt-based nanomaterials for the detection of tyrosine enantiomers in food
Zhe Wang , Zixiao Wang , Jiamin Wang , Yu He , Junping Wang
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引用次数: 0
Abstract
A novel chiral electrochemical sensor was fabricated via the assembly of chiral nitrogen-doped carbon dots (N-CDs) with cobalt-based nanomaterials (Co@CoO) for the rapid discrimination and quantification of tyrosine enantiomers (L/D-Tyr). The sensor has a wide linear range of 1–120 µM and low detection limits of 0.64 µM for L-Tyr and 0.3 µM for D-Tyr. The synergistic interactions between N-CDs and Co@CoO amplify stereoselective recognition, yielding a chiral current ratio (ΔI = IL/ID) of 1.65, which outperforms those of previously reported sensors. The chiral recognition mechanism was elucidated using cyclic voltammetry, electrochemical impedance spectroscopy, X-ray photoelectron spectroscopy, circular dichroism spectroscopy, Zeta potential analysis, and molecular dynamics simulations. The sensor demonstrates exceptional selectivity, stability, reproducibility, and reusability performance, and was successfully applied to the detection of L/D-Tyr in skim milk and yogurt. Notably, this sensor is the first to identify abnormally elevated D-Tyr levels in expired food products, suggesting a potential correlation between amino acid racemization and food quality deterioration. This study establishes a robust platform for chiral recognition in complex food matrices.
期刊介绍:
The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects.
The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.