用N-CDs和钴基纳米材料制备具有手性识别功能的新型电化学传感器,用于食品中酪氨酸对映体的检测

IF 4.6 2区 农林科学 Q2 CHEMISTRY, APPLIED
Zhe Wang , Zixiao Wang , Jiamin Wang , Yu He , Junping Wang
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引用次数: 0

摘要

通过手性氮掺杂碳点(N-CDs)与钴基纳米材料(Co@CoO)的组装,制备了一种新型手性电化学传感器,用于快速识别和定量酪氨酸对映体(L/D-Tyr)。该传感器具有1-120 µM的宽线性范围,L-Tyr的检出限为0.64 µM, D-Tyr的检出限为0.3 µM。N-CDs和Co@CoO之间的协同相互作用增强了立体选择识别,产生1.65的手性电流比(ΔI = IL/ID),优于先前报道的传感器。利用循环伏安法、电化学阻抗谱、x射线光电子能谱、圆二色光谱、Zeta电位分析和分子动力学模拟等方法对其手性识别机理进行了研究。该传感器具有良好的选择性、稳定性、重复性和可重复使用性能,已成功应用于脱脂牛奶和酸奶中L/D-Tyr的检测。值得注意的是,该传感器首次识别出过期食品中D-Tyr水平异常升高,表明氨基酸外消旋化与食品质量恶化之间存在潜在关联。本研究为复杂食物基质的手性识别建立了一个强大的平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel electrochemical sensor with chiral recognition function prepared from N-CDs and cobalt-based nanomaterials for the detection of tyrosine enantiomers in food
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.
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来源期刊
Journal of Food Composition and Analysis
Journal of Food Composition and Analysis 工程技术-食品科技
CiteScore
6.20
自引率
11.60%
发文量
601
审稿时长
53 days
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.
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