Cerium-cysteine nanozymes with dual enzyme-like activities for paper-based intelligent detection of ginkgo acid

IF 4.6 2区 农林科学 Q2 CHEMISTRY, APPLIED
Xueer Lin , Guancheng Zhu , Jiahui Zou, Yuqi Chen, Linfeng Pang, Jiaying Chen, Yu Zhang, Yanyan Huang
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Abstract

Ginkgo acid (GA), the primary toxic component in ginkgo products, presents significant safety concerns. To overcome the limitations of traditional chromatographic detection methods, this study aimed to construct a cerium-cysteine (noted as “CeCys”) nanozyme with oxidase (OXD)- and peroxidase (POD)-like activities for colorimetric detection of GA. Through the self-assembly of Ce3 + and cysteine (Cys), CeCys was constructed. Since GA could inhibit the dual enzyme-like activities of CeCys nanozyme, the developed system could detect GA via colorimetric analysis with the limit of detection (LOD) as 0.71 μg mL−1 (OXD-like activity) and 0.83 μg mL−1 (POD-like activity), respectively. The system also exhibited excellent selectivity and anti-interference capabilities. Fourier transform infrared spectrum analysis revealed the binding of GA with CeCys disrupted the coordination between Ce and Cys, thereby inhibiting the active sites. By integrating the OXD-like activity and a test-paper platform with smartphone, the CeCys nanozyme-based detection system could achieve the intelligent detection of GA with a LOD of 2.78 μg mL−1 and an ultrafast detection time of 2 min. Practical application in ginkgo leaf samples conformed the high accuracy with recovery rates of 94.5 %-114 %. This study might provide significant technical references and theoretical foundations for nanozyme-based rapid platforms for GA detection.
具有双酶样活性的铈-半胱氨酸纳米酶纸基智能检测银杏酸
银杏酸(GA)是银杏产品中的主要有毒成分,引起了严重的安全问题。为了克服传统色谱检测方法的局限性,本研究旨在构建一种具有氧化酶(OXD)和过氧化物酶(POD)样活性的铈半胱氨酸(CeCys)纳米酶,用于GA的比色检测。通过Ce3 +与半胱氨酸(Cys)的自组装,构建CeCys。由于GA可以抑制CeCys纳米酶的双酶样活性,因此该系统可以通过比色分析检测GA,检测限(LOD)分别为0.71 μg mL−1 (oxd样活性)和0.83 μg mL−1 (pod样活性)。该系统还具有良好的选择性和抗干扰能力。傅里叶变换红外光谱分析显示,GA与CeCys的结合破坏了Ce和Cys之间的配位,从而抑制了活性位点。CeCys纳米酶检测系统将类氧化酶活性、试纸平台与智能手机相结合,实现了GA的智能检测,LOD为2.78 μg mL−1,检测时间为2 min。在银杏叶样品中的实际应用表明,该方法具有较高的准确度,回收率为94.5 % ~ 114 %。本研究可为基于纳米酶的遗传基因快速检测平台提供重要的技术参考和理论基础。
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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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