Nanozyme-mediated smartphone platform for colorimetric detection of total leucomalachite green and malachite green

IF 5.6 1区化学 Q1 CHEMISTRY, ANALYTICAL

Talanta Pub Date : 2025-07-16 DOI:10.1016/j.talanta.2025.128594

Xinru Nan , Xiaoqing Yang , Qiaowen Lei , Yunxiao Zhu , Chenghao Liu , Jing Liao , Chendi Qin , Anqi Liu , Man Zhou , Xudong Wang , Qitong Huang , Xiaoqing Yi

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引用次数: 0

Abstract

As a parasiticide, malachite green (MG) and its primary metabolite, leucomalachite green (LMG), are widely used in aquaculture to boost fishery yields. However, these compounds pose significant risks to both the food chain and human health. This study presents an innovative colorimetric sensing platform utilizing MnO₂ nanozymes for rapid and precise quantification of total LMG and MG in aquatic products. The innovation of platform lies in three key aspects: (1) development of an environmentally benign synthesis protocol for high-performance MnO₂ nanozymes using gelatin as a biological template and KMnO₄ as precursor; (2) exploitation of the distinctive oxidative catalytic properties of MnO₂ nanozymes, enabling in situ conversion of LMG to MG within 1 min under substrate-free conditions, coupled with the characteristic absorption peak of MG at 618 nm for highly sensitive and selective detection (LOD: 33.00 μg/kg); and (3) seamless integration with smartphone technology to create a cost-effective, portable, and user-friendly intelligent detection system (LOD: 120.08 μg/kg). The actual sample analysis results show that the integrated detection platform exhibits excellent analytical performance in complex matrices such as fish muscle, shrimp tissue, and fish pond water. The spike recovery rate of UV–vis spectroscopy and smartphone colorimetric analysis reaches 97.92 %–106.50 % and 97.21 %–104.17 %, respectively. It has high detection efficiency and real-time monitoring capabilities, providing a powerful solution for aquatic product safety assessment, public health protection and environmental monitoring.

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纳米酶介导的总白垩孔雀石绿和孔雀石绿比色检测智能手机平台

孔雀石绿（malachite green， MG）及其主要代谢物白垩孔雀石绿（lecomalachite green， LMG）作为一种杀寄生剂，被广泛应用于水产养殖中，以提高渔业产量。然而，这些化合物对食物链和人类健康都构成重大风险。本研究提出了一种创新的比色传感平台，利用MnO2纳米酶快速准确地定量水产品中的总LMG和MG。平台的创新在于三个关键方面：(1)以明胶为生物模板，以KMnO4为前体，开发了一种环保型的高性能二氧化锰纳米酶合成方案；(2)利用MnO2纳米酶独特的氧化催化特性，在无底物条件下，可在1 min内原位将LMG转化为MG，同时在618 nm处的MG特征吸收峰具有高灵敏度和选择性检测（LOD: 33.00 μg/kg）；(3)与智能手机技术无缝集成，打造性价比高、便携、用户友好的智能检测系统（LOD: 120.08 μg/kg）。实际样品分析结果表明，该集成检测平台在鱼肌肉、虾组织、鱼塘水等复杂基质中具有优异的分析性能。紫外可见光谱法和智能手机比色法的峰回收率分别为97.92% ~ 106.50%和97.21% ~ 104.17%。具有较高的检测效率和实时监测能力，为水产品安全评估、公众健康保护和环境监测提供了强有力的解决方案。

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来源期刊

Talanta 化学-分析化学

CiteScore

12.30

自引率

4.90%

发文量

861

审稿时长

29 days

期刊介绍： Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome. Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.