基于单原子铁纳米酶的比色光热双模传感器阵列用于含硫金属盐的鉴定

IF 2.6 4区 材料科学 Q2 CHEMISTRY, MULTIDISCIPLINARY
ChemNanoMat Pub Date : 2025-03-10 DOI:10.1002/cnma.202400643
Can Wang, Lifeng Wang, Dr. Wendong Liu, Zhipeng Xu, Prof. Yizhong Lu
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引用次数: 0

摘要

各种含硫金属盐(SCMs)的同时检测和有效鉴定对食品安全和公众健康至关重要,但它仍然构成重大挑战。在这项研究中,我们介绍了一种创新的铁基单原子纳米酶(Fe−N/C)传感器阵列。该传感器阵列集成了比色和光热双模式,旨在准确区分各种scm。Fe−N/C催化剂能够通过激活O2将3,3 ',5,5 ' -四甲基联苯胺(TMB)转化为氧化TMB (oxTMB),在外部红外激光照射下将比色信号转化为光热信号,从而实现对SCMs的定量检测。利用这种双模检测技术,scm的检测范围从5 μM扩展到150 μM。比色法和光热法的检出限分别为0.688 ~ 0.887 μM和0.011 ~ 8.5 μM。不同的SCMs对oxTMB有不同程度的抑制作用,在传感器阵列上产生不同的比色和光热双模响应变化,成功识别出5种类型的SCMs。此外,它还被用于检测和区分真正的食品样品,包括葡萄酒、纯牛奶和生鸡蛋。这种创新的设计为高效检测提供了新的思路和方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Single-Atom Iron Nanozyme-based Colorimetric and Photothermal Dual-Mode Sensor Array for Sulfur-containing Metal Salts Identification

Single-Atom Iron Nanozyme-based Colorimetric and Photothermal Dual-Mode Sensor Array for Sulfur-containing Metal Salts Identification

The simultaneous detection and effective identification of various sulfur-containing metal salts (SCMs) is essential for food safety and public health, but it continues to pose significant challenges. In this study, we introduced an innovative iron-based single-atom nanozyme (Fe−N/C) sensor array. This sensor array integrates both colorimetric and photothermal dual modes and is aimed at accurately distinguishing various SCMs. Fe−N/C catalyst is capable of facilitating the conversion of 3,3′,5,5′-tetramethylbenzidine (TMB) into oxidized TMB (oxTMB) by activating O2, which can turn the colorimetric signal into a photothermal signal under external infrared laser irradiation, allowing for the quantitative detection of SCMs. By leveraging this dual-mode detection technology, the detection range for SCMs extends from 5 to 150 μM. The limits of detection (LODs) are 0.688–0.887 μM for the colorimetric method and 0.011–8.5 μM for the photothermal method. Different SCMs can suppress oxTMB to varying extents, generating distinct colorimetric and photothermal dual-mode response changes on the sensor array, successfully identifying five types of SCMs. Additionally, it has been utilized for detecting and distinguishing real food samples, including grape wine, pure milk, and raw egg. This innovative design offers new ideas and methods for efficient detection.

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来源期刊
ChemNanoMat
ChemNanoMat Energy-Energy Engineering and Power Technology
CiteScore
6.10
自引率
2.60%
发文量
236
期刊介绍: ChemNanoMat is a new journal published in close cooperation with the teams of Angewandte Chemie and Advanced Materials, and is the new sister journal to Chemistry—An Asian Journal.
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