利用单原子纳米酶的智能手机比色纸片传感器检测蔬菜中的呋喃丹农药残留。

Lifan Zhang, Ziyue Lang, Bozhi Lu, Tinglan Yang, Xinyi Zhang, Muxue Wang, Xiaomei Zhang, Hongmei Cao, Daixin Ye
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引用次数: 0

摘要

克百威(CBF)具有毒性高、残留持久、易积累、难降解等特点,严重威胁人类健康,危害生态环境。因此,开发一种快速、准确的 CBF 检测方法迫在眉睫。本研究开发了一种低成本、便携、易用的纸质芯片生物传感器,集成了智能手机,用于检测 CBF 农药残留。这种生物传感器便于现场快速检测,满足了即时分析的需要。CBF 具有抑制乙酰胆碱酯酶(AChE)活性的能力。在 AChE 存在的情况下,乙酰硫代胆碱 (ATCh) 会水解生成硫代胆碱 (TCh)。反过来,硫代胆碱又会抑制以 Ni(OH)2 纳米芯片为金属前体合成的 Ni-N-C 单原子纳米酶(SAzyme)的催化活性,而 SAzyme 具有很高的过氧化物酶活性。因此,可以通过观察颜色的变化来确定 CBF 的浓度。结果表明,该传感器在 CBF 浓度为 10 至 500 纳克/毫升的范围内具有良好的线性响应,最低检测限低至 8.79 纳克/毫升。在测试三种实际样品--大白菜、卷心菜和莴苣时,回收率在 81.09% 至 125.27% 之间。这表明,利用 Ni-N-C SAzyme 提出的基于智能手机的比色纸片传感器为检测 CBF 提供了一种即时、方便和快速的新策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smartphone-based colorimetric paper chip sensor using single-atom nanozyme for the detection of carbofuran pesticide residues in vegetables.

Carbofuran (CBF), which exhibit high toxicity, persistent residues, ease of accumulation, and resistance to degradation, pose serious threats to human health and harm the ecological environment. Therefore, there is an urgent need to develop a rapid and accurate method for detecting CBF. In this work, a low-cost, portable, and easy-to-use paper chip biosensor was developed, integrating smartphones for the detection of CBF pesticide residues. This biosensor facilitates rapid on-site testing, meeting the needs for immediate analysis. CBF has the ability to inhibit acetylcholinesterase (AChE) activity. In the presence of AChE, acetylthiocholine (ATCh) is hydrolyzed to produce thiocholine (TCh). TCh, in turn, can inhibit the catalytic activity of Ni-N-C single-atom nanozymes (SAzyme) synthesized using Ni(OH)2 nanochip as a metal precursor, which possess high peroxidase activity. Consequently, the concentration of CBF can be determined by observing the resultant color changes. The results showed that this sensor had a good linear response in the range of CBF concentration from 10 to 500 ng/mL, and the LOD was as low as 8.79 ng/mL. In testing three actual samples-Chinese cabbage, cabbage, and lettuce-the recoveries ranged from 81.09% to 125.27%. This demonstrated that the proposed smartphone-based colorimetric paper chip sensor, utilizing Ni-N-C SAzyme, offers an immediate, convenient, and rapid new strategy for detecting CBF.

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