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环境水样中砷的可视化检测:创新的肉眼生物传感器用于通用应用。

Visual arsenic detection in environmental waters: Innovating with a naked-eye biosensor for universal application.

机构信息

School of Public Health, Guangdong Medical University, Dongguan 523808, China.

Shenzhen Prevention and Treatment Center for Occupational Diseases, 2019 Buxin Road, Shenzhen 518020, China.

出版信息

J Hazard Mater. 2024 Sep 15;477:135398. doi: 10.1016/j.jhazmat.2024.135398. Epub 2024 Aug 2.

Abstract

Arsenic contamination in environmental water sources poses a significant threat to human health, necessitating the development of sensitive and accessible detection methods. This study presents a multidimensional optimization of a bacterial biosensor for the susceptible and deoxyviolacein (DV)-based visual detection of arsenic. The research involved screening six different arsenic resistance (ars) operons and optimizing the genetic circuit to minimize background noise. Introducing an arsenic-specific transport channel enhanced the sensor's sensitivity to 1 nM with a quantitative range from 0.036 to 1.171 μM. The pigment-based biosensor offers a simple colorimetric approach for arsenic detection without complex instrumentation. The preferred biosensor demonstrated characteristics of anti-chelating agent interference, consistently quantified As(III) concentrations ranging from 0.036 to 1.171 μM covering the World Health Organization (WHO) drinking water limit. Innovatively, it effectively detects arsenic in seawater within a linear regression range of 0.071 to 1.125 μM. The biosensor's selectivity for arsenic was confirmed, with minimal cross-response to group 15 metals. Our naked-eye biosensor offers a novel approach for the rapid, on-site detection of arsenic in various water sources. Its simplicity, cost-effectiveness, and versatility make it a valuable tool for environmental monitoring and public health initiatives.

摘要

砷污染是环境水源中对人类健康的重大威胁,因此需要开发灵敏且易于使用的检测方法。本研究提出了一种基于细菌生物传感器的多维优化方案,用于敏感和基于去氧紫堇(DV)的砷可视化检测。研究涉及筛选六种不同的砷抗性(ars)操纵子,并优化遗传电路以最小化背景噪声。引入砷特异性转运通道可将传感器的灵敏度提高到 1 nM,定量范围为 0.036 至 1.171 μM。基于色素的生物传感器提供了一种简单的比色法砷检测方法,无需复杂的仪器。首选的生物传感器具有抗螯合剂干扰的特性,可稳定地定量检测 0.036 至 1.171 μM 范围内的 As(III)浓度,涵盖世界卫生组织(WHO)饮用水限量。创新性地,它可以在 0.071 至 1.125 μM 的线性回归范围内有效检测海水中的砷。生物传感器对砷的选择性得到了确认,对第 15 族金属的交叉反应最小。我们的肉眼可见生物传感器为各种水源中砷的快速现场检测提供了一种新方法。其简单性、成本效益和多功能性使其成为环境监测和公共卫生计划的有价值工具。

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