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智能手机辅助近红外荧光传感器可视化检测白酒中的含水量。

Visual detection of water content in liquor with near-infrared fluorescence sensor assisted by smartphone.

机构信息

Engineering Research Center of Light Stabilizers for Polymer Materials, Universities of Shaanxi Province, School of Materials and Chemical Engineering, Xi'an Technological University, Xi'an 710021, PR China.

Engineering Research Center of Light Stabilizers for Polymer Materials, Universities of Shaanxi Province, School of Materials and Chemical Engineering, Xi'an Technological University, Xi'an 710021, PR China.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2024 Mar 5;308:123791. doi: 10.1016/j.saa.2023.123791. Epub 2023 Dec 18.

Abstract

Water content was an essential indicator in organic solvents, and it was necessary to develop a facile, cheap and readily available tool for the real-time, specifical and sensitive detection of water content. In this work, two novel D-π-A type near-infrared fluorescence sensors (DCM-1 and DCM-2) were designed and synthesized for the detection of trace water in organic solvents. DCM-1 and DCM-2 with solvent-dependent effects and large Stokes shift (>120 nm) showed good linear "intensity-to-content" relationships in four commonly-used organic solvents, and accomplished the ultra-fast and high-accuracy detection of the trace water in organic solvents. More importantly, a portable, fast, and accurate smartphone-assisted visual assay was designed for visual quantitative detection of the water content in organic solvents with a detection limit as low as 1.028 % v/v (e.g. in ethanol) and a wide detection range (0-60 % v/v). The smartphone-based visual assay was further applied to estimate the water content in disinfection alcohol and commercial liquor, which furnished a new strategy and broad prospects to achieve the accurate onsite detection of water content.

摘要

含水量是有机溶剂中的一个重要指标,因此需要开发一种简单、廉价且易于获得的工具,用于实时、特异性和灵敏地检测含水量。在这项工作中,设计并合成了两种新型 D-π-A 型近红外荧光传感器(DCM-1 和 DCM-2),用于检测有机溶剂中的痕量水分。DCM-1 和 DCM-2 具有溶剂依赖性效应和较大的斯托克斯位移(>120nm),在四种常用有机溶剂中表现出良好的线性“强度-含量”关系,实现了有机溶剂中痕量水分的超快、高精度检测。更重要的是,设计了一种便携式、快速且准确的智能手机辅助可视化分析方法,用于可视化定量检测有机溶剂中的含水量,检测限低至 1.028%v/v(例如在乙醇中),检测范围宽(0-60%v/v)。基于智能手机的可视化分析方法进一步用于估计消毒酒精和商业白酒中的含水量,为实现准确的现场检测含水量提供了一种新的策略和广阔的前景。

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