化学计量学
计算机科学
分析物
领域(数学)
单变量
生物电磁学
数据科学
生化工程
数据挖掘
纳米技术
人工智能
机器学习
工程类
化学
材料科学
数学
色谱法
多元统计
物理
磁场
量子力学
纯数学
作者
Vanessa N. Ataide,Lauro A. Pradela‐Filho,Bárbara G.S. Guinati,Nikaele Sousa Moreira,Juliana Duarte Gonçalves,Camilla Machado Gentil Ribeiro,Daniel Grasseschi,Wendell K. T. Coltro,Maiara Oliveira Salles,Thiago R. L. C. Paixão
标识
DOI:10.1016/j.trac.2023.117091
摘要
Paper-based Analytical Devices (PADs) have changed the paradigm of chemical sensor development in point-of-need detection and diagnostics. Instead of the univariate method, the potentiality to extract a large quantity of information based on chemometrics techniques can enhance the well-known potential of the PADs to detect multiple analytes or discriminate and classify samples. The proposed article reviews recent progress on PADs using different analytical techniques to extract information (Colorimetric, Electrochemical, SERS, and Fluorescence) and their combination with chemometrics, demonstrating their combined advantages to generate powerful analytical platforms. The pioneering studies that significantly impacted the field of paper-based sensing are critically reviewed, along with future challenges to overcome.
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