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Novel approaches for colorimetric measurements in analytical chemistry - A review

期刊

ANALYTICA CHIMICA ACTA
卷 1135, 期 -, 页码 187-203

出版社

ELSEVIER
DOI: 10.1016/j.aca.2020.07.030

关键词

Colorimetry; Colorimetric detection; Computer vision-based detection; Digital images

资金

  1. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq) [425114/2018-0, 428094/2018-0]
  2. Fundacao de Amparo a Pesquisa do Estado de Minas Gerais (FAPEMIG) [APQ-02272-18]
  3. Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [2018/22393-8, 2014-50945-4]

向作者/读者索取更多资源

Colorimetric techniques have been developed and used in routine analyses for over a century and apparently all their potentialities have been exhaustively explored. However, colorimetric techniques have gained high visibility in the last two decades mainly because of the development of the miniaturization concept, for example, paper-based analytical devices that mostly employ colorimetric reactions, and by the advances and popularity of image capture instruments. The impressive increase in the use of these devices was followed by the development and enhancement of different modes of color detection to meet the demands of making qualitative, semi-quantitative, and fully quantitative analyses of multiple analytes. Cameras, scanners, and smartphones are now being used for this purpose and have become suitable alternatives for different approaches to colorimetric analysis; this, in addition to advancements in miniaturized devices. On the other hand, recent developments in optoelectronics technologies have launched more powerful, more stable and cheaper light-emitting diodes (LEDs), which once again have become an interesting tool for the design of portable and miniaturized devices based on colored reactions. Here, we present a critical review of recent developments and challenges of colorimetric detection in modern analytical chemistry in the last five years, and present thoughts and insights towards future perspectives in the area to improve the use of colorimetric detection in different application approaches. (C) 2020 Elsevier B.V. All rights reserved.

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