Literature DB >> 29338173

Smartphone-Based VOC Sensor Using Colorimetric Polydiacetylenes.

Dong-Hoon Park, Jung-Moo Heo, Woomin Jeong, Young Hyuk Yoo1, Bum Jun Park2, Jong-Man Kim.   

Abstract

Owing to a unique colorimetric (typically blue-to-red) feature upon environmental stimulation, polydiacetylenes (PDAs) have been actively employed in chemosensor systems. We developed a highly accurate and simple volatile organic compound (VOC) sensor system that can be operated using a conventional smartphone. The procedure begins with forming an array of four different PDAs on conventional paper using inkjet printing of four corresponding diacetylenes followed by photopolymerization. A database of color changes (i.e., red and hue values) is then constructed on the basis of different solvatochromic responses of the 4 PDAs to 11 organic solvents. Exposure of the PDA array to an unknown solvent promotes color changes, which are imaged using a smartphone camera and analyzed using the app. A comparison of the color changes to the database promoted by the 11 solvents enables the smartphone app to identify the unknown solvent with 100% accuracy. Additionally, it was demonstrated that the PDA array sensor was sufficiently sensitive to accurately detect the 11 VOC gases.

Entities:  

Keywords:  VOC sensor; conjugated polymer; polydiacetylene; smartphone-based detection; solvatochromism

Year:  2018        PMID: 29338173     DOI: 10.1021/acsami.7b18121

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  4 in total

1.  Quantitative Colorimetric Detection of Dissolved Ammonia Using Polydiacetylene Sensors Enabled by Machine Learning Classifiers.

Authors:  Papaorn Siribunbandal; Yong-Hoon Kim; Tanakorn Osotchan; Zhigang Zhu; Rawat Jaisutti
Journal:  ACS Omega       Date:  2022-05-26

2.  A molecularly imprinted polymer undergoing a color change depending on the concentration of bisphenol A.

Authors:  Min Jae Shin; Jae Sup Shin
Journal:  Mikrochim Acta       Date:  2019-12-12       Impact factor: 5.833

3.  Highly-Sensitive Detection of Volatile Organic Compound Vapors by Electrospun PANI/P3TI/PMMA Fibers.

Authors:  Duy Linh Vu; Tz-Feng Lin; Ting-Han Lin; Ming-Chung Wu
Journal:  Polymers (Basel)       Date:  2020-02-16       Impact factor: 4.329

4.  Chromogenic Anticounterfeit and Security Papers: An Easy and Effective Approach.

Authors:  José Carlos Guirado-Moreno; Marta Guembe-García; José M García; Roberto Aguado; Artur J M Valente; Saúl Vallejos
Journal:  ACS Appl Mater Interfaces       Date:  2021-12-07       Impact factor: 9.229

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.