Smartphone-based colorimetric detection system for portable health tracking-Reference-Cited by-同舟云学术

Smartphone-based colorimetric detection system for portable health tracking

Published:2021 Issue:38 Volume:13 Page:4361-4369
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Balbach Samira¹,Jiang Nan²^ORCID,Moreddu Rosalia³^ORCID,Dong Xingchen¹⁴,Kurz Wolfgang¹,Wang Congyan¹,Dong Jie¹,Yin Yixia⁵,Butt Haider⁶,Brischwein Martin⁷,Hayden Oliver⁷,Jakobi Martin¹,Tasoglu Savas⁸,Koch Alexander W.¹,Yetisen Ali K.⁴^ORCID

Affiliation:

1. Institute for Measurement Systems and Sensor Technology, Technical University of Munich, Munich 80333, Germany

2. West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China

3. Istituto Italiano di Tecnologia, 16163 Genova, Italy

4. Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UK

5. State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan 430070, China

6. Department of Mechanical Engineering, Khalifa University, Abu Dhabi 1277788, UAE

7. Heinz Nixdorf Chair Biomedical Electronics, TranslaTUM, Technical University of Munich, Munich 81675, Germany

8. Department of Mechanical Engineering, Koc University, Sariyer, Istanbul 34450, Turkey

Abstract

The use of colorimetric sensors is encouraged by their simple operation, but limited by the lack of standardization. This article reports on a smartphone application to precisely readout urine strips via color mapping and RGB-to-HSV transposition.

Funder

Engineering and Physical Sciences Research Council

Fundamental Research Funds for the Central Universities

Khalifa University of Science and Technology (KUST) for KU-KAIST Joint Research Center

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/AY/D1AY01209F

Reference36 articles.

1. Point-of-Care Diagnostics for Global Health