Machine Learning System To Monitor Hg<sup>2+</sup> and Sulfide Using a Polychromatic Fluorescence-Colorimetric Paper Sensor-Reference-Cited by-同舟云学术

Machine Learning System To Monitor Hg²⁺ and Sulfide Using a Polychromatic Fluorescence-Colorimetric Paper Sensor

Published:2023-02-07 Issue:7 Volume:15 Page:9800-9812
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Lu Zhiwei¹,Chen Maoting¹,Liu Tao²,Wu Chun¹,Sun Mengmeng¹^ORCID,Su Gehong¹^ORCID,Wang Xianxiang¹^ORCID,Wang Yanying¹,Yin Huadong³,Zhou Xinguang⁴,Ye Jianshan⁵,Shen Yizhong⁶^ORCID,Rao Hanbing¹^ORCID

Affiliation:

1. College of Science, Sichuan Agricultural University, Xinkang Road, Yucheng District, Ya’an 625014, P. R. China

2. College of Information Engineering, Sichuan Agricultural University, Xinkang Road, Yucheng District, Ya’an 625014, P. R. China

3. Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Huimin Road, Wenjiang District, Chengdu 611130, P. R. China

4. Shenzhen NTEK Testing Technology Co., Ltd., Shenzhen 518000, P. R. China

5. School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou 510641, P. R. China

6. Engineering Research Center of Bio-Process, Ministry of Education, School of Food & Biological Engineering, Hefei University of Technology, Hefei 230009, P. R. China

Funder

Sichuan Agricultural University

Department of Science and Technology of Sichuan Province

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.2c16565

Reference64 articles.

1. Development of sensitive and portable immunosensors based on signal amplification probes for monitoring the mercury(II) ions