Machine learning for total organic carbon analysis of environmental water samples using high-throughput colorimetric sensors-Reference-Cited by-同舟云学术

Machine learning for total organic carbon analysis of environmental water samples using high-throughput colorimetric sensors

Author:

Luo Run¹²³⁴⁵^ORCID,Ma Guodong¹²³⁴⁵,Bi Sifan¹²³⁴⁵,Duan Qiannan⁶⁷⁸⁹¹⁰^ORCID,Chen Jiayuan¹²³⁴⁵,Feng Yunjin¹²³⁴⁵,Liu Fenli¹²³⁴⁵,Lee Jianchao¹²³⁴⁵^ORCID

Affiliation:

1. Department of Environmental Science

2. School of Geography and Tourism

3. Shaanxi Normal University

4. Xi'an 710062

5. China

6. State Key Laboratory of Pollution Control and Resource Reuse

7. Jiangsu Key Laboratory of Vehicle Emissions Control

8. School of the Environment

9. Nanjing University

10. Nanjing 210023

Abstract

Process of total organic carbon (TOC) prediction using colorimetric sensors and machine learning (ML).

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

Reference26 articles.

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