Rapid detection of chemical oxygen demand, pH value, total nitrogen, total phosphorus, and ammonia nitrogen in biogas slurry by near infrared spectroscopy-Reference-Cited by-同舟云学术

Rapid detection of chemical oxygen demand, pH value, total nitrogen, total phosphorus, and ammonia nitrogen in biogas slurry by near infrared spectroscopy

Published:2023 Issue:31 Volume:15 Page:3902-3914
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Qiu Jialing¹²^ORCID,Guo Hairong¹²,Xue Yinghao³,Liu Qingyu¹²,Xu Zhiyu³,He Li²^ORCID

Affiliation:

1. College of Engineering, Shenyang Agricultural University, Shenyang, 110866, China

2. Key Laboratory of Development and Application of Rural Renewable Energy, Biogas Institute of Ministry of Agriculture and Rural Affairs, 610041, Chengdu, China

3. Key Laboratory of Technology and Model for Cyclic Utilization from Agricultural Resources, Rural Energy and Environment Agency, Ministry of Agriculture and Rural Affairs, 100125, Beijing, China

Abstract

Effective treatment of sewage requires accurate measurement of important water quality parameters, such as chemical oxygen demand (COD), pH value, total nitrogen (TN), total phosphorus (TP), and ammonia nitrogen (NH3-N).

Funder

National Natural Science Foundation of China

Agriculture Research System of China

Sichuan Province Science and Technology Support Program

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/AY/D3AY00436H

Reference39 articles.

1. A comparative study between a new method and other machine learning algorithms for soil organic carbon and total nitrogen prediction using near infrared spectroscopy