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An online monitoring device for measuring the concentration of four types of in-situ microorganisms by using the near-infrared band.
Ji, Chengming; Xu, Huanliang; Yu, Hongfeng; Cui, Zhongli; Fan, Jiaqing; Zhai, Zhaoyu.
Afiliação
  • Ji C; College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China.
  • Xu H; College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China.
  • Yu H; College of Engineering, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China.
  • Cui Z; College of Life Sciences, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China.
  • Fan J; College of Plant Protection, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China.
  • Zhai Z; College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China. Electronic address: zhaoyu.zhai@njau.edu.cn.
Spectrochim Acta A Mol Biomol Spectrosc ; 310: 123895, 2024 Apr 05.
Article em En | MEDLINE | ID: mdl-38262294
ABSTRACT
Using optical density at 600 nm (OD600) to measure the microbial concentration is a popular approach due to its advantages like quick response and non-destructive. However, the OD600 measurement might be affected by the metabolic pigment, and it would become invalid when the solution dilution is insufficient. To overcome these issues, we proposed to adopt a more robust wavelength at 890 nm to quantify the attenuation of transmission light. After selecting this light source, we designed the light path and the circuit of the online monitoring device. Meanwhile, the random forest algorithm was introduced for temperature compensation and improving the stability of the device. This device was verified by monitoring the microbial concentration of four strains (Yeast, Bacillus, Arthrobacter, and Escherichia coli). The experimental result suggested that the mean absolute percentage error reached 4.11 %, 4.28 %, 4.49 %, and 4.53 % respectively, which is helpful to improve the accuracy of microbial concentration measurement.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bacillus Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bacillus Idioma: En Ano de publicação: 2024 Tipo de documento: Article