The method study of biomass consistency based on the fiber online test

Mingfu Zhao; Qiang Liao; Yan Chen; Nianbing Zhong

doi:10.1117/12.717268

6 November 2006 The method study of biomass consistency based on the fiber online test

Mingfu Zhao, Qiang Liao, Yan Chen, Nianbing Zhong

Proceedings Volume 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence; 63573Y (2006) https://doi.org/10.1117/12.717268
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

In a biological system which contains microbial bacterium liquid, we set a fiber attenuation measuring system. The change of the biomass concentration will affect the change of the light absorption and light scattering, and then change the receiving power. The paper bases on this physical phenomena and theory, makes the receiving power relate to the biomass' concentration testing and set up a new method to measure the biomass concentration. The paper describes the sensor's composing theory, the light path analyses and its theory explanation, at the same time deeply discusses that how the biomass changes in the near infrared circumstance. The experiment results and analyses show that this method is linear well to measure the microbial liquid concentration, it have many merits such as precise online testing, high sensitivity and long life use etc. The sensor's design theory and method is meaningful to be used on the preparation, making alcohol, microanalysis, biochemistry and environment protecting etc. It is a practical new style biomass concentration sensor and has a bright future.

Citation Download Citation

Mingfu Zhao, Qiang Liao, Yan Chen, and Nianbing Zhong "The method study of biomass consistency based on the fiber online test", Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 63573Y (6 November 2006); https://doi.org/10.1117/12.717268

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