Paper
27 March 2022 Measurement of Escherichia coli biomass concentration in milk based on two-dimensional dynamic ultraviolet-visible spectrum
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Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 121697U (2022) https://doi.org/10.1117/12.2625070
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China
Abstract
Escherichia coli (E. coli) is a common source of contamination in dairy products and other beverages. In this paper, Ultraviolet-visible (UV-Vis) spectroscopy is applied to measurement of E. coli biomass concentration in milk due to its fast and non-contact advantages. Standard Normal Variable (SNV) combined with Multivariate Scattering Correction method (MSC) was used to processes the obtained Ultraviolet-visible spectrum to improve the feature intensity and reduce noise. Two-dimensional correlation analysis is used to capture the absorption characteristics of E. coli after red shift. The characteristic band of E. coli extracted from the two-dimensional correlation analysis was used as the initial data, combined with the Extreme Learning Machine network to establish a prediction model, and compared with the result of the plate counting method. It proves that the method in this paper is reasonable and effective. The results show that the accurate prediction model is coefficient of determination (R2) = 0.92741, mean squared error (mse) = 0.051274. Compared with the traditional method, the time in the analysis process is greatly shortened, from 10 min to 1 min, which means that the new method is more in line with the requirements of online measurement of dairy companies.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhen Zhou, Yunsong Ci, Shiyu Yang, Siqi Zhang, and Haoze Zhang "Measurement of Escherichia coli biomass concentration in milk based on two-dimensional dynamic ultraviolet-visible spectrum", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 121697U (27 March 2022); https://doi.org/10.1117/12.2625070
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KEYWORDS
Absorption

Scattering

Biological research

Spectroscopy

Absorbance

Spectrum analysis

Electrons

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