Study on engineering module design for liquid macromolecular ingredient content detection Online publication date: Tue, 14-Jan-2020
by Xiaotong Na; Zhen Zhou; Chunyu Wang; Jia Qi
International Journal of Nanomanufacturing (IJNM), Vol. 16, No. 1, 2020
Abstract: The liquid milk with the main ingredients of protein and fat was used as the research background for liquid macromolecular ingredient content detection in this paper. A model for the protein and fat ingredient content was established with the theory of scattered through ratio. Based on this, the photoelectric detection module was designed. Multiple photoelectric detection module circuit boards had been tested, the average error of the scattered light direction photoelectric detection circuit was 0.0072 and the average error of the photoelectric detection circuit in the direction of transmission light was 0.0094. The correlation coefficient of the established model can reach 0.97 and the system measurement uncertainty is about 0.078. The above test results show that the design meet the engineering application indicators basically. The detection module designed in this paper had the convenience, fast and efficient real-time performance, the reproducibility and stability was satisfactory.
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