title: Design of a microbial contamination detector and analysis of error sources in its optical path.
abstract: Microbial contamination is a growing concern in the food safety today. To effectively control the types and degree of microbial contamination during food production, this paper introduces a design for a microbial contamination detector that can be used for quick in-situ examination. The designed detector can identify the category of microbial contamination by locating its characteristic absorption peak and then can calculate the concentration of the microbial contamination by fitting the absorbance vs. concentration lines of standard samples with gradient concentrations. Based on traditional scanning grating detection system, this design improves the light splitting unit to expand the scanning range and enhance the accuracy of output wavelength. The motor rotation angle φ is designed to have a linear relationship with the output wavelength angle λ, which simplifies the conversion of output spectral curves into wavelength vs. light intensity curves. In this study, we also derive the relationship between the device's major sources of errors and cumulative error of the output wavelengths, and suggest a simple correction for these errors. The proposed design was applied to test pigments and volatile basic nitrogen (VBN) which evaluated microbial contamination degrees of meats, and the deviations between the measured values and the pre-set values were only in a low range of 1.15% - 1.27%.
authors.affiliation: School of Engineering and Technology, China University of Geosciences (Beijing), Beijing, China.
authors.forename: Chao
authors.initials: C
authors.lastname: Zhang
authors.affiliation: School of Engineering and Technology, China University of Geosciences (Beijing), Beijing, China.
authors.forename: Xiang
authors.initials: X
authors.lastname: Yu
authors.affiliation: School of Engineering and Technology, China University of Geosciences (Beijing), Beijing, China.
authors.forename: Xingju
authors.initials: X
authors.lastname: Liu
authors.affiliation: School of Engineering and Technology, China University of Geosciences (Beijing), Beijing, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Zhang
mesh_terms: D005516:Food Microbiology; D009584:Nitrogen / Q000032:analysis; D010860:Pigments, Biological / Q000032:analysis; D013053:Spectrophotometry / Q000379:methods*
chemical_list: D010860:Pigments, Biological; D009584:Nitrogen