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Design of a microbial contamination detector and analysis of error sources in its optical path

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dc.contributor.author Zhang, Chao
dc.contributor.author Yu, Xiang
dc.contributor.author Liu, Xingju
dc.contributor.author Zhang, Lei
dc.date.accessioned 2023-01-20T06:01:32Z
dc.date.available 2023-01-20T06:01:32Z
dc.date.issued 2014-05-09
dc.identifier.citation Zhang, C., Yu, X., Liu, X., & Zhang, L. (2014). Design of a microbial contamination detector and analysis of error sources in its optical path. Pakistan Journal of Pharmaceutical Sciences, 27. en_US
dc.identifier.issn 1011-601X
dc.identifier.uri http://142.54.178.187:9060/xmlui/handle/123456789/16239
dc.description.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%. en_US
dc.language.iso en en_US
dc.publisher Karachi: Faculty of Pharmacy & Pharmaceutical Sciences University of Karachi en_US
dc.subject Microbial contamination detection en_US
dc.subject spectrophotometric method en_US
dc.subject Light splitting unit en_US
dc.subject wavelength error analysis en_US
dc.title Design of a microbial contamination detector and analysis of error sources in its optical path en_US
dc.type Article en_US


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