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Please use this identifier to cite or link to this item: http://142.54.178.187:9060/xmlui/handle/123456789/16239
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dc.contributor.authorZhang, Chao-
dc.contributor.authorYu, Xiang-
dc.contributor.authorLiu, Xingju-
dc.contributor.authorZhang, Lei-
dc.date.accessioned2023-01-20T06:01:32Z-
dc.date.available2023-01-20T06:01:32Z-
dc.date.issued2014-05-09-
dc.identifier.citationZhang, 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.issn1011-601X-
dc.identifier.urihttp://142.54.178.187:9060/xmlui/handle/123456789/16239-
dc.description.abstractMicrobial 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.isoenen_US
dc.publisherKarachi: Faculty of Pharmacy & Pharmaceutical Sciences University of Karachien_US
dc.subjectMicrobial contamination detectionen_US
dc.subjectspectrophotometric methoden_US
dc.subjectLight splitting uniten_US
dc.subjectwavelength error analysisen_US
dc.titleDesign of a microbial contamination detector and analysis of error sources in its optical pathen_US
dc.typeArticleen_US
Appears in Collections:Issue No.3 (Supplementary)

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