Presentation
6 June 2017 Determination of total volatile basic nitrogen (TVB-N) content in pork meat using hyperspectral imaging technique (Conference Presentation)
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Abstract
Total volatile basic nitrogen (TVB-N) content is one of the important factors to measure the quality of meat. However, conventional chemical analysis methods for measuring TVB-N contents are time-consuming and labor-intensive, and are destructive procedures. The objective of this study is to investigate the possibility of fluorescence hyperspectral imaging techniques for determination of total volatile basic nitrogen (TVB-N) in beef meat. High intensity LED lights at 365 nm and 405 nm were used as the excitation for acquiring fluorescence images. Prediction algorithms based on simple band-ratio, partial least square discriminant analysis (PLS-DA) have been developed. This study shows that fluorescence hyperspectral imaging system has a good potential for rapid measurement of TVB-N content in meat.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hoonsoo Lee, Mirae Oh, Byoung-Kwan Cho, and Moon S. Kim "Determination of total volatile basic nitrogen (TVB-N) content in pork meat using hyperspectral imaging technique (Conference Presentation)", Proc. SPIE 10217, Sensing for Agriculture and Food Quality and Safety IX, 102170H (6 June 2017); https://doi.org/10.1117/12.2263862
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Hyperspectral imaging

Nitrogen

Luminescence

Algorithm development

Agriculture

Chemical analysis

Imaging systems

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