Abstract:
:The feasibility of hyperspectral imaging (HSI) (400-1000nm) for tracing the chemical spoilage extent of the raw meat used for two kinds of processed meats was investigated. Calibration models established separately for salted and cooked meats using full wavebands showed good results with the determination coefficient in prediction (R2P) of 0.887 and 0.832, respectively. For simplifying the calibration models, two variable selection methods were used and compared. The results showed that genetic algorithm-partial least squares (GA-PLS) with as much continuous wavebands selected as possible always had better performance. The potential of HSI to develop one multispectral system for simultaneously tracing the chemical spoilage extent of the two kinds of processed meats was also studied. Good result with an R2P of 0.854 was obtained using GA-PLS as the dimension reduction method, which was thus used to visualize total volatile base nitrogen (TVB-N) contents corresponding to each pixel of the image.
journal_name
Food Chemjournal_title
Food chemistryauthors
Cheng W,Sun DW,Pu H,Wei Qdoi
10.1016/j.foodchem.2016.11.093subject
Has Abstractpub_date
2017-04-15 00:00:00pages
1989-1996eissn
0308-8146issn
1873-7072pii
S0308-8146(16)31942-2journal_volume
221pub_type
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