Non-destructive assessment of the myoglobin content of Tan sheep using hyperspectral imaging
| Autor: | Limin Ma, Guishan Liu, Jianguo He, Lijuan Cheng, Chao Ma, Guoling Wan, Jingjing Ban |
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| Rok vydání: | 2019 |
| Předmět: |
Myoglobin
0402 animal and dairy science Paraspinal Muscles Hyperspectral imaging Sampling (statistics) 04 agricultural and veterinary sciences Hyperspectral Imaging 040401 food science 040201 dairy & animal science Support vector machine chemistry.chemical_compound Red Meat 0404 agricultural biotechnology chemistry Reference values Non destructive Content (measure theory) Partial least squares regression Animals Least-Squares Analysis Biological system Sheep Domestic Food Science Mathematics |
| Zdroj: | Meat science. 167 |
| ISSN: | 1873-4138 |
| Popis: | This study aimed to develop simplified models for rapid and nondestructive monitoring myoglobin contents (DeoMb, MbO2 and MetMb) during refrigerated storage of Tan sheep based on a hyperspectral imaging (HSI) system in the spectral range of 400–1000 nm. Partial least squares regression (PLSR) and least-squares support vector machines (LSSVM) were applied to correlate the spectral data with the reference values of myoglobin contents measured by a traditional method. In order to simplify the LSSVM models, competitive adaptive reweighted sampling (CARS) and Interval variable iterative space shrinkage approach (iVISSA) were used to select key wavelengths. The new CARS-LSSVM models of DeoMb and MbO2 yielded good results, with R2p of 0.810 and 0.914, RMSEP of 1.127 and 2.598, respectively. The best model of MetMb was new iVISSA-CARS-LSSVM, with an R2p of 0.915 and RMSEP of 2.777. The overall results from this study indicated that it was feasible to predict myoglobin contents in Tan sheep using HSI. |
| Databáze: | OpenAIRE |
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