Spectroscopy and Spectral Analysis, Volume. 42, Issue 3, 713(2022)
Rapid Determination of TBARS Contents in Tan Mutton Using Hyperspectral Imaging
Thiobarbituric acid reactive substances (TBARS) is the main chemical information that can effectively characterize the lipid oxidation degree in meat. A combination of hyperspectral technology with 2DCOS was investigated to develop the quantitative analysis model for assessing TBARS contents. The hyperspectral images of Tan mutton were collected in the spectral range of 400~1 000 nm. The regions of interest were manually set on the hyperspectral image of the, sample and the raw spectra data were extracted by ENVI 4.8 software. Partial least squares regression (PLSR) was established to correlate the spectra data with measured TBARS values. The kennard-Stone (KS) method was used to divide the whole data set to validate the calibration model. Savitzky-Golay (SG), de-trending and SG+de-trending were used to correct raw data for eliminating the interference information. The TBARS contents were regarded as a perturbation. Two-dimensional correlation spectra and their slice spectra were analyzed to determine the key variables associated with perturbation. Variable combination population analysis (VCPA), competitive adaptive reweighted sampling (CARS) and successive projections algorithm (SPA) was used to select variables from full spectra and 2DCOS analysis. PLSR algorithm was used to establish the hyperspectral quantitative analysis model of TBARS contents based on key variables. The result showed the PLSR model established by de-trending pretreatment presented good performance (
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Nai-yun FAN, Gui-shan LIU, Jing-jing ZHANG, Rui-rui YUAN, You-rui SUN, Yue LI. Rapid Determination of TBARS Contents in Tan Mutton Using Hyperspectral Imaging[J]. Spectroscopy and Spectral Analysis, 2022, 42(3): 713
Category: Research Articles
Received: Feb. 22, 2021
Accepted: Jun. 6, 2021
Published Online: Apr. 19, 2022
The Author Email: FAN Nai-yun (fny0606@163.com)