Estimation of adenosine triphosphate content in ready-to-eat sausages with different storage days, using hyperspectral imaging coupled with R statistics
Estimation of adenosine triphosphate content in ready-to-eat sausages with different storage days, using hyperspectral imaging coupled with R statistics
复制标题
利用高光谱成像结合 R 统计估算不同储存天数的即食香肠中三磷酸腺苷含量
DOI:
10.1016/j.foodchem.2018.05.029
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发表时间:
2018-10-30
期刊:
影响因子:
8.8
通讯作者:
Rodriguez-Pulido, Francisco J.
中科院分区:
文献类型:
--
作者:
Feng, Chao-Hui;Makino, Yoshio;Rodriguez-Pulido, Francisco J.
A hyperspectral imaging (HSI) system (380-1000 nm) was investigated for non-invasively estimating adenosine triphosphate (ATP) content in ready-to-eat sausages during 5 days storage at 35 degrees C. A set of pretreated combinations were carried out on preprocessing the spectra to improve the performance of partial least squares regression (PLSR). According to the regression coefficient values, ten important wavelengths (385, 390, 395, 505, 580, 670, 745, 780, 855, and 955 nm) were selected in this study. PLSR models developed using full wavelengths and optimal wavelengths showed the prediction coefficient of determination (r(p)(2)) up to 0.8324 and 0.8606, respectively. The concentration and location of the ATP content in sausages were for the first time displayed via chemical imaging developed by R statistics. Combining HSI and multivariate analysis can quantify and visualize ATP dynamic changes during storage and a great potential in the processed meat industry for real-time inspection.