Abstract
Amygdalin content in apricot kernels is an essential factor in the rapid and nondestructive identification of sweet or bitter apricot kernels through spectroscopy. Now, amygdalin content has been determined by high-performance liquid chromatography and near-infrared spectral database to construct a model so that the sweet or bitter apricot kernels could be identified and classified. Principal component analysis–K-nearest neighbor classification algorithm combined with multivariate scattering correction pretreatment method could distinguish sweet and bitter apricot kernels in the wavelength range of 1650–1740 nm with 98.3% accuracy and apricot kernel species with 96.3% recognition rate in the full wavelength spectrum. Furthermore, prediction of amygdalin content in bitter and sweet apricot kernels by partial least squares model was superior to that by back-propagation neural network model. This study provides a theoretical basis for quality identification of apricot kernel quality, as well as a method for nondestructive and rapid detection of sweet and bitter apricot kernels.
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Acknowledgements
This study was supported by the National Key Research and Development Program (Grant No. 2019YFD1000600), the Natural Science Foundation of China (Grant Nos. 31760560 and 32160694) and the Graduate Research Innovation Project of Tarim University (Grant No. TDGRI202013).
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10068_2022_1095_MOESM4_ESM.pdf
Supplementary file4 (PDF 5651 KB) Fig. S4 Summary of raw spectra of three bitter apricot kernels and three sweet apricot kernels
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Supplementary file7 (PDF 734 KB) Fig. S7 PCA dimensionality reduction results of original spectra of eight apricot kernels
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Supplementary file9 (PDF 532 KB) Fig. S9 PCA dimensionality reduction results after MSC preconditioning of eight apricot kernels
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Huang, X., Xu, J., Gao, F. et al. Rapid quantitative typing spectra model for distinguishing sweet and bitter apricot kernels. Food Sci Biotechnol 31, 1123–1131 (2022). https://doi.org/10.1007/s10068-022-01095-y
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DOI: https://doi.org/10.1007/s10068-022-01095-y