Non-destructive Detection of Fatty Acid Content of Camellia Seed Based on Hyperspectral

Author:

Yang Xiwen1,Jiang Ping1,Luo Yahui1,Shi Yixin1

Affiliation:

1. College of Mechanical and Electrical Engineering, Hunan Agricultural University

Publisher

Japan Oil Chemists' Society

Subject

General Chemical Engineering,General Medicine,General Chemistry

Reference22 articles.

1. 1) Yun, Z.T.; Liao, X.Y.; Weng, X.C. Comparison of physicochemical properties and fatty acids composition of tea seed oil and Camellia oleifera seed oil. Sci. Technol. Food Ind. 6, 136-138 (2011).

2. 2) Wang, X.C.; Ye, L.U.; Liu, Y. Rapid nondestructive determination of moisture and protein contents in alaska pollock surimi by near infrared reflectance spectroscopy (NIRS). Food Science 31 (16), 168-171 (2010).

3. 3) Tian, J.; Qiaoling, L.I. Rapid determination of synthetic pigments in fruit-flavored beverage by near infrared spectroscopy. Food Science 39 (2), 293-297 (2018).

4. 4) Vergara-Diaz, O.; Vatter, T.; Kefauver, S.C.; Obata, T.; Fernie, A.R.; Araus, J.L. Assessing durum wheat ear and leaf metabolomes in the field through hyperspectral data. Plant J. 102, 615-630 (2020).

5. 5) Weng, S.; Tang, P.; Yuan, H.; Guo, B.; Yu, S. et al. Hyperspectral imaging for accurate determination of rice variety using a deep learning network with multi-feature fusion. Spectrochim. Acta A 234, 118237 (2020).

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