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Molecules
Volume 23
Issue 9
10.3390/molecules23092332
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Article

Rapid Determination of the Oil and Moisture Contents in Camellia gauchowensis Chang and Camellia semiserrata Chi Seeds Kernels by Near-infrared Reflectance Spectroscopy

by
Yingzhong Zhang
1,†,
Liangbo Zhang
2,†,
Jing Wang
1,*,
Xuxiao Tang
1,
Hong Wu
2,
Minghuai Wang
1,
Wu Zeng
3,
Qihui Mo
4,
Yongquan Li
5,
Jianwei Li
3,
Yijuan Huang
4,
Baohua Xu
1 and
Mengyu Zhang
1
1
Guangdong Provincial Key Laboratory of Silviculture, Protection and Utilization, Guangdong Academy of Forestry, Guangzhou 510520, China
2
Institute of Bioresource and Bioenergy, Hunan Academy of Forestry, Changsha 410004, China
3
Department of Science and Technology, Gaozhou Institute of Forestry, Maoming 525200, China
4
Department of Science and Technology, Guangning Institute of Forestry, Zhaoqing 526300, China
5
Department of Science and Technology, Guangdong Province Forestry Science and Technology Extension Station, Guangzhou 510173, China
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Molecules 2018, 23(9), 2332; https://doi.org/10.3390/molecules23092332
Received: 20 July 2018 / Revised: 3 September 2018 / Accepted: 4 September 2018 / Published: 12 September 2018
(This article belongs to the Section Analytical Chemistry)
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Abstract

A fast and effective determination method of different species of vegetable seeds oil is vital in the plant oil industry. The near-infrared reflectance spectroscopy (NIRS) method was developed in this study to analyze the oil and moisture contents of Camellia gauchowensis Chang and C. semiserrata Chi seeds kernels. Calibration and validation models were established using principal component analysis (PCA) and partial least squares (PLS) regression methods. In the prediction models of NIRS, the levels of accuracy obtained were sufficient for C. gauchowensis Chang and C. semiserrata Chi, the correlation coefficients of which for oil were 0.98 and 0.95, respectively, and those for moisture were 0.92 and 0.89, respectively. The near infrared spectrum of crush seeds kernels was more precise compared to intact kernels. Based on the calibration models of the two Camellia species, the NIRS predictive oil contents of C. gauchowensis Chang and C. semiserrata Chi seeds kernels were 48.71 ± 8.94% and 58.37 ± 7.39%, and the NIRS predictive moisture contents were 4.39 ± 1.08% and 3.49 ± 0.71%, respectively. The NIRS technique could determine successfully the oil and moisture contents of C. gauchowensis Chang and C. semiserrata Chi seeds kernels. View Full-Text
Keywords: near infrared reflectance spectroscopy; Camellia seeds kernel; oil content; moisture content near infrared reflectance spectroscopy; Camellia seeds kernel; oil content; moisture content
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MDPI and ACS Style

Zhang, Y.; Zhang, L.; Wang, J.; Tang, X.; Wu, H.; Wang, M.; Zeng, W.; Mo, Q.; Li, Y.; Li, J.; Huang, Y.; Xu, B.; Zhang, M. Rapid Determination of the Oil and Moisture Contents in Camellia gauchowensis Chang and Camellia semiserrata Chi Seeds Kernels by Near-infrared Reflectance Spectroscopy. Molecules 2018, 23, 2332. https://doi.org/10.3390/molecules23092332

AMA Style

Zhang Y, Zhang L, Wang J, Tang X, Wu H, Wang M, Zeng W, Mo Q, Li Y, Li J, Huang Y, Xu B, Zhang M. Rapid Determination of the Oil and Moisture Contents in Camellia gauchowensis Chang and Camellia semiserrata Chi Seeds Kernels by Near-infrared Reflectance Spectroscopy. Molecules. 2018; 23(9):2332. https://doi.org/10.3390/molecules23092332

Chicago/Turabian Style

Zhang, Yingzhong, Liangbo Zhang, Jing Wang, Xuxiao Tang, Hong Wu, Minghuai Wang, Wu Zeng, Qihui Mo, Yongquan Li, Jianwei Li, Yijuan Huang, Baohua Xu, and Mengyu Zhang. 2018. "Rapid Determination of the Oil and Moisture Contents in Camellia gauchowensis Chang and Camellia semiserrata Chi Seeds Kernels by Near-infrared Reflectance Spectroscopy" Molecules 23, no. 9: 2332. https://doi.org/10.3390/molecules23092332

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