Preprint

Rapid Determination of the Oil and Moisture Contents in Camellia Gauchowensis Chang and Camellia Semiserrata Chi Seeds Kernels by Near-Infrared Reflectance Spectroscopy

Yingzhong Zhang. Guangdong Provincial Key Laboratory of Silviculture, Protection and Utilization , Guangdong Academy of Forestry , Guangzhou 510520 , China;Liangbo Zhang. Hunan Academy of Forestry , Changsha 410004 , China;Jing Wang. Guangdong Provincial Key Laboratory of Silviculture, Protection and Utilization , Guangdong Academy of Forestry , Guangzhou 510520 , China;Xuxiao Tang. Guangdong Provincial Key Laboratory of Silviculture, Protection and Utilization , Guangdong Academy of Forestry , Guangzhou 510520 , China;Hong Wu. Hunan Academy of Forestry, Changsha 410004, China;Minghuai Wang. Guangdong Provincial Key Laboratory of Silviculture, Protection and Utilization , Guangdong Academy of Forestry , Guangzhou 510520 , China;Wu Zeng. Gaozhou Institute of Forestry , Maoming 525200 , China;Qihui Mo. Guangning Institute of Forestry, Zhaoqing 526300, China;Yong‐Quan Li. Guangdong Province Forestry Science and Technology Extension Station , Guangdong Guangzhou 510173 , China;Jianwei Li. Gaozhou Institute of Forestry , Maoming 525200 , China;Yijuan Huang. Guangning Institute of Forestry , Zhaoqing 526300 , China;Baohua Xu. Guangdong Provincial Key Laboratory of Silviculture, Protection and Utilization , Guangdong Academy of Forestry , Guangzhou 510520 , China;Mengyu Zhang. Guangdong Provincial Key Laboratory of Silviculture, Protection and Utilization , Guangdong Academy of Forestry , Guangzhou 510520 , China;

2018en

ABI

Annotatsiya

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 massively analyze the oil and moisture contents of Camellia gauchowensis Chang and C. semiserrata Chi seeds kernels. In the prediction models of NIRS, the levels of accuracy obtained were sufficient for C. gauchowensis Chang and C. semiserrata Chi, the correlation coefficient of which oil were 0.983 and 0.962, respectively, while which of moisture were 0.937 and 0.907, 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 31.71 ± 7.39%, respectively, and the NIRS predictive moisture contents were 4.39 ± 1.08% and 3.49 ± 0.71%, respectively. Compared with the traditional chemical measurement, the rapid, precise measurement of oil and moisture of C. gauchowensis Chang and C. semiserrata Chi seeds kernels can be actualized by NIRS method.

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Identifikatorlar

DOI: 10.20944/preprints201807.0433.v1

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