Rapid and Non-destructive Determination of Oil Content of Peanut ( Arachis hypogaea L. ) Using Hyperspectral Imaging Ana
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Rapid and Non-destructive Determination of Oil Content of Peanut (Arachis hypogaea L.) Using Hyperspectral Imaging Analysis Huali Jin 1 & Yongsheng Ma 2 & Linlin Li 1 & Jun-Hu Cheng 3
Received: 2 October 2015 / Accepted: 15 December 2015 # Springer Science+Business Media New York 2016
Abstract Peanut (Arachis hypogaea L.) is rich in some important oils such as the high content of polyunsaturated fatty acids. The potential of hyperspectral imaging technique in the spectral range I (400–1000 nm) and II (1000–2500 nm) coupled with chemometrics analysis for predicting oil content in different peanut cultivars was investigated in this study. Hyperspectral images were obtained and the corresponding spectral data was extracted. Quantitative calibration models were established between pre-processing spectral data and the reference measured oil content by partial least squares regression (PLSR) analysis. By comparing the model performances based on different spectral pre-processing methods, the raw-PLSR models using full wavelengths presented better results with the determination coefficient (R2p) of 0.696 and 0.923, and root mean square errors by prediction (RMSEP) of 0.416 % and 0.208 %, respectively. In addition, six optimal wavelengths in the spectral range II were selected based on the regression coefficients of the established raw-PLSR model. The simplified PLSR model established only using identified optimal wavelengths also showed good performance with R2p of 0.934, and RMSEP of 0.197 %. The results demonstrated that hyperspectral imaging technique is a promising tool for
* Huali Jin [email protected] * Jun-Hu Cheng [email protected]
1
College of Food Science and Technology, Henan University of Technology, Zhengzhou 450000, China
2
Food Department, Henan University of Animal Husbandry and Economy, Zhengzhou 450045, China
3
College of Light Industry and Food Sciences, South China University of Technology, Guangzhou 510641, China
rapid and non-destructive determination of oil content in peanut. Keywords Hyperspectral imaging . Peanut . Oil content . Partial least squares regression . Wavelengths selection
Introduction Peanut (Arachis hypogaea L.) is one of the main commercial crops, which is universally cultivated especially in Asian countries. It has a high nutritional value, containing plentiful fat, protein, vitamins, sugar, and essential unsaturated fatty acid as well as the functional ingredients such as resveratrol and plant sterols. Because the nutritional contents of different peanut varieties are not exactly the same, it is used for oil production, peanut butter, candies, roasted peanuts and snack foods, extenders in meat product formulations, soups and desserts, and also for direct human consumption based on its dominant components (Rustom et al. 1996). Peanut is rich in oil content (38–60 %) and relatively low in ash and carbohydrate compared with other oilseed crops (Shewfelt and Young 1977). Fatty acids, particularly oleic and linoleic, are the main unsaturated fatty acid in peanut oil (a
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