Near-Infrared Spectroscopy Combined with Multivariate Calibration to Predict the Yield of Sesame Oil Produced by Traditional Aqueous Extraction Process
Joint Authors
Xu, Yong-Dong
Zhou, Yan-Ping
Chen, Jing
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-05
Country of Publication
Egypt
No. of Pages
5
Abstract EN
Sesame oil produced by the traditional aqueous extraction process (TAEP) has been recognized by its pleasant flavor and high nutrition value.
This paper developed a rapid and nondestructive method to predict the sesame oil yield by TAEP using near-infrared (NIR) spectroscopy.
A collection of 145 sesame seed samples was measured by NIR spectroscopy and the relationship between the TAEP oil yield and the spectra was modeled by least-squares support vector machine (LS-SVM).
Smoothing, taking second derivatives (D2), and standard normal variate (SNV) transformation were performed to remove the unwanted variations in the raw spectra.
The results indicated that D2-LS-SVM (4000–9000 cm−1) obtained the most accurate calibration model with root mean square error of prediction (RMSEP) of 1.15 (%, w/w).
Moreover, the RMSEP was not significantly influenced by different initial values of LS-SVM parameters.
The calibration model could be helpful to search for sesame seeds with higher TAEP oil yields.
American Psychological Association (APA)
Xu, Yong-Dong& Zhou, Yan-Ping& Chen, Jing. 2017. Near-Infrared Spectroscopy Combined with Multivariate Calibration to Predict the Yield of Sesame Oil Produced by Traditional Aqueous Extraction Process. Journal of Food Quality،Vol. 2017, no. 2017, pp.1-5.
https://search.emarefa.net/detail/BIM-1175787
Modern Language Association (MLA)
Xu, Yong-Dong…[et al.]. Near-Infrared Spectroscopy Combined with Multivariate Calibration to Predict the Yield of Sesame Oil Produced by Traditional Aqueous Extraction Process. Journal of Food Quality No. 2017 (2017), pp.1-5.
https://search.emarefa.net/detail/BIM-1175787
American Medical Association (AMA)
Xu, Yong-Dong& Zhou, Yan-Ping& Chen, Jing. Near-Infrared Spectroscopy Combined with Multivariate Calibration to Predict the Yield of Sesame Oil Produced by Traditional Aqueous Extraction Process. Journal of Food Quality. 2017. Vol. 2017, no. 2017, pp.1-5.
https://search.emarefa.net/detail/BIM-1175787
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175787