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Near-Infrared Spectroscopy Combined with Multivariate Calibration to Predict the Yield of Sesame Oil Produced by Traditional Aqueous Extraction Process
المؤلفون المشاركون
Xu, Yong-Dong
Zhou, Yan-Ping
Chen, Jing
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-5، 5ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-07-05
دولة النشر
مصر
عدد الصفحات
5
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1175787
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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