Authenticity Detection of Black Rice by Near-Infrared Spectroscopy and Support Vector Data Description
المؤلفون المشاركون
المصدر
International Journal of Analytical Chemistry
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-07-09
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Black rice is an important rice species in Southeast Asia.
It is a common phenomenon to pass low-priced black rice off as high-priced ones for economic benefit, especially in some remote towns.
There is increasing need for the development of fast, easy-to-use, and low-cost analytical methods for authenticity detection.
The feasibility to utilize near-infrared (NIR) spectroscopy and support vector data description (SVDD) for such a goal is explored.
Principal component analysis (PCA) is used for exploratory analysis and feature extraction.
Another two data description methods, i.e., k-nearest neighbor data description (KNNDD) and GAUSS method, are used as the reference.
A total of 142 samples from three brands were collected for spectral analysis.
Each time, the samples of a brand serve as the target class whereas other samples serve as the outlier class.
Based on both the first two principal components (PCs) and original variables, three types of data descriptions were constructed.
On average, the optimized SVDD model achieves acceptable performance, i.e., a specificity of 100% and a sensitivity of 94.2% on the independent test set with tight boundary.
It indicates that SVDD combined with NIR is feasible and effective for authenticity detection of black rice.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chen, Hui& Tan, Chao& Lin, Zan. 2018. Authenticity Detection of Black Rice by Near-Infrared Spectroscopy and Support Vector Data Description. International Journal of Analytical Chemistry،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1166503
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chen, Hui…[et al.]. Authenticity Detection of Black Rice by Near-Infrared Spectroscopy and Support Vector Data Description. International Journal of Analytical Chemistry No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1166503
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chen, Hui& Tan, Chao& Lin, Zan. Authenticity Detection of Black Rice by Near-Infrared Spectroscopy and Support Vector Data Description. International Journal of Analytical Chemistry. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1166503
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1166503
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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