Protected Geographical Indication Identification of a Chinese Green Tea (Anji-White) by Near-Infrared Spectroscopy and Chemometric Class Modeling Techniques
المؤلفون المشاركون
Yu, Xiao-Ping
Fu, Xian-Shu
Cai, Chen-Bo
Xu, Lu
Cui, Hai-Feng
Shi, Peng-Tao
Ye, Zi-Hong
المصدر
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2012-10-16
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
This paper reports a rapid identification method for a Chinese green tea with PGI, Anji-white tea, by class modeling techniques and NIR spectroscopy.
167 real and representative Anji-white tea samples were collected from 8 tea plantations in their original producing areas for model training.
Another 81 non-Anji-white tea samples of similar appearance were collected from 7 important tea producing areas and used for validation of model specificity.
Diffuse NIR spectra were measured with finely ground tea powders.
OCPLS and SIMCA were used to describe the distribution of representative Anji-white tea objects and predict the authenticity of new objects.
For data preprocessing, smoothing, derivatives, and SNV were applied to improve the raw spectra and classification performance.
It is demonstrated that taking derivatives and SNV can improve classification accuracy and reduce the complexity of class models by removing spectral background and baseline.
For the best models, the sensitivity and specificity were 0.886 and 0.951 for OCPLS, 0.886 and 0.938 for SIMCA with SNV spectra, respectively.
Although it is difficult to perform an exhaustive analysis of all types of potential false objects, the proposed method can detect most of the important non-Anji-white teas in the Chinese market.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xu, Lu& Shi, Peng-Tao& Fu, Xian-Shu& Cui, Hai-Feng& Ye, Zi-Hong& Cai, Chen-Bo…[et al.]. 2012. Protected Geographical Indication Identification of a Chinese Green Tea (Anji-White) by Near-Infrared Spectroscopy and Chemometric Class Modeling Techniques. Journal of Spectroscopy،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-476638
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xu, Lu…[et al.]. Protected Geographical Indication Identification of a Chinese Green Tea (Anji-White) by Near-Infrared Spectroscopy and Chemometric Class Modeling Techniques. Journal of Spectroscopy No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-476638
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xu, Lu& Shi, Peng-Tao& Fu, Xian-Shu& Cui, Hai-Feng& Ye, Zi-Hong& Cai, Chen-Bo…[et al.]. Protected Geographical Indication Identification of a Chinese Green Tea (Anji-White) by Near-Infrared Spectroscopy and Chemometric Class Modeling Techniques. Journal of Spectroscopy. 2012. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-476638
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-476638
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