Rapid Recognition of Geoherbalism and Authenticity of a Chinese Herb by Data Fusion of Near-Infrared Spectroscopy (NIR) and Mid-Infrared (MIR) Spectroscopy Combined with Chemometrics
المؤلفون المشاركون
Xu, Lu
Yang, Tianming
Shi, Qiong
Fu, Hai-Yan
Xie, Shunping
Hu, Ou
Guo, Xiaoming
Lan, Wei
Wei, Liuna
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-04-30
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Fourier transform near-infrared (NIR) spectroscopy and mid-infrared (MIR) spectroscopy play important roles in all fingerprint techniques because of their unique characteristics such as reliability, versatility, precision, and ease of measurement.
In this paper, a supervised pattern recognition method based on the PLSDA algorithm by NIR and the NIR-MIR fusion spectra has been established to identify geoherbalism of Angelica dahurica from different regions and authenticity of Corydalis yanhusuo W.
T.
Wang.
Comparing principle component analysis (PCA) cannot successfully identify geographical origins of Angelica dahurica.
Linear discriminant analysis (LDA) also hardly distinguishes those origins.
Furthermore, the PLSDA model based on the data fusion of NIR and IR was more accurate and efficient.
But, the identification of authenticity of Corydalis yanhusuo W.
T.
Wang was still inaccurate in the PLSDA model.
Consequently, data fusion of NIR-MIR original spectra combined with moving window partial least-squares discriminant analysis was firstly used and showed perfect properties on authenticity and adulteration discrimination of Corydalis yanhusuo W.
T.
Wang.
It indicated that data fusion of NIR-MIR spectra combined with MWPLSDA could be considered as the promising tool for rapid discrimination of the geoherbalism and authenticity of more Chinese herbs in the future.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Fu, Hai-Yan& Shi, Qiong& Wei, Liuna& Xu, Lu& Guo, Xiaoming& Hu, Ou…[et al.]. 2019. Rapid Recognition of Geoherbalism and Authenticity of a Chinese Herb by Data Fusion of Near-Infrared Spectroscopy (NIR) and Mid-Infrared (MIR) Spectroscopy Combined with Chemometrics. Journal of Spectroscopy،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1192013
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Fu, Hai-Yan…[et al.]. Rapid Recognition of Geoherbalism and Authenticity of a Chinese Herb by Data Fusion of Near-Infrared Spectroscopy (NIR) and Mid-Infrared (MIR) Spectroscopy Combined with Chemometrics. Journal of Spectroscopy No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1192013
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Fu, Hai-Yan& Shi, Qiong& Wei, Liuna& Xu, Lu& Guo, Xiaoming& Hu, Ou…[et al.]. Rapid Recognition of Geoherbalism and Authenticity of a Chinese Herb by Data Fusion of Near-Infrared Spectroscopy (NIR) and Mid-Infrared (MIR) Spectroscopy Combined with Chemometrics. Journal of Spectroscopy. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1192013
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1192013
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