Classification of Coffee Beans by GC-C-IRMS, GC-MS, and 1H-NMR
المؤلفون المشاركون
Arana, Victoria Andrea
Medina, Jessica
Esseiva, Pierre
Pazos, Diego
Wist, Julien
المصدر
Journal of Analytical Methods in Chemistry
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-07-18
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
In a previous work using 1H-NMR we reported encouraging steps towards the construction of a robust expert system for the discrimination of coffees from Colombia versus nearby countries (Brazil and Peru), to assist the recent protected geographical indication granted to Colombian coffee in 2007.
This system relies on fingerprints acquired on a 400 MHz magnet and is thus well suited for small scale random screening of samples obtained at resellers or coffee shops.
However, this approach cannot easily be implemented at harbour’s installations, due to the elevated operational costs of cryogenic magnets.
This limitation implies shipping the samples to the NMR laboratory, making the overall approach slower and thereby more expensive and less attractive for large scale screening at harbours.
In this work, we report on our attempt to obtain comparable classification results using alternative techniques that have been reported promising as an alternative to NMR: GC-MS and GC-C-IRMS.
Although statistically significant information could be obtained by all three methods, the results show that the quality of the classifiers depends mainly on the number of variables included in the analysis; hence NMR provides an advantage since more molecules are detected to obtain a model with better predictions.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Arana, Victoria Andrea& Medina, Jessica& Esseiva, Pierre& Pazos, Diego& Wist, Julien. 2016. Classification of Coffee Beans by GC-C-IRMS, GC-MS, and 1H-NMR. Journal of Analytical Methods in Chemistry،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1107387
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Arana, Victoria Andrea…[et al.]. Classification of Coffee Beans by GC-C-IRMS, GC-MS, and 1H-NMR. Journal of Analytical Methods in Chemistry No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1107387
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Arana, Victoria Andrea& Medina, Jessica& Esseiva, Pierre& Pazos, Diego& Wist, Julien. Classification of Coffee Beans by GC-C-IRMS, GC-MS, and 1H-NMR. Journal of Analytical Methods in Chemistry. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1107387
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1107387
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