Korean
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Journal of Agricultural and Food Chemistry 2011-Sep

Quantification of the Robusta fraction in a coffee blend via Raman spectroscopy: proof of principle.

등록 된 사용자 만 기사를 번역 할 수 있습니다.
로그인 / 가입
링크가 클립 보드에 저장됩니다.
Thomas Wermelinger
Lucio D'Ambrosio
Babette Klopprogge
Chahan Yeretzian

키워드

요약

Among the 100 different known Coffea species, Coffea arabica L. (Arabica) and Coffea canephora Pierre (Robusta) are the only two of commercial interest. They differ in a range of agronomic, genetic, and chemical properties. Due to the significant price difference between Arabica and Robusta, there is an economic incentive to illicitly replace Arabica with Robusta. Therefore, it is crucial to have accurate methods to determine the Robusta-to-Arabica-ratio in blends. This paper presents the proof of principle of a new and fast approach to determine the Robusta fraction in a blend based on Raman spectroscopy. The oils of two references (a pure Robusta and pure Arabica coffee) and six blends thereof consisting of different Robusta and Arabica fractions were extracted using a Soxhlet system. The solutes were analyzed by means of Raman spectroscopy without further workup. Using the intensity ratio between two Raman peaks, one characteristic for kahweol and one characteristic for fatty acids, allowed determinination of the Robusta content in a given mixture. The intensity ratio is linearly dependent on the Robusta content of the compound. Above a Robusta content of 75 wt %, kahweol was not detectable. The Raman data are in agreement with results obtained from the very time-consuming multistep DIN 10777 procedures based on HPLC.

페이스 북
페이지에 가입하세요

과학이 뒷받침하는 가장 완벽한 약초 데이터베이스

  • 55 개 언어로 작동
  • 과학이 뒷받침하는 약초 치료제
  • 이미지로 허브 인식
  • 인터랙티브 GPS지도-위치에 허브 태그 지정 (출시 예정)
  • 검색과 관련된 과학 출판물 읽기
  • 효과로 약초 검색
  • 관심사를 정리하고 뉴스 연구, 임상 실험 및 특허를 통해 최신 정보를 확인하세요.

증상이나 질병을 입력하고 도움이 될 수있는 약초에 대해 읽고 약초를 입력하고 사용되는 질병과 증상을 확인합니다.
* 모든 정보는 발표 된 과학 연구를 기반으로합니다.

Google Play badgeApp Store badge