Analysis of Robusta coffee cultivated in agroforestry systems (AFS) by ESI-FT-ICR MS and portable NIR associated with sensory analysis

被引：17

作者：

Correia, Radigya M. ^{[1
]}

Andrade, Renato ^{[1
]}

Tosato, Flavia ^{[1
]}

Nascimento, Mariana T. ^{[1
]}

Pereira, Lucas L. ^{[2
]}

Araujo, Joao B. S. ^{[3
]}

Pinto, Fernanda E. ^{[1
]}

Endringer, Denise C. ^{[4
]}

Padovan, Maria P. ^{[3
]}

Castro, Eustaquio V. R. ^{[1
]}

Partelli, Fabio L. ^{[5
]}

Filgueiras, Paulo R. ^{[1
]}

Lacerda Jr, Valdemar ^{[1
]}

Romao, Wanderson ^{[1
,6
,7
]}

机构：

[1] Univ Fed Espirito Santo, Chem Dept, Vitoria, ES, Brazil

[2] Fed Inst Espirito Santo IFES, Food Sci & Technol Program, Venda Nova Do Imigrante, ES, Brazil

[3] Inst Capixaba Pesquisa Assistencia Tecn & Extensa, Vitoria, ES, Brazil

[4] Univ Vila Velha, Vila Velha, ES, Brazil

[5] Univ Fed Espirito Santo, Chem Dept, Sao Mateus, ES, Brazil

[6] Fed Inst Espirito Santo IFES, Vila Velha, ES, Brazil

[7] IFES, Inst Nacl Ciencia & Tecnol Forense, INCT Forense, Vila Velha, ES, Brazil

来源：

JOURNAL OF FOOD COMPOSITION AND ANALYSIS | 2020年 / 94卷

关键词：

Quality control; Robusta coffee; Food analysis; Food composition; ESI(-)FT-ICR MS; MicroNIR; Agroforestry systems; Chlorogenic acids; Fatty acids; NEAR-INFRARED SPECTROSCOPY; MASS-SPECTROMETRY; CHLOROGENIC ACIDS; CHEMICAL PROFILE; ARABICA COFFEE; LC-MSN; QUALITY; DISCRIMINATION; GREEN; QUANTIFICATION;

D O I：

10.1016/j.jfca.2020.103637

中图分类号：

O69 [应用化学];

学科分类号：

081704 ;

摘要：

Electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry (ESI(+/-)FT-ICR MS) and portable micro near-infrared spectroscopy (microNIR), coupled to sensory analysis, were used to propose a new analytical methodology to observe the characteristics of Robusta coffees cultivated in agroforestry systems (AFS). Principal component analysis (PCA) chemometric models provided excellent discrimination of the samples analyzed by ESI(+/-)FT-ICR mass spectra for the ground coffee grains. Analysis of the spectra allowed for identification of the compounds responsible for distinguishing the samples grown with different intercropping AFS species. The microNIR results corroborated the ESI(-)FT-ICR MS data and the sensory analysis, by grouping together coffees grown in AFS intercropped with Gliricidia sepium and Inga edulis. The coupling of these analytical techniques shows promise in coffee quality control, presenting advantages such as collection at point analysis, speed, and analytical reliability.

引用

页数：10

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