کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11011715 | 1802856 | 2019 | 34 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A simple voltammetric electronic tongue for the analysis of coffee adulterations
ترجمه فارسی عنوان
زبان ساده ی ولتاژ سنجی برای تجزیه و تحلیل قهوه
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کلمات کلیدی
Boric acid (PubChem CID: 7628)3,5-Dicaffeoylquinic acid (PubChem CID: 6474310)Acetic acid (PubChem CID: 176) - اسید استیک (PubChem CID: 176)Phosphoric acid (Pubchem CID: 1004) - اسید فسفریک (Pubchem CID: 1004)Chlorogenic acid (PubChem CID: 1794427) - اسید کلرژنیک (PubChem CID: 1794427)Carbon paste electrode - الکترود خمیر کربنGenetic algorithm - الگوریتم ژنتیکVariable selection - انتخاب متغیرDiscriminant analysis - تجزیه و تحلیل دائمیCoffee adulteration - تقلب قهوهDifferential pulse voltammetry - ولتامتری پالس تفاضلیMultivariate calibration - کالیبراسیون چند متغیره
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
چکیده انگلیسی
This work presents a simple and low-cost analytical approach to detect adulterations in ground roasted coffee by using voltammetry and chemometrics. The voltammogram of a coffee extract (prepared as simulating a home-made coffee cup) obtained with a single working electrode is submitted to pattern recognition analysis preceded by variable selection to detect the addition of coffee husks and sticks (adulterated/unadulterated), or evaluate the shelf-life condition (expired/unexpired). Two pattern recognition methods were tested: linear discriminant analysis (LDA) with variable selection by successive projections algorithm (SPA), or genetic algorithm (GA); and partial least squares discriminant analysis (PLS-DA). Both LDA models presented satisfactory results. The voltammograms were also evaluated for the quantitative determination of the percentage of impurities in ground roasted coffees. PLS and multivariate linear regression (MLR) preceded by variable selection with SPA or GA were evaluated. An excellent predictive power (RMSEPâ¯=â¯0.05%) was obtained with MLR aided by GA.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Food Chemistry - Volume 273, 1 February 2019, Pages 31-38
Journal: Food Chemistry - Volume 273, 1 February 2019, Pages 31-38
نویسندگان
Tais Carpintero Barroso de Morais, Dayvison Ribeiro Rodrigues, Urijatan Teixeira de Carvalho Polari Souto, Sherlan G. Lemos,