Winston Pinheiro Claro Gomes, Gustavo Maximiano Alves, Fernanda C. O. L. Martins, Wanessa R. Melchert
{"title":"ICP OES combined with chemometric tools to differentiate green coffee beans in special or traditional","authors":"Winston Pinheiro Claro Gomes, Gustavo Maximiano Alves, Fernanda C. O. L. Martins, Wanessa R. Melchert","doi":"10.1007/s00217-025-04664-7","DOIUrl":null,"url":null,"abstract":"<div><p>Minerals were determined in green coffee beans using an inductively coupled plasma atomic emission spectroscopy (ICP OES). Sodium, magnesium, potassium, phosphorus, calcium, manganese, iron, copper, and zinc were quantified in 10 samples of specialty coffees and 8 of traditional coffees. It employed the two types of dry digestion (<i>in natura</i> and or extract of samples obtained by the cupping protocol). The ANOVA and Tukey’s tests were applied in the obtained results with a confidence interval of 95% (α < 0.05), and Principal Component Analysis (PCA) was used to evaluate the differentiation between the types of coffee. The PCA allowed the differentiation between special and traditional green coffee beans and an understanding of the attributes (potassium, iron, and copper) that influenced the differentiation between the classifications. Therefore, special and traditional green coffee beans can be differentiated using ICP OES in special and traditional dry digestion methods.</p></div>","PeriodicalId":549,"journal":{"name":"European Food Research and Technology","volume":"251 5","pages":"735 - 746"},"PeriodicalIF":3.0000,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Food Research and Technology","FirstCategoryId":"97","ListUrlMain":"https://link.springer.com/article/10.1007/s00217-025-04664-7","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Minerals were determined in green coffee beans using an inductively coupled plasma atomic emission spectroscopy (ICP OES). Sodium, magnesium, potassium, phosphorus, calcium, manganese, iron, copper, and zinc were quantified in 10 samples of specialty coffees and 8 of traditional coffees. It employed the two types of dry digestion (in natura and or extract of samples obtained by the cupping protocol). The ANOVA and Tukey’s tests were applied in the obtained results with a confidence interval of 95% (α < 0.05), and Principal Component Analysis (PCA) was used to evaluate the differentiation between the types of coffee. The PCA allowed the differentiation between special and traditional green coffee beans and an understanding of the attributes (potassium, iron, and copper) that influenced the differentiation between the classifications. Therefore, special and traditional green coffee beans can be differentiated using ICP OES in special and traditional dry digestion methods.
期刊介绍:
The journal European Food Research and Technology publishes state-of-the-art research papers and review articles on fundamental and applied food research. The journal''s mission is the fast publication of high quality papers on front-line research, newest techniques and on developing trends in the following sections:
-chemistry and biochemistry-
technology and molecular biotechnology-
nutritional chemistry and toxicology-
analytical and sensory methodologies-
food physics.
Out of the scope of the journal are:
- contributions which are not of international interest or do not have a substantial impact on food sciences,
- submissions which comprise merely data collections, based on the use of routine analytical or bacteriological methods,
- contributions reporting biological or functional effects without profound chemical and/or physical structure characterization of the compound(s) under research.