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Pattern recognition applied to mineral characterization of Brazilian coffees and sugar-cane spirits ☆

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TLDR
Aluminium, Ca, Cu, Fe, K, Mg, Mn, Na, Pb, S, Se, Si, Sn, Sr, and Zn were determined in coffee and sugarcane spirit (cachaca) samples by axial viewing inductively coupled plasma optical emission spectrometry (ICP OES) as mentioned in this paper.
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This article is published in Spectrochimica Acta Part B: Atomic Spectroscopy.The article was published on 2005-06-30. It has received 78 citations till now.

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Trace-element composition and stable-isotope ratio for discrimination of foods with Protected Designation of Origin

TL;DR: In this article, the authors review the literature on authentication of foods with Protected Designation of Origin (PDO) from their trace-element composition or stable-isotope ratios in order to evaluate the state of the art of this field and to identify the main parameters of analytical techniques and chemometric data treatments that permit accurate discrimination of samples of different geographical origins and with different characteristics.
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Headspace solid-phase microextraction-gas chromatographic-time-of-flight mass spectrometric methodology for geographical origin verification of coffee.

TL;DR: The conducted research involves the development of a rapid headspace solid-phase microextraction (HS-SPME)-gas chromatography-time-of-flight mass spectrometry (GC-TOFMS) method that is utilized for the verification of geographical origin traceability of coffee samples.
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UV–Vis spectrometric classification of coffees by SPA–LDA

TL;DR: In this paper, the authors compared soft independent modelling of class analogy (SIMCA) and linear discriminant analysis (LDA) with wavelength selection by the successive projections algorithm (SPA), and the best results were obtained by SPA-LDA, which correctly classified all test samples.
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Method development for the determination of manganese, cobalt and copper in green coffee comparing direct solid sampling electrothermal atomic absorption spectrometry and inductively coupled plasma optical emission spectrometry.

TL;DR: Cobalt, copper and manganese have been chosen as test elements as they were found to be significant in previous investigations and there was no significant difference between the values obtained with SS-ET AAS and ICP OES for Mn and Cu.
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Green chemistry in analytical atomic spectrometry: a review

TL;DR: The main pathways for greening atomic spectrometry such as downsizing of instrumentation, use of portable instruments, solid sampling, application of clean energies (ultrasound, microwaves, etc.) for sample pre-treatment, development of on-site, on-line and at-line approaches vs. typical off-line methods, and application of modern extraction techniques (e.g., solid-and liquid-phase microextraction), green solvents and derivatization agents and use of chemometric tools for method optimization, signal processing, etc. as discussed by the authors
References
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Book

Handbook of Chemometrics and Qualimetrics

TL;DR: In this article, a statistical description of the quality of processes and measurements is given, and an introduction to Hypothesis Testing is given. But this is not a complete survey of the literature.
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Looking for natural patterns in data: Part 1. Density-based approach

TL;DR: In this article, a density-based unsupervised clustering approach for detecting natural patterns in data (further denoted as NP) is presented, and its performance is illustrated for data sets with different types of clusters.
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Chemical Profiling To Differentiate Geographic Growing Origins of Coffee

TL;DR: The development of a method combining elemental analysis and classification techniques that may be widely applied to the determination of the geographical origin of foods is reported.
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