Results 251 to 260 of about 60,124 (297)
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Mining in chemometrics

Analytica Chimica Acta, 2008
Some of the increasingly spread data mining methods in chemometrics like exploratory data analysis, artificial neural networks, pattern recognition, and digital image processing with their highs and lows along with some of their representative applications are discussed.
Lucia, Mutihac, Radu, Mutihac
openaire   +2 more sources

Raman spectroscopy coupled with chemometrics for food authentication: A review

Trends in Analytical Chemistry (TrAC), 2020
In recent years, the frequent economically motivated adulteration (EMA) caused by component displacement, illegal addition, and other problems makes the food authenticity become a global issue, which requires appropriate identification methods.
Yi Xu   +8 more
semanticscholar   +1 more source

mdatools – R package for chemometrics

, 2020
The paper describes mdatools – R package, which implements mainly basic but also some advanced chemometric methods providing a unified interface and user experience. The package was created to give a low entry level for beginners, so they can start using
S. Kucheryavskiy
semanticscholar   +1 more source

Fast and non-destructive discriminating the geographical origin of Hangbaiju by hyperspectral imaging combined with chemometrics.

Spectrochimica Acta Part A - Molecular and Biomolecular Spectroscopy, 2022
Hangbaiju is highly appreciated flower tea for its health benefits, and its quality and price are affected by geographical origin. Fast and accurate identification of the geographical origin of Hangbaiju is very significant for producers, consumers and ...
Wan-Jun Long   +9 more
semanticscholar   +1 more source

Chemometric view on “comprehensive chemometrics”

Chemometrics and Intelligent Laboratory Systems, 2010
Abstract This paper presents a critical review on “Comprehensive chemometrics. Chemical and biochemical data analysis”, Steven D. Brown, Roma Tauler, Beata Walczak (Eds.), Elsevier, ISBN: 978-0-444-52702-8, Hardcover, 2.200pp, March 2009, € 1360, which is a four-volume set written by about 160 authors from 20 countries.
Alexey L. Pomerantsev   +1 more
openaire   +1 more source

Classification of Black Mahlab seeds (Monechma ciliatum) using GC-MS and FT-NIR and simultaneous prediction of their major volatile compounds using chemometrics.

Food Chemistry, 2022
The identification of geographical origin is an important factor in assessing the quality of aromatic and medicinal seeds such as Black Mahlab (Monechma ciliatum). However, at present, there are no studies concerning Black Mahlab Seeds (BMSs).
Haroon Elrasheid Tahir   +8 more
semanticscholar   +1 more source

Chemometrics for Raman Spectroscopy Harmonization

Applied Spectroscopy, 2022
Raman spectroscopy is used in a wide variety of fields, and in a plethora of different configurations. Raman spectra of simple analytes can often be analyzed using univariate approaches and interpreted in a straightforward manner.
Bastian Barton   +3 more
semanticscholar   +1 more source

Chemometrics,

2023
This chapter gives terminology relating to concepts in chemometrics. It recognises the existence of ISO Standards on terms used in statistics and probability and applied statistics and has not attempted to redefine basic concepts in statistics.
openaire   +2 more sources

Comparison of near-infrared (NIR) and mid-infrared (MIR) spectroscopy based on chemometrics for saffron authentication and adulteration detection.

Food Chemistry, 2020
In this work, the potential of near-infrared (NIR) and mid-infrared (MIR) spectroscopy along with chemometrics was investigated for authentication and adulteration detection of Iranian saffron samples. First, authentication of one-hundred saffron samples
Arian Amirvaresi   +4 more
semanticscholar   +1 more source

Recent trends in the use of FTIR spectroscopy integrated with chemometrics for the detection of edible oil adulteration

, 2021
Edible oils play an essential role in our routine life as cooking or frying oil as well as an ingredient used in food, medicine, and cosmetic commodities.
Rahul Jamwal   +5 more
semanticscholar   +1 more source

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