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Selection of industrial tomatoes using TD-NMR data and computational classification methods
(2021-05-01)
Tomato processing chain has a world economic relevance for the food industry and the agribusiness, providing ready-to-eat products and raw material for other production chains. The product quality is depending on control ...
Monitoring of soluble pectin content in orange juice by means of MIR and TD-NMR spectroscopy combined with machine learning
(2020-12-01)
This study represents a rapid and non-destructive approach based on mid-infrared (MIR) spectroscopy, time domain nuclear magnetic resonance (TD-NMR), and machine learning classification models (ML) for monitoring soluble ...
Classification of commercial catuaba samples by NMR, HPLC and chemometrics
(Wiley-blackwellHobokenEUA, 2008)
Comparison of different multivariate classification methods for the detection of adulterations in grape nectars by using low-field nuclear magnetic resonance
(Universidade Federal de Minas GeraisBrasilFAR - DEPARTAMENTO DE ALIMENTOSICX - DEPARTAMENTO DE QUÍMICAUFMG, 2020)
Classification of Brazilian vinegars according to their H-1 NMR spectra by pattern recognition analysis
(Elsevier Science BvAmsterdamHolanda, 2009)
Consecutive Queries to Assess Biological Correlation in NMR Metabolomics: Performance of Comprehensive Search of Multiplets over Typical 1D 1H NMR Database Search
(American Chemical Society, 2020-05-25)
NMR-based metabolomics requires proper identification of metabolites to draw conclusions from the system under study. Normally, multivariate data analysis is performed using 1D 1H NMR spectra, and identification of peaks ...