Chemometrics: Data Analysis for the Laboratory and Chemical Plant

By David E. Booth. Technometrics, 2004

905 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/1b9928af0aa4aa9ffd324b1528bc8559f5225828

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In Analytical Chemistry

Citations in the corpus

Peak Fitting Applied to Fourier Transform Infrared and Raman Spectroscopic Analysis of Proteins (2020, methodology): “, hydration level) of your system to identify potential hidden overlapping peaks, (ii) using derivative spectroscopy in order to locate the overlapping hidden peaks [31,34], and finally (iii) curve fitting of the experimental spectrum by a function which is the sum of the individual peaks [31].”
Supervised pattern recognition in food analysis. (2007, methodology): “Supervised pattern recognition procedures use a common trategy whichever the algorithm applied, that consists of the ollowing steps [1,3]:”
Statistical strategies for avoiding false discoveries in metabolomics and related experiments (2007, methodology): “Another popular validation method is n-fold crossvalidation (Martens and Naes, 1989; Eriksson et al., 2001; Brereton, 2003), where the dataset is randomly spilit into n mutually exclusive subsets (the folds) of approximately equal size (the special case where n = the number of samples is known as…”
Simultaneous optimization of the microextraction of coffee volatiles using response surface methodology and principal component analysis (2010, positive): “Finding the optimum experimental conditions is more efficient and precise when multivariate statistical techniques are employed since all variables (factors) are simultaneously considered, accompanied with significant experimental savings [55–57].”
Experimental design and multiple response optimization. Using the desirability function in analytical methods development. (2014, background): “In this context, the multivariate design of experiments (DOE) is an important issue because it takes less time, effort and resources than the univariate procedures (which are surprisingly still being used in routine method development), and facilitates the gathering of large quantities of informatio”
A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies. (2007, neutral): “[14] R.”
Standard methods for Apis mellifera propolis research (2016, methodology): “There are a number of multivariate techniques that can be used in the analysis of NMR spectra (Brereton, 2013): (1) Principal Component Analysis (PCA): PCA is an unsupervised technique and allows one to express a large portion of the data’s total variance with a smaller number of variables which…”