Study of Chemical Intermediates by Means of ATR-IR Spectroscopy and Hybrid Hard- and Soft-Modelling Multivariate Curve Resolution-Alternating Least Squares
Abstract:3,5-Diamino-1,2,4-triazole (DAT) became a significant energetic materials intermediate, and the study of its reaction mechanism has fundamental significance in chemistry. The aim of this study is to investigate the ability of online attenuated total reflection infrared (ATR-IR) spectroscopy combined with the novel approach of hybrid hard- and soft-modelling multivariate curve resolution-alternating least squares (HS-MCR) analysis to monitor and detect changes in structural properties of compound during 3,5-dia… Show more
“…In general, the metabolites or their spectral signatures are not known a priori and have to be extracted by deconvolution of NMR spectra and using the spectra of those metabolities known to be present in normal samples. In online reaction monitoring using spectrophotometers, we may have to deal with short-lived (unstable) intermediates whose spectra cannot be obtained through direct measurement. For monitoring such reactions, the spectra of unstable intermediates can be obtained only through deconvolution of reaction mixture spectra …”
Section: Introductionmentioning
confidence: 99%
“…In online reaction monitoring using spectrophotometers, we may have to deal with short-lived (unstable) intermediates whose spectra cannot be obtained through direct measurement. For monitoring such reactions, the spectra of unstable intermediates can be obtained only through deconvolution of reaction mixture spectra …”
Section: Introductionmentioning
confidence: 99%
“…For monitoring such reactions, the spectra of unstable intermediates can be obtained only through deconvolution of reaction mixture spectra. 19 In addition, concentrations of some or all of the species in a mixture may be available through other analytical techniques. Such additional information in SMCR methods can be used to enhance not only the accuracy of pure species spectra extraction but also to guarantee unique solutions.…”
Extraction of pure species spectra from mixture spectra is important in characterizing unknown mixtures as well as in the monitoring of chemical reactions. In many designed experimental studies, the mixture concentrations are completely known and partial knowledge of the spectra of some of species in a mixture may also be available. In this study, we extend the methods of ordinary least squares (OLS), principal component regression (PCR), and non-negative matrix factorization (NMF) to incorporate such additional information. The performances of the three proposed methods are evaluated using simulated and experimental data. Among these, the proposed constrained NMF (cNMF) method is shown to be best-suited for obtaining feasible and accurate estimates of pure species spectra from mixture spectra.
“…In general, the metabolites or their spectral signatures are not known a priori and have to be extracted by deconvolution of NMR spectra and using the spectra of those metabolities known to be present in normal samples. In online reaction monitoring using spectrophotometers, we may have to deal with short-lived (unstable) intermediates whose spectra cannot be obtained through direct measurement. For monitoring such reactions, the spectra of unstable intermediates can be obtained only through deconvolution of reaction mixture spectra …”
Section: Introductionmentioning
confidence: 99%
“…In online reaction monitoring using spectrophotometers, we may have to deal with short-lived (unstable) intermediates whose spectra cannot be obtained through direct measurement. For monitoring such reactions, the spectra of unstable intermediates can be obtained only through deconvolution of reaction mixture spectra …”
Section: Introductionmentioning
confidence: 99%
“…For monitoring such reactions, the spectra of unstable intermediates can be obtained only through deconvolution of reaction mixture spectra. 19 In addition, concentrations of some or all of the species in a mixture may be available through other analytical techniques. Such additional information in SMCR methods can be used to enhance not only the accuracy of pure species spectra extraction but also to guarantee unique solutions.…”
Extraction of pure species spectra from mixture spectra is important in characterizing unknown mixtures as well as in the monitoring of chemical reactions. In many designed experimental studies, the mixture concentrations are completely known and partial knowledge of the spectra of some of species in a mixture may also be available. In this study, we extend the methods of ordinary least squares (OLS), principal component regression (PCR), and non-negative matrix factorization (NMF) to incorporate such additional information. The performances of the three proposed methods are evaluated using simulated and experimental data. Among these, the proposed constrained NMF (cNMF) method is shown to be best-suited for obtaining feasible and accurate estimates of pure species spectra from mixture spectra.
A chemometrics-based approach for process optimisation of a chemical reaction in an automated microreactor flow setup and performing kinetic investigations.
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