2014
DOI: 10.1016/b978-0-444-63456-6.50101-0
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Statistical Control of Commercial Detergents Production through Fourier Transform Infra-Red Spectroscopy

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Cited by 2 publications
(2 citation statements)
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“…It was applied on Infrared data to identify the end-point of crystallization of organic compounds and monitor the polymorphic conversion [18], to track cooling crystallization [19] and for quality monitoring [20]. In this work, it was employed to process the IR spectra that have been collected from the crystallization experiments in order to investigate if further data analysis of the IR spectra collected could give an earlier indication of nucleation occurring and furthermore could help to distinguish the molecular clusters prior to the onset of nucleation.…”
Section: Multivariate Data Analysis For Ir Spectramentioning
confidence: 99%
“…It was applied on Infrared data to identify the end-point of crystallization of organic compounds and monitor the polymorphic conversion [18], to track cooling crystallization [19] and for quality monitoring [20]. In this work, it was employed to process the IR spectra that have been collected from the crystallization experiments in order to investigate if further data analysis of the IR spectra collected could give an earlier indication of nucleation occurring and furthermore could help to distinguish the molecular clusters prior to the onset of nucleation.…”
Section: Multivariate Data Analysis For Ir Spectramentioning
confidence: 99%
“…Sample spectrum and Reference spectrum) allows one to decide if the Sample formulation deviates from the Reference material. In recent years, adulterated cooking oils [7][8][9], detergents [10] and medicines [11,12] were successfully noted as compared to the genuine products using FTIR in combination with multivariate analysis (e.g. principal component analysis and partial least-squares) using commercial FTIR softwares.…”
Section: Introductionmentioning
confidence: 99%