Three-Way Modelling of a Batch Organic Synthesis Process Monitored by near Infrared Spectroscopy

Multivariate monitoring by near infrared (NIR) spectroscopy of an organic synthesis as a batch process gives three-way data of the type batch number × NIR wavelength × time. The data can be analysed by three-way decomposition methods such as parallel factor analysis (PARAFAC). The batch process is the synthesis of an ester carried out by students in the laboratory. The synthesis is monitored by fibre-optic probe NIR measurement every ten minutes. The NIR spectra obtained have no distinct peaks and simply doing curve resolution on them is very difficult, but it is shown that pretreatment of the NIR spectra can lead to a good PARAFAC model and a chemical interpretation of the unique loadings obtained. The interpretation of the spectral loadings is carried out by comparison with pure chemical spectra. The data set is available from the authors.

[1]  Theodora Kourti,et al.  Process analysis, monitoring and diagnosis, using multivariate projection methods , 1995 .

[2]  Paul Geladi,et al.  From experimental design to images to particle size histograms to multiway analysis. An example of peat dewatering , 2000 .

[3]  P. Minkkinen,et al.  Monitoring the kinetics of the ion-exchange resin catalysed esterification of acetic acid with ethanol using near infrared spectroscopy with partial least squares (PLS) model , 1998 .

[4]  R. Bro PARAFAC. Tutorial and applications , 1997 .

[5]  B. Kowalski,et al.  Review of Chemometrics Applied to Spectroscopy: 1985-95, Part 3 - Multi-way Analysis , 1997 .

[6]  A. Smilde,et al.  Estimating rate constants and pure UV‐vis spectra of a two‐step reaction using trilinear models , 1999 .

[7]  T. C. O'Haver,et al.  Numerical error analysis of derivative spectrometry for the quantitative analysis of mixtures , 1976 .

[8]  E. Davidson,et al.  Application of the method of rank annihilation to quantitative analyses of multicomponent fluorescence data from the video fluorometer , 1978 .

[9]  Bruce R. Kowalski,et al.  Generalized rank annihilation method : II. Analysis of bimodal chromatographic data , 1987 .

[10]  Paul Geladi,et al.  Analysis of multi-way (multi-mode) data , 1989 .

[11]  Michael J. Piovoso,et al.  Translating third-order data analysis methods to chemical batch processes , 1999 .

[12]  A. Savitzky,et al.  Smoothing and Differentiation of Data by Simplified Least Squares Procedures. , 1964 .

[13]  Desire L. Massart,et al.  Comparison of multivariate methods based on latent vectors and methods based on wavelength selection for the analysis of near-infrared spectroscopic data , 1995 .

[14]  Svante Wold,et al.  Modelling and diagnostics of batch processes and analogous kinetic experiments , 1998 .

[15]  Age K. Smilde,et al.  Monitoring and diagnosing batch processes with multiway covariates regression models , 1999 .

[16]  John F. MacGregor,et al.  Multi-way partial least squares in monitoring batch processes , 1995 .

[17]  Bruce R. Kowalski,et al.  Generalized rank annihilation method , 1987 .

[18]  Paul J. Gemperline,et al.  Vision®, Version 2·21, available from Foss NIRSystems, Inc., 12101 Tech Road, Silver Spring, MD 20904, USA , 2000 .

[19]  L. Nørgaard A multivariate chemometric approach to fluorescence spectroscopy. , 1995, Talanta: The International Journal of Pure and Applied Analytical Chemistry.

[20]  A. Agresti,et al.  Multiway Data Analysis , 1989 .

[21]  Sue Leurgans,et al.  [27] Component resolution using multilinear models , 1995 .

[22]  J. Macgregor,et al.  Monitoring batch processes using multiway principal component analysis , 1994 .

[23]  Erik Johansson,et al.  Multivariate process and quality monitoring applied to an electrolysis process. : Part II - Multivariate time-series analysis of lagged latent variables , 1998 .

[24]  Gary D. Christian,et al.  Application of the method of rank annihilation to fluorescent multicomponent mixtures of polynuclear aromatic hydrocarbons , 1980 .

[25]  Michael Greenacre,et al.  Multiway data analysis , 1992 .

[26]  P. Geladi,et al.  Linearization and Scatter-Correction for Near-Infrared Reflectance Spectra of Meat , 1985 .