Monitoring of the surface of paper samples exposed to UV light by ATR-FT-IR spectroscopy and use of multivariate control charts

Robotti, Elisa; Bobba, Marco; Panepinto, Andrea; Marengo, Emilio
July 2007
Analytical & Bioanalytical Chemistry;Jul2007, Vol. 388 Issue 5/6, p1249
Academic Journal
The effect of exposure of paper samples to UV light was monitored by use of ATR-FT-IR spectroscopy and multivariate statistical tools. Three types of paper were tested: common laser-printer paper, newsprint, and thermal fax paper. The samples were first characterised by ATR-FT-IR spectroscopy to determine natural experimental variability. They were then exposed to UV light for 30 h and the effects of the exposure were monitored by use of the same spectroscopic technique. Finally, multivariate statistical tools were applied to the final dataset, coupled with construction of multivariate control charts, to identify the effects of UV light on the sample surfaces.


Related Articles

  • Implementing Economic and Economic Statistical Designs for MEWMA Charts. Linderman, Kevin; Love, Thomas E. // Journal of Quality Technology;Oct2000, Vol. 32 Issue 4, p457 

    Provides an algorithm for evaluating the average run length values for the multivariate exponentially weighted moving average control chart. Program description; Program operation; Illustrative examples.

  • Performance of the extreme ultraviolet high resolution undulator beamline BW3 at Hasylab: First... Bjorneholm, O.; Federmann, F.; Larsson, C.; Hahn, U.; Rieck, A.; Kakar, S.; Moller, T.; Beutler, A.; Fossing, F. // Review of Scientific Instruments;Feb1995, Vol. 66 Issue 2, p1732 

    Reports on the performance of the extreme ultraviolet high resolution beamline BW3 at Hasylab in Hamburg, Germany. Description of the beamline; Triple undulator; Material used for the optical elements; Photoionization and photoemission measurements.

  • A transportable spectrometer for in situ and local measurements of iodine monoxide at mixing ratios in the 10-14 range. Méjean, Guillaume; Grilli, Roberto; Abd Alrahman, Chadi; Ventrillard, Irène; Kassi, Samir; Romanini, Daniele // Applied Physics Letters;6/18/2012, Vol. 100 Issue 25, p251110 

    We present a robust, compact, and transportable instrument that measures the iodine monoxide atmospheric radical at extremely low concentration, down to 40 ppqv (parts per quadrillion by volume, 1:1015). As nitrogen dioxide is strongly absorbed in the same spectral region it could be...

  • Multivariate Control Charts of MDF and OSB Vertical Density Profile Attributes. Young, Timothy M.; Winistorfer, Paul M.; Wang, Siqun // Forest Products Journal;May99, Vol. 49 Issue 5, p79 

    Focuses on a study which compared the multivariate control charting procedures for correlated vertical density profile (VDP) variables with the univariate control charts derived from the same VDP variables. Details on the primary tool of the statistical process control (SPC); Methodology;...

  • An Adaptive Multivariate Control Chart for Individual Observations with Adaptive EWMS Star Glyphs for Diagnosis. Tzong-Ru Tsai; Lio, Y. L.; Shing I Chang; Shih-Hsiung Chou; Yi-Ting Chen // International Journal of Intelligent Technologies & Applied Stat;2012, Vol. 5 Issue 1, p57 

    A time-weighted multivariate control chart for individual observations is introduced to monitor process variability changes in multiple quality characteristics in phase II applications. Because of adaptive adjustments, the proposed control chart is sensitive to total variation increase in a...

  • Monitoring Multivariate Process Variability for Individual Observations. Longcheen Huwang; Yeh, Arthur B.; Chien-Wei Wu // Journal of Quality Technology;Jul2007, Vol. 39 Issue 3, p258 

    Most of the existing control charts for monitoring multivariate process variability are based on subgroup sizes greater than one. In many practical applications, however, only individual observations are available and the usual control charts are not applicable in these cases. In this paper, two...

  • Multivariate Monitoring Using an MEWMA Control Chart with Unequal Sample Sizes. Keunpyo Kim; Reynolds Jr., Marion R. // Journal of Quality Technology;Oct2005, Vol. 37 Issue 4, p267 

    When multivariate control charts are used to monitor a process, it is usually assumed that the same sample size is used for each variable. In this paper, we investigate the MEWMA control chart for monitoring the process mean vector when the sample sizes are unequal. Unequal sample sizes may...

  • Principal Alarms in Multivariate Statistical Process Control. Gonz�lez, Isabel; S�nchez, Ismael // Journal of Quality Technology;Jan2008, Vol. 40 Issue 1, p19 

    This paper describes a methodology for the simulation of out-of-control situations using in-control data, for the purpose of identifying the potential alarms that could occur in a multivariate process. The method is based on finding the independent factors of the variability of the process and...

  • Causation-Based T� Decomposition for Multivariate Process Monitoring and Diagnosis. Jing Li; Jionghua Jin; Jianjun Shi // Journal of Quality Technology;Jan2008, Vol. 40 Issue 1, p46 

    Multivariate process monitoring and diagnosis is an important and challenging issue. The widely adopted Hotelling T� control chart can effectively detect a change in a system but is not capable of diagnosing the root causes of the change. The MTY approach makes efforts to improve the...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics