Skip to main content

Density Mapping in Poly(ethylene terephthalate) Using a Fiber-Coupled Raman Microprobe and Partial Least-Squares Calibration

Buy Article:

$29.00 plus tax (Refund Policy)


Partial least-squares (PLS) analysis has been used to calibrate Raman microprobe spectra of poly(ethylene terephthalate) films in terms of density, in order to give insight into changes in crystallinity through the film thickness. The microprobe utilizes a static multiplexed holographic grating to obtain the entire Raman spectrum (~1600-4000 cm-1) in a "single - shot" at ~ 5-cm-1 resolution. Because there are no moving parts, frequency registration and repeatability are excellent and ideally suited for multivariate calibration. In addition, the high spectral throughput allows the whole spectrum to be collected in a few seconds with high signal-to-noise ratio. With this equipment, cross-validated calibration precisions as low as ~0.0021 g cm-3 were achieved.

In this work we considered two ways of removing fluorescence backgrounds prior to carrying out multivariate calibration. The first involved manually fitting a baseline using a polynomial curve and subtracting it. The second approach simply takes the second derivative of the spectrum to attenuate the low-frequency components (i.e., the curved baseline). It was found that either pretreatment gave good calibration precision provided that the resultant spectra were intensity-normalized to correct for variations in laser power, sample alignment, and so on. Surprisingly, it was found that the best precision was obtained by grouping the spectral resolution elements into blocks of eight data points, thereby improving the signal-to-noise but effectively degrading the spectral resolution by a factor of three. This was especially important for the derivative spectra. Alternatively, Savitsky-Golay smoothing of the second derivative data was applied to the same effect but also at the expense of degrading spectral resolution. The implication of this work is that instruments intended for multivariate calibration applications could perhaps be designed to work at rather lower spectral resolutions (but higher signal-to-noise) than might otherwise be considered.

Keywords: Chemometrics; Crystallinity; Microscope; PET; PLS; Partial least-squares; Poly(ethylene terephthalate); Polymer; Raman

Document Type: Research Article


Affiliations: 1: ICI plc, Wilton Research Centre, P.O. Box 90, Wilton, Middlesbrough, Cleveland TS90 8JE, England 2: Kaiser Optical Systems Inc., Ann Arbor, Michigan, U.S.A. 3: Kaiser Optical Systerns Inc., Ann Arbor, Michigan, U.S.A.

Publication date: March 1, 1996

More about this publication?

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more