Use of partial least squares regression for the multivariate calibration of hazardous air pollutants in open-path FT-IR spectrometry

Details Use of partial least squares regression for the multivariate calibration of hazardous air pollutants in open-path FT-IR spectrometry Use of partial least squares regression for the multivariate calibration of hazardous air pollutants in open-path FT-IR spectrometry

Jun 1998

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1998aipc..430..241h&link_type=abstract

The eleventh international conference on fourier transform spectroscopy. AIP Conference Proceedings, Volume 430, pp. 241-244 (1

Physics

1

Effects Of Air Pollution, Effects Of Clouds And Water, Ice Crystal Phenomena

Scientific paper

Partial least squares (PLS) regression has been evaluated as a robust calibration technique for over 100 hazardous air pollutants (HAPs) measured by open path Fourier transform infrared (OP/FT-IR) spectrometry. PLS has the advantage over the current recommended calibration method of classical least squares (CLS), in that it can look at the whole useable spectrum (700-1300 cm-1, 2000-2150 cm-1, and 2400-3000 cm-1), and detect several analytes simultaneously. Up to one hundred HAPs synthetically added to OP/FT-IR backgrounds have been simultaneously calibrated and detected using PLS. PLS also has the advantage in requiring less preprocessing of spectra than that which is required in CLS calibration schemes, allowing PLS to provide user independent real-time analysis of OP/FT-IR spectra.

Affiliated with

Also associated with

No associations

Rating

Use of partial least squares regression for the multivariate calibration of hazardous air pollutants in open-path FT-IR spectrometry does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Use of partial least squares regression for the multivariate calibration of hazardous air pollutants in open-path FT-IR spectrometry, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Use of partial least squares regression for the multivariate calibration of hazardous air pollutants in open-path FT-IR spectrometry will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1330426