Spectral fingerprinting and classification by location of origin of natural waters by multidimensional fluorescence

Kerin E. Clow; Gregory J. Hall; Hao Chen; Jonathan E. Kenny

doi:10.1117/12.571427

7 December 2004 Spectral fingerprinting and classification by location of origin of natural waters by multidimensional fluorescence

Kerin E. Clow, Gregory J. Hall, Hao Chen, Jonathan E. Kenny

Author Affiliations +

Proceedings Volume 5586, Advanced Environmental, Chemical, and Biological Sensing Technologies II; (2004) https://doi.org/10.1117/12.571427
Event: Optics East, 2004, Philadelphia, Pennsylvania, United States

Abstract

Multidimensional fluorescence is employed as an analytical tool for analyzing natural waters. Excitation-Emission Matrices (EEMs) are shown to contain spectral profiles of natural fluorophores as well as polyaromatic pollutants. A database of date-ordered EEMs was established to investigate fluorescence properties of several rivers and estuarial sites in the Boston area. Multiway Partial Least Squares Discriminant Analysis (NPLS-DA) regression models were constructed with calibration data from each sample site for classification of future test data to geographic origin. Parallel factor (PARAFAC) analysis resolved the pure component spectra for longitudinal and seasonal characterization studies. Time Resolved Excitation Emission Matrix (TREEM) spectroscopy exhibits extraction of further spectral information with the addition of a fluorescence decay time dimension. Location characterization of port waters by fluorescence fingerprinting is demonstrated. This spectroscopic technique shows promise as a regulatory tool for fingerprinting ships' ballast water to determine its harbor of origin. A deployable instrument for in situ analysis is proposed.

Citation Download Citation

Kerin E. Clow, Gregory J. Hall, Hao Chen, and Jonathan E. Kenny "Spectral fingerprinting and classification by location of origin of natural waters by multidimensional fluorescence", Proc. SPIE 5586, Advanced Environmental, Chemical, and Biological Sensing Technologies II, (7 December 2004); https://doi.org/10.1117/12.571427

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available