2013
DOI: 10.4319/lom.2013.11.616
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Inner filter correction of dissolved organic matter fluorescence

Abstract: The fluorescence of dissolved organic matter (DOM) is suppressed by a phenomenon of self‐quenching known as the inner filter effect (IFE). Despite widespread use of fluorescence to characterize DOM in surface waters, the advantages and constraints of IFE correction are poorly defined. We assessed the effectiveness of a commonly used absorbance‐based approach (ABA), and a recently proposed controlled dilution approach (CDA) to correct for IFE. Linearity between corrected fluorescence and total absorbance (ATota… Show more

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Cited by 291 publications
(177 citation statements)
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“…A Milli-Q blank was subtracted from each sample to eliminate Raman scattering, sampling blanks were included to assess for leaching of DOM during the sampling procedure. We followed the procedure in Kothawala et al (2013) for inner filter correction. Briefly, Vis absorbance spectra (200-800 nm) were obtained in a Shimadzu UV-1700 spectrophotometer, using 1cm quartz cuvette.…”
Section: Laboratory Analysis and Dom Quality Indexesmentioning
confidence: 99%
“…A Milli-Q blank was subtracted from each sample to eliminate Raman scattering, sampling blanks were included to assess for leaching of DOM during the sampling procedure. We followed the procedure in Kothawala et al (2013) for inner filter correction. Briefly, Vis absorbance spectra (200-800 nm) were obtained in a Shimadzu UV-1700 spectrophotometer, using 1cm quartz cuvette.…”
Section: Laboratory Analysis and Dom Quality Indexesmentioning
confidence: 99%
“…Sample dilution is relatively easy to implement, but it adds a sample handling penalty (which is a source of error) that may not always be appropriate for the application. The mathematical correction approach (detailed below) is appropriate for some samples where the optical density is not too high, A < 1.5 [24]. The final option of essentially doing nothing (detailed below) and including IFE in the EEM/SFS analysis is also a valid option in applications where sample handling should be minimized.…”
Section: Inner Filter Effects (Ife)mentioning
confidence: 99%
“…Prior to PARAFAC analysis, fluorescence data was processed in R (3.3.1) using the eemR (0.1.3) package. Blank values were subtracted following the documentation provided in the eemR package removing Raman and Rayleigh scattering (Bahram et al, 2006;Lakowicz, 2006;Zepp et al, 2004) the data were then Raman normalized (Lawaetz and Stedmon, 2009) and lastly corrected for inner filter effect (Kothawala et al, 2013) before being exported to Matlab (2015b). In Matlab the fluorescence data was combined with a larger dataset (>1000 fluorescent samples originating from 120…”
Section: Parafac Modellingmentioning
confidence: 99%