Environmental Engineering Reference
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et al. 2004 ; Yamashita and Tanoue 2004 , 2008 ; Wada et al. 2007 ; Hanamachi et al.
2008 ; Ortega-Retuerta et al. 2009 ; Aoki et al. 2008 ; Biddanda and Benner 1997 ;
Hulatt et al. 2009 ; Bertilsson and Jones 2003 ; Chen and Gardner 2004 ; Stedmon
and Markager 2005a ; Stedmon et al. 2007a , b ; Wetz and Wheeler 2007 ; Zhao et al.
2009 ).
Re-suspension of algae or phytoplankton in ultrapure water (Milli-Q), arti-
ficial sea water and natural waters can release new organic compounds, either
under irradiation or under dark incubation. These organic substances, produced
either under irradiation (Fig. 1 a) or in the dark (Fig. 1 b, c) show fluorescence
(excitation-emission matrix, EEM) properties. The EEM spectra of autochtho-
nous DOM (Fig. 1 a, b) are roughly similar to those of allochthonous fulvic acid
and show two fluorescence peaks at peak C- and A-regions (Fig. 1 d). In contrast,
they are different from allochthonous humic acids that show more than two peaks
at peak C-region (Fig. 1 f). Based on the similarities of the EEM spectra, the key
component of autochthonous fluorescent DOM is defined as “autochthonous ful-
vic acid (C-like)” of algal or phytoplankton origin. The other component (Fig. 1 c)
is defined as “autochthonous fulvic acid (M-like)” of algal or phytoplankton ori-
gin, based on the similarities with the marine humic-like component (Coble 1996 ,
2007 ). Identification of autochthonous DOM of algal or phytoplankton origin is
(a)
(b)
(c)
Peak A
Peak C
Peak C
Peak A
Peak M
(d)
(e)
Peak C
Peak A
Peak C
Peak M
Peak A
Ex wavelength (nm)
Fig. 1 Comparison of the fluorescent components of autochthonous fulvic acid (C-like) pro-
duced under microbial respiration of lake algae ( a ), autochthonous fulvic acid (C-like) under
photorespiration or assimilation of algal biomass ( b ) and autochthonous fulvic acid (M-like)
under microbial respiration of algae ( c ) with aqueous samples of standard Suwannee River Ful-
vic Acid ( d ) and Suwannee River Humic Acid ( e ) identified using PARAFAC modeling on the
EEM spectra of their respective samples. Data source Mostofa KMG et al., (unpublished data)
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