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in seawater samples as well as standard samples suggests that the fluorescence of
tryptophan is approximately four times higher than that of tyrosine (Yamashita and
Tanoue 2003a ; Mostofa KMG and Sakugawa LH, unpublished data). The molec-
ular formula of tyrosine is C 9 H 11 NO 3 and its molecular weight is 181.19. The
different chemical structure of tyrosine compared to tryptophan (Fig. 3 t) could
account for its much lower fluorescence intensity (Yamashita and Tanoue 2003a ;
Mostofa KMG et al., unpublished data).
Phenylalanine shows two fluorescence peaks at Ex/Em = 255-265/284-
286 nm (peak T-region) and at Ex/Em = ~ 220/284-286 nm (peak T UV T-region) in
marine waters and in standards dissolved in Milli-Q or seawater (Fig. 3 u; Tables 1 ,
2 ). The phenylalanine-like component has been identified at Ex/Em = 260/286 nm
for a phenylalanine standard dissolved in Milli-Q water, and at 260/284 nm for a
phenylalanine standard dissolved in sea water; at 255-265/284-285 nm in marine
waters; and at 265/306 nm in ice samples from the Antarctic and Arctic Ocean
(Yamashita and Tanoue 2003a ; Nakajima 2006 ; Dubnick et al. 2010 ). The molec-
ular formula of phenylalanine is C 9 H 11 NO 2 and its molecular weight is 165.19.
The absence of the OH group in the benzene ring of phenylalanine (Fig. 3 v) can
account for the reduced fluorescence intensity when compared to tyrosine, and for
the presence of fluorescence excitation-emission maxima at shorter wavelength
regions than for tyrosine or tryptophan.
(u)
(v)
400
365
330
Peak T
295
260
235
Peak T UV
250 300 350 400 450 500
Em wavelength (nm)
450
450
400
400
Peak A
Peak W
350
350
(w)
(x)
300
300
250
300
350
250
300
350
The molecular structure of tyrosine ( t ). u , v The fluorescent EEM spectra of standard phenylalanine
amino acid ( u ) dissolved in Milli-Q waters ( Data source Nakajima 2006 ). The molecular structure of
phenylalanine ( v ). The fluorescent components of standard DSBP ( w ) in its aqueous samples and in
downstream waters ( x Kurose River, Japan) identified using PARAFAC modeling on their respective
EEM data ( Data source Mostofa and Sakugawa 2009 ).
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