Page 136 - Inorganic Mass Spectrometry - Fundamentals and Applications
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126                                                         Olesik

             lernental Analysis of  Eliological Fluids

                              to
            ICP-MS  has  been  used measure  a  variety of elements in urine,  serum,  and  blood
            [230]. The main  problems are sample-dependent  changes  in  sensitivity  and  spec-
            tral  overlaps  due  to  polyatomic  ions.  Elements  with  masses  below  about 85 are
            particularly  prone to spectral  overlaps.
                 Nuttall et al. [23 l] reported  the  use of ICP-MS for routine dete~nation of
                 i, Cd,  Pb, Sb, Te,  and  TI  in  a  clinical  laboratory.  Blood  was  deproteinized,
            centrifuged,  and  passed  through  a 2-pm filter  before  analysis.  Other  specimens
            were  diluted  or  digested  with dilute mineral  acids. Se, Zn,  and As suffered from
            interferences  that  could  be  overcome proper isotope selection  or  mathematical
                                          by
            correction. The authors  [231]  concluded  that  Cr  and  Fe  were  too  prone  to  inter-
            ferences  (due  to  spectral overlaps) to be practically  measured  by  ICP-MS  in
            clinical  samples.
                 Nixon  and  Moyer C2321 described  the  use of ICP-MS for routine screening
            measurement of Pb, As, Cd,  and  TI  in  urine  and  blood. As, Cd,  and T1 are  cleared
            rapidly  from  the  blood,  so that  if  significant  concentrations  are  found  in  the  blood,
            acute  exposure is indicated  and  immediate  action is necessary.  Pb is more  slowly
            cleared  from  the  blood.  Significant  concentrations  found urine indicate chronic
                                                         in
            exposure or  a  delay  in  treatment  since  exposure.  Compared  to graphite  furnace
            atomic  absorption  analysis,  ICP-MS  provides  better  sensitivities  and  more  r
            sample  throughput.  However, two problems  must be overcome for the ICP
            analysis to be  successful: The spectral overlap of  40Ar35C1+ at mass 75, the  mass
            of the only As isotope, must be corrected.  Sample-induced  changes in sensitivity,
            due  to the high  concentration of dissolved solids in  urine  and  blood,  must  be  cor-
            rected.  An  empirically  determined relationship between 16035Cl+ and 40Ar35C1+
            was  used  to subtract  the  contribution of  40Ar35C1+  at mass 75. Several internal
            standard elements were  tested to compensate for the changes in sensitivity.  Ga  was
            the best internal standard for As, Rh was  best for Cd,  and  Bi  was  best for TI and
            Pb, Table  3.6  shows the certified  and  measured  concentrations  using the different
            internal  standards.
                 The  analysis  of  Cr  and V  in  biological  fluids  is difficult  because of
            4OAr'2Cl+ overlapping  with 52Cr+, the  most  abundant  isotope of Cr,  and  35C1160+
            overlapping  with  the S1V+, the predo~nant isotope of  vanadium.  Recently,  a
            procedure  using  high-pressure  thermal  and  moderate-pressure  microwave  diges-
            tion  with  vapor-phase  acid  digestion  was  reported   to reduce  the carbon-  and
            chloride containing  molecular  overlaps  [233]. The vapor  phase  acid  digestion  with
            microsample  quartz  vessels  reduced the blank  signals.  However,  blank  levels still
            limited the method  to  Cr  concentrations  greater  than  2.8  ng/g  in  biofluids.  Moens
            et al.  [234]  measured  Fe, Cu, V,  and  Zn  using  high-resolution  ICP-MS  to pre-
                                                                           of
             vent  many of the comon molecular  ion  spectral  overlaps.  Drying  and  ashing
            the  sample  before  dissolution  and  analysis  can  also   help to  reduce  spectral
             overlaps  [235].
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