Page 211 - Materials Chemistry, Second Edition
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192                         Life Cycle Assessment of Wastewater Treatment


              PNEC water  is calculated from the available toxicity data, applying assessment
            factors depending on the availability of long-term no observed effect concentration
            (NOEC) values for species from three, two, or just one trophic level (assessment fac-
            tors of 10, 50, and 100, respectively) or at least one short-term L(E)C  from each of
                                                                   50
            three trophic levels (fish, Daphnia, and algae) (assessment factor of 1000) (EC-TGD,
            2003).
              In Table 9.4, PEC, PNEC, and RQ values for the pharmaceutical compounds are
            shown. PEC values were calculated from the highest concentrations measured in
            anaerobically digested sludge from four WWTPs and in compost samples from a
            composting plant where the digested sludge from the above-mentioned WWTP is
            composted. Nine digested sludge samples were sampled from each WWTP and from
            the composting plant. PNEC  values were calculated from short-term L(E)C  data
                                  soil
                                                                          50
            available in literature (Martín et al., 2012b), applying an assessment factor of 1000.
            RQ values were higher than 1 for ibuprofen, 17α-ethinylestradiol, and 17β-estradiol.
            Nevertheless, after sludge application to soils, RQ values were lower than 1, except
            for 17β-estradiol in digested sludge–amended soils; therefore, no significant ecotoxi-
            cological risk is expected to occur. The RQ for 17β-estradiol is still slightly higher
           than 1 (RQ: 1.08) in digested sludge–amended soils, but this value corresponds to
           the worst-case scenario. It was calculated from the highest concentration measured
           in the digested sludge samples analyzed.


           9.4  CONCLUSIONS AND FUTURE TRENDS
           Several multiresidue methods have been reported for the determination of a wide
           group of pharmaceuticals belonging to different therapeutic groups and with differ-
           ent physico-chemical properties. Reported multiresidue methods allow the determi-
           nation of up to 148 pharmaceuticals (Gago-Ferrero et al., 2015) by UAE and LC-MS/
           MS or 119 pharmaceuticals (Peysson et al., 2013) by QuEChERS and LC-TOF-MS
           determination. The most widely reported techniques for sample extraction are UAE,
           PLE, and MAE, and afterward, clean-up by SPE using Oasis HLB cartridges is
           commonly applied. Recently, QuEChERS (Bourdat-Deschamps et al., 2014; Peysson
           et al., 2013) and MSPD (Li et al, 2016; Triñanes et al., 2016) have been applied to
           the determination of pharmaceuticals in sewage sludge. In both methods, extrac-
           tion and clean-up are carried out simultaneously, reducing analysis time. Analytical
           determination is carried out by LC-MS/MS and to a lower extent, by GC-MS/MS
           and HPLC-DAD-(Fl).
              Future investigations should focus on the occurrence of metabolites, the stere-
           oselective degradation of chiral pharmaceuticals, and pharmaceuticals with a high
           sorption potential in treated sludge. More investigation is needed about the fate of
           pharmaceuticals in different types of sludge and in sludge-amended soils. The main
           drawbacks of the most commonly extraction techniques reported (UAE, PLE, and
           MAE) are the need for a further clean-up step to remove interfering compounds and
           the use of high-cost equipment (PLE and MAE). QuEChERS and MSPD are prom-
           ising low-cost extraction techniques requiring low solvent volumes, which have been
           reported for multiresidue extraction of up to 136 pharmaceuticals and hormonal ste-
           roids (Peysson et al., 2013) and 45 pharmaceuticals (Li et al., 2016), respectively. The
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