Analytical Methods for Environmental Contaminants of Emerging Concern. Группа авторов

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Analytical Methods for Environmental Contaminants of Emerging Concern - Группа авторов

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(HILIC) has been proposed as a promising tool for highly polar pesticides in fresh water [72] whereas a mixed-mode stationary phase is an interesting alternative [108], allowing the separation of a wide range of compounds such as polar, medium and non-polar ones. Thus, a mixed column such as XDB-C18 was used to determine 30 pesticides (herbicides, fungicides and insecticides), using as mobile phase acetonitrile and water 0.1% formic acid [93], or an EC-C18 column, using mobile phases that consisted of methanol 0.1% formic acid and 2 mm ammonium acetate, and water 0.1% formic acid and 2 mm ammonium acetate, allowing the determination of 218 pesticides [99].

      As can be observed in Tables 1.11.4, different multiresidue and multiclass methods based on LC-MS have been reported in recent years. Robust and reliable analytical methods have been developed, allowing for the monitoring of ca. 500 pesticides in surface and groundwaters [23], 215 pesticides and TPs in groundwater [25], as well as 251 emerging contaminants in surface water [75].

      In the last years, chiral columns were also employed to determine enantiomers of pesticides [65], using different specific stationary phases, such as Chiralcel OD-RH column and a mobile phase consisting of acetonitrile and water 0.1% formic acid, or a Chiralcel OD-3 [97], that allows the determination of pydiflumetofen enantiomers in soil samples.

      Different classical detectors have been applied for the determination of target pesticides in environmental samples, such as flame ionization detector (FID) [68] and electron capture detector (ECD) [45, 63, 86] in combination with GC. Likewise, LC coupled to a UV-Vis detector was used for the analysis of organophosphorus pesticides in soils samples [113], or to a fluorescence detector, which was utilized to monitor pesticides and metabolites in soils [114]. However, in the last two decades, MS has become the main detection system in environmental monitoring, as can be observed in Tables 1.11.4. Most of the methodologies involving GC make use of electron ionization (EI) [99], while electrospray (ESI) or heated ESI (HESI) in positive and/or negative ionization modes are mainly used in the case of LC. As can be seen from Tables 1.11.4, triple quadrupole (QqQ) analyzer is the most widely used in combination with both GC and LC.

      Other types of MS analyzers coupled to LC have also been used. The single quadrupole MS was employed by Belmonte Vega et al. [107] to determine pesticides in environmental matrices, or the triple quadrupole-linear ion trap mass spectrometer (QTRAP), which was used to detect herbicides, insecticides and fungicides [93], achieving LOQ of 1–10 µg kg−1.

      However, other types of analyzers coupled to LC have been employed. In GC, ion trap mass spectrometer detector was employed to detect endosulfan, chlorpyrifos and their metabolites in soil matrices [29] and isotope ratio mass spectrometer (IRMS) was used to determine OCPs and metabolites [115]. Additionally, the double-focusing magnetic sector high-resolution mass spectrometer is extremely sensitive when multiple ion detection (MID) is used as the acquisition mode. It has been utilized in combination with SPME and GC for the fully automated determination of priority substances at ultra-trace levels, including pesticides, in surface water [84], as well as more complex matrices such as treated and non-treated wastewaters [85].

      Although QqQ was still used to monitor the presence of pesticides in environmental samples, when a large number of compounds should be monitored, the sensitivity of these analyzers decreased by the simultaneous monitoring of a huge number of transitions. Therefore, HRMS analyzers are also used in this field, because the number of compounds to be simultaneously analyzed is theoretically unlimited and other strategies can be applied [56]. Additionally, good chromatographic peaks and resolution are still important. The use of HRMS allows that customized database can be built, including CUPs, TPs, banished pesticides and other pollutants, increasing the scope of the analysis.

      HRMS enables the analysis of target, post-target (or suspected) and non-target analytes. The high sensitivity of certain HRMS analyzers, when operating in full scan mode, combined with high resolving power (>30 000 full width at half maximum, FWHM) and accurate mass measurement (1–5 ppm), allows for retrospective analysis.

      While most of the HRMS applications have been aimed at targeted pesticide analysis, there are already some studies aimed at the identification of non-target analytes including new contaminants such as metabolites or TPS for a more exhaustive monitoring of water quality.

      Some examples of the successful application of HRMS analyzers, specifically Q-Time of Flight (TOF) systems, in combination with LC, in target screenings allowed for the monitoring of 474 emerging contaminants, including 296 pesticides, in coastal waters [70] and ca. 500 pesticides and TPs in surface and groundwater [23]. Likewise, and as shown in Table 1.1, the potential of Orbitrap analyzers has also been employed in methods involving emerging contaminants belonging to different families and classes.

      Moreover, HRMS is a powerful tool for the identification of unknown TPs and metabolites. In fact, novel TPs resulting from the chlorination of clothianidin, imidacloprid, desnitro-imidacloprid, imidacloprid-urea and hydrolysis products of thiamethoxam were identified in drinking water by using a HPLC-TOF MS system [18].

      The use of the analytical methods described in previous sections provides sensitive and reliable methods that allow for low LOQs and suitable recoveries, as it can be observed in Tables 1.11.4. Thus, despite the lower EQS set by EU legislation for some pesticides, lower LOQs can be achieved and, for instance, concentrations down to 0.0001 µg l−1 can be quantified (see Table

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