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GC-MS validation of DMMP in OPCW testing

                3.1. Linearity, LOD and LOQ                         tabulated in Table 2 with the percentage of RSD below
                The calibration  curve  was obtained  by injecting  a   5% indicating a good analytical method.
                standard DMMP in concentrations  of 1  ppm, 5  ppm,    The  precision  of this method,  demonstrated  by an
                10  ppm, 15  ppm, 20  ppm, and 25  ppm.  The slopes   RSD of <10%, is a key factor in assessing its reliability
                and intercept  of this equation  were 179400.45 and   for repeated  applications,  such as PT. Dubey  et al.
                                                                                                                    14
                −66927.88.  The  correlation  coefficients  (R ) for this   reported  RSD values  in  the range  of 8 – 10% for
                                                       2
                equation were 0.9998 indicating a strong and excellent   nerve agent detection. In contrast, this study achieved
                linear relationship. The LOD for this method validation   an  RSD  of  <5%,  highlighting  the  method’s excellent
                was 0.0167 ppm while the LOQ was 0.0557 ppm.        reproducibility and robustness, particularly for use with
                  The sensitivity of this method with a LOD of      complex samples containing high matrix interference.
                0.0167  ppm  aligns  with  the  past  studies  for  CWAS   Among  the  important  findings  in  the  present  study
                detection where Sassolini  et al.  used LLE with    is applying the QuEChERS extraction method, which
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                GC-MS and obtained an LOD of 0.05  ppm for          conventionally is applied for pesticide residue analysis.
                organophosphorus compounds. Similarly, Konopski     Although QuEChERS has seldom been applied in the
                et al.  determined that the LOD for nerve agents in a   context of CWAs detection, the results of this study have
                    6
                method validation study was 0.02 ppm. In this regard,   proved better performance, exceeding the conventional
                the approach presented herein performs better in terms   approaches to extraction such as LLE and SPE, which
                of detection, indicating the benefits of QuEChERS as   have  been  considered  the  gold  standard  in  CWAs
                an extraction method. The reduced LOD value not only   analysis. The simplicity and efficiency of QuEChERS
                improved the limits of detection for CWAS simulants,   are the main advantages of this technique with few steps,
                such as DMMP, but it also increased the method’s    less solvent used than LLE, and shorter processing times
                applicability in real-world environmental samples for   than  SPE. Anastassiades  et  al.   originally  developed
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                trace-level CWAS detection.                         the QuEChERS method for pesticide analysis, but its
                  In this study, the linearity (R² = 0.9998) is consistent   adaptation for the detection of DMMP suggests it could
                with  previously  proven  methodologies  in  this  field.   potentially  be  applied  to  other  CWAS.  The  study  by
                Dubey et al.  used GC-MS to detect CWAs and found an   Antonijevic et al.,  which used a traditional conventional
                          14
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                R² value of 0.9997 for nerve agents, indicating that the   method, such as LLE, found high solvent consumption
                study’s results matched recognized methodologies. This   and longer extraction times.  This, in contrast, can be
                near-perfect linearity provides consistent quantification   avoided by using the QuEChERS approach. Moreover,
                of DMMP across a wide concentration range, which is   the recovery rates for this study (95.7 – 97.3%) are
                critical in PT.                                     higher compared to earlier studies. Pragney and Saradhi
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                                                                    successfully reported a recovery rate of 88 – 92% for
                3.2. Accuracy and precision                         organophosphorus agents with the SPE technique.
                The accuracy and precision of the method were assessed
                based on recovery and repeatability, which are crucial   3.3. Specificity
                indicators  of  the  method’s reliability  in  determining   The  specificity  of  the  method  was  evaluated  by
                DMMP.  The results are summarized  in  Table  1. The   preparing  a  solution  containing  10  ppm  of DMMP,
                recovery  rates  ranged  from  95.7% to  97.3%, and the   10  ppm of C -C  saturated alkanes, and 10  ppm of
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                                                                                 7
                %RSD was <10%, demonstrating  that  the  method     FAME diesel. This solution was prepared in triplicate
                meets the required criteria for accuracy and precision.   to ensure reproducibility and precision. The analytical
                The repeatability  and reproducibility  were performed   results indicated that  the methodology  achieved  a
                with spiking concentrations of 5 and 15 ppm of DMMP   DMMP extraction accuracy of 96.2%, reflecting its high
                within  a  day  and  on  different  days. The  results  were   level of analytical performance and reliability.

                 Table 1. Accuracy of the proposed method

                 Analyte     Spiked concentration (ppm)    Detected concentration (ppm)   Recovery (%)      RSD (%)
                 DMMP                    1                            0.957                    95.7            6.2
                                        10                            9.73                     97.3            3.4
                                        25                           24.175                    96.7            4.1
                 Abbreviation: RSD: Relative standard deviation.



                Volume 22 Issue 2 (2025)                        47                                 doi: 10.36922/ajwep.8196
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