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Ensuring selectivity and sensitivity by timed- and ultra-selective reaction monitoring during gas chromatography-tandem mass spectrometric determination of pesticides

机译:通过气相色谱-串联质谱法测定农药中的定时和超选择性反应监测来确保选择性和灵敏度

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In multiresidue analysis, as the complexity of matrix increases, matrix co-extractives might co-elute and interfere with the detection of target analytes, and thereby result in false positives and erroneous quantifications. This paper aims to evaluate the combination of enhanced mass resolution and concurrent selectivity and sensitivity in analyzing a complex mixture of 341 pesticides in grape, orange, tomato, okra and spinach by gas chromatography triple quadrupole mass spectrometry (GC-MS/MS). Timed-selective reaction monitoring (t-SRM) was found advantageous over segment SRM in terms of ease of method optimization and sensitivity. The optimized t-SRM method was used to test the applicability of ultra-SRM (USRM) in filtering out co-eluting interfering matrix compounds. False detections of benfluralin, dimethoate, etc. could be avoided when mass resolution was increased from 0.7 to 0.4 and 0.2. Da (full width at half maximum). Similar observations were noted for chlorobenzilate, spiromesifen, tebuconazole, etc., in grape; omethoate, bendiocarb, monocrotophos, etc. in orange; omethoate, dimethoate, ethoxyquin, atrazine, etc., in tomato; and dichlobenil, omethoate, propoxur, monocrotophos, etc., in okra. The analysis at higher mass resolution could significantly minimize matrix effects (ME), e.g., 34% at 0.7. Da for spiroxamine in grape to 0.6% (0.4. Da) and -44% (0.7. Da) for dichlorvos in okra to 8.8% (0.1. Da). A feature called "quantitation enhanced data-dependent (QED) scan feature" was found effective in targeted screening to confirm the detection of atrazine, azoxystrobin, λ-cyhalothrin, etc. at trace quantities in incurred samples and avoid false detection of chlorpyrifos.
机译:在多残留分析中,随着基质的复杂性增加,基质共萃取物可能共洗脱并干扰目标分析物的检测,从而导致假阳性和错误的定量。本文旨在通过气相色谱三重四极杆质谱(GC-MS / MS)评估增强的质量分辨率,同时选择性和灵敏度的组合,以分析葡萄,橙子,番茄,秋葵和菠菜中341种农药的复杂混合物。发现定时选择性反应监测(t-SRM)在方法优化的简便性和灵敏度方面优于段SRM。优化的t-SRM方法用于测试超SRM(USRM)在滤除共洗脱干扰基质化合物中的适用性。当质量分辨率从0.7增加到0.4和0.2时,可以避免错误地检测到苄氟拉林,乐果等。 Da(半高全宽)。葡萄中的氯苯甲酸酯,螺菌丝芬,戊唑醇等观察到相似的观察结果;橙色的氧化乐果,灭草威,久效磷等;番茄中的氧化乐果,乐果,乙氧基喹,at去津等;秋葵中的二氯苯甲腈,氧化乐果,丙氧磷,久效磷等。在较高质量分辨率下进行的分析可以显着降低基质效应(ME),例如在0.7时为34%。葡萄中的spiroxamine的Da降至0.6%(0.4。Da),秋葵中的敌敌畏为-44%(0.7。Da)至8.8%(0.1。Da)。发现一种称为“量化增强的数据依赖(QED)扫描功能”的功能可有效用于靶向筛选,以确认在痕量样品中痕量阿特拉津,嘧菌酯,λ-氯氟氰菊酯等的检测,并避免错误检测毒死rif。

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