To analyze pesticide residues, GC coupled with quadrupole-Orbitrap MS (GC-Orbitrap-MS) has become a powerful tool because of its unique characteristics of accurate mass full-spectrum acquisition, high resolution, fast acquisition rates, and overcoming matrix interference. This paper presents an efficiency evaluation of GC-Orbitrap-MS for identification and quantitation in the 352 pesticide residues analysis of chrysanthemum flowers in full-scan mode. A streamlined pretreatment approach using one-step extraction and dilution was used, which provided high-throughput processing and excellent recovery. The samples were extracted using acetonitrile. The extracted solution was purified by a Sin-QuEChERS Nano column to suppress the matrix in chrysanthemum flowers and determined by GC-Orbitrap-MS. The calibration curves for the 352 pesticides obtained by GC-Orbitrap-MS were linear in the range of 0.5–200 μg·kg⁻¹, with the correlation coefficients higher than 0.99. The limits of detection (LODs) and the limits of quantification (LOQs) for the 352 pesticide residues were 0.3–3.0 μg·kg⁻¹ and 1.0–10.0 μg·kg⁻¹, respectively. The average recoveries in chrysanthemum flower at three levels were 95.2%, 88.6%, and 95.7%, respectively, with relative standard deviations (RSDs) of 7.1%, 7.5%, and 7.2%, respectively. Lastly, the validated method and retrospective analysis was applied to a total of 200 chrysanthemum flower samples bought in local pharmacies. The proposed method can simultaneously detect multipesticide residues with a good performance in qualitative and quantitative detection.

中文翻译：

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气相色谱-四极杆-轨道阱质谱-Sin-QuEChERS纳米柱萃取快速筛查菊花中352种农药残留

GC-Orbitrap MS (GC-Orbitrap-MS) 结合四极杆-Orbitrap MS (GC-Orbitrap-MS) 分析农药残留，因其独特的精确质量全谱采集、高分辨率、快速采集速率和克服基质干扰等特点而成为一种强大的工具。本文介绍了 GC-Orbitrap-MS 在全扫描模式下对菊花中 352 种农药残留进行鉴定和定量分析的效率评估。使用一步提取和稀释的流线型预处理方法，可提供高通量处理和出色的回收率。使用乙腈提取样品。提取的溶液通过 Sin-QuEChERS Nano 柱纯化以抑制菊花中的基质，并通过 GC-Orbitrap-MS 测定。 μ g·kg ^-1，相关系数大于0.99。352 种农药残留的检测限 (LOD) 和定量限 (LOQ) 分别为 0.3-3.0  μ g·kg ^-1和 1.0-10.0  μ g·kg ^-1。菊花三个水平的平均回收率分别为 95.2%、88.6% 和 95.7%，相对标准偏差 (RSD) 分别为 7.1%、7.5% 和 7.2%。最后，对在当地药店购买的200份菊花样品进行了验证方法和回顾性分析。该方法可以同时检测多种农药残留，在定性和定量检测方面表现良好。