A fast, sensitive and eco-friendly method was developed for the determination of fifteen polycyclic aromatic hydrocarbons (PAHs) in different environmental matrices through gas chromatography mass spectrometry (GC-MS). The method utilizes a modified and miniaturized quick easy cheap effective rugged and safe (QuEChERS) clean up procedure coupled to an air-assisted dispersive liquid-liquid microextraction (AA-DLLME) for the enrichment of the concerned compounds in various samples. The AA-DLLME uses diethyl carbonate (DEC) as a green bio-based solvent for the microextraction. DEC is considered as biodegradable (with octanol/water coefficient <3, resulting in low potential of bioaccumulation) and classified as a green solvent and considered as one of the recommended solvent alternatives based on SSG results. The DLLME method was optimized by One-Variable-At-Time (OVAT) succeeded by experimental design applying Central Composite Face-centered (CCF) design. The method linear calibration was found in the range of 10-120 µg/Kg for Benzo[a]pyrene and 5-100 µg/Kg for all other PAHs with low detection limits ranging from 0.01 to 2.10 µg/Kg. The method could enrich the PAHs up to 166-folds. The combination of modified μ-QuEChERS with the green AA-DLLME could sharply decrease the caffeine amount on the final extract injected to the GC-MS instrument. The method was successfully applied to coffee, tea, and water samples with acceptable % recovery (>90%). Finally, the impact of procedure to the environment from green analytical chemistry view was assessed by a novel metric system called AGREE, proving the greenness of our procedure.

建立了一种快速，灵敏且环保的方法，通过气相色谱质谱法（GC-MS）测定不同环境基质中的十五种多环芳烃（PAH）。该方法利用改进的小型化，快速，简单，廉价，有效，坚固，安全的净化程序（QuEChERS）结合空气辅助分散液-液微萃取（AA-DLLME），可富集各种样品中的相关化合物。AA-DLLME使用碳酸二乙酯（DEC）作为绿色生物基微萃取的溶剂。DEC被认为是可生物降解的（辛醇/水系数<3，导致潜在的生物蓄积性低），被归类为绿色溶剂，并且根据SSG结果被认为是推荐的替代溶剂之一。通过一次变数（OVAT）对DLLME方法进行了优化，并通过采用中央复合面心（CCF）设计进行了实验设计。对于苯并[a] py，线性校准方法的检出范围为10-120 µg / Kg，对于所有其他PAH，线性校准的检定范围为5-100 µg / Kg，检出限低至0.01至2.10 µg / Kg。该方法可使PAHs富集多达166倍。改良的μ-QuEChERS与绿色AA-DLLME的组合可以大大减少注入GC-MS仪器的最终提取物中的咖啡因含量。该方法已成功应用于咖啡，茶和水样品，回收率可接受（> 90％）。最后，通过一种称为AGREE的新型度量系统，从绿色分析化学的角度评估了该程序对环境的影响，证明了该程序的绿色性。