采用HS-SPME-GM/MS法对不同污染河流水中嗅味物质检测方法进行优化，探讨了不同因素对萃取效果的影响。结果表明，用50/30 μm DVB/CAR/PDMS作萃取纤维头、水样体积为瓶容积的1/2、转速为250 r/min、65℃恒温加热30 min、25% NaCl投量（W/V%）、250℃解吸3 min时效果最佳。DMTS在5.0~200 ng/L范围内线性关系良好，拟合度R²=0.998 7，2-MIB、GSM在2.0~200 ng/L范围内线性较好，拟合度R² ≥ 0.999；方法检出限分别为3.6、2.3、1.1 ng/L，回收率为88.1%~97.2%，RSD为5.1%~7.3%。该方法适用于地表水中致嗅物质的定量分析，同时探讨了典型嗅味物在不同表观污染中的差异性。

Automatic head-space solid phase micro-extraction-gas chromatography/mass spectrometry (HS-SPME-GM/MS) is employed to optimize the detection method for taste & odor compounds in surface water with different pollution levels.The influences of different factors on the extraction efficiency are explored.The best detection effects are obtained under conditions that the 50/30 μm DVB/CAR/PDMS coating extraction fiber is selected for HS-SPME,ten micro-liter of sample solution with 0.25 g·mL^-1 NaCl has been equilibrated at 250 r/min and 65℃ for 30 min,and the extraction fiber is injected into GC-MS at 250℃ for 3 min.The calibration linear ranges of DMTS,2-MIB and GSM are 5.0-200,2.0-200 and 2.0-200 ng·L^-1,respectively,the detection limits are 3.6,2.3 and 1.1 ng·L^-1 respectively.The relative standard deviations are 5.1%-7.3% and the average rates of recovery are 88.1%-97.2%.This method is applicable to quantitative analysis on taste & odor substances in surface water.The differences of typical taste & odor compounds in different apparent pollutions are also explored.

魏彬(1992-),男,硕士研究生,研究方向为水污染控制与理论,1064330761@qq.com