顶空固相微萃取-气相色谱-串联质谱法测定香精香料中黄樟素

提出了顶空固相微萃取-气相色谱-串联质谱法测定香精香料中黄樟素含量的方法。为使固相微萃取达到更高的效率,选用65μm聚二甲基硅氧烷/二乙烯苯作为微萃取的涂层,萃取温度及时间为（25±5）℃和30 min。用DB-5MS毛细管色谱柱分离,电子轰击离子源串联质谱模式检测。选定黄樟素的母离子和子离子分别为m/z 162和m/z 131,内标丙酸苯乙酯的定量离子为m/z 104。黄樟素的线性范围为20～1 000 ng·g^-1,方法的检出限（3S/N）为2.2 ng·g^-1。在3个浓度水平上做回收试验,加标回收率在71.1%～114.0%之间,相对标准偏差（n=5）在3.4%～16%之间。     

正交试验优化-顶空固相微萃取-气相色谱-串联质谱法测定水中戊二醛

建立了顶空固相微萃取-气相色谱-串联质谱测定水中戊二醛的方法。设计5因素4水平完整的正交试验,通过极差分析获得顶空固相微萃取优化条件。10 mL,pH 1的水样加入6 g NaCl,经非极性PDM S,100μm纤维头于75℃萃取25 min,210℃解析进样0.2 min。采用VF-5(60 m×0.25 mm×0.25μm)色谱柱程序升温分离,选择多反应监测(M RM)模式采集质谱信息。以m/z 82/54为定量离子,以m/z 82/39为定性离子,外标法定量。结果表明,戊二醛质量浓度在0.02~0.6 mg/L范围内线性良好,相关系数(r)>0.9996,方法检出限7μg/L,定量限20μg/L。低(0.04 mg/L)、中(0.1 mg/L)、高(0.4 mg/L)3个水平加标回收率为87.4%~103.7%,相对标准偏差(RSD)<6%。方法适用于测定水中的戊二醛。     

顶空固相微萃取-气相色谱/质谱法测定水中丁基黄原酸

在酸性条件下,水中的丁基黄原酸能快速水解生成二硫化碳(CS2),通过固相微萃取吸附,并与气相色谱-质谱仪联用,建立了测定水中丁基黄原酸的新方法.CS2质量浓度在0.10 ～ 10.0μg/L范围内呈良好的线性,检出限为20 ng/L,定量限为80 ng/L,纯水加标的平均回收率为95.0％ ～ 98.8％,相对标准偏差...     

固相微萃取-气相色谱-串联质谱法检测水中克菌丹残留量

建立了环境水样中克菌丹残留量的固相微萃取-气相色谱-串联质谱联用(SPME-GC-MS/MS)检测方法.通过优化固相微萃取的条件对水样中的克菌丹进行富集,分析结果表明克菌丹在0.10~5.00 mg/L的质量浓度范围内线性关系良好,相关系数r2大于0.99,对农田灌溉水进行加标回收率试验,测定的低、中、高3种不同添加浓度的平均回收率分别为75.7%、79.1%和83.1%,相对标准偏差(RSD)在2.0%~3.4%范围内,检出限(LOD)为7.98μg/L.与传统溶剂萃取农药残留的方法相比,具有前处理简便、无溶剂污染等优点,同时方法准确度和精密度较好,可作为环境水样中克菌丹残留量的监测.     

顶空固相微萃取-气相色谱质谱法测定蜂蜜中的苯酚残留量

建立了一种顶空固相微萃取-气相色谱质谱法(SPME-GC/MS)测定蜂蜜中苯酚的分析方法。对SPME纤维头、萃取温度、萃取时间及解吸时间等萃取条件进行了优化。结果表明:用85μm的聚丙烯酸酯(PA)萃取涂层对蜂蜜中的苯酚萃取效果很好,苯酚在0.5~1000 ng/g的浓度范围内,方法的检出限为0.1ng/g,相对标准偏差(n=9)为3.3%,平均回收率为85.79%~99.35%。     

固相萃取-气相色谱-串联质谱法检测水中18种酚类化合物

当前水中酚类化合物种类不清、危害不明,多种酚类化合物的同时检测方法不成熟,因此建立水中多种酚类化合物同时检测的方法具有重要现实意义。该研究建立了固相萃取结合气相色谱-串联质谱同时检测水中18种酚类化合物的分析方法。实验选择超纯水为空白样品,采用固相萃取技术富集、提取水中的酚类化合物,同时对水样初始pH值、洗脱液的种类、洗脱液的用量等条件进行优化,从而确定出最优的前处理方法,最后利用气相色谱-串联质谱法对不同种类的酚类化合物同时进行定量检测。实验结果表明,在初始水样pH值为3.0、不衍生等条件下,使用10 mL乙酸乙酯洗脱,控制洗脱速度为1 mL/min,经固相柱富集净化,氮吹浓缩后,用气相色谱-质谱仪(EI源)测定,选择离子模式监测,外标法定量。结果表明,以3倍信噪比结合浓度外推法确定方法检出限,为0.04～0.6μg/L; 18种酚类化合物的加标回收率为51.7%～117.3%,相对标准偏差为3.1%～7.4%。应用建立的方法分别检测了河流湖泊水、生活用水、生产用水3大类6种不同的水质。检测结果表明,河流湖泊水中酚类化合物所含种类最多,含量最高。研究建立的方法不需要衍生,简化了前处理...     

顶空固相微萃取-气相色谱-质谱法测定饮用水源水中1,3,5-三氯苯

采用顶空固相微萃取-气相色谱-质谱法对饮用水源水中1,3,5-三氯苯进行了测定。以1,2-二氯苯-d4为内标,用PDMS萃取头顶空萃取20min,萃取头于气相色谱进样口解析5min。采用DB-624色谱柱在程序升温条件下进行分离,质谱分析中采用电子轰击离子源(230℃,70eV)及选择离子监测模式测定。结果表明:1,3,5-三氯苯在0.100～2.50μg.L-1范围内呈线性,检出限(3S/N)为0.019μg.L-1。方法用于河流及水库水中的1,3,5-三氯苯的测定,加标回收率在91.5%～126.0%之间。     

固相萃取-气相色谱串固相萃取-气相色谱-串联质谱法测定水果中11种三唑类杀菌剂

建立了固相萃取-气相色谱-串联质谱同时测定水果中11种三唑类杀菌剂残留的方法。采用乙腈匀浆提取样品中的待测组分,经固相萃取法(SPE)净化,采用气相色谱-串联质谱在多反应监测(MRM)模式下进行测定,外标法定量。分别对水果样品进行4个水平(10、50、100、250 μg/kg)的加标回收试验,回收率为82.6%～117.1%,相对标准偏差小于10%,定量限(LOQ,以信噪比(S/N)为10计)为0.8～3.4 μg/kg。结果显示该方法的背景干扰低,灵敏度高,定量限低于国家标准及有关文献报道值,适合橘子等水果中三唑类杀菌剂的同时测定。     

顶空固相微萃取-气相色谱-质谱法测定小米黄酒风味成分

为全面了解小米黄酒风味成分的构成和气味特征,优化了85μm聚丙烯酸酯(PA)、100μm聚二甲基硅氧烷(PDMS)、75μm碳分子筛(CAR)/PDMS、50/30μm二乙烯基苯(DVB)/CAR/PDMS萃取头提取小米黄酒风味成分的条件,采用顶空固相微萃取(headspace solid phase microextraction,HS-SPME)-气相色谱-质谱法(GC-MS)对风味成分进行定性、定量分析,并计算气味活性值(odor active value,OAV),同时利用OAV分析风味成分的气味特征和气味强度。结果显示:不同萃取头的最优萃取条件为样品量8 mL、萃取时间40 min、萃取温度60℃、NaCl添加量1.5 g。小米黄酒风味成分由醇、酯、含苯化合物、烃、酸、醛、酮、烯、酚和杂环类化合物构成,醇为主要风味成分。通过OAV确定了苯乙醇、苯乙烯、2-甲基萘、1-甲基萘、苯甲醛、苯乙醛、2-甲氧基-苯酚为小米黄酒气味特征成分,苯基乙醇、苯乙醛对气味贡献最大。PA和PDMS萃取头分别对极性和非极性化合物具有较好的吸附效果,CAR/PDMS和DVB/CAR/PDMS萃取头对中等极性化合物具有较好的吸附效果。该研究全面了解了小米黄酒风味成分的构成,为其产品开发及品质控制提供理论了依据。     

顶空固相微萃取-气相色谱-质谱法测定废水中痕量挥发性烷基硫化物

建立了顶空固相微萃取(HS-SPME)和气相色谱/质谱(GC/MS)联用测定人工湿地废水中的痕量挥发性烷基硫化物的方法。针对废水中两种主要的挥发性烷基硫化物(二甲基硫、二甲基二硫),详细研究了萃取纤维头的种类、萃取时间、萃取温度、pH值、离子强度、样品量及解析条件对HS-SPME的影响。载气为高纯氦气,流速为1.0mL/min,色谱柱为DB-5ms毛细管柱(0.25μm,30m×0.32mm),柱温:25℃(5min)■40℃(1min)■60℃(5min);在优化的实验条件下,本法测定二甲基硫及二甲基二硫的线性范围分别为10～10000ng/L和1～10000ng/L;检出限(3σ)分别为1.9ng/L和1.8ng/L;相对标准偏差小于10%;回收率分别为81.0%～94.6%和84.0%～100.9%。用二乙基硫为内标物质,将本法用于人工湿地废水中主要的烷基硫化物二甲基硫和二甲基二硫的测定,获得满意结果。     

Multiresidue Method for the Determination of Organophosphorus Pesticides in Still Wine and Fortified Wine Using Solid-Phase Microextraction and Gas Chromatography – Tandem Mass Spectrometry

A SPME-GC-MS/MS method for the determination of eight organophosphorus pesticides (azinphos-methyl, chlorpyriphos, chlorpyriphos-methyl, diazinon, fenitrothion, fenthion, malathion, and methidathion) in still and fortified wine was developed. The extraction procedure is simple, solvent free, and without any sample pretreatment. Limits of detection (LOD) and quantitation (LOQ) values in the range 0.1–14.3 µg/L and 0.2–43.3 µg/L, respectively, were obtained. The LOQ values are below the maximum residue levels (MRLs) established by European Regulation for grapes, with the exception of methidathion. Coefficients of correlation (R²) higher than 0.99 were obtained for the majority of the pesticides, in all different wines analyzed.     

Development of a cellular biosensor for the detection of 2,4,6-trichloroanisole (TCA)

2,4,6-trichloroanisole (TCA) is a microbial metabolite formed from chlorophenols through the activity of several natural fungal strains present on the cork oak bark. TCA is the primary compound responsible for the mousty/mould off-odour known as “cork taint” present in cork stoppers, wine, water and alcoholic beverages. Chromatographic and electrochemical methods are currently used for the determination of TCA, however its detection at low concentrations remains a technical challenge. The aim of this study was the development of a rapid novel biosensor system based on the Bioelectric Recognition Assay (BERA). The sensor measured the electric response of cultured membrane-engineered fibroblast cells suspended in an alginate gel matrix due to the change of their membrane potential in the presence of the analyte. Membrane-engineered cells were prepared by osmotic insertion of 0.5 μg/l of specific TCA antibodies into the membrane of the cells. The BERA-based sensor was able to detect TCA in a few minutes (3-5 min) at extremely low concentrations (10⁻¹ ppt), thus demonstrating higher sensitivity than the human sensory threshold. In addition, the assay was quite selective against other haloanisoles and halophenols structurally related to or co-occurring with TCA. Finally the sensor was tested against real white wine samples from cork soaks. At this real test, the BERA sensor was able to detect TCA from cork soaks rapidly (3-5 min) at very low concentrations (1.02-12 ng/l), covering the whole range for the detection threshold for wines (1.4-10 ng/l). Therefore, this novel biosensor offers new perspectives for ultra-rapid, ultra-sensitive and low-cost monitoring of TCA presence in cork and wine and possibly also other food commodities.     

固相微萃取-气相色谱法测定红葡萄酒中残留的有机磷农药

采用溶胶-凝胶包埋技术制备了耐高温固相微萃取头(SPME),用该萃取头与气相色谱-热离子化检测器联用对红葡萄酒中的12种有机磷农药残留进行了测定。实验中对搅拌速度、萃取时间、盐浓度等条件进行了优化。结果表明,在样品用量25 mL,搅拌速度1250 r/min,盐浓度 150 g/L,萃取时间30 min的条件下,绝大多数组分峰面积的相对标准偏差（RSD）在5%以下,各种有机磷农药的检测限为5 ng/L到0.38 μg/L。     

Air-Depleted and Solvent-Impregnated Cork Powder as a New Natural and Sustainable Fining Agent for Removal of 2,4,6-Trichloroanisole (TCA) from Red Wines

Trichloroanisole (TCA) in wine results in a sensory defect called “cork taint”, a significant problem for the wine industry. Wines can become contaminated by TCA absorption from the atmosphere through contaminated wood barrels, cork stoppers, and wood pallets. Air-depleted solvent-impregnated (ADSI) cork powder (CP) was used to mitigate TCA in wines. The ADSI CP (0.25 g/L) removed 91% of TCA (6 ng/L levels), resulting in an olfactory activity value of 0.14. A Freundlich isotherm described ADSI CP TCA adsorption with irreversible adsorption and a K_F = 33.37. ADSI CP application had no significant impact on the phenolic profile and chromatic characteristics of red wine. Using headspace sampling with re-equilibration, an average reduction in the volatile abundance of 29 ± 15%, 31 ± 19%, and 37 ± 24% was observed for the 0.10, 0.25, and 0.50 g/L ADSI CP, respectively. The alkyl esters and acids were the most affected. The impact observed was much lower when using headspace sampling without re-equilibration. Isoamyl acetate, ethyl hexanoate, ethyl hexanoate, and ethyl decanoate abundances were not significantly different from the control wine and 0.25 g/L ADSI CP application. Thus, ADSI CP can be a new sustainable fining agent to remove this “off-flavor” from wine, with a reduced impact on the wine characteristics.     

气相色谱-质谱法测定软木塞中2种霉味物质

建立了一种简便、快速的可同时测定软木塞中两种霉味物质(2,4,6-三氯苯甲醚(TCA)和2,4,6-三溴苯甲醚(TBA))的气相色谱-质谱联用(GC-MS)方法。软木塞样品采用甲醇超声萃取,N-丙基乙二胺(PSA)固相萃取柱净化,浓缩后采用GC-MS进行分析,外标法定量。在10～10000 μg/L的质量浓度范围内,TCA和TBA均有较好的线性关系,相关系数(r2)大于0.99。通过对不同种类的软木塞空白样品进行加标回收率试验和精密度试验考察方法的可行性。结果表明TCA和TBA的回收率介于88.4%与97.6%之间,相对标准偏差介于1.02%与4.58%之间。TCA和TBA的检出限分别为12 μg/L和18 μg/L,定量限分别为40 μg/L和50 μg/L。本方法适用于市售瓶装葡萄酒软木塞中TCA和TBA的检测。     

凝胶渗透色谱净化-气相色谱/串联质谱分析蘑菇中的36种农药残留

建立了用凝胶渗透色谱净化-气相色谱/串联质谱分析蘑菇中36种农药残留的方法。蘑菇中的待测农药组分在30 ℃条件下用乙酸乙酯提取,高速匀浆后通过凝胶渗透色谱净化;选用填料为中性多孔的聚苯乙烯二乙烯基苯微球体的S-X3玻璃柱(22 g,19 cm×2 cm)作为凝胶渗透色谱净化柱,流动相为乙酸乙酯-环己烷(体积比为1∶1)溶液,流速5 mL/min;收集第7~15 min流出的液体用气相色谱-三重四极杆串联质谱仪测定。在0.01~1.0 mg/L的质量浓度范围内,各种农药标准溶液的线性相关系数均大于0.99。在样品中添加36种农药(添加水平为0.01,0.05,0.10 mg/kg)的混合标准溶液,平均回收率为72.6%~117.1%,相对标准偏差为2.0%~10.8%(n=5),最低检出限为 0.1~0.7 μg/kg,最低定量限为 0.2~2 μg/kg。     

亲水作用色谱-串联四极杆质谱测定液态奶中舒巴坦

建立了亲水作用色谱-串联四极杆质谱测定液态奶中微量舒巴坦的分析方法。样品经0.2%乙酸水溶液提取,HLB固相萃取柱净化、富集,以甲酸铵-乙腈为流动相,经Acquity UPLC BEH HILIC色谱柱分离后采用电喷雾质谱多反应监测方式(MRM)扫描,外标法定量。结果表明,舒巴坦的质量浓度在1～100μg/L范围内线性关系良好,r2大于0.99,定量下限为1.0μg/kg。加标水平在1.0～50.0μg/kg范围时,回收率为82%～102%,相对标准偏差(RSD)为1.6%～4.7%。该方法前处理简便快捷、灵敏度高、回收率和重现性良好,适用于液态奶中舒巴坦的测定。     

Determination of Neonicotinoid Pesticides in Propolis with Liquid Chromatography Coupled to Tandem Mass Spectrometry

In this study, a method was developed for the determination of five neonicotinoid pesticides (acetamiprid, clothianidin, imidacloprid, thiacloprid, and thiamethoxam) in propolis. Two sample preparation methods were tested: solid-phase extraction and the quick, easy, cheap, effective, rugged, and safe (QuEChERS) method. The identities of analytes were confirmed using liquid chromatography–tandem mass spectrometry (LC-MS/MS) in the selected reaction monitoring mode. Solid-phase extraction resulted in cleaner extracts; therefore, the SPE-LC-MS/MS method was validated according to the SANTE protocol in triplicate at two spiking levels (10 ng/g and 50 ng/g). The average recoveries of analytes ranged from 61% to 101%, except for clothianidin (10–20%). The LOD ranged from 0.2 ng/g to 4.4 ng/g, whereas the LOQ was in the range of 0.8 ng/g–14.7 ng/g. In order to compensate for the matrix effect, matrix-matched calibration was used. Good accuracy (relative error: 1.9–10.4%) and good linearity (R² > 0.991) were obtained for all compounds. The optimised method was applied to 30 samples: 18 raw propolis and 12 ethanol tinctures. Acetamiprid, imidacloprid, and thiacloprid were detectable in seven samples but were still below the LOQ. This study is the first to report the determination of several neonicotinoid residues in propolis.     

坚果中185种农药残留的气相色谱-串联质谱法测定

建立了花生仁、葵花籽、核桃仁和杏仁中185种农药多残留的气相色谱-串联质谱(GC-MS/MS)检测方法.样品经乙腈(含1%乙酸)均质提取,EN\1-18串联PSA固相萃取柱净化,在多重反应监测(MRM)模式下进行气相色谱-串联质谱法测定.185种农药在坚果样品中的检出限(S/N=5)为0.02～526.4μg/kg,定...