在线液相-气相二维色谱测定卷烟主流烟气中的苯并[a]芘

建立了在线液相-气相二维色谱测定卷烟主流烟气中的苯并[a]芘方法.采用剑桥滤片捕集烟气粒相物,环己烷萃取,以D12-苯并[a]芘为内标,然后用在线液相-气相二维色谱测定:样品直接进样进入液相色谱,经微型硅胶柱分离,含苯并[a]芘的部位切割进人气相色谱,排干溶剂后启动气相色谱升温,经毛细管柱进行分离,用质谱检测.本方法将烟气苯并[a]芘测定中的硅胶柱层析和气相色谱-质谱分析在线连接起来,可不经样品前处理净化直接进样分析;而且每次进样可达40 μL,与常规气相色谱-质谱分析最大进样2.0 μ.L相比,分析灵敏度提高了20倍.方法线性范围达0.08～ 50 ng/L,相关系数为r2=0.999,回收率为94.2％～105.5％;检出限和定量限分别为0.09和0.30 ng/支,应用本方法对14个不同类型市售卷烟和2R4F标准烟进行了测定,结果与GB/T21130-2007测定结果相符合.     

一种超临界流体色谱–气相色谱–质谱测定卷烟主流烟气中苯并[a]芘的方法

<正>申请公布号:CN106198796A申请公布日:2016.12.07申请人:云南中烟工业有限责任公司摘要本发明公开了一种超临界流体色谱(SFC)–气相色谱–质谱(GC–MS)测定卷烟主流烟气中苯并[a]芘的方法。本方法是在抽吸卷烟后,向捕集卷烟主流烟气总粒相物的滤片中加入内标物及环己烷溶液,超声提取后,萃取液用超临界流体色谱进行分离净化,切割含有苯并[a]芘的馏分再用GC–MS分析,根据目标物峰和同位素内标物峰的面积比定     

全自动固相萃取-气相色谱-串联质谱法测定卷烟主流烟气中的3种多环芳烃

以全自动固相萃取技术净化主流烟气萃取液,建立了卷烟主流烟气中苯并［a］芘、苯并［a］蒽和屈艹 3种多环芳烃的气相色谱-串联质谱(GC-MS/MS)测定方法。以吸烟机抽吸卷烟,并以剑桥滤片捕集卷烟主流烟气,然后以含氘代苯并［a］芘内标的环己烷溶液萃取滤片,萃取液经全自动固相萃取仪净化后以GC-MS/MS分离检测。结果表明,苯并［a］芘、苯并［a］蒽和屈艹 的检出限分别为0.05、0.16和0.23 ng/cig,回收率为91.5%～102.1%,相对标准偏差(RSD)均小于5%。该方法的自动化程度高、操作简便、检出限低、重复性好,适用于卷烟主流烟气中苯并［a］芘、苯并［a］蒽 3种多环芳烃释放量的检测。     

气相色谱-串联质谱法同时测定卷烟滤嘴中15种多环芳烃

建立了气相色谱-串联质谱同时检测卷烟滤嘴中15种多环芳烃的方法。卷烟滤嘴用二氯甲烷振荡萃取后,经0.22μm有机相滤膜过滤,采用DB-5MS色谱柱(30 m×0.25 mm,0.25μm)进行分离,电子轰击源、正离子模式下以多反应监测模式进行检测,内标法进行定量。15种多环芳烃(苊烯、苊、芴、菲、蒽、荧蒽、芘、苯并[a]蒽、屈、苯并[b]荧蒽、苯并[k]荧蒽、苯并[a]芘、二苯并[a,h]蒽、苯并[g,h,i]苝和茚并[1,2,3-c,d]芘)的线性关系良好,相关系数(R~2)为0.991 4~0.999 9。15种多环芳烃在低、中、高3个添加水平下的平均回收率为81.6%~111.2%;除了芴在低添加水平时相对标准偏差为19.2%外,其他相对标准偏差均小于16%。15种多环芳烃的检出限为0.02~0.24 ng/滤嘴,定量限为0.04~0.80 ng/滤嘴。方法前处理简便,具有快速、准确、灵敏度高及重复性好的优点,适用于卷烟滤嘴中多环芳烃的分析。     

固相萃取新装置净化-超高效液相色谱法测定卷烟主流烟气中的苯并[α]芘

研究了用正相固相萃取净化,超高效液相色谱测定卷烟主流烟气中苯并[α]芘的方法。捕集有卷烟主流烟气总粒相物的剑桥滤片置于自主设计的样品萃取瓶中,用环己烷-乙醇(95:5,V/V)超声振荡萃取,提取液用硅胶固相萃取净化,然后以Waters ACQUITY UPLC BEH C18(2.1×50 mm,1.7μm)色谱柱为固定相,甲醇为流动相,超高效液相色谱-荧光检测测定;苯并[α]芘检出限为0.22 ng/支,样品加标回收率为89.6%~95.4%,日内相对标准偏差为3.2%,日间相对标准偏差为3.6%;结果令人满意。     

加速溶剂/固液固萃取-气相色谱/质谱法分析卷烟烟气中苯并[a]芘

建立了集萃取与净化于一体的加速溶剂/固液固萃取(AS/SLSE)卷烟烟气中痕量苯并[a]芘(BaP)的样品前处理方法。卷烟烟气经捕集后,用AS/SLSE提取和净化,萃取液浓缩后进行色谱分析。优化了AS/SLSE吸附剂、萃取温度、吹扫体积、静态萃取时间及循环次数等条件。在优化条件下(5 g硅镁型吸附剂、萃取温度100℃、吹扫体积40%、静态萃取时间3 min循环2次,样品连续萃取3次),AS/SLSE-气相色谱/质谱法(GC/MS)分析卷烟烟气中苯并[a]芘方法的检出限为1.0μg/L,回收率为97.1%,相对标准偏差(RSD)为2.5%。方法成功用于卷烟烟气样品的分析,测定结果与国家标准推荐方法吻合。     

分子印迹聚合物选择性降低烟气中稠环芳烃类物质

以芘(PYR)为模板,由热引发本体聚合合成了芘分子印迹聚合物(MIP),考察了印迹聚合物的选择性吸附性能,采用Scatchard模型分析了印迹聚合物的结合特性,用离线固相萃取实验考察了印迹聚合物对同类底物的吸附能力,并将芘分子印迹聚合物应用到卷烟滤嘴中,用GC/MS法考察了卷烟主流烟气中稠环芳烃类物质释放量的变化。 结果表明,芘分子印迹聚合物具有选择性降低卷烟烟气中稠环芳烃类物质的功能,当MIP添加量为1.5 mg时,能将卷烟烟气中的苯并[a]芘(B[a]P)、苯并(a)蒽(B[a]A)和苣(CHR)的释放量分别降低31.08%、25.69%和27.33%。     

分子印迹聚合物选择性降低烟气中稠环芳烃类物质

以芘(PYR)为模板,由热引发本体聚合合成了芘分子印迹聚合物(MIP),考察了印迹聚合物的选择性吸附性能,采用Scatchard模型分析了印迹聚合物的结合特性,用离线固相萃取实验考察了印迹聚合物对同类底物的吸附能力,并将芘分子印迹聚合物应用到卷烟滤嘴中,用GC/MS法考察了卷烟主流烟气中稠环芳烃类物质释放量的变化。结果表明,芘分子印迹聚合物具有选择性降低卷烟烟气中稠环芳烃类物质的功能,当MIP添加量为1.5 mg时,能将卷烟烟气中的苯并[a]芘(B[a]P)、苯并(a)蒽(B[a]A)和苣(CHR)的释放量分别降低31.08%、25.69%和27.33%。     

高效液相色谱法测定生活饮用水中的苯并[a]芘

建立高效液相色谱二极管阵列检测器检测生活饮用水苯并[a]芘的测定方法。采用C18反相色谱柱(150mm×4.6 mm,5μm),在流动相为甲醇–水(体积比为90∶10)、流量1.0 mL/min、检测波长295 nm、柱温35℃、进样体积20μL的条件下测定生活饮用水中苯并[a]芘。该方法检出限为6 ng/L,线性范围0～100 ng/mL,加标回收率为88.1%～93.4%,测定结果的相对标准偏差为1.06%(n=9)。该法样品预处理简单,分离度高,分析时间短,适用于生活饮用水中苯并[a]芘的准确定性定量测定。     

利用SPE-HPLC法研究中草药对卷烟烟气中苯并[a]芘含量的影响

利用KC-5直线型吸烟机同时捕集主、侧流烟气,固相萃取预处理烟气样品,以ZORBAX SB-C18柱(150 mm×4.6mm,5 μm)作色谱柱,V(乙腈):V(水)=75:25作流动相,激发波长380 nm,发射波长413 nm,高效液相色谱-荧光检测法测定加入丹参、白芍和淫羊藿提取物前后卷烟主、侧流烟气中苯并[a]芘(BaP)含量的变化.结果表明,①该法的回收率为93.70%,RSD1.67%,检测限0.62 ng/mL;②丹参、白芍和淫羊藿提取液可使卷烟的主、侧流烟气中BaP含量分别降低35.80%、20.39%、21.71%和11.11%、14.69%、10.97%,且BaP的降低量与总粒相物(TPM)之间不存在明显的相关性.     

固相萃取-高效液相色谱法同时测定羊肉制品中9种杂环胺

建立了同时测定羊肉制品中9种杂环胺的固相萃取-高效液相色谱(SPE-HPLC)分析方法。样品经2 mol/L NaOH超声提取、80 mL二氯甲烷液-液萃取,利用阳离子交换柱(MCX柱)净化和富集后进行HPLC分析。采用反相C18色谱柱,以乙腈和0.01 mol/L磷酸溶液(用三乙胺调整pH 3.6)为流动相对杂环胺进行梯度洗脱,使用二极管阵列检测器(DAD)分别在228 nm(2-氨基-9H-吡啶并［2,3-b］吲哚(AaC)、2-氨基-3-甲基-9H-吡啶并［2,3-b］吲哚(MeAaC))、253 nm(2-氨基-3-甲基咪唑并［4,5-f］喹啉(IQ)、1-甲基-9H-吡啶并［3,4-b］吲哚(Harman)、2-9H-吡啶并［3,4-b］吲哚(Norharman))、263 nm(2-氨基-3,8-二甲基咪唑并［4,5-f］喹喔啉(MeIQx)、2-氨基-3,4,8-三甲基咪唑并［4,5-f］喹喔啉(4,8-DiMeIQx)、3-氨基-1-甲基-5H-吡啶并［4,3-b］吲哚(Trp-p-2))、321 nm(2-氨基-1-甲基-6-苯基咪唑并［4,5-b］吡啶(PhIP))处进行检测。实验结果表明,9种杂环胺分离效果良好,回收率为50.27%～94.77%(n=6),相对标准偏差为0.08%～4.42%;通过全波长扫描,确定检出限(以信噪比(S/N)=3计)为1.6～41.0 μg/L。该方法操作简单,结果准确,重现性好,可用于同时检测羊肉制品中9种杂环胺的含量。     

Determination of benzo[a]pyrene in cigarette mainstream smoke by using mid-infrared spectroscopy associated with a novel chemometric algorithm

Determination of benzo[a]pyrene (BaP) in cigarette smoke can be very important for the tobacco quality control and the assessment of its harm to human health. In this study, mid-infrared spectroscopy (MIR) coupled to chemometric algorithm (DPSO-WPT-PLS), which was based on the wavelet packet transform (WPT), discrete particle swarm optimization algorithm (DPSO) and partial least squares regression (PLS), was used to quantify harmful ingredient benzo[a]pyrene in the cigarette mainstream smoke with promising result. Furthermore, the proposed method provided better performance compared to several other chemometric models, i.e., PLS, radial basis function-based PLS (RBF-PLS), PLS with stepwise regression variable selection (Stepwise-PLS) as well as WPT-PLS with informative wavelet coefficients selected by correlation coefficient test (rtest-WPT-PLS). It can be expected that the proposed strategy could become a new effective, rapid quantitative analysis technique in analyzing the harmful ingredient BaP in cigarette mainstream smoke.     

基于非手性离子液体的毛细管电泳法拆分3种手性药物

建立了以非手性离子液体1-正丁基-3-甲基咪唑氯(［BMIM］Cl)为手性分离的添加剂、β-环糊精作为手性选择剂的毛细管区带电泳(CZE)分离扑尔敏、氯霉素前体和氧氟沙星3种对映体的方法,并与未添加［BMIM］Cl的CZE分离情况进行了对比研究。发现［BMIM］Cl对手性药物的拆分有协同作用,不仅能够增加对映体的分离度,还能有效地抑制毛细管内壁对样品分子的吸附作用,改善峰形。采用离子液体辅助手性选择剂(尤其是环糊精)的CZE改进方法,为其他毛细管电泳难以分离的手性药物的分离分析提供了新的方法。     

Simple Fluorimetric Determination of Benzo[a]pyrene in Cigarette Smoke without Preseparation Procedure

Polycyclic aromatic hydrocarbons(PAHs)are important environmental pollutions originating from a wide variety of natural and anthropogenic sources.Benzo[a]pyrene is frequently sought as an indicator of the presence of other PAHs.Fluorescence spectrometry serves as a good technique to analyze PAHs with high sensitivity.However,this technique is unfavorable for the analysis of benzo[a]pyrene in multi-component PAHs because of spectral overlap.This complication can be simplified by using spec…     

UPLC‐MS/MS method for the determination of tobacco‐specific biomarker NNAL,tamoxifen and its main metabolites in rat plasma

Cigarette smoke is known to interact with tamoxifen‐metabolizing enzymes and transporters and potentially affect its treatment outcome. 4‐(N‐ nitrosomethylamino)‐1‐(3‐pyridyl)‐1‐butanol (NNAL) is an important metabolite of 4‐(methylnitro‐samino)‐1‐(3‐pyridyl)‐1‐butanone (NNK) because it is frequently used as a biomarker to assess human smoke exposure. In order to study the potential pharmacokinetic interaction between cigarette smoke and tamoxifen in rats a UPLC‐MS/MS method for the simultaneous determination of NNAL and tamoxifen along with its metabolites in rat plasma has been developed and validated. Analytes were extracted with methanol and separated on a HSS T3 column by a gradient elution with the mobile phase consisting of acetonitrile and water. The lower limits of quantitation ranged from 0.05 to 0.62 ng/mL. Precisions showed RSD <15.8% and accuracy in the range 80.6–116.0%. Mean analyte recoveries ranged from 76.9 to 108.4%. The method was successfully applied to study the effects of cigarette smoke condensate (CSC), NNK and benzo(a)pyrene pre‐treatment on the pharmacokinetics of tamoxifen and its metabolites in rats. Significant effects of CSC, NNK, benzo(a)pyrene were observed on pharmacokinetics of tamoxifen and its metabolites. We also found that plasma NNAL levels are statistically significant correlated with plasma 4‐hydroxy‐tamoxifen and endoxifen.     

超高效液相色谱-大气压化学电离-三重四极杆质谱联用法快速测定食品中苯并[a]芘

建立了快速检测食品中苯并[a]芘的超高效液相色谱-三重四极杆质谱联用(UPLC-MS/MS)分析方法。样品用正己烷提取后,经分子印迹固相萃取柱净化,以甲醇和水作为流动相进行梯度洗脱,在XBridge BEH C18柱上实现分离,大气压化学电离(APCI)-三重四极杆质谱正离子MRM方式检测,以苯并[a]芘-d12作为内标的稳定同位素稀释法定量。方法的线性范围为0.07~50μg/kg,定量限为0.07μg/kg。平均加标回收率为86%~104%,相对标准偏差为2.3%~14%。该方法灵敏、准确,适用于食品中苯并[a]芘的测定,已应用于实际样品的检查。     

Eine schnelle Bestimmungsmethode für Benzo(a)pyren,Benzo(a)anthracen und Chrysen in Zigarettenrauch

Zusammenfassung Durch zwei dünnschicht-chromatographische Trennmethoden ist eine quantitative Bestimmung der polycyklischen aromatischen Kohlenwasserstoffe (PAH) Benzo(a)pyren, Benzo(a)anthracen und Chrysen aus Zigarettenrauch innerhalb von 6–8 Stunden m?glich. Bei einer direkten in-situ Auswertung mit Chromatogramm-Spektralphotometern ergeben sich für diese PAH Wiederfindungsraten von 91–95%.

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A rapid method for the determination of benzo(a)pyrene, benzo(a)anthracene and chrysene in cigarette smoke

Summary By means of two thin-layer chromatographic methods the quantitative determination of the polycyclic aromatic hydrocarbons (PAHs) benzo(a)pyrene, benzo(a)anthracene and chrysene in cigarette smoke is possible in 6–8 hours. The recoveries of these PAHs were 91–95%. These values were found by a direct in-situ method with chromatogram-spectrophotometers.

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Anschrift: 2 Hamburg 55, Sch?ner Blick 1a

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Direktor: Prof. Dr. W. Dontenwill