固相萃取-液相色谱-串联质谱法同时测定尿液中9种多环芳烃代谢物

建立了固相萃取-液相色谱-串联质谱同时测定尿中2-羟基萘、1-羟基萘、2-羟基芴、3-羟基菲、1-羟基芘等9种多环芳烃代谢物的液相色谱-串联质谱测定方法。尿样中结合态的多环芳烃代谢物在β-葡萄糖苷酸酶-芳基硫酸酯酶缓冲液(pH 5.0)作用下,于37℃水浴中避光水解4 h后,以C18固相萃取小柱富集、净化,以甲醇洗脱,采用Waters Symmetry C18色谱柱,流动相为乙腈-0.2%氨水(72∶27,V/V)等度淋洗分离后进入质谱测定。在喷雾电压4 kV,毛细管温度300℃下,以3-羟基菲13C为内标,采用SRM模式负离子扫描方式测定,内标法定量。9种多环芳烃代谢物在尿中的线性范围为0.90～100μg/L;相关系数为0.9970～0.9990;回收率为79.0%～119.8%;相对标准偏差为4.3%～12.4%;检出限为0.04～0.90μg/L;结果表明,本方法可用于尿中9种多环芳烃代谢物的测定。     

GC–MS法同时测定聚氨酯塑胶跑道中16种多环芳烃

建立气相色谱–质谱法同时测定聚氨酯塑胶跑道中16种多环芳烃如萘、苊、二氢苊、芴、菲、蒽、荧蒽、苯并[b]荧蒽、芘、苯并[a]蒽、屈、苯并[k]荧蒽、苯并[a]芘、茚并[1,2,3-cd]芘、1-甲基奈、2-甲基萘的检测方法。样品采用甲苯为提取剂,经超声提取和硅胶柱净化后,用气相色谱–质谱法测定16种多环芳烃残留量。16种多环芳烃的质量浓度在0.2~10.0 mg/kg范围内与色谱峰面积呈良好的线性,线性相关系数r20.998,检出限为5.0~60.0μg/kg。回收率为72.4%~101.6%,测定结果的相对标准偏差为0.9%~7.2%(n=6)。该方法准确度高、精密度好,适用于聚氨酯塑胶跑道中多环芳烃多残留检测。     

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。     

固相支撑液液萃取结合超高效液相色谱-串联质谱法同时测定尿液中7种多环芳烃代谢物

建立了固相支撑液液萃取法(SLE)结合超高效液相色谱-串联质谱法(UPLC-MS/MS)测定尿液中1-羟基萘、2-羟基萘、2-羟基芴、9-羟基芴、2-羟基菲、9-羟基菲和1-羟基芘7种羟基多环芳烃(OH-PAHs)的方法。实验将0.8 mL尿液酶解液经SLE萃取,考察了洗脱溶剂种类及体积的影响,并对氮吹浓缩压力进行了优化。尿液样品使用6 mL乙酸乙酯洗脱,洗脱液在48 kPa(25℃)压力下氮吹至干后,经UPLC-MS/MS对7种OH-PAHs进行分析,采用同位素内标法定量。方法在0.3～3 000 mg·L~(-1)范围内线性关系良好(r≥0.995 1),检出限和定量下限分别为0.05～1.0 mg·L~(-1)和0.15～3.0 mg·L~(-1)。加标3个浓度水平的回收率为70.8%～117%,日内(n=3)和日间(n=3)相对标准偏差分别为3.7%～9.6%和3.7%～11%。采用本方法对10例石油工人和10例对照人群(在校大学生)尿液中的OH-PAHs水平进行分析,除2-羟基菲和9-羟基菲外,其余5种OH-PAHs在石油工人尿液中的含量均高于对照人群(p0.05),差异具有统计学意义。该方法经上样和洗脱两步完成样品前处理,简单高效,可用于尿液样品中OH-PAHs的分析。     

表面辅助激光解吸电离-飞行时间质谱中多聚体离子产生规律的研究

表面辅助激光解吸电离质谱(SALDI-MS)已经成为固态、液态样品分析的重要手段,并且分析对象逐渐由生物大分子扩展到小分子.然而,对小分子电离微观反应机理的研究仍处于起步阶段.本研究选择3种分子结构相似的稠环芳烃化合物芘、六苯并苯、红荧烯作为研究对象,考察了这3种化合物激光电离产物的差异,并研究了激光能量对六苯并苯产物离子分布的影响.结果表明,观察到芘、六苯并苯多聚体离子产物,还观测到了六苯并苯失去C2H2的碎片离子峰;而没有观测到明显的红荧烯聚合物离子产物,只观测到了大量失去C6H5的碎片离子峰.最后,对3种不同化合物的激光电离微观机理进行了分析.由于芘、六苯并苯具有平面大π键,分子间的π-π键相互作用是产生多聚体离子的主要原因;而红荧烯的空间位阻削弱了分子间相互作用,从而阻碍了多聚体离子的形成.     

超高效合相色谱快速分析塑料制品中的18种多环芳烃

建立了一种超高效合相色谱-二极管阵列检测器快速分析塑料制品中萘、苊烯、苊、芴、菲、蒽、荧蒽、芘、苯并(a)蒽、(屈艹) 、苯并(b)荧蒽、苯并(k)荧蒽、苯并(j)荧蒽、苯并(e)芘、苯并(a)芘、茚并(1,2,3-cd)芘、二苯并(a,h)蒽、苯并(g,h,i)苝(二萘嵌苯)的方法。以甲苯为溶剂,超声萃取实际塑料制品中的多环芳烃,经超高效合相色谱分析。采用Daicel IB-3手性色谱柱,以CO₂为流动相,甲醇/乙腈(25:75, v/v)为流动相助溶剂,在柱温为40 ℃,背压为15.17 MPa的条件下,18种多环芳烃在8.5 min之内实现基线分离。18种多环芳烃的线性范围为0.05~50 mg/L(r≥0.9995),定量限(S/N> 10)为0.05 mg/L。加标回收率为78.3%~117.6%,相对标准偏差(RSD, n=5)小于5%。该方法具有分析速度快、分离效率高、节约有机溶剂的优点。     

气相色谱质谱法测定化妆品中9种多环芳烃

建立了气相色谱质谱法测定化妆品中9种多环芳烃的分析方法。化妆品中的萘、苯并[a]蒽、、苯并[b]荧蒽、苯并[j]荧蒽、苯并[k]荧蒽、苯并[e]芘、苯并[a]芘、二苯并[a,h]蒽等9种多环芳烃用甲醇超声提取后,用环己烷液-液萃取后浓缩,经硅胶-中性氧化铝柱净化后,采用气相色谱-质谱测定。多环芳烃浓度在0.05～2 mg/L范围内,质量浓度与其峰面积呈良好的线性关系。在低、中、高3个添加水平下,9种多环芳烃化合物的平均回收率为81.6%～100.2%,相对标准偏差为1.3%～5.8%。方法可用于化妆品中多环芳烃的检测。     

在线固相萃取-高效液相色谱法同时测定人尿液中7种多环芳烃代谢物

采用双三元液相色谱系统结合荧光检测器,建立了在线固相萃取-液相色谱法同时测定人尿液中7种多环芳烃代谢物的方法。目标化合物首先在Turboflow Cyclone固相萃取柱上在线富集浓缩,然后通过六通阀转移至Hypersil Green PAH色谱柱,以乙腈-水为流动相进行梯度洗脱分离,流速1.0 mL/min,柱温30℃,荧光检测器检测,分离周期为20 min。在优化的色谱条件下,5~2000 ng/L或50~20000 ng/L范围内,7种多环芳烃代谢物均呈良好的线性关系(r≥0.999),方法检出限为0.5~15 ng/L,加标回收率为80.7％~110.7％。应用本方法对吸烟和非吸烟人群尿液中7种多环芳烃代谢物的含量进行了测定,吸烟者尿液中的2-羟基萘、1-羟基萘、2-羟基菲、2-羟基芴、4-羟基菲、6-羟基显著高于非吸烟者。     

电喷雾萃取电离质谱法检测1-羟基芘

采用电喷雾萃取电离质谱(EESI-MS)分析致癌性环境有机污染物多环芳烃(PAHs)生物标志物1-羟基芘(1-OHP),探究1-OHP在EESI源中电离的可行性,考察ESI溶剂和样品溶液组成对方法灵敏度的影响,初步建立I-OHP的EESI MS半定量分析方法.结果表明,溶液中1-OHP能够在EES1源中有效电离,生成准分子离子[M-H]- (m/z 217),并得到其二级质谱特征碎片离子[M- H- CO]- (m/z 189);水、甲醇、乙醇、正丙醇和正丁醇5种ESI溶剂中,使用甲醇时,离子峰m/z 217信噪比最大.样品溶液中甲醇含量越高,离子峰m/z 217强度越强.离子峰m/z 217强度与1-OHP浓度在10～200 μg/L内的线性相关性相对最好;相关系数(R)0.982;相对标准偏差(RSD)为3.4％～14.0％(n=5);定量下限约为10 μg/L(S/N=10);单次检测时间小于0.5 min.     

固相膜萃取-超高效液相色谱-荧光法测定极地水体中多环芳烃

采用C<,18>固相膜萃取对样品进行富集净化,以二氯甲烷洗脱目标化合物,采用UPLC荧光可变波长进行分离分析.可在5min内实现15种多环芳烃分析,方法检出限分别为:萘为0.3ng/L,苊、芴、菲和苯并(a)蒽为0.26ng/L,蒽、荧蒽、苯并(b)荧蒽和茚并(1,2,3-cd)芘为0.28ng/L;芘、屈、苯并(k)荧蒽、苯并(a)芘和二苯并(a,h)蒽为0.24ng/L;苯并(g,h,i)苝为2.6ng/L.加标回收率在67%～87%之间,RSD均小于10%.可应用于极地环境中痕量多环芳烃样品的检测分析.     

Source Apportionment Research of Fine Particulate Matter in the Atmosphere by PAHs

Haze weather frequently occurs in many cities in China. Polycyclic aromatic hydrocarbons(PAHs) in fine particulate matter(PM_2.5) can adversely affect the environment and human health. In this paper, PM_2.5 samples were collected at nine sites in a city in northeastern China from September 2013 to October 2014. Sixteen USEPA(US Evironment Protection Agency) priority PAHs in PM_2.5 were analyzed to determine their spatial and temporal distribution characteristics. The source apportionment of PAHs was conducted with the Positive Matrix Factorization(PMF) model. The results indicate that the concentrations of total PAHs(T-PAHs) in PM_2.5 are within the range of 0.26 to 72.48 ng/m³. The seasonal variation of T-PAHs is winter >spring >autumn >summer, and the space distribution of PAHs is JZP >DP >BFH >LP >EESA >IPT >CP >HZMC >JYP. In all types of PAHs, three-ring and five-ring PAHs are significantly prominent(62%) in the heating period due to petrogenic sources and traffic emissions. Middle- and high-ring PAHs in the non-heating period are caused by coal combustion and vehicle exhaust, which accounts for 77% of the total emissions. The source apportionment results obtained by the diagnostic ratio of PAHs reflect that coal burning, traffic and other sources have a distinct influence on PAH emissions in this city. Six factors are defined by PMF v5.0, namely, coke oven emissions(7.7%), biomass burning(44.3%), petrogenic sources(10.7%), coal combustion(10.4%), gasoline engine emissions(16.7%), and diesel engine emissions(10.3%). The results indicate that the PAHs in PM_2.5 in the city are primarily caused by combustion processes and vehicle exhaust.     

Determination of hydroxylated metabolites of polycyclic aromatic hydrocarbons in human hair by gas chromatography–negative chemical ionization mass spectrometry

The study describes the determination of mono-hydroxylated polycyclic aromatic hydrocarbons (OH-PAHs), metabolites of PAHs, in human hair. Twelve selected OH-PAHs from two to four rings, generally determined in urine analysis, were investigated as markers of human exposure to PAHs. Following hydrolysis of hair specimens of 50–300 mg with 1 M NaOH, OH-PAHs were extracted using dichloromethane and submitted to an optimized derivatization with (2S,4R)-N-heptafluorobutyryl-4-heptafluorobutoyloxy-prolyl chloride. Compounds were then analyzed using gas chromatography–negative chemical ionization mass spectrometry (GC–NCIMS). The average inter-day and intra-day variability was 12% and 17%, respectively. The average recovery was 52% and the limits of detection and quantification ranged from 20 and 66 pmol/g for 1-OH-phenanthrene (i.e., 3.9 and 12.8 pg/mg) to 311 and 1030 pmol/g for 2-OH-benzo(c)phenanthrene (i.e., 75.9 and 251 pg/mg). The influence of hair washing with water as decontamination step, and enzymatic treatment (β-glucuronidase) to hydrolyze conjugated derivatives were also tested. The application of the developed method to the analysis of 30 hair specimens (17 from non-smoker and 13 from smoker volunteers) demonstrated inter-individual qualitative and quantitative variations. According to the easiness of hair sampling and based on the extended detection windows provided by hair analysis, this method is proposed as a new promising tool for the assessment of human chronic exposure to PAHs.     

In-tube silylation in combination with thermal desorption gas chromatography-mass spectrometry for the determination of hydroxy polycyclic aromatic hydrocarbons in water

For the determination of hydroxy polycyclic aromatic hydrocarbons (OH-PAHs), a simple and sensitive method based on the silylation of OH-PAHs using N,O-bis(trimethylsilyl)trifluoro acetamide (BSTFA) in combination with thermal desorption gas chromatography-mass spectrometry (TD-GC-MS) is described. This method was performed by way of direct silylation in a TD unit (in-tube silylation) coupled to a GC inlet. Both a good detection limit (4.1-1200 pg L⁻¹, S/N = 3) and higher precision (relative standard deviation < 4% on average) were achieved for 21 OH-PAHs studied using the full scan mode (m/z = 40-550). These good results were due to the highly efficient derivatization of the OH-PAHs, which was attributed to not only the moisture-free environment and programmable heating in the TD tube for the in-tube silylation, but also to the constant vapor generation of BSTFA using a capillary introduction method. Although recoveries of 21 OH-PAHs from the spiked 3% NaCl solution ranged between 9 and 304%, those of 11 OH-PAHs fell between 70 and 130% (R.S.D. < 11%). Thus, the present method was applied to a seawater sample collected from an industrial port, and nine OH-PAHs including 1- and 2-OH-fluorenone and 1,8- and 2,6-OH-anthraquinone were determined at concentrations of 0.49-5.8 ng L⁻¹. Along with these OH-PAHs, significant amounts of several long chain fatty acids (C₁₂, C₁₆, C₁₈, C₂₀ and C₂₂) and bisphenol A were also identified in the seawater sample using reference data in a library of mass spectra (match factor: >80%).     

Fluorescence optosensor using an artificial neural network for screening of polycyclic aromatic hydrocarbons

This paper presents an optosensor for screening of four polycyclic aromatic hydrocarbons: anthracene (ANT), benzo[a]pyrene (BaP), fluoranthene (FLT), and benzo[b]fluoranthene (Bbf) using a photomultiplier device with an artificial neural network as transducer. The optosensor is based on the on-line immobilization on a non-ionic resin (Amberlite XAD-4) solid support in a continuous flow. The determination was performed in 15 mM H₂PO₄⁻/HPO₄²⁻ buffer solution at pH 7 and 25% of 1,4-dioxane. Feed forward neural networks (multiplayer perceptron) have been trained to quantify the considered Polycyclic aromatic hydrocarbons (PAHs) in mixtures under optimal conditions. The optosensor proposed was also applied satisfactorily to the determination of the considered PAHs in water samples in presence of the other 12 EPA–PAHs.     

Highly sensitive routine method for urinary 3-hydroxybenzo[a]pyrene quantitation using liquid chromatography-fluorescence detection and automated off-line solid phase extraction

Many workers and also the general population are exposed to polycyclic aromatic hydrocarbons (PAHs), and benzo[a]pyrene (BaP) was recently classified as carcinogenic for humans (group 1) by the International Agency for Research on Cancer. Biomonitoring of PAHs exposure is usually performed by urinary 1-hydroxypyrene (1-OHP) analysis. 1-OHP is a metabolite of pyrene, a non-carcinogenic PAH. In this work, we developed a very simple but highly sensitive analytical method of quantifying one urinary metabolite of BaP, 3-hydroxybenzo[a]pyrene (3-OHBaP), to evaluate carcinogenic PAHs exposure. After hydrolysis of 10 mL urine for two hours and concentration by automated off-line solid phase extraction, the sample was injected in a column-switching high-performance liquid chromatography fluorescence detection system. The limit of quantification was 0.2 pmol L(-1) (0.05 ng L(-1)) and the limit of detection was estimated at 0.07 pmol L(-1) (0.02 ng L(-1)). Linearity was established for 3-OHBaP concentrations ranging from 0.4 to 74.5 pmol L(-1) (0.1 to 20 ng L(-1)). Relative within-day standard deviation was less than 3% and relative between-day standard deviation was less than 4%. In non-occupationally exposed subjects, median concentrations for smokers compared with non-smokers were 3.5 times higher for 1-OHP (p<0.001) and 2 times higher for 3-OHBaP (p<0.05). The two urinary biomarkers were correlated in smokers (ρ=0.636; p<0.05; n=10) but not in non-smokers (ρ=0.09; p>0.05; n=21).     

超声提取-气相色谱/质谱法测定皮革及纺织品中18种多环芳烃

采用超声波萃取技术对样品进行提取,气相色谱联用质谱(GC-MS)选择离子监测(SIM)模式采集数据,建立了皮革及纺织品中18种多环芳烃(PAHs)的分析方法.对色谱、质谱分析条件以及样品前处理条件进行研究与优化.在最优条件下,18种PAHs浓度在一定范围内与其峰面积呈现良好的线性关系,相关系数(R2)为0.9991～0...     

色谱质谱中的选择离子监测方式定量分析柴油机排气微粒中多环芳香烃

使用色谱－质谱联用中的选择离子监测的方法选择性地检测柴油机排气中的多环芳香烃,采用１４种多环芳香烃混合标准样品绘制校正曲线,以外标法对柴油机排气微粒中的ＰＡＨｓ进行定量分析。实验结果表明,该方法能够减少其它类有机成份的干扰,快速、准确地测量柴油机排气微粒中多环芳香烃的含量,且重复性较好,相对标准偏差低于 １２％（ｎ＝６）,检出限为３．５～７．０ｐｇ／ｍ３,样品的回收率为７９％～８９％,方法用于柴油机排气微粒中多环芳香烃排放量的测定取得了满意的效果。     

Electron transfer of quinone self-assembled monolayers on a gold electrode

Dialkyl disulfide-linked naphthoquinone, (NQ-C_n-S)₂, and anthraquinone, (AQ-C_n-S)₂, derivatives with different spacer alkyl chains (C_n: n = 2, 6, 12) were synthesized and these quinone derivatives were self-assembled on a gold electrode. The formation of self-assembled monolayers (SAMs) of these derivatives on a gold electrode was confirmed by infrared reflection-absorption spectroscopy (IR-RAS). Electron transfer between the derivatives and the gold electrode was studied by cyclic voltammetry. On the cyclic voltammogram a reversible redox reaction between quinone (Q) and hydroquinone (QH₂) was clearly observed under an aqueous condition. The formal potentials for NQ and AQ derivatives were −0.48 and −0.58 V, respectively, that did not depend on the spacer length. The oxidation and reduction peak currents were strongly dependent on the spacer alkyl chain length. The redox behavior of quinone derivatives depended on the pH condition of the buffer solution. The pH dependence was in agreement with a theoretical value of E_1/2 (mV) = E′ − 59pH for 2H⁺/2e⁻ process in the pH range 3–11. In the range higher than pH 11, the value was estimated with E_1/2 (mV) = E′ − 30pH , which may correspond to H⁺/2e⁻ process. The tunneling barrier coefficients (β) for NQ and AQ SAMs were determined to be 0.12 and 0.73 per methylene group (CH₂), respectively. Comparison of the structures and the alkyl chain length of quinones derivatives on these electron transfers on the electrode is made.     

STUDIES ON SOME INTERMEDIATES AND PRODUCTS OF THE PHOTOREDUCTION OF 9,10-ANTHRAQUINONE *,†

Abstract— The mechanism of the photoreduction of 9,10-anthraquinone (AQ) in alcohol and hexane has been studied by flash photolysis. The fluorescence spectrum of the photoproduct, 9,10-dihydroxy anthracene shows a large shift between hexane and ethanol. The quantum yields of photoreduction for AQ are solvent-dependent, the reaction between the solvent radical and AQ determining the quantum yield.
The absorption spectrum of the 9,10-anthrasemiquinone (AQH.) has a long-wavelength absorption band with peaks at 631 and 678 nm. The second-order decay constants for AQH. were estimated to be 1.3 × 10⁹, 6.7 × 10⁸ and 2.0 × 10⁸ M ^-1 sec^-1 in ethanol, 2-propanol and ethylene glycol, respectively.
A long-wavelength absorption band was observed for 9,10-anthrasemiquinone radical anion, having peaks at 776 and 860 nm; epsi;_max= 1900 at 776 nm. This spectrum is compared with the spectra of 9,10-dihydroxy anthracene mono- and di-anions. The 9,10-anthrasemiquinone radical anion was found to photoreduce quantitatively to 9,10-dihydroxy anthracene mono-anion with a quantum yield of 0.1.