固相萃取柱的制备及其与超高效液相色谱联用测定工业大麻中3种大麻酚

将中性氧化铝、硅酸镁和石墨化炭黑混合后,填加于聚丙烯管中制成固相萃取柱,对工业大麻花叶的乙酸乙酯-甲醇提取液进行了净化处理,采用超高效液相色谱法(UPLC)测定了净化液中大麻二酚(CBD)、大麻酚(CBN)和Δ9-四氢大麻酚(Δ9-THC)的含量。考察了中性氧化铝、硅酸镁和石墨化炭黑对提取液中色素、总糖、总脂肪酸酯及金属离子等杂质的吸附性能,确定了3种吸附剂的最佳配比。将自制小柱与石墨化炭黑/氨基(CARB/NH_2)柱的性能进行了对比。选择了液相色谱条件,在0.5～50 mg/L范围内,CBD,CBN,Δ9-THC的峰面积与浓度呈良好的线性关系,3种植大麻酚的检出限分别为0.45,0.53,0.38μg/L;回收率分别为94.6%～103.4%,95.7%～99.7%,97.4%～104.1%;相对标准偏差(RSD)分别为2.1%～3.6%,2.4%～4.7%,3.9%～5.4%。     

基于超高效液相色谱-质谱联用技术对大麻植物中3种成分及化学表型分析

建立了超高效液相色谱-质谱联用(UPLC/PDA-QDa)同时对大麻植物中Δ9-四氢大麻酚(Δ9-THC)、大麻酚(CBN)和大麻二酚(CBD)进行定性与定量分析的方法.缴获的大麻植物用甲醇超声萃取, 采用甲醇(含0.1%甲酸)和超纯水为流动相, 等度洗脱, 流速为0.2 mL/min, 经Waters UPLC BEH C18柱(50 mm×2.1 mm, 1.7 μm)分离, 利用光电二极管阵列检测器(PDA)在220 nm波长下检测, 并通过质谱检测器(QDa)对目标洗脱峰进行追踪确证.在0.5~20 μg/mL浓度范围内, 3种大麻酚类化合物的质量浓度与峰面积呈良好的线性关系, R≥0.999;低、中、高添加水平的平均回收率为82%~102%, 相对标准偏差(RSD)在0.4%~4.1%之间.本方法稳定、简便、灵敏, 能够满足检测需求.根据Δ9-THC、(Δ9-THC+CBN)/CBD、Δ9-THC/CBD或CBN/CBD表型指数, 区分不同产地大麻的化学表型, 为大麻植物的检测分析和质量控制提供了有效手段.     

超高效液相色谱-串联质谱法同时测定食用油中痕量的δ-9-四氢大麻酚、大麻酚和大麻二酚

建立了超高效液相色谱-串联质谱(UPLC-MS/MS)同时测定食用油中δ-9-四氢大麻酚(THC)、大麻酚(CBN)和大麻二酚(CBD)的方法。目标分析物经甲醇提取、中性氧化铝固相萃取柱净化后,采用UPLC-MS/MS分离和检测。实验以氘代四氢大麻酚(THC-D3)为内标物,采用同位素内标法定量。在3个添加水平下,目标物的平均回收率为68.0%～101.6%,相对标准偏差为7.0%～20.1%。方法检出限为0.06～0.17 μg/kg,定量限为0.20～0.52 μg/kg。该方法能够满足食用油中痕量四氢大麻酚、大麻酚和大麻二酚检测的需要。     

超高效液相色谱-质谱法同时测定大麻植物中Δ9-四氢大麻酚和Δ9-四氢大麻酚酸A北大核心CSCD

10mg样品粉末用5mL甲醇超声萃取,离心后,上清液在Waters ACQUTIY UPLC BEH C18色谱柱(2.1mm×50mm,1.7μm)上分离,以含0.1%(体积分数)甲酸的甲醇和水(体积比为87∶13)为流动相进行等度洗脱,流量为0.2mL·min-1。利用光电二极管阵列检测器在波长220nm处对Δ9-四氢大麻酚(Δ9-THC)和Δ9-四氢大麻酚酸A(Δ9-THCA-A)进行定性和定量分析,并采用质谱检测器QDa进行确证。Δ9-THC和Δ9-THCA-A的质量浓度分别在0.50~20.0mg·L-1和2.0~40.0 mg·L-1内与其峰面积呈线性关系,检出限(3S/N)分别为0.10,1.0mg·L-1。加标回收率在81.5%~97.9%之间,测定值的相对标准偏差(n=6)在0.77%~4.1%之间。采用该方法对20个大麻植物样品进行分析,由Δ9-THC和Δ9-THCA-A的测定值计算得总Δ9-THC含量略高于标准方法测定结果。     

超高效液相色谱-串联质谱法同时测定食用油中痕量的δ-9-四氢大麻酚、大麻酚和大麻二酚

建立了超高效液相色谱-串联质谱(UPLC-MS/MS)同时测定食用油中δ-9-四氢大麻酚(THC)、大麻酚(CBN)和大麻二酚(CBD)的方法。目标分析物经甲醇提取、中性氧化铝固相萃取柱净化后,采用UPLC-MS/MS分离和检测。实验以氘代四氢大麻酚(THC-D3)为内标物,采用同位素内标法定量。在3个添加水平下,目标物的平均回收率为68.0%～101.6%,相对标准偏差为7.0%～20.1%。方法检出限为0.06～0.17μg/kg,定量限为0.20～0.52μg/kg。该方法能够满足食用油中痕量四氢大麻酚、大麻酚和大麻二酚检测的需要。     

高效液相色谱检测大麻中Δ9-四氢大麻酚的分析方法研究

建立了大麻毒品中主要有效成分Δ9-四氢大麻酚的液相色谱分析方法.选择甲醇作为大麻植物或大麻树脂的提取溶剂.采用岛津ODS-SP型(150 mm×4.6 mm,5μm)色谱柱作为定量方法的标准柱,紫外检测器主定量波长为210 nm,辅定量波长为195 nm或220 nm.以水-乙腈为流动相进行梯度洗脱,流速1mL/min,柱温40℃,进样量10 μL.在优化条件下,△9-四氢大麻酚在0.5～ 100.0 mg/L范围内线性良好,外标法及内标法的相关系数(r2)均大于0.99999.方法的检出限(S/N≥3.3)和定量下限(S/N≥ 10)分别为0.12 mg/L和0.40 mg/L.用该方法检测某大麻树脂样本,△9-四氢大麻酚含量的不确定度评定结果为5.32％±0.17％,k=2.实验结果表明,该方法快速、灵敏、准确、可靠,适用于大麻植物及树脂的定量测定.     

唾液中大麻毒品液相小体积提取HPLC检测

建立了小体积液相提取HPLC测定唾液中大麻类毒品含量的方法。在pH=4缓冲溶液中,加入1mL含大麻标准品的家兔唾液试样,用0.5mL氯仿超声振荡提取5min,4000r/min离心10min,取下层液体挥干,用1mL乙腈溶解后进行HPLC分析。唾液中四氢大麻酚(THC)、大麻二酚(CBD)、大麻酚(CBN)、四氢大麻酚酸的检出限(3S/N)分别为16ng、10ng、11ng、10 ng,标准曲线线性范围分别为0.32μg/μL～3.20μg/μL、0.10μg/μL～1.00μg/μL、0.11μg～1.10μg/μL、0.20μg/μL～2.00μg/μL。平均回收率均在95%～105%之间。相对标准偏差(n=6)均在3%以内。     

毛细管气相色谱法对大麻中主要成分的定性定量分析

采用毛细管气相色谱法测定大麻中大麻酚、四氢大麻酚和大麻二酚的含量。以氯仿为提取溶剂,甲醇为色谱溶剂,用ＨＰ－５（１０ｍ×０．５３ｍｍ×２．６５μｍ）柱,以柱温２２０℃进行测定。大麻二酚、四氢大麻酚和大麻酚在２０～１２０ｍｇ／Ｌ的浓度范围内线性关系良好,ｒ分别为０．９９９４,０．９９９１和０．９９９５,回收率分别为９７．３％～１０４．０％,９７．３％～１０６．６％和９５．３％～１０２．４％,最低检测限均为０．２μｇ／ｍＬ。利用３种主要成分保留时间的良好重现性也可进行定性。方法简便、快速、准确、灵敏。     

固相萃取-高效液相色谱法测定啤酒中的黄腐酚

采用Waters Sep-Pak C18固相萃取小柱对啤酒样品进行分离纯化,建立了啤酒中黄腐酚的固相萃取-高效液相色谱检测方法。选用色谱柱Zorbax Eclipse XDB-C18柱(250 mm×4.6 mm,5 μm),以甲醇和0.1%甲酸水溶液为流动相进行梯度洗脱,柱温25 ℃,流速0.4 mL/min,检测波长370 nm。在此条件下,黄腐酚分离良好且无杂质峰干扰,在0.5～500 μg/L的范围内线性关系良好(r21),在高、中、低浓度下的加标回收率为91.21%～95.58%,相对标准偏差小于2%。方法的检出限为0.24 μg/L,定量限为0.80 μg/L。该方法简便快速、结果准确、重现性好,是检测啤酒中黄腐酚含量的有效方法。     

二阶导数同步荧光光谱法同时直接测定厚朴酚及和厚朴酚

研究了厚朴酚与和厚朴酚及其混合溶液的二阶导数同步荧光光谱,结果两者的二阶导数同步荧光光谱得到完全分离,消除了彼此间的干扰,据此建立了一种二阶导数同步荧光光谱法同时直接测定混合物中厚朴酚与和厚朴酚的新方法.厚朴酚与和厚朴酚的线性范围分别为2.8～500.0 μg/L和4.3～560.0 μg/L;检出限分别为0.84和1.30 μg/L,回收率分别为94.65%～105.58%和95.09%～104.51%; 相对标准偏差均低于4.08%.本方法用于同时直接测定厚朴药材及其提取物中厚朴酚与和厚朴酚含量,结果令人满意.     

Simultaneous quantification of cannabinoids and metabolites in oral fluid by two-dimensional gas chromatography mass spectrometry

Development and validation of a method for simultaneous identification and quantification of Δ9-tetrahydrocannabinol (THC), cannabidiol (CBD), cannabinol (CBN), and metabolites 11-hydroxy-THC (11-OH-THC) and 11-nor-9-carboxy-THC (THCCOOH) in oral fluid. Simultaneous analysis was problematic due to different physicochemical characteristics and concentration ranges. Neutral analytes, such as THC and CBD, are present in ng/mL, rather than pg/mL concentrations, as observed for the acidic THCCOOH biomarker in oral fluid. THCCOOH is not present in cannabis smoke, definitively differentiating cannabis use from passive smoke exposure. THC, 11-OH-THC, THCCOOH, CBD, and CBN quantification was achieved in a single oral fluid specimen collected with the Quantisal™ device. One mL oral fluid/buffer solution (0.25 mL oral fluid and 0.75 mL buffer) was applied to conditioned CEREX^® Polycrom™ THC solid-phase extraction (SPE) columns. After washing, THC, 11-OH-THC, CBD, and CBN were eluted with hexane/acetone/ethyl acetate (60:30:20, v/v/v), derivatized with N,O-bis-(trimethylsilyl)trifluoroacetamide and quantified by two-dimensional gas chromatography electron ionization mass spectrometry (2D-GCMS) with cold trapping. Acidic THCCOOH was separately eluted with hexane/ethyl acetate/acetic acid (75:25:2.5, v/v/v), derivatized with trifluoroacetic anhydride and hexafluoroisopropanol, and quantified by the more sensitive 2D-GCMS–electron capture negative chemical ionization (NCI-MS). Linearity was 0.5–50 ng/mL for THC, 11-OH-THC, CBD and 1–50 ng/mL for CBN. The linear dynamic range for THCCOOH was 7.5–500 pg/mL. Intra- and inter-assay imprecision as percent RSD at three concentrations across the linear dynamic range were 0.3–6.6%. Analytical recovery was within 13.8% of target. This new SPE 2D-GCMS assay achieved efficient quantification of five cannabinoids in oral fluid, including pg/mL concentrations of THCCOOH by combining differential elution, 2D-GCMS with electron ionization and negative chemical ionization. This method will be applied to quantification of cannabinoids in oral fluid specimens from individuals participating in controlled cannabis and Sativex^® (50% THC and 50% CBD) administration studies, and during cannabis withdrawal.     

Development and validation of an LC‐MS/MS method for quantification of Δ9‐tetrahydrocannabinolic acid A (THCA‐A), THC,CBN and CBD in hair

For analysis of hair samples derived from a pilot study (‘in vivo’ contamination of hair by sidestream marijuana smoke), an LC‐MS/MS method was developed and validated for the simultaneous quantification of Δ9‐tetrahydrocannabinolic acid A (THCA‐A), Δ9‐tetrahydrocannabinol (THC), cannabinol (CBN) and cannabidiol (CBD). Hair samples were extracted in methanol for 4 h under occasional shaking at room temperature, after adding THC‐D₃, CBN‐D₃, CBD‐D₃ and THCA‐A‐D₃ as an in‐house synthesized internal standard. The analytes were separated by gradient elution on a Luna C18 column using 0.1% HCOOH and ACN + 0.1% HCOOH. Data acquisition was performed on a QTrap 4000 in electrospray ionization‐multi reaction monitoring mode. Validation was carried out according to the guidelines of the German Society of Toxicological and Forensic Chemistry (GTFCh). Limit of detection and lower limit of quantification were 2.5 pg/mg for THCA‐A and 20 pg/mg for THC, CBN and CBD. A linear calibration model was applicable for all analytes over a range of 2.5 pg/mg or 20 pg/mg to 1000 pg/mg, using a weighting factor 1/x. Selectivity was shown for 12 blank hair samples from different sources. Accuracy and precision data were within the required limits for all analytes (bias between ?0.2% and 6.4%, RSD between 3.7% and 11.5%). The dried hair extracts were stable over a time period of one to five days in the dark at room temperature. Processed sample stability (maximum decrease of analyte peak area below 25%) was considerably enhanced by adding 0.25% lecithin (w/v) in ACN + 0.1% HCOOH for reconstitution. Extraction efficiency for CBD was generally very low using methanol extraction. Hence, for effective extraction of CBD alkaline hydrolysis is recommended. Copyright © 2013 John Wiley & Sons, Ltd.     

Comprehensive classification of USA cannabis samples based on chemical profiles of major cannabinoids and terpenoids

Abstract

Different USA-origin cannabis samples were analyzed by GC-FID to quantify all possible cannabinoids and terpenoids prior to their clustering. Chromatographic analysis confirmed the presence of seven cannabinoids and sixteen terpenoids with variable levels. Among tested cannabinoids, Δ⁹-Tetrahydrocannabinol Δ⁹-THC and cannabinol CBN were available in excess amounts (1.2–8.0?wt%) and (0.22–1.1?wt%), respectively. Fenchol was the most abundant terpenoid with a range of (0.03–1.0?wt%). The measured chemical profile was used to cluster 23 USA states and to group plant samples using different unsupervised multivariate statistical tools. Clustering of plant samples and states was sensitive to the selected cannabinoids/terpenoids. Principal component analysis (PCA) indicated the importance of Δ⁹-THC, CBN, CBG, CBC, THCV, Δ⁸-THC, CBL, and fenchol for samples clustering. Δ⁹-THC was significant to separate California-origin samples while CBN and fenchol were dominant to separate Oregon-origin samples away from the rest of cannabis samples. A special PCA analysis was performed on cannabinoids after excluding Δ⁹-THC (due to its high variability in the same plant) and CBN (as a degradation byproduct for THC). Results indicated that CBL and Δ⁸-THC were necessary to separate Nevada and Washington samples, while, CBC was necessary to isolate Oregon and Illinois plant samples. PCA based on terpenoids content confirmed the significance of caryophyllene, guaiol, limonene, linalool, and fenchol for clustering target. Fenchol played a major role for clustering plant samples that originated from Washington and Nevada. k-means method was more flexible than PCA and generated three different classes; samples obtained from Oregon and California in comparison to the rest of other samples were obviously separated alone, which attributed to their unique chemical profile. Finally, both PCA and k-means were useful and quick guides for cannabis clustering based on their chemical profile. Thus, less effort, time, and materials will be consumed in addition to decreasing operational conditions for cannabis clustering.     

四氮杂杯[2]芳烃[2]三嗪键合硅胶固相萃取-高效液相色谱法测定河水中硝基苯酚和己烯雌酚

基于四氮杂杯[2]芳烃[2]三嗪键合硅胶吸附剂（NC-Si）,构建了固相萃取-高效液相色谱法同时测定河水中3种硝基苯酚和己烯雌酚的新方法。考察并获得了固相萃取和液相色谱分离的优化条件：将样品溶液pH调至5,以5 mL/min上样,经自制固相萃取柱净化,2 mL氨水-甲醇（2：98,v/v）洗脱;在C8柱上以甲醇-0.1%磷酸溶液为流动相进行梯度洗脱。4种目标分析物的检出限（LOD,S/N=3）为0.03~0.3 μg/L,定量限（LOQ,S/N=10）为0.1~1.0 μg/L;加标回收率为75.5%~104.2%,相对标准偏差（RSD,n=5）小于6.3%。该方法准确、可靠,可用于河水中硝基苯酚及己烯雌酚的灵敏检测。     

固相萃取/超高压液相色谱-质谱/质谱联用技术测定土壤与灌溉水中的矮壮素及缩节胺

采用固相萃取技术对土壤和灌溉用水中的矮壮素及缩节胺进行富集处理,并对固相萃取柱的类型和淋洗条件进行优化,采用超高压液相色谱-质谱/质谱联用技术对富集样品进行分离检测.结果表明,灌溉水中矮壮素和缩节胺的加标水平为0.05、0.10、0.20μg/L时,回收率分别为73%～83%和76%～81%,相对标准偏差分别为9.2%...     

高效液相色谱-三重四极杆质谱法测定克氏原螯虾中二甲戊灵残留

建立了高效液相色谱-三重四极杆质谱（HPLC-MS/MS）测定克氏原螯虾中二甲戊灵残留的分析方法。用含0.1%（v/v）乙酸的乙酸乙酯溶液提取克氏原螯虾中的二甲戊灵,于35℃旋蒸至干,经含0.1%（v/v）乙酸的甲醇-水（8∶2,v/v）溶解残渣后,用酸性氧化铝柱、石墨化炭黑（GCB）进行净化。采用Symmetry C18色谱柱（100 mm×2.1 mm,3.5 μm）进行分离,用加热大气压电喷雾电离（HESI）源、正离子模式进行扫描,在多反应监测模式（MRM）下检测。结果表明,二甲戊灵在1.0~20.0 μg/L范围内线性良好,相关系数为0.9960,检出限为0.2 μg/kg;二甲戊灵的加标回收率为63.3%~104.7%,精密度为6.9%~14.5%（n=7）。该方法简单、快速、灵敏度高,能够满足克氏原螯虾中二甲戊灵药物残留检测的需求。     

超高效液相色谱-三重四极杆/复合线性离子阱质谱法同时快速测定血浆和尿液中84种有毒植物成分

采用超高效液相色谱-三重四极杆/复合线性离子阱的质谱联用技术,建立了同时快速测定血浆和尿液中84种有毒植物成分的方法。血浆样品经乙腈沉淀去蛋白和除磷脂、尿液样品经甲醇稀释后直接进样,以含0.1%（体积分数,下同）甲酸和2 mmol/L甲酸铵的97%乙腈水溶液、含0.1%甲酸的2 mmol/L甲酸铵水溶液作为流动相进行梯度洗脱,在Acquity BEH C₁₈色谱柱上实现分离,在电喷雾正离子多离子监测触发的增强子离子扫描（MRM-IDA-EPI）模式下检测,基质工作曲线内标法定量。血浆和尿液中84种待测物在相应的浓度范围内线性关系良好,相关系数均大于或等于0.9911,血浆和尿液中的检出限（S/N=3）分别为0.01~1和0.03~2 μg/L,准确度（平均加标回收率）为70.6%~124.5%,日内和日间精密度分别为0.7%~18.4%和1.1%~18.5%。该法简单、快速、灵敏、准确,可用于血浆和尿液中84种有毒植物成分的中毒检测。     

固相萃取法与基质固相分散法在橙子中有机磷农药残留分析中的应用

建立了固相萃取(SPE)-反相高效液相色谱(RP-HPLC)同时测定橙子中痕量辛硫磷、二嗪农有机磷农药残留量的方法。样品经甲醇超声提取、C18固相萃取柱净化后,采用液相色谱柱分离,以乙腈-水(体积比为85∶15)为流动相等度洗脱,于254 nm下紫外检测。结果表明:在0.1～10.0 mg/L和0.4～10.0 mg/L范围内,辛硫磷、二嗪农的质量浓度与峰面积呈良好的线性关系;样品的加标平均回收率为87.3%～102.7%,相对标准偏差(RSD)为0.9%～4.9%。将该分析结果与用基质固相分散法(MSPD)处理样品所得的结果相比较,发现SPE对二嗪农的提取效果较好,而MSPD对辛硫磷的提取效果较好,但两种方法都能较好地净化样品,均能满足残留量的分析要求。