Determination of 14 Organophosphorus Pesticide Residues in Mutton by Gel Permeation Chromatography-Gas Chromatography-Mass Spectrometry(GPC-GC-MS)

[Objectives]This study was conducted to purify mutton samples by gel permeation chromatography(GPC).[Methods]Fourteen organophosphorus pesticide residues in samples were qualitatively and quantitatively analyzed by gas chromatography-mass spectrometry(GC-MS)in selective ion scanning mode(SIM).[Results]The organophosphorus pesticide standard solutions showed good linearity in the mass concentration range of 0.1-10.0μg/ml with correlation coefficients(r)not lower than 0.999,and the detection limits(S=3 N)ranged from 0.01 to 0.05 mg/kg.The average recovery values were in the range of 80.2%-99.7%,with relative standard deviations(RSDs,n=3)in the range of 1.8%-6.3%,at the addition levels of 0.5,1.0 and 2.0 mg/kg.[Conclusions]The method is simple,sensitive and accurate,and can be used for the determination of organophosphorus pesticide residues in mutton.

Stepped-up development of accelerator mass spectrometry method for the detection of ^(60)Fe with the HI-13 tandem accelerator

The Moon provides a unique environment for investigating nearby astrophysical events such as supernovae.Lunar samples retain valuable information from these events,via detectable long-lived“fingerprint”radionuclides such as^(60)Fe.In this work,we stepped up the development of an accelerator mass spectrometry(AMS)method for detecting^(60)Fe using the HI-13tandem accelerator at the China Institute of Atomic Energy(CIAE).Since interferences could not be sufficiently removed solely with the existing magnetic systems of the tandem accelerator and the following Q3D magnetic spectrograph,a Wien filter with a maximum voltage of±60 kV and a maximum magnetic field of 0.3 T was installed after the accelerator magnetic systems to lower the detection background for the low abundance nuclide^(60)Fe.A 1μm thick Si_(3)N_(4) foil was installed in front of the Q3D as an energy degrader.For particle detection,a multi-anode gas ionization chamber was mounted at the center of the focal plane of the spectrograph.Finally,an^(60)Fe sample with an abundance of 1.125×10^(-10)was used to test the new AMS system.These results indicate that^(60)Fe can be clearly distinguished from the isobar^(60)Ni.The sensitivity was assessed to be better than 4.3×10^(-14)based on blank sample measurements lasting 5.8 h,and the sensitivity could,in principle,be expected to be approximately 2.5×10^(-15)when the data were accumulated for 100 h,which is feasible for future lunar sample measurements because the main contaminants were sufficiently separated.

Determination of Ten Kinds of Alpha-2 Agonists Residues in Animal Derived Food by UHPLC-Triple Quadrupole/Composite Linear Ion Trap Mass Spectrometry

[Objectives]The paper was to establish an ultra high performance liquid chromatography-quadrupole/linear ion trap complex mass spectrometry for the determination of 10 kinds ofα2-receptor agonists in animal derived food.[Methods]The samples were extracted with sodium carbonate buffer solution and ethyl acetate,and analyzed by mass spectrometry after solid phase extraction and high performance liquid chromatography separation.[Results]Ten kinds ofα2-receptor agonists showed a good linear relationship in the range of 1-100μg/mL,with the average recovery of over 69%and the relative standard deviation less than 8.32%.The detection limit of 10 kinds of α_(2)-receptor agonists was up to 1μg/kg.[Conclusions]The method has good selectivity and strong anti-interference ability,and can meet the requirements of 10 kinds ofα2-receptor agonists residues in animal derived food.

Research on the Upper Limit of Accuracy for Predicting Theoretical Tandem Mass Spectrometry

In recent years, numerous theoretical tandem mass spectrometry prediction methods have been proposed, yet a systematic study and evaluation of their theoretical accuracy limits have not been conducted. If the accuracy of current methods approaches this limit, further exploration of new prediction techniques may become redundant. Conversely, a need for more precise prediction methods or models may be indicated. In this study, we have experimentally analyzed the limits of accuracy at different numbers of ions and parameters using repeated spectral pairs and integrating various similarity metrics. Results show significant achievements in accuracy for backbone ion methods with room for improvement. In contrast, full-spectrum prediction methods exhibit greater potential relative to the theoretical accuracy limit. Additionally, findings highlight the significant impact of normalized collision energy and instrument type on prediction accuracy, underscoring the importance of considering these factors in future theoretical tandem mass spectrometry predictions.

Psychological Consequences of a Mass Attack Following Multiple Gunshots and Explosions among Victims in a State in Southwest Nigeria

Introduction: On the 5th of June 2022, an incident of a mass attack following multiple gunshots and explosions occurred in a community in Ondo State Nigeria. This study aims to assess the mental health status of victims of the mass attack to guide further interventions among them. Methods: A cross-sectional study was conducted among victims of a mass attack in Owo community, Ondo State. A total of 209 affected victims were interviewed on socio-demographic characteristics, symptoms of anxiety (AD) and post-traumatic stress disorder (PTSD), threat experienced, and mental health support received. A 7-item Generalized Anxiety Disorder (GAD-7) and 9-item Post Traumatic Stress Disorder (PTSD) scale were used to assess the mental health status of the victims. A point was assigned to respondents who reported the symptoms of GAD, with a maximum score of 7 attained. For GAD, scores were categorized as follows: 1 - 2 as mild, 2 - 3 as minimal, 4 - 5 as moderate and 6 - 7 as severe. The PTSD symptoms were rated using a 5-point Likert scale response, and assigned the following points;4 = extremely, 3 = quite a bit, 2 = moderate, 1 = a little bit and 0 = not at all. From a maximum score of 36, participants with scores 18 and above were categorized as those with provisional PTSD. The independent samples t-test and correlational analysis were used to determine the association between PTSD score and other independent variables, with an alpha level of significance set at 0.05. Results: Generally, 38 (18.2%) of the respondents had severe AD. About half (89;42.6%) were categorized as those with provisional PTSD. The mean level of both AD (3.40 ± 2.26) and PTSD (16.51 ± 7.63) score is higher among those who were married compared to those not married (anxiety disorder;2.52 ± 2.20, P = 0.005 and PTSD;13.20 ± 8.86, P = 0.004). Respondents who have been counseled by a healthcare worker had a higher mean level (15.89 ± 7.58) of provisional PTSD compared to those not counseled by a healthcare worker (13.56 ± 9.22, P = 0.046). The level of PTSD score increased with a higher age group (r = 0.21, P = 0.003). Conclusions: The results show that the mass attack had psychological consequences among a high proportion of the victims, particularly, those married and in the older age groups. This suggests the need for continuous supportive counseling targeting these affected groups, and considering other factors moderating the effectiveness of counseling among them in future interventions.

Application of Mass Spectrometry (MS)-coupled Techniques in Pesticide Residue Detection

Pesticide residue detection is an important work to ensure the quality safety of agricultural products.In the process of agricultural production,in order to prevent and control agricultural diseases and pests,a certain amount of pesticides need to be used.However,if pesticides are used excessively,there will be certain pesticide residues in crops and related products.Therefore,it is necessary to do a good job in pesticide residue detection.The gas chromatography-mass spectrometry(GC-MS)and liquid chromatography-mass spectrometry(LC-MS)detection methods have good results and can effectively detect pesticide residues in related products.This paper reviewed and analyzed the application of GC-MS and LC-MS in pesticide residue detection,and proposed optimization measures based on practical experience,hoping to provide reference for relevant scholars.

Intelligent geochemical interpretation of mass chromatograms:Based on convolution neural network

Gas chromatography-mass spectrometry(GC-MS)is an extremely important analytical technique that is widely used in organic geochemistry.It is the only approach to capture biomarker features of organic matter and provides the key evidence for oil-source correlation and thermal maturity determination.However,the conventional way of processing and interpreting the mass chromatogram is both timeconsuming and labor-intensive,which increases the research cost and restrains extensive applications of this method.To overcome this limitation,a correlation model is developed based on the convolution neural network(CNN)to link the mass chromatogram and biomarker features of samples from the Triassic Yanchang Formation,Ordos Basin,China.In this way,the mass chromatogram can be automatically interpreted.This research first performs dimensionality reduction for 15 biomarker parameters via the factor analysis and then quantifies the biomarker features using two indexes(i.e.MI and PMI)that represent the organic matter thermal maturity and parent material type,respectively.Subsequently,training,interpretation,and validation are performed multiple times using different CNN models to optimize the model structure and hyper-parameter setting,with the mass chromatogram used as the input and the obtained MI and PMI values for supervision(label).The optimized model presents high accuracy in automatically interpreting the mass chromatogram,with R2values typically above 0.85 and0.80 for the thermal maturity and parent material interpretation results,respectively.The significance of this research is twofold:(i)developing an efficient technique for geochemical research;(ii)more importantly,demonstrating the potential of artificial intelligence in organic geochemistry and providing vital references for future related studies.

Simultaneous Determination of 14 β-Receptor Agonists Residues in Mutton by High Performance Liquid Chromatography-Tandem Mass Spectrometry (HPLC-MS/MS)

[Objectives]A high performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS)method was established for the determination of 14β-receptor agonist residues in mutton.[Methods]Samples were hydrolyzed byβ-glucuronidase and extracted with 5%acetic acid-acetonitrile(1:99,V/V)solution.An Eclipse plus C 18 column was used for separation,and the MRM mode was used for qualitative analysis,and the external standard method was used for quantitative analysis of matrix standard solutions.[Results]Under the optimal conditions,the retention time of the 14 kinds ofβ-receptor agonists ranged from 1.0 to 9.5 min.When the mass concentration was in the range of 0.05-0.50μg/ml,the linear relationship ofβ-receptor agonists was good,with correlation coefficients(r)≥0.9992.The detection limits of the method were in the range of 0.04-0.87μg/kg,and the quantitative limits were in the range of 0.35-1.86μg/kg.The average recovery values were in the range of 82.8%-108.9%,with RSDs(n=6)in the range of 1.9%-6.7%.[Conclusions]The method is simple,sensitive,reproducible,accurate,and can be used for simultaneous determination of the 14 kinds ofβ-receptor agonist residues in mutton.

Chemical profiling of bioactive compounds in the methanolic extract of wild leaf and callus of Vitex negundo using gas chromatographymass spectrometry

BACKGROUND The investigation of plant-based therapeutic agents in medicinal plants has revealed their presence in the extracts and provides the vision to formulate novel techniques for drug therapy.Vitex negundo(V.negundo),a perennial herb belonging to the Varbanaceae family,is extensively used in conventional medication.AIM To determine the existence of therapeutic components in leaf and callus extracts from wild V.negundo plants using gas chromatography-mass spectrometry(GCMS).METHODS In this study,we conducted GC-MS on wild plant leaf extracts and correlated the presence of constituents with those in callus extracts.Various growth regulators such as 6-benzylaminopurine(BAP),2,4-dichlorophenoxyacetic acid(2,4-D),α-naphthylacetic acid(NAA),and di-phenylurea(DPU)were added to plant leaves and in-vitro callus and grown on MS medium.RESULTS The results clearly indicated that the addition of BAP(2.0 mg/L),2,4-D(0.2 mg/mL),DPU(2.0 mg/L)and 2,4-D(0.2 mg/mL)in MS medium resulted in rapid callus development.The plant profile of Vitex extracts by GC-MS analysis showed that 24,10,and 14 bioactive constituents were detected in the methanolic extract of leaf,green callus and the methanolic extract of white loose callus,respectively.CONCLUSION Octadecadienoic acid,hexadecanoic acid and methyl ester were the major constituents in the leaf and callus methanolic extract.Octadecadienoic acid was the most common constituent in all samples.The maximum concentration of octadecadienoic acid in leaves,green callus and white loose callus was 21.93%,47.79%and 40.38%,respectively.These findings demonstrate that the concentration of octadecadienoic acid doubles in-vitro compared to in-vivo.In addition to octadecadienoic acid;butyric acid,benzene,1-methoxy-4-(1-propenyl),dospan,tridecanedialdehyde,methylcyclohexenylbutanol,chlorpyrifos,n-secondary terpene diester,anflunine and other important active compounds were also detected.All these components were only available in callus formed in-vitro.This study showed that the callus contained additional botanical characteristics compared with wild plants.Due to the presence of numerous bioactive compounds,the medical use of Vitex for various diseases has been accepted and the plant is considered an important source of therapeutics for research and development.

Determination on Heavy Metals Content of Achyranthes bidentata Blume. through Inductively Coupled Plasma Mass Spectrometry (ICP-MS)

[Objective] The inductively coupled plasma mass spectrometry(ICP-MS)was constructed to determine the contents of lead,cadmium,mercury and arsenic in Archyranthes bidentata Blume.[Method]Under the optimum operation condition of ICP-MS,the samples were digested by microwave.The element 114In was taken as an internal standard element to compensate body effect and ICP-MS method was used to determine the contents of lead,cadmium,mercury and arsenic.[Result]For the determined elements,the correlation coefficient(r)of standard curve was over 0.9995 and recovery rate was from 96.7% to 106.4% while RSD was less than 11.2%.The result of determination showed that the heavy metal content in Archyranthes bidentata Blume.beyond standard was serious.[Conclusion]The constructed ICP-MS method with simple operation,rapid response,accuracy and high sensitivity in this experiment could be used for quality control of Chinese medicinal materials by detecting heavy metal contents in different Chinese medicinal materials from original places.

基于GC-IMS和GC-MS技术结合化学计量法分析干燥方式对香椿挥发性成分的影响

为研究干燥方式对香椿挥发性风味物质的影响,利用气相色谱-离子迁移谱技术(gaschromatography-ion mobility spectrometry,GC-IMS)和气相色谱-质谱联用技术(gas chromatography-mass spectrometry,GC-MS)、相对香气活性值(relative odor activity value,ROAV)对真空冷冻干燥、热泵干燥、热风干燥、微波真空干燥的香椿样品进行挥发性成分分析,并进一步结合化学计量方法主成分分析(principal component analysis,PCA)和偏最小二乘判别分析(partial least squares-discriminant analysis,PLS-DA),探究样品间挥发性成分的差异性。结果表明,通过GC-IMS检测到78个峰,鉴定出59种化合物。通过GC-MS鉴定出94种挥发性化合物,主要挥发性成分是硫化物、烯烃类和醛类。经过干燥后总挥发性化合物的含量显著降低。通过ROAV法确定了(E,Z)-二-1-丙烯基二硫化物、2-巯基-3,4-二甲基-2,3-二氢噻吩、正己醛、2-己烯醛、丁香酚等为香椿样品中关键香气化合物。PCA和PLS-DA结果表明,不同干燥方式的样品与新鲜样品有明显的分离,彼此之间也有明显的区别。鲜样和真空冷冻干燥样品为一组,其他3个干燥香椿样品为一组。根据变量投影重要性(variable importance in projection,VIP)得分共筛选出10种(VIP>1)标志挥发性化合物。干燥方式对香椿风味特性影响显著,真空冷冻干燥组与鲜样最为接近,考虑实际应用热泵干燥为香椿最适宜的脱水方式。本研究为热加工过程中风味品质控制提供一定的理论参考。

GC-MS结合电子鼻技术对不同茶区茉莉花茶香气的差异比较

为探究不同产区茉莉花茶香气差异,采用气相色谱-质谱(GasChromatography-Mass Spectrometry,GC-MS)结合电子鼻(Electronic Nose,E-nose)技术对西南、华南、江南三大茶区的8种茉莉花茶进行香气研究。结果表明,8个样品共鉴定出香气成分58种,其中西南、江南、华南茶区分别为45种、51种、47种。江南茶区香气化合物总量最高。共有香气成分主要包括邻氨基苯甲酸甲酯、顺式-3-己烯醇苯甲酸酯、乙酸苄酯、水杨酸甲酯、芳樟醇、吲哚等。其中水杨酸甲酯在江南茶区含量最高(22.32μg/g),分别较华南、西南茶区高33.96%、68.01%;邻氨基苯甲酸甲酯(67.39μg/g)和吲哚(43.84μg/g)含量在华南茶区最高。茉莉花茶香气评价指数(JasmineTea Flavor Index,JTF index)分析表明西南茶区样品等级最高。香气聚类分析将共有香气成分分为3类,分别呈花香、茉莉花香和草木香。通过电子鼻技术可知样品香气物质变化与硫化物、碳氢化合物、芳香化合物有关,并能有效区别样品香气。综上,三大茶区样品香气种类差异不明显,但各香气成分含量差异显著(P<0.05),江南和华南茶区的样品特征性香气成分含量较高,西南茶区样品综合指数高。

基于破乳诱导萃取和ICP-MS/MS分析渣油中的微量金属元素

基于破乳诱导萃取提出利用电感耦合等离子体串联质谱(ICP-MS/MS)测定渣油中多种金属元素的新策略。渣油样品经二甲苯稀释降低黏度后采用质量分数6%的Triton X-114乳化,超声水浴破乳25 min,利用体积分数40%的盐酸萃取渣油中金属元素至水相,采用ICP-MS/MS测定其中10种金属元素Na、Mg、Al、Ca、V、Cr、Fe、Ni、Cu、Zn的含量。详细评估了破乳诱导萃取条件对渣油中金属元素萃取效率的影响,在串联质谱(MS/MS)模式下,利用氦碰撞气或不同反应气消除了金属元素的质谱干扰,采用标准参考物质NIST SRM 1634c(燃油中的微量元素)验证了方法的准确性,以微波消解技术处理渣油样品并采用扇形磁场电感耦合等离子体质谱(SF-ICP-MS)进行对比分析验证了方法的可靠性。结果显示,金属元素在各自的含量范围内呈现良好的线性关系(线性相关系数≥0.9997),检出限(LOD)为2.05~31.4 ng/L,NIST SRM 1634c的测定结果与标准参考物质提供的认证值及文献报道的参考值基本一致,置信度水平达到95%,ICP-MS/MS方法与SF-ICP-MS的对比分析结果无显著性差异。所建立的ICP-MS/MS方法操作简单,分析速率快,准确可靠性好,已用于渣油中多种金属元素的质量评价。

HPLC及LC-MS测定榛子中氯吡苯脲和多菌灵残留

本文采用高效液相色谱法(HPLC)和液相色谱-质谱法(LC-MS)对干果榛子中氯吡苯脲和多菌灵残留量进行含量测定.HPLC和LC-MS均使用C18色谱柱,含量测定采取等度洗脱,流动相:甲醇-水(55∶45,体积比);体积流量:1.0 mL·min-1;测定波长:260 nm;柱温:30℃.LC-MS采取电喷雾离子源,梯度洗脱,体积流量:0.6 mL·min-1,柱温:30℃.结果表明,榛子中氯吡苯脲与多菌灵存在残留,氯吡苯脲质量浓度在1.00~10.00μg·mL-1范围内线性关系良好,加样回收率在95.58%~100.58%;多菌灵质量浓度在1.005~15.075μg·mL-1范围内具有良好的线性关系,加样回收率在95.61%~104.39%.实验证明,HPLC与LC-MS相结合的方法具有操作简便、灵敏度高、检出限低等优点,能有效地检测到榛子样品中膨大剂氯吡苯脲及杀菌剂多菌灵的残留,并确定其残留量,线性关系和回收率结果均令人满意.根据被检测的8批样品中氯吡苯脲和多菌灵两项农药残留量推断,作为一般干果食用榛子是安全的.

基于UHPLC-Q-Exactive Orbitrap HRMS技术结合化学计量学方法的不同干燥处理杜仲叶成分分析

采用基于液质联用的非靶向代谢组学技术结合化学计量学数据自动解析软件AntDAS-LCHRMS分析了4种不同干燥处理(冻干、热泵烘干、电热烘干、晒干)杜仲叶样本中的化合物。杜仲叶样本数据由超高效液相色谱-四极杆-静电场轨道阱高分辨质谱(UHPLC-Q-Exactive Orbitrap HRMS)分别在正、负离子模式下进行采集,经AntDAS-LCHRMS软件解析,共鉴定出71种差异性化合物,经标准品验证确定40种化合物,包括环烯醚萜类、有机酸类、黄酮类、氨基酸类、核苷类、维生素类等9类物质。其中,正、负离子模式下均可识别并验证的化合物有车叶草苷、绿原酸、芦丁、异槲皮苷、车叶草苷酸、京尼平苷等25种化合物。层次聚类分析(HCA)及主成分分析(PCA)结果均显示,相同处理的杜仲叶样本各自聚成一类,不同处理的杜仲叶样本可明显区分。热图分析进一步揭示了不同干燥处理杜仲叶样本中差异性化合物的含量变化。晒干处理样本中苯丙氨酸及色氨酸等氨基酸类物质的水平较高;冻干及热泵烘干处理样本中有机酸类、环烯醚萜类、糖类等含量较高;电热烘干样本中核苷类、黄酮类物质的含量较高;黄酮类物质在冻干、热泵烘干及晒干样本中差异较小。研究结果为不同干燥处理杜仲叶的成分分析、品质评价及其开发应用提供了科学依据,也可为其他复杂药用植物体系的化学成分分析提供参考。

SAFE-GC-MS/O法比较18种浓香型天然香辛料香气活性成分差异分析

采用溶剂萃取法,结合溶剂辅助蒸发(SAFE)装置,分离富集了18种浓香型天然香辛料的挥发性香气活性成分,使用气相色谱-质谱/嗅闻联用(GC-MS/O)对香气活性成分进行了定性定量分析,依据主成分分析法分析其含量差异。结果表明,在检测出的192种香气活性成分中,烯烃类化合物种类最多,为46种,其次为醇类39种、酯类29种、酮类22种、醛类20种、酚类13种、烷烃9种、酸类8种、醚类5种、含硫化合物1种。18种浓香型天然香辛料可依据主成分分析法分为4类:(1)以茴香脑为主的龙蒿、八角茴香、莳萝和小茴香;(2)以反式-肉桂醛、桉叶油醇为主的阴香;(3)以4-烯丙基苯乙酸酯和丁香酚为主的丁香、以桉叶油醇为主的小豆蔻、以乙酸桂酯为主的大清桂、以合成右旋龙脑、百里香酚和香芹酚为主的百里香、以反式-肉桂醛和丙位依兰油烯为主的桂皮、以左旋香芹酮为主的葛缕子、以黄樟素为主的肉豆蔻和以3-甲基苯甲酸乙酯为主的芹菜籽;(4)以芳樟醇和香叶醇为主的芫荽籽、以芳樟醇和4-烯丙基苯甲醚为主的甜罗勒、以乙酸芳樟酯为主的牛至、以肉豆蔻醚为主的多香果和以甲基丁香酚为主的香豆蔻。

高钙碳酸盐岩样品中微量钛ICP-MS测试方法

硅酸岩中的主量元素钛(Ti)在碳酸盐岩中含量一般低于3.5mg/g,其中绝大部分低于1mg/g,目前常用于硅酸岩中Ti含量(通常大于0.1%)测试的X射线荧光光谱法已无法满足碳酸盐岩中微量Ti的准确测试要求。本文尝试用电感耦合等离子体质谱测试碳酸盐岩中的Ti含量,讨论分析了Ti的5个测试同位素(^(46)Ti、^(47)Ti、^(48)Ti、^(49)Ti、^(50)Ti)在碳酸盐岩基体中的受干扰情况,确定了适合的测试同位素^(48)Ti,从而提出碳酸盐岩中微量Ti的ICP-MS测试方法。按照该方法测试并校正5个国家一级标准物质中Ti浓度,测定值与标准值相符,相对标准偏差(RSD,n=10)小于7.3%。在同一实验条件下,测试未知碳酸盐岩样品溶液Ti浓度并加以校正,与国家标准方法二安替比林甲烷光度法及电感耦合等离子体发射光谱法(ICP-OES)测定结果进行方法比对,与两者的相对标准偏差均小于允许限。方法加标回收率为83%~107%。该方法适用于CaO含量范围在31%~56%,Ti含量范围在14~3346μg/g的碳酸盐岩样品的测试,为高钙高镁碳酸盐岩中微量Ti的测试提供了方法参考。

自动化磁珠法提取血清脂溶性维生素应用LC-MS/MS检测的性能评价

目的评估自动化磁珠法提取血清脂溶性维生素应用液相色谱串联质谱法(liquid chromatography-tandem mass spectrometry,LC-MS/MS)检测的性能。方法收集200例临床剩余血清样本,采用自动化磁珠法提取血清中脂溶性维生素A,D_(2),D_(3),E和K;同时联合LC-MS/MS检测脂溶性维生素A,D_(2),D_(3),E和K的线性、定量限、精密度、正确度、携带污染率等性能指标以及基质效应。并比较此方法与传统萃取法检测结果的一致性。结果自动化磁珠法提取脂溶性维生素A,D_(2),D_(3),E和K线性相关系数均>0.99;五种物质的定量限分别为5,0.25,0.25,125和0.025ng/ml;批内精密度和批间精密度分别为0.66%~4.83%,0.15%~3.70%;平均加标回收率为87.05%~111.11%;基质效应为95.43%~99.07%;高-低值样本循环进样结果均值与低-低值样本循环进样结果均值之差,均小于低-低值样本循环进样结果均值的3s;统计学结果显示自动化磁珠法和传统萃取法提取的脂溶性维生素结果相关性良好(r>0.99),两种方法的检测结果无显著偏倚。结论自动化磁珠法提取脂溶性维生素的检测性能良好,有望提高样品通量和分析效率。

UPLC-Q-TOF-MS与电子舌分析不同产地多花酒黄精滋味特征

目的:分析不同产地多花酒黄精的滋味特征,为产地判别、分析方法改进提供依据。方法:以11个产地的多花酒黄精细粉为研究样品,采用超高效液相色谱-四极杆-飞行时间质谱(UPLC-Q-TOF-MS)分析多花酒黄精化学成分,采用电子舌智能感官评定技术分析多花酒黄精滋味雷达图,采用主成分(PCA)、Loadings方法分析电子舌信号响应结果,构建产地判别模型。结果:UPLC-Q-TOF-MS法结果共鉴别出68个化学成分,其中28个差异性成分可用于10个产地的区分。电子舌结果表明,主成分判别分析能较好地区分不同产地多花酒黄精,多花酒黄精在滋味上的差异主要体现在苦味、甜味、咸味、鲜味等。结论:不同产地多花酒黄精的滋味特征存在差异,可作为产地判别依据。电子舌技术可为多花酒黄精分析及质量标准提供简单、快速的新方法。

三七治疗骨关节炎机制:基于UHPLC-QE-MS、网络药理学及分子动力学模拟

背景:课题组前期研究发现三七能够修复骨细胞的形态结构,对于治疗骨关节炎具有良好的应用前景,但目前对于三七的具体作用机制尚不清楚。目的:采用超高效液相色谱-四极杆-静电场轨道阱串联质谱(ultra-high performance liquid chromatography-Q exactive-mass spectrometry,UHPLC-QE-MS)技术鉴定三七的主要成分,并结合网络药理学、分子对接和分子动力学模拟探究三七治疗骨关节炎的作用机制。方法:利用UHPLC-QE-MS技术鉴定三七的主要成分后,运用TCMSP数据库筛选活性成分,通过TCMSP和Uniprot数据库查找活性成分靶点,通过疾病数据库筛选骨关节炎靶点。在药物靶点与疾病靶点取交集后,导入STRING数据库和Cytoscape软件构建蛋白互作网络筛选关键靶点,通过“活性成分-作用靶点”网络筛选关键活性成分。再对关键靶点进行富集分析,并对关键活性成分和关键靶点进行分子对接验证,最后选取结合能最低的结果进行分子动力学模拟。结果与结论:①在三七溶液中共鉴定出57种活性成分,成分靶点与疾病靶点交集50个,关键活性成分5个(槲皮素、熊脱氧胆酸、山奈酚、柚皮素和红藻氨酸),关键靶点5个(白细胞介素6、基质金属蛋白酶9、白细胞介素1β、白蛋白和趋化因子配体2);②基因本体功能富集642个条目,其中620个条目代表生物过程,21个条目代表分子功能,1个条目代表细胞成分;京都基因与基因组百科全书通路分析63条通路,主要涉及雌激素信号通路、白细胞介素17信号通路和高糖基化终末产物-高糖基化终末产物受体信号通路;③分子对接显示关键活性成分和关键靶点结合活性良好,分子动力学模拟提示槲皮素和基质金属蛋白酶9间的相互作用稳定;④对三七成分进行了较全面研究,初步阐明了其药效物质基础,预测三七可通过多组分、多靶点、多途径和多通路发挥抗炎、软骨保护和免疫调节作用来治疗骨关节炎。