Identifying the compound formulae-related xenobiotics in bio-samples is full of challenges.Conventional strategies always exhibit the insufficiencies in overall coverage,analytical efficiency,and degree of automation,...Identifying the compound formulae-related xenobiotics in bio-samples is full of challenges.Conventional strategies always exhibit the insufficiencies in overall coverage,analytical efficiency,and degree of automation,and the results highly rely on the personal knowledge and experience.The goal of this work was to establish a software-aided approach,by integrating ultra-high performance liquid chromatography/ion-mobility quadrupole time-of-flight mass spectrometry(UHPLC/IM-QTOF-MS)and in-house high-definition MS^(2) library,to enhance the identification of prototypes and metabolites of the compound formulae in vivo,taking Sishen formula(SSF)as a template.Seven different MS2 acquisition methods were compared,which demonstrated the potency of a hybrid scan approach(namely high-definition data-independent/data-dependent acquisition(HDDIDDA))in the identification precision,MS1 coverage,and MS^(2) spectra quality.The HDDIDDA data for 55 reference compounds,four component drugs,and SSF,together with the rat bio-samples(e.g.,plasma,urine,feces,liver,and kidney),were acquired.Based on the UNIFI™platform(Waters),the efficient data processing workflows were established by combining mass defect filtering(MDF)-induced classification,diagnostic product ions(DPIs),and neutral loss filtering(NLF)-dominated structural confirmation.The high-definition MS^(2) spectral libraries,dubbed in vitro-SSF and in vivo-SSF,were elaborated,enabling the efficient and automatic identification of SSF-associated xenobiotics in diverse rat bio-samples.Consequently,118 prototypes and 206 metabolites of SSF were identified,with the identification rate reaching 80.51%and 79.61%,respectively.The metabolic pathways mainly involved the oxidation,reduction,hydrolysis,sulfation,methylation,demethylation,acetylation,glucuronidation,and the combined reactions.Conclusively,the proposed strategy can drive the identification of compound formulae-related xenobiotics in vivo in an intelligent manner.展开更多
建立了超高效液相色谱-线性离子阱/静电场轨道阱组合式高分辨质谱(UHPLC-LTQ Orbitrap MS)联用技术整合多种数据采集、挖掘策略快速分析无患子果皮中苷类化合物;总结了两类无患子皂苷标准品的质谱裂解规律及特征碎片离子,用于无患子果...建立了超高效液相色谱-线性离子阱/静电场轨道阱组合式高分辨质谱(UHPLC-LTQ Orbitrap MS)联用技术整合多种数据采集、挖掘策略快速分析无患子果皮中苷类化合物;总结了两类无患子皂苷标准品的质谱裂解规律及特征碎片离子,用于无患子果皮中苷类成分的快速筛查和鉴别;探索了母离子列表(parent ion list,PIL)-MS2、PIL-MS3和高能碰撞(high energy collision dissociation,HCD)技术,用于无患子果皮中母核结构相近化合物的精细区分和鉴别;最后通过智能化的In silico策略(Mass Frontier软件中的FISH和MS Tree Match技术)对无患子果皮中新的苷类成分进行高通量筛查,并用HCD碎裂模式验证其预测的可靠性。结果表明,在无患子果皮中共鉴别出67个苷类化合物,其中38个化合物被快速筛查和鉴别,18个母核结构相近的化合物得以精细区分,11个新成分被推测。该方法能够为无患子质量控制及药效学研究提供参考数据,有助于复杂中药成分的快速定性分析。展开更多
建立了QuEChERS净化结合超高效液相色谱串联四级杆飞行时间质谱(UHPLC-Q-TOF/MS)法同时筛查猪肉中10种抗生素类兽药残留量的分析方法。样品经过Na;EDTA-Mcllvaine缓冲溶液-0.1%甲酸乙腈-NaCl-无水Na_(2)SO_(4)-C_(18)的提取净化。通过In...建立了QuEChERS净化结合超高效液相色谱串联四级杆飞行时间质谱(UHPLC-Q-TOF/MS)法同时筛查猪肉中10种抗生素类兽药残留量的分析方法。样品经过Na;EDTA-Mcllvaine缓冲溶液-0.1%甲酸乙腈-NaCl-无水Na_(2)SO_(4)-C_(18)的提取净化。通过Infinity Lab Poroshell 120 EC-C_(18)色谱柱分离,在正离子多反应监测模式下分析。结果表明,10种兽药相关系数大于0.99,在5.0~100.0μg/kg范围内线性关系良好,在5、10、20μg/kg三个添加水平下平均回收率为72.3%~117.3%,日内相对标准偏差为(Relative Standard Deviation,RSD)0.9%~10.4%,日间RSD为1.1%~13.4%,检测限(Limit of Detection,LOD)为0.25~1.0μg/kg,定量限(Limit of Quantity,LOQ)为0.5~5.0μg/kg。采用本方法对市场购买的50份新鲜生猪肉样品进行检测,1份样品四环素呈阳性,其余样品均未检出。该方法操作简便、快速,具有良好的精密度和定量限,适用于猪肉中10种抗生素类兽药的快速检测。展开更多
目的应用UHPLC/QTOF-MS对紫金锭提取物中的化学成分进行鉴定。方法色谱分离采用Agilent Eclipse Plus C18色谱柱(100mm×2.1mm,3.5μm),0.1%甲酸水溶液-乙腈梯度洗脱。质谱分析采用电喷雾离子源,负离子模式检测。结果通过二级质谱...目的应用UHPLC/QTOF-MS对紫金锭提取物中的化学成分进行鉴定。方法色谱分离采用Agilent Eclipse Plus C18色谱柱(100mm×2.1mm,3.5μm),0.1%甲酸水溶液-乙腈梯度洗脱。质谱分析采用电喷雾离子源,负离子模式检测。结果通过二级质谱裂解分析以及文献信息比对,从紫金锭中鉴定出了没食子酸、间二没食子酸、没食子酸甲酯、七叶内酯、柚皮苷、1,2,3,4,6-O-五没食子酰葡萄糖、1,4-二4-(葡萄糖氧)苄基-2-异丁基苹果酸酯、淫羊藿糖甙、Sarcogenin,大豆苷元、乌索酸等11个化合物。结论本法为紫金锭的化学成分鉴定提供快速和准确方法。展开更多
基金This work was financially supported by National Natural Science Foundation of China(Grant No.:82192914)Tianjin Outstanding Youth Fund(Grant No.:23JCJQJC00030)the Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine(Grant No.:ZYYCXTD-C-202009).
文摘Identifying the compound formulae-related xenobiotics in bio-samples is full of challenges.Conventional strategies always exhibit the insufficiencies in overall coverage,analytical efficiency,and degree of automation,and the results highly rely on the personal knowledge and experience.The goal of this work was to establish a software-aided approach,by integrating ultra-high performance liquid chromatography/ion-mobility quadrupole time-of-flight mass spectrometry(UHPLC/IM-QTOF-MS)and in-house high-definition MS^(2) library,to enhance the identification of prototypes and metabolites of the compound formulae in vivo,taking Sishen formula(SSF)as a template.Seven different MS2 acquisition methods were compared,which demonstrated the potency of a hybrid scan approach(namely high-definition data-independent/data-dependent acquisition(HDDIDDA))in the identification precision,MS1 coverage,and MS^(2) spectra quality.The HDDIDDA data for 55 reference compounds,four component drugs,and SSF,together with the rat bio-samples(e.g.,plasma,urine,feces,liver,and kidney),were acquired.Based on the UNIFI™platform(Waters),the efficient data processing workflows were established by combining mass defect filtering(MDF)-induced classification,diagnostic product ions(DPIs),and neutral loss filtering(NLF)-dominated structural confirmation.The high-definition MS^(2) spectral libraries,dubbed in vitro-SSF and in vivo-SSF,were elaborated,enabling the efficient and automatic identification of SSF-associated xenobiotics in diverse rat bio-samples.Consequently,118 prototypes and 206 metabolites of SSF were identified,with the identification rate reaching 80.51%and 79.61%,respectively.The metabolic pathways mainly involved the oxidation,reduction,hydrolysis,sulfation,methylation,demethylation,acetylation,glucuronidation,and the combined reactions.Conclusively,the proposed strategy can drive the identification of compound formulae-related xenobiotics in vivo in an intelligent manner.
文摘建立了超高效液相色谱-线性离子阱/静电场轨道阱组合式高分辨质谱(UHPLC-LTQ Orbitrap MS)联用技术整合多种数据采集、挖掘策略快速分析无患子果皮中苷类化合物;总结了两类无患子皂苷标准品的质谱裂解规律及特征碎片离子,用于无患子果皮中苷类成分的快速筛查和鉴别;探索了母离子列表(parent ion list,PIL)-MS2、PIL-MS3和高能碰撞(high energy collision dissociation,HCD)技术,用于无患子果皮中母核结构相近化合物的精细区分和鉴别;最后通过智能化的In silico策略(Mass Frontier软件中的FISH和MS Tree Match技术)对无患子果皮中新的苷类成分进行高通量筛查,并用HCD碎裂模式验证其预测的可靠性。结果表明,在无患子果皮中共鉴别出67个苷类化合物,其中38个化合物被快速筛查和鉴别,18个母核结构相近的化合物得以精细区分,11个新成分被推测。该方法能够为无患子质量控制及药效学研究提供参考数据,有助于复杂中药成分的快速定性分析。
文摘建立了QuEChERS净化结合超高效液相色谱串联四级杆飞行时间质谱(UHPLC-Q-TOF/MS)法同时筛查猪肉中10种抗生素类兽药残留量的分析方法。样品经过Na;EDTA-Mcllvaine缓冲溶液-0.1%甲酸乙腈-NaCl-无水Na_(2)SO_(4)-C_(18)的提取净化。通过Infinity Lab Poroshell 120 EC-C_(18)色谱柱分离,在正离子多反应监测模式下分析。结果表明,10种兽药相关系数大于0.99,在5.0~100.0μg/kg范围内线性关系良好,在5、10、20μg/kg三个添加水平下平均回收率为72.3%~117.3%,日内相对标准偏差为(Relative Standard Deviation,RSD)0.9%~10.4%,日间RSD为1.1%~13.4%,检测限(Limit of Detection,LOD)为0.25~1.0μg/kg,定量限(Limit of Quantity,LOQ)为0.5~5.0μg/kg。采用本方法对市场购买的50份新鲜生猪肉样品进行检测,1份样品四环素呈阳性,其余样品均未检出。该方法操作简便、快速,具有良好的精密度和定量限,适用于猪肉中10种抗生素类兽药的快速检测。
文摘目的应用UHPLC/QTOF-MS对紫金锭提取物中的化学成分进行鉴定。方法色谱分离采用Agilent Eclipse Plus C18色谱柱(100mm×2.1mm,3.5μm),0.1%甲酸水溶液-乙腈梯度洗脱。质谱分析采用电喷雾离子源,负离子模式检测。结果通过二级质谱裂解分析以及文献信息比对,从紫金锭中鉴定出了没食子酸、间二没食子酸、没食子酸甲酯、七叶内酯、柚皮苷、1,2,3,4,6-O-五没食子酰葡萄糖、1,4-二4-(葡萄糖氧)苄基-2-异丁基苹果酸酯、淫羊藿糖甙、Sarcogenin,大豆苷元、乌索酸等11个化合物。结论本法为紫金锭的化学成分鉴定提供快速和准确方法。
