Biological mass spectrometry has received a great progress in recent years.The osteopontin(OPN) isolated and purified from the human milk was studied by HPLC using SCX and C4 columns.After hydrolyzing the purified OPN...Biological mass spectrometry has received a great progress in recent years.The osteopontin(OPN) isolated and purified from the human milk was studied by HPLC using SCX and C4 columns.After hydrolyzing the purified OPN sample by trypsin,the correlative polypeptide fragments GDSVVYGLR and QNLLAPQTLPSK were obtained by FT-ICR-MS.It showed that the method of nano-spray HPLC combined with FT-ICR-MS and Mascot search was very efficient for the analysis of the purified OPN and its polypeptide fragments.Further study provides more academic theories of their different modifications and the relative bioactivities.展开更多
为探究沉水植物水生态修复对湖泊水体碳循环的影响,以武汉东湖沉水植物水生态修复区和未修复区作为研究对象,采用傅里叶变换离子回旋共振质谱(Fourier Transform Ion Cyclotron Resonance Mass Spectrometry,FT-ICR-MS)技术对比沉水植...为探究沉水植物水生态修复对湖泊水体碳循环的影响,以武汉东湖沉水植物水生态修复区和未修复区作为研究对象,采用傅里叶变换离子回旋共振质谱(Fourier Transform Ion Cyclotron Resonance Mass Spectrometry,FT-ICR-MS)技术对比沉水植物水生态修复区与未修复区水体溶解性有机质(Dissolved Organic Matter,DOM)的化学多样性,揭示沉水植物对水体DOM稳定性的影响。结果表明,沉水植物水生态修复显著改善水体理化性质的同时改变了DOM分子的化学多样性。修复区与未修复区分别含有7814和7282种DOM分子,其中修复区特有的1768种,主要以CHO、CHON和CHOP类型为主;未修复区特有的1236种,主要以CHO和CHON类型为主。进一步分析发现,修复区含P元素相对难降解的DOM分子类型(CHOP、CHONP、CHOPS和CHONPS)是未修复区的1.4—2.29倍且强还原态的DOM含量更高,表明修复区DOM在热力学上比未修复区更稳定。综上所述,沉水植物不仅改变了水体DOM分子组成,同时提高了水体难降解DOM分子丰度。研究将有利于加深湖泊稳态碳转换过程对水体碳循环影响的认识,为未来准确评估湖泊的碳汇潜力提供科学依据。展开更多
FT-ICR-MS technology has significant sensitivity and dynamic range,enabling the detection of different fragmentations of peptides and proteins at lower and lower levels.In the bottom-up approach,by far the most freque...FT-ICR-MS technology has significant sensitivity and dynamic range,enabling the detection of different fragmentations of peptides and proteins at lower and lower levels.In the bottom-up approach,by far the most frequently used proteomics approach,a single LC-MS run can reveal tens and even hundreds of useful information.For each peptide selected for MS/MS,two data-files were generated,one for ECD and another one for CAD.They were merged as described and submitted to the Mascot search engine using the protein database.These thresholds ensure almost 100% statistical confident in the peptide identification.展开更多
文摘Biological mass spectrometry has received a great progress in recent years.The osteopontin(OPN) isolated and purified from the human milk was studied by HPLC using SCX and C4 columns.After hydrolyzing the purified OPN sample by trypsin,the correlative polypeptide fragments GDSVVYGLR and QNLLAPQTLPSK were obtained by FT-ICR-MS.It showed that the method of nano-spray HPLC combined with FT-ICR-MS and Mascot search was very efficient for the analysis of the purified OPN and its polypeptide fragments.Further study provides more academic theories of their different modifications and the relative bioactivities.
文摘为探究沉水植物水生态修复对湖泊水体碳循环的影响,以武汉东湖沉水植物水生态修复区和未修复区作为研究对象,采用傅里叶变换离子回旋共振质谱(Fourier Transform Ion Cyclotron Resonance Mass Spectrometry,FT-ICR-MS)技术对比沉水植物水生态修复区与未修复区水体溶解性有机质(Dissolved Organic Matter,DOM)的化学多样性,揭示沉水植物对水体DOM稳定性的影响。结果表明,沉水植物水生态修复显著改善水体理化性质的同时改变了DOM分子的化学多样性。修复区与未修复区分别含有7814和7282种DOM分子,其中修复区特有的1768种,主要以CHO、CHON和CHOP类型为主;未修复区特有的1236种,主要以CHO和CHON类型为主。进一步分析发现,修复区含P元素相对难降解的DOM分子类型(CHOP、CHONP、CHOPS和CHONPS)是未修复区的1.4—2.29倍且强还原态的DOM含量更高,表明修复区DOM在热力学上比未修复区更稳定。综上所述,沉水植物不仅改变了水体DOM分子组成,同时提高了水体难降解DOM分子丰度。研究将有利于加深湖泊稳态碳转换过程对水体碳循环影响的认识,为未来准确评估湖泊的碳汇潜力提供科学依据。
文摘FT-ICR-MS technology has significant sensitivity and dynamic range,enabling the detection of different fragmentations of peptides and proteins at lower and lower levels.In the bottom-up approach,by far the most frequently used proteomics approach,a single LC-MS run can reveal tens and even hundreds of useful information.For each peptide selected for MS/MS,two data-files were generated,one for ECD and another one for CAD.They were merged as described and submitted to the Mascot search engine using the protein database.These thresholds ensure almost 100% statistical confident in the peptide identification.
