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The determination of amino acids composition of the traditional food Potentilla anserina L. root by high-performance liquid chromatography via fluorescent detection and mass spectrometry
Xia, Lian1,2,3; You, Jinmao1,2
2011-06-01
发表期刊INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY
ISSN0950-5423
卷号46期号:6页码:1164-1170
文章类型Article
摘要P>In this study, we developed a method of liquid chromatography with fluoresce detector (LC-FLD) and on-line mass spectrometry identification (MSI) using 2-[2-(7H-dibenzo [a, g] carbazol-7-yl)-ethoxy] ethyl chloroformate (DBCEC-Cl) as pre-column derivatisation reagent for determination of the amino acids (AAs) in Potentilla anserina L. Separation of the derivatised AA exhibited a good baseline resolution in combination with a gradient elution. All AA derivatives give excellent linear responses with correlation coefficients of > 0.9992. The detection limits of each AA were 2.60-24.3 fmol. Eighteen AAs, involving seven essential AAs, were detected in Potentilla anserina L. Quantitative recoveries of the AAs from the Potentilla anserina L. were 84-107%, and the relative standard deviation values were < 1.45%. The established method in this study was sensitive and precision enough to separate and quantify AA composition of Potentilla anserina L. Good compositional data were obtained from the analysis of the AAs obtained from Potentilla anserina L. root.; P>In this study, we developed a method of liquid chromatography with fluoresce detector (LC-FLD) and on-line mass spectrometry identification (MSI) using 2-[2-(7H-dibenzo [a, g] carbazol-7-yl)-ethoxy] ethyl chloroformate (DBCEC-Cl) as pre-column derivatisation reagent for determination of the amino acids (AAs) in Potentilla anserina L. Separation of the derivatised AA exhibited a good baseline resolution in combination with a gradient elution. All AA derivatives give excellent linear responses with correlation coefficients of > 0.9992. The detection limits of each AA were 2.60-24.3 fmol. Eighteen AAs, involving seven essential AAs, were detected in Potentilla anserina L. Quantitative recoveries of the AAs from the Potentilla anserina L. were 84-107%, and the relative standard deviation values were < 1.45%. The established method in this study was sensitive and precision enough to separate and quantify AA composition of Potentilla anserina L. Good compositional data were obtained from the analysis of the AAs obtained from Potentilla anserina L. root.
关键词Amino Acids Hplc-fld-msi 2-[2-(7h-dibenzo [a g] Carbazol-7-yl)- Ethoxy] Ethyl Chloroformate Potentilla Anserina l
WOS标题词Science & Technology ; Life Sciences & Biomedicine
关键词[WOS]PRECOLUMN DERIVATIZATION ; 9-FLUORENYLMETHYL CHLOROFORMATE ; REAGENT ; HPLC ; HYDROLYSATE ; CARBAMATE ; PRODUCTS ; QUALITY ; PROTEIN ; PLASMA
收录类别SCI
语种英语
WOS研究方向Food Science & Technology
WOS类目Food Science & Technology
WOS记录号WOS:000290171800007
引用统计
被引频次:10[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://210.75.249.4/handle/363003/1542
专题中国科学院西北高原生物研究所
作者单位1.Qufu Normal Univ, Coll Chem Sci, Key Lab Life Organ Anal, Qufu 273165, Peoples R China
2.Chinese Acad Sci, NW Plateau Inst Biol, Xining 810001, Peoples R China
3.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
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Xia, Lian,You, Jinmao. The determination of amino acids composition of the traditional food Potentilla anserina L. root by high-performance liquid chromatography via fluorescent detection and mass spectrometry[J]. INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY,2011,46(6):1164-1170.
APA Xia, Lian,&You, Jinmao.(2011).The determination of amino acids composition of the traditional food Potentilla anserina L. root by high-performance liquid chromatography via fluorescent detection and mass spectrometry.INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY,46(6),1164-1170.
MLA Xia, Lian,et al."The determination of amino acids composition of the traditional food Potentilla anserina L. root by high-performance liquid chromatography via fluorescent detection and mass spectrometry".INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY 46.6(2011):1164-1170.
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