Literature DB >> 25082081

Automatic analyzer for highly polar carboxylic acids based on fluorescence derivatization-liquid chromatography.

Kenichiro Todoroki1, Tatsuki Nakano, Yasuhiro Ishii, Kanoko Goto, Ryoko Tomita, Toshihiro Fujioka, Jun Zhe Min, Koichi Inoue, Toshimasa Toyo'oka.   

Abstract

A sensitive, versatile, and reproducible automatic analyzer for highly polar carboxylic acids based on a fluorescence derivatization-liquid chromatography (LC) method was developed. In this method, carboxylic acids were automatically and fluorescently derivatized with 4-(N,N-dimethylaminosulfonyl)-7-piperazino-2,1,3-benzoxadiazole (DBD-PZ) in the presence of 4-(4,6-dimethoxy-1,3,5-triazin-2-yl)-4-methylmorpholinium chloride by adopting a pretreatment program installed in an LC autosampler. All of the DBD-PZ-carboxylic acid derivatives were separated on the ODS column within 30 min by gradient elution. The peak of DBD-PZ did not interfere with the separation and the quantification of all the acids with the exception of lactic acid. From the LC-MS/MS analysis, we confirmed that lactic acid was converted to an oxytriazinyl derivative, which was further modified with a dimethoxy triazine group of 4-(4,6-dimethoxy-1,3,5-triazin-2-yl)-4-methylmorpholinium chloride (DMT-MM). We detected this oxytriazinyl derivative to quantify lactic acid. The detection limits (signal-to-noise ratio = 3) for the examined acids ranged from 0.19 to 1.1 µm, which correspond to 95-550 fmol per injection. The intra- and inter-day precisions of typical, highly polar carboxylic acids were all <9.0%. The developed method was successfully applied to the comprehensive analysis of carboxylic acids in various samples, which included fruit juices, red wine and media from cultured tumor cells.
Copyright © 2014 John Wiley & Sons, Ltd.

Entities:  

Keywords:  automatic analyzer; fluorescence derivatization; highly polar carboxylic acid; liquid chromatography

Mesh:

Substances:

Year:  2014        PMID: 25082081     DOI: 10.1002/bmc.3295

Source DB:  PubMed          Journal:  Biomed Chromatogr        ISSN: 0269-3879            Impact factor:   1.902


  3 in total

1.  Automatic screening of tear meniscus from lacrimal duct obstructions using anterior segment optical coherence tomography images by deep learning.

Authors:  Hitoshi Imamura; Hitoshi Tabuchi; Daisuke Nagasato; Hiroki Masumoto; Hiroaki Baba; Hiroki Furukawa; Sachiko Maruoka
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2021-02-12       Impact factor: 3.117

2.  Prediction of age and brachial-ankle pulse-wave velocity using ultra-wide-field pseudo-color images by deep learning.

Authors:  Daisuke Nagasato; Hitoshi Tabuchi; Hiroki Masumoto; Takanori Kusuyama; Yu Kawai; Naofumi Ishitobi; Hiroki Furukawa; Shouto Adachi; Fumiko Murao; Yoshinori Mitamura
Journal:  Sci Rep       Date:  2020-11-09       Impact factor: 4.379

3.  Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography.

Authors:  Takahiro Sogawa; Hitoshi Tabuchi; Daisuke Nagasato; Hiroki Masumoto; Yasushi Ikuno; Hideharu Ohsugi; Naofumi Ishitobi; Yoshinori Mitamura
Journal:  PLoS One       Date:  2020-04-16       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.