Literature DB >> 22434060

Push-through direct injection NMR: an optimized automation method applied to metabolomics.

Quincy Teng1, Drew R Ekman, Wenlin Huang, Timothy W Collette.   

Abstract

There is a pressing need to increase the throughput of NMR analysis in fields such as metabolomics and drug discovery. Direct injection (DI) NMR automation is recognized to have the potential to meet this need due to its suitability for integration with the 96-well plate format. However, DI NMR has not been widely used as a result of some insurmountable technical problems; namely: carryover contamination, sample diffusion (causing reduction of spectral sensitivity), and line broadening caused by entrapped air bubbles. Several variants of DI NMR, such as flow injection analysis (FIA) and microflow NMR, have been proposed to address one or more of these issues, but not all of them. The push-through direct injection technique reported here overcomes all of these problems. The method recovers samples after NMR analysis, uses a "brush-wash" routine to eliminate carryover, includes a procedure to push wash solvent out of the flow cell via the outlet to prevent sample diffusion, and employs an injection valve to avoid air bubbles. Herein, we demonstrate the robustness, efficiency, and lack of carryover characteristics of this new method, which is ideally suited for relatively high throughput analysis of the complex biological tissue extracts used in metabolomics, as well as many other sample types. While simple in concept and setup, this new method provides a substantial improvement over current approaches.

Mesh:

Year:  2012        PMID: 22434060     DOI: 10.1039/c2an16251b

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  10 in total

1.  Gene transcription, metabolite and lipid profiling in eco-indicator daphnia magna indicate diverse mechanisms of toxicity by legacy and emerging flame-retardants.

Authors:  Leona D Scanlan; Alexandre V Loguinov; Quincy Teng; Philipp Antczak; Kathleen P Dailey; Daniel T Nowinski; Jonah Kornbluh; Xin Xin Lin; Erica Lachenauer; Audrey Arai; Nora K Douglas; Francesco Falciani; Heather M Stapleton; Chris D Vulpe
Journal:  Environ Sci Technol       Date:  2015-06-01       Impact factor: 9.028

2.  Identification of a disaccharide side chain 2-O-α-D-galactopyranosyl-α-D-glucuronic acid in Arabidopsis xylan.

Authors:  Ruiqin Zhong; Quincy Teng; Chanhui Lee; Zheng-Hua Ye
Journal:  Plant Signal Behav       Date:  2014-02-12

3.  Functional roles of rice glycosyltransferase family GT43 in xylan biosynthesis.

Authors:  Chanhui Lee; Quincy Teng; Ruiqin Zhong; Youxi Yuan; Zheng-Hua Ye
Journal:  Plant Signal Behav       Date:  2014-02-13

4.  Alterations of the degree of xylan acetylation in Arabidopsis xylan mutants.

Authors:  Chanhui Lee; Quincy Teng; Ruiqin Zhong; Zheng-Hua Ye
Journal:  Plant Signal Behav       Date:  2014-02-11

Review 5.  Unraveling biochemical pathways affected by mitochondrial dysfunctions using metabolomic approaches.

Authors:  Stéphane Demine; Nagabushana Reddy; Patricia Renard; Martine Raes; Thierry Arnould
Journal:  Metabolites       Date:  2014-09-25

Review 6.  NMR reaction monitoring in flow synthesis.

Authors:  M Victoria Gomez; Antonio de la Hoz
Journal:  Beilstein J Org Chem       Date:  2017-02-14       Impact factor: 2.883

7.  High-resolution quantitative metabolome analysis of urine by automated flow injection NMR.

Authors:  Laeticia Da Silva; Markus Godejohann; François-Pierre J Martin; Sebastiano Collino; Alexander Bürkle; María Moreno-Villanueva; Jürgen Bernhardt; Olivier Toussaint; Beatrix Grubeck-Loebenstein; Efstathios S Gonos; Ewa Sikora; Tilman Grune; Nicolle Breusing; Claudio Franceschi; Antti Hervonen; Manfred Spraul; Sofia Moco
Journal:  Anal Chem       Date:  2013-05-29       Impact factor: 6.986

8.  Combined delivery of paclitaxel and tanespimycin via micellar nanocarriers: pharmacokinetics, efficacy and metabolomic analysis.

Authors:  Usha Katragadda; Wei Fan; Yingzhe Wang; Quincy Teng; Chalet Tan
Journal:  PLoS One       Date:  2013-03-07       Impact factor: 3.240

9.  Identification and biochemical characterization of four wood-associated glucuronoxylan methyltransferases in Populus.

Authors:  Youxi Yuan; Quincy Teng; Ruiqin Zhong; Zheng-Hua Ye
Journal:  PLoS One       Date:  2014-02-11       Impact factor: 3.240

10.  Mutations of Arabidopsis TBL32 and TBL33 Affect Xylan Acetylation and Secondary Wall Deposition.

Authors:  Youxi Yuan; Quincy Teng; Ruiqin Zhong; Marziyeh Haghighat; Elizabeth A Richardson; Zheng-Hua Ye
Journal:  PLoS One       Date:  2016-01-08       Impact factor: 3.240

  10 in total

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