Optimization of enantiomer separation in flow-modulated comprehensive two-dimensional gas chromatography by response surface methodology coupled to artificial neural networks: Wine analysis case study-Reference-Cited by-同舟云学术

Optimization of enantiomer separation in flow-modulated comprehensive two-dimensional gas chromatography by response surface methodology coupled to artificial neural networks: Wine analysis case study

Published:2022-07 Issue: Volume:1675 Page:463189
ISSN:0021-9673
Container-title:Journal of Chromatography A
language:en
Short-container-title:Journal of Chromatography A

Author:

Vyviurska Olga,Koljančić Nemanja,Gomes Adriano A.,Špánik Ivan

Publisher

Elsevier BV

Subject

Organic Chemistry,General Medicine,Biochemistry,Analytical Chemistry

Reference37 articles.

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4. https://www.agilent.com/cs/library/technicaloverviews/public/technicaloverview-gcxgc-reversed-flow-modulator-5994-0157en-agilent.pdf. (Accessed 07.02 2022).

5. Comparison of the performance of forward fill/flush and reverse fill/flush flow modulation in comprehensive two-dimensional gas chromatography;Krupčík;J. Chromatogr. A,2016

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