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Optimization of HS-SPME Using Artificial Neural Network and Response Surface Methodology in Combination with Experimental Design for Determination of Volatile Components by Gas Chromatography-Mass Spectrometry in Korla Pear Juice

Crossref DOI link: https://doi.org/10.1007/s12161-018-1173-6

Published Online: 2018-02-27

Published Print: 2018-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zhang, Fang

Zhan, Ping

Tian, Honglei

Wei, Zhisheng

Wang, Peng
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Text and Data Mining valid from 2018-02-27
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Article History

Received: 21 September 2017

Accepted: 25 January 2018

First Online: 27 February 2018

Compliance with Ethical Standards

:

: Fang Zhang declares that she has no conflict of interest. Ping Zhan declares that she has no conflict of interest. Honglei Tian declares that he has no conflict of interest. Zhisheng Wei declares that he has no conflict of interest. Peng Wang declares that he has no conflict of interest.

: This article does not contain any studies with human participants or animals performed by any of the authors.

: Not applicable.

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