Quantitative analysis of yeast growth process based on FT-NIR spectroscopy integrated with Gaussian mixture regression-Reference-Cited by-同舟云学术

Quantitative analysis of yeast growth process based on FT-NIR spectroscopy integrated with Gaussian mixture regression

Published:2017 Issue:40 Volume:7 Page:24988-24994
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Wang Wei¹²³⁴,Jiang Hui¹²³⁴^ORCID,Liu Guohai¹²³⁴,Chen Quansheng⁵²³⁴,Mei Congli¹²³⁴,Li Kangji¹²³⁴,Huang Yonghong¹²³⁴

Affiliation:

1. School of Electrical and Information Engineering

2. Jiangsu University

3. Zhenjiang 212013

4. PR China

5. School of Food and Biological Engineering

Abstract

To improve the yield of industrial fermentation, herein, we report a method based on Fourier-transform near-infrared spectroscopy (FT-NIR) to predict the growth of yeast.

Funder

National Natural Science Foundation of Jiangsu Province

China Postdoctoral Science Foundation

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2017/RA/C7RA02774E

Reference29 articles.

1. Ethanol production by solid state fermentation of sweet sorghum using thermotolerant yeast strain

2. Control of alcoholic fermentation in winemaking: Current situation and prospect

3. Fermentations of Pectin-Rich Biomass with Recombinant Bacteria to Produce Fuel Ethanol

4. NIR spectroscopy as a process analytical technology (PAT) tool for on-line and real-time monitoring of an extraction process

5. Application of linear/non-linear classification algorithms in discrimination of pork storage time using Fourier transform near infrared (FT-NIR) spectroscopy

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