NSGA-II Genetic Algorithm Combined with Response Surface Methodology to Optimize the Extraction Process of Active Ingredients of <i>Inonotus obliquus</i>

YUN Haocheng; YU Fanhua; CHENG Du; LIU Zhen; NIU Huazhou; HOU Wanchao; LI Sainan; LIU Chunming; ZHANG Yuchi

doi:10.13386/j.issn1002-0306.2021110075

Volume 43 Issue 17

Aug. 2022

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Science and Technology of Food Industry > 2022 > 43(17): 185-193. > DOI: 10.13386/j.issn1002-0306.2021110075

YUN Haocheng, YU Fanhua, CHENG Du, et al. NSGA-II Genetic Algorithm Combined with Response Surface Methodology to Optimize the Extraction Process of Active Ingredients of Inonotus obliquus[J]. Science and Technology of Food Industry, 2022, 43(17): 185−193. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021110075.

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NSGA-II Genetic Algorithm Combined with Response Surface Methodology to Optimize the Extraction Process of Active Ingredients of Inonotus obliquus

1.
Changchun Normal University Central Laboratory, Changchun 130032, China
2.
College of Computer Science and Technology, Changchun Normal University, Changchun 130032, China

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Received Date: November 07, 2021
Available Online: July 04, 2022

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Abstract

Abstract

This paper aimed to investigate the extraction process of total flavonoids and triterpenes in Inonotus obliquus by ultrasound-assisted enzymatic extraction. The UV spectrophotometric method was used as the detection method, the extraction rate of total triterpenes and flavonoids was used as the evaluation index, the effects of enzyme addition, enzymatic digestion time, liquid to material ratio and ethanol concentration on the extraction rate were investigated, and the best extraction process was obtained by NSGA-II genetic algorithm combined with response surface analysis. Finally, the main chemical components in Inonotus obliquus were analyzed and identified using ultra performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS). The optimal extraction process for simultaneous extraction of total triterpenes and flavonoids from Inonotus obliquus was obtained by the Pareto front surface B region scheme, and the optimal extraction conditions were determined as enzyme addition of 1.9%, enzymatic digestion time of 45 min, liquid to material ratio of 20 mL/g, and ethanol concentration of 64%. The average extraction rates of total triterpenes and flavonoids were 2.670%±0.05% and 5.356%±0.09%, and the relative errors were 0.75% and 0.70% with the predicted average extraction rates. It was identified that Inonotus obliquus contained four active ingredients: Betulin, lanosterol, osmundacetone and quercetin. The above proved that the test indexes of NSGA-II genetic algorithm combined with response surface optimization of Inonotus obliquus fungus extraction process fitted well with the predicted results.
- Inonotus obliquus,
- triterpene,
- flavone,
- response surface methodology,
- multi-objective optimization,
- NSGA-II

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