Combined ANFIS and numerical methods to reveal the mass transfer mechanism of ultrasound-enhanced extraction of proteins from millet.
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| Title: | Combined ANFIS and numerical methods to reveal the mass transfer mechanism of ultrasound-enhanced extraction of proteins from millet. |
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| Authors: | Ma, Yan-rong1 (AUTHOR), Xu, Yong-qiang2 (AUTHOR), Guo, Wen1 (AUTHOR), Shi, Yi-lin1 (AUTHOR), Wu, Yue1 (AUTHOR) wu.yue@njau.edu.cn, Chen, Zhi-gang1 (AUTHOR) zgchen@njau.edu.cn |
| Source: | Ultrasonics Sonochemistry. Dec2024, Vol. 111, pN.PAG-N.PAG. 1p. |
| Subjects: | Essential amino acids, Bubble dynamics, Diffusion coefficients, Cavitation, Molecular weights |
| Abstract: | Millet protein, as a promising plant-based protein substitute source, is an excellent basis for essential amino acids compared to commonly consumed staple grains. Compared with the traditional extraction process, ultrasound has been used to enhance the extraction efficiency of various plant-based proteins. To reveal the mechanism of ultrasound-enhanced extraction of proteins, adaptive neuro-fuzzy inference system (ANFIS) algorithm and numerical simulation based on Fick's law were applied to illustrate the mass transfer behavior of millet proteins under different ultrasonic conditions including solid–liquid ratios (S/L ratios), pH and acoustic energy density levels (AED). The results showed that AED dominated the changes in effective diffusion coefficient (D e), showing a positive correlation relationship (p < 0.05). Specifically, when the AED was 47.07 W/cm2, the D e value increased by 95% compared to that of 23.47 W/cm2. Meanwhile, the ANFIS model successfully predicted protein yields across all investigated parameters, achieving a coefficient of determination (R2) greater than 0.97. This model also elucidated the interactions among four critical factors, among which pH and S/L ratios were the main factors affecting protein yield. Concerning the ultrasonic cavitation bubble dynamics, the bubble collapse efficiency enhanced with an increase in AED, and therefore high AED ultrasound can significantly enhance the cavitation effect. Additionally, the results of the yields and physical properties of millet protein also indicated that in contrast with the traditional extraction methods, the ultrasound impactfully improved extraction yield (by 165%), and combined with pH condition, it decreased the protein particle size (from 813.55 nm to 299.30 nm) without altering the molecular weight distribution. This study offers a novel perspective on the mechanism underlying ultrasound-enhanced protein extraction, drawing upon principles of ultrasonics and extraction processes. The insights gained can serve as a foundation for the food industry to upscale the extraction process, potentially enhancing efficiency and yield. [ABSTRACT FROM AUTHOR] |
| Copyright of Ultrasonics Sonochemistry is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 181037223 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Combined ANFIS and numerical methods to reveal the mass transfer mechanism of ultrasound-enhanced extraction of proteins from millet. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ma%2C+Yan-rong%22">Ma, Yan-rong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Yong-qiang%22">Xu, Yong-qiang</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guo%2C+Wen%22">Guo, Wen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shi%2C+Yi-lin%22">Shi, Yi-lin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Yue%22">Wu, Yue</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> wu.yue@njau.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Zhi-gang%22">Chen, Zhi-gang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zgchen@njau.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Ultrasonics+Sonochemistry%22">Ultrasonics Sonochemistry</searchLink>. Dec2024, Vol. 111, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Essential+amino+acids%22">Essential amino acids</searchLink><br /><searchLink fieldCode="DE" term="%22Bubble+dynamics%22">Bubble dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Diffusion+coefficients%22">Diffusion coefficients</searchLink><br /><searchLink fieldCode="DE" term="%22Cavitation%22">Cavitation</searchLink><br /><searchLink fieldCode="DE" term="%22Molecular+weights%22">Molecular weights</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Millet protein, as a promising plant-based protein substitute source, is an excellent basis for essential amino acids compared to commonly consumed staple grains. Compared with the traditional extraction process, ultrasound has been used to enhance the extraction efficiency of various plant-based proteins. To reveal the mechanism of ultrasound-enhanced extraction of proteins, adaptive neuro-fuzzy inference system (ANFIS) algorithm and numerical simulation based on Fick's law were applied to illustrate the mass transfer behavior of millet proteins under different ultrasonic conditions including solid–liquid ratios (S/L ratios), pH and acoustic energy density levels (AED). The results showed that AED dominated the changes in effective diffusion coefficient (D e), showing a positive correlation relationship (p < 0.05). Specifically, when the AED was 47.07 W/cm2, the D e value increased by 95% compared to that of 23.47 W/cm2. Meanwhile, the ANFIS model successfully predicted protein yields across all investigated parameters, achieving a coefficient of determination (R2) greater than 0.97. This model also elucidated the interactions among four critical factors, among which pH and S/L ratios were the main factors affecting protein yield. Concerning the ultrasonic cavitation bubble dynamics, the bubble collapse efficiency enhanced with an increase in AED, and therefore high AED ultrasound can significantly enhance the cavitation effect. Additionally, the results of the yields and physical properties of millet protein also indicated that in contrast with the traditional extraction methods, the ultrasound impactfully improved extraction yield (by 165%), and combined with pH condition, it decreased the protein particle size (from 813.55 nm to 299.30 nm) without altering the molecular weight distribution. This study offers a novel perspective on the mechanism underlying ultrasound-enhanced protein extraction, drawing upon principles of ultrasonics and extraction processes. The insights gained can serve as a foundation for the food industry to upscale the extraction process, potentially enhancing efficiency and yield. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Ultrasonics Sonochemistry is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.ultsonch.2024.107153 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Essential amino acids Type: general – SubjectFull: Bubble dynamics Type: general – SubjectFull: Diffusion coefficients Type: general – SubjectFull: Cavitation Type: general – SubjectFull: Molecular weights Type: general Titles: – TitleFull: Combined ANFIS and numerical methods to reveal the mass transfer mechanism of ultrasound-enhanced extraction of proteins from millet. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ma, Yan-rong – PersonEntity: Name: NameFull: Xu, Yong-qiang – PersonEntity: Name: NameFull: Guo, Wen – PersonEntity: Name: NameFull: Shi, Yi-lin – PersonEntity: Name: NameFull: Wu, Yue – PersonEntity: Name: NameFull: Chen, Zhi-gang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 13504177 Numbering: – Type: volume Value: 111 Titles: – TitleFull: Ultrasonics Sonochemistry Type: main |
| ResultId | 1 |
