A Hybrid RSM-ANN-GA Approach on Optimization of Ultrasound-Assisted Extraction Conditions for Bioactive Component-Rich <i<Stevia rebaudiana</i< (Bertoni) Leaves Extract
<i<Stevia rebaudiana</i< (Bertoni) leaves consist of dietetically important diterpene steviol glycosides (SGs): stevioside (ST) and rebaudioside-A (Reb-A). ST and Reb-A are key sweetening compounds exhibiting a sweetening potential of 100 to 300 times more intense than that of table sucr...
Ausführliche Beschreibung
Autor*in: |
Kashif Ameer [verfasserIn] Saqib Ameer [verfasserIn] Young-Min Kim [verfasserIn] Muhammad Nadeem [verfasserIn] Mi-Kyung Park [verfasserIn] Mian Anjum Murtaza [verfasserIn] Muhammad Asif Khan [verfasserIn] Muhammad Adnan Nasir [verfasserIn] Ghulam Mueen-ud-Din [verfasserIn] Shahid Mahmood [verfasserIn] Tusneem Kausar [verfasserIn] Muhammad Abubakar [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2022 |
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Übergeordnetes Werk: |
In: Foods - MDPI AG, 2013, 11(2022), 6, p 883 |
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Übergeordnetes Werk: |
volume:11 ; year:2022 ; number:6, p 883 |
Links: |
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DOI / URN: |
10.3390/foods11060883 |
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Katalog-ID: |
DOAJ006431011 |
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520 | |a <i<Stevia rebaudiana</i< (Bertoni) leaves consist of dietetically important diterpene steviol glycosides (SGs): stevioside (ST) and rebaudioside-A (Reb-A). ST and Reb-A are key sweetening compounds exhibiting a sweetening potential of 100 to 300 times more intense than that of table sucrose. Ultrasound-assisted extraction (UAE) of SGs was optimized by effective process optimization techniques, such as response surface methodology (RSM) and artificial neural network (ANN) modeling coupled with genetic algorithm (GA) as a function of ethanol concentration (<i<X</i<<sub<1</sub<: 0–100%), sonication time (<i<X</i<<sub<2</sub<: 10–54 min), and leaf–solvent ratio (<i<X</i<<sub<3</sub<: 0.148–0.313 g·mL<sup<−1</sup<). The maximum target responses were obtained at optimum UAE conditions of 75% (<i<X</i<<sub<1</sub<), 43 min (<i<X</i<<sub<2</sub<), and 0.28 g·mL<sup<−1</sup< (<i<X</i<<sub<3</sub<). ANN-GA as a potential alternative indicated superiority to RSM. UAE as a green technology proved superior to conventional maceration extraction (CME) with reduced resource consumption. Moreover, UAE resulted in a higher total extract yield (TEY) and SGs including Reb-A and ST yields as compared to those that were obtained by CME with a marked reduction in resource consumption and CO<sub<2</sub< emission. The findings of the present study evidenced the significance of UAE as an ecofriendly extraction method for extracting SGs, and UAE scale-up could be employed for effectiveness on an industrial scale. These findings evidenced that the UAE is a high-efficiency extraction method with an improved statistical approach. | ||
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10.3390/foods11060883 doi (DE-627)DOAJ006431011 (DE-599)DOAJd1a765c4f0d64fa59af9a6634b2b859d DE-627 ger DE-627 rakwb eng TP1-1185 Kashif Ameer verfasserin aut A Hybrid RSM-ANN-GA Approach on Optimization of Ultrasound-Assisted Extraction Conditions for Bioactive Component-Rich <i<Stevia rebaudiana</i< (Bertoni) Leaves Extract 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <i<Stevia rebaudiana</i< (Bertoni) leaves consist of dietetically important diterpene steviol glycosides (SGs): stevioside (ST) and rebaudioside-A (Reb-A). ST and Reb-A are key sweetening compounds exhibiting a sweetening potential of 100 to 300 times more intense than that of table sucrose. Ultrasound-assisted extraction (UAE) of SGs was optimized by effective process optimization techniques, such as response surface methodology (RSM) and artificial neural network (ANN) modeling coupled with genetic algorithm (GA) as a function of ethanol concentration (<i<X</i<<sub<1</sub<: 0–100%), sonication time (<i<X</i<<sub<2</sub<: 10–54 min), and leaf–solvent ratio (<i<X</i<<sub<3</sub<: 0.148–0.313 g·mL<sup<−1</sup<). The maximum target responses were obtained at optimum UAE conditions of 75% (<i<X</i<<sub<1</sub<), 43 min (<i<X</i<<sub<2</sub<), and 0.28 g·mL<sup<−1</sup< (<i<X</i<<sub<3</sub<). ANN-GA as a potential alternative indicated superiority to RSM. UAE as a green technology proved superior to conventional maceration extraction (CME) with reduced resource consumption. Moreover, UAE resulted in a higher total extract yield (TEY) and SGs including Reb-A and ST yields as compared to those that were obtained by CME with a marked reduction in resource consumption and CO<sub<2</sub< emission. The findings of the present study evidenced the significance of UAE as an ecofriendly extraction method for extracting SGs, and UAE scale-up could be employed for effectiveness on an industrial scale. These findings evidenced that the UAE is a high-efficiency extraction method with an improved statistical approach. <i<Stevia rebaudiana</i< ultrasound-assisted extraction stevioside rebaudioside-A optimization Chemical technology Saqib Ameer verfasserin aut Young-Min Kim verfasserin aut Muhammad Nadeem verfasserin aut Mi-Kyung Park verfasserin aut Mian Anjum Murtaza verfasserin aut Muhammad Asif Khan verfasserin aut Muhammad Adnan Nasir verfasserin aut Ghulam Mueen-ud-Din verfasserin aut Shahid Mahmood verfasserin aut Tusneem Kausar verfasserin aut Muhammad Abubakar verfasserin aut In Foods MDPI AG, 2013 11(2022), 6, p 883 (DE-627)737287632 (DE-600)2704223-6 23048158 nnns volume:11 year:2022 number:6, p 883 https://doi.org/10.3390/foods11060883 kostenfrei https://doaj.org/article/d1a765c4f0d64fa59af9a6634b2b859d kostenfrei https://www.mdpi.com/2304-8158/11/6/883 kostenfrei https://doaj.org/toc/2304-8158 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2022 6, p 883 |
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10.3390/foods11060883 doi (DE-627)DOAJ006431011 (DE-599)DOAJd1a765c4f0d64fa59af9a6634b2b859d DE-627 ger DE-627 rakwb eng TP1-1185 Kashif Ameer verfasserin aut A Hybrid RSM-ANN-GA Approach on Optimization of Ultrasound-Assisted Extraction Conditions for Bioactive Component-Rich <i<Stevia rebaudiana</i< (Bertoni) Leaves Extract 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <i<Stevia rebaudiana</i< (Bertoni) leaves consist of dietetically important diterpene steviol glycosides (SGs): stevioside (ST) and rebaudioside-A (Reb-A). ST and Reb-A are key sweetening compounds exhibiting a sweetening potential of 100 to 300 times more intense than that of table sucrose. Ultrasound-assisted extraction (UAE) of SGs was optimized by effective process optimization techniques, such as response surface methodology (RSM) and artificial neural network (ANN) modeling coupled with genetic algorithm (GA) as a function of ethanol concentration (<i<X</i<<sub<1</sub<: 0–100%), sonication time (<i<X</i<<sub<2</sub<: 10–54 min), and leaf–solvent ratio (<i<X</i<<sub<3</sub<: 0.148–0.313 g·mL<sup<−1</sup<). The maximum target responses were obtained at optimum UAE conditions of 75% (<i<X</i<<sub<1</sub<), 43 min (<i<X</i<<sub<2</sub<), and 0.28 g·mL<sup<−1</sup< (<i<X</i<<sub<3</sub<). ANN-GA as a potential alternative indicated superiority to RSM. UAE as a green technology proved superior to conventional maceration extraction (CME) with reduced resource consumption. Moreover, UAE resulted in a higher total extract yield (TEY) and SGs including Reb-A and ST yields as compared to those that were obtained by CME with a marked reduction in resource consumption and CO<sub<2</sub< emission. The findings of the present study evidenced the significance of UAE as an ecofriendly extraction method for extracting SGs, and UAE scale-up could be employed for effectiveness on an industrial scale. These findings evidenced that the UAE is a high-efficiency extraction method with an improved statistical approach. <i<Stevia rebaudiana</i< ultrasound-assisted extraction stevioside rebaudioside-A optimization Chemical technology Saqib Ameer verfasserin aut Young-Min Kim verfasserin aut Muhammad Nadeem verfasserin aut Mi-Kyung Park verfasserin aut Mian Anjum Murtaza verfasserin aut Muhammad Asif Khan verfasserin aut Muhammad Adnan Nasir verfasserin aut Ghulam Mueen-ud-Din verfasserin aut Shahid Mahmood verfasserin aut Tusneem Kausar verfasserin aut Muhammad Abubakar verfasserin aut In Foods MDPI AG, 2013 11(2022), 6, p 883 (DE-627)737287632 (DE-600)2704223-6 23048158 nnns volume:11 year:2022 number:6, p 883 https://doi.org/10.3390/foods11060883 kostenfrei https://doaj.org/article/d1a765c4f0d64fa59af9a6634b2b859d kostenfrei https://www.mdpi.com/2304-8158/11/6/883 kostenfrei https://doaj.org/toc/2304-8158 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2022 6, p 883 |
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10.3390/foods11060883 doi (DE-627)DOAJ006431011 (DE-599)DOAJd1a765c4f0d64fa59af9a6634b2b859d DE-627 ger DE-627 rakwb eng TP1-1185 Kashif Ameer verfasserin aut A Hybrid RSM-ANN-GA Approach on Optimization of Ultrasound-Assisted Extraction Conditions for Bioactive Component-Rich <i<Stevia rebaudiana</i< (Bertoni) Leaves Extract 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <i<Stevia rebaudiana</i< (Bertoni) leaves consist of dietetically important diterpene steviol glycosides (SGs): stevioside (ST) and rebaudioside-A (Reb-A). ST and Reb-A are key sweetening compounds exhibiting a sweetening potential of 100 to 300 times more intense than that of table sucrose. Ultrasound-assisted extraction (UAE) of SGs was optimized by effective process optimization techniques, such as response surface methodology (RSM) and artificial neural network (ANN) modeling coupled with genetic algorithm (GA) as a function of ethanol concentration (<i<X</i<<sub<1</sub<: 0–100%), sonication time (<i<X</i<<sub<2</sub<: 10–54 min), and leaf–solvent ratio (<i<X</i<<sub<3</sub<: 0.148–0.313 g·mL<sup<−1</sup<). The maximum target responses were obtained at optimum UAE conditions of 75% (<i<X</i<<sub<1</sub<), 43 min (<i<X</i<<sub<2</sub<), and 0.28 g·mL<sup<−1</sup< (<i<X</i<<sub<3</sub<). ANN-GA as a potential alternative indicated superiority to RSM. UAE as a green technology proved superior to conventional maceration extraction (CME) with reduced resource consumption. Moreover, UAE resulted in a higher total extract yield (TEY) and SGs including Reb-A and ST yields as compared to those that were obtained by CME with a marked reduction in resource consumption and CO<sub<2</sub< emission. The findings of the present study evidenced the significance of UAE as an ecofriendly extraction method for extracting SGs, and UAE scale-up could be employed for effectiveness on an industrial scale. These findings evidenced that the UAE is a high-efficiency extraction method with an improved statistical approach. <i<Stevia rebaudiana</i< ultrasound-assisted extraction stevioside rebaudioside-A optimization Chemical technology Saqib Ameer verfasserin aut Young-Min Kim verfasserin aut Muhammad Nadeem verfasserin aut Mi-Kyung Park verfasserin aut Mian Anjum Murtaza verfasserin aut Muhammad Asif Khan verfasserin aut Muhammad Adnan Nasir verfasserin aut Ghulam Mueen-ud-Din verfasserin aut Shahid Mahmood verfasserin aut Tusneem Kausar verfasserin aut Muhammad Abubakar verfasserin aut In Foods MDPI AG, 2013 11(2022), 6, p 883 (DE-627)737287632 (DE-600)2704223-6 23048158 nnns volume:11 year:2022 number:6, p 883 https://doi.org/10.3390/foods11060883 kostenfrei https://doaj.org/article/d1a765c4f0d64fa59af9a6634b2b859d kostenfrei https://www.mdpi.com/2304-8158/11/6/883 kostenfrei https://doaj.org/toc/2304-8158 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2022 6, p 883 |
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A Hybrid RSM-ANN-GA Approach on Optimization of Ultrasound-Assisted Extraction Conditions for Bioactive Component-Rich <i<Stevia rebaudiana</i< (Bertoni) Leaves Extract |
abstract |
<i<Stevia rebaudiana</i< (Bertoni) leaves consist of dietetically important diterpene steviol glycosides (SGs): stevioside (ST) and rebaudioside-A (Reb-A). ST and Reb-A are key sweetening compounds exhibiting a sweetening potential of 100 to 300 times more intense than that of table sucrose. Ultrasound-assisted extraction (UAE) of SGs was optimized by effective process optimization techniques, such as response surface methodology (RSM) and artificial neural network (ANN) modeling coupled with genetic algorithm (GA) as a function of ethanol concentration (<i<X</i<<sub<1</sub<: 0–100%), sonication time (<i<X</i<<sub<2</sub<: 10–54 min), and leaf–solvent ratio (<i<X</i<<sub<3</sub<: 0.148–0.313 g·mL<sup<−1</sup<). The maximum target responses were obtained at optimum UAE conditions of 75% (<i<X</i<<sub<1</sub<), 43 min (<i<X</i<<sub<2</sub<), and 0.28 g·mL<sup<−1</sup< (<i<X</i<<sub<3</sub<). ANN-GA as a potential alternative indicated superiority to RSM. UAE as a green technology proved superior to conventional maceration extraction (CME) with reduced resource consumption. Moreover, UAE resulted in a higher total extract yield (TEY) and SGs including Reb-A and ST yields as compared to those that were obtained by CME with a marked reduction in resource consumption and CO<sub<2</sub< emission. The findings of the present study evidenced the significance of UAE as an ecofriendly extraction method for extracting SGs, and UAE scale-up could be employed for effectiveness on an industrial scale. These findings evidenced that the UAE is a high-efficiency extraction method with an improved statistical approach. |
abstractGer |
<i<Stevia rebaudiana</i< (Bertoni) leaves consist of dietetically important diterpene steviol glycosides (SGs): stevioside (ST) and rebaudioside-A (Reb-A). ST and Reb-A are key sweetening compounds exhibiting a sweetening potential of 100 to 300 times more intense than that of table sucrose. Ultrasound-assisted extraction (UAE) of SGs was optimized by effective process optimization techniques, such as response surface methodology (RSM) and artificial neural network (ANN) modeling coupled with genetic algorithm (GA) as a function of ethanol concentration (<i<X</i<<sub<1</sub<: 0–100%), sonication time (<i<X</i<<sub<2</sub<: 10–54 min), and leaf–solvent ratio (<i<X</i<<sub<3</sub<: 0.148–0.313 g·mL<sup<−1</sup<). The maximum target responses were obtained at optimum UAE conditions of 75% (<i<X</i<<sub<1</sub<), 43 min (<i<X</i<<sub<2</sub<), and 0.28 g·mL<sup<−1</sup< (<i<X</i<<sub<3</sub<). ANN-GA as a potential alternative indicated superiority to RSM. UAE as a green technology proved superior to conventional maceration extraction (CME) with reduced resource consumption. Moreover, UAE resulted in a higher total extract yield (TEY) and SGs including Reb-A and ST yields as compared to those that were obtained by CME with a marked reduction in resource consumption and CO<sub<2</sub< emission. The findings of the present study evidenced the significance of UAE as an ecofriendly extraction method for extracting SGs, and UAE scale-up could be employed for effectiveness on an industrial scale. These findings evidenced that the UAE is a high-efficiency extraction method with an improved statistical approach. |
abstract_unstemmed |
<i<Stevia rebaudiana</i< (Bertoni) leaves consist of dietetically important diterpene steviol glycosides (SGs): stevioside (ST) and rebaudioside-A (Reb-A). ST and Reb-A are key sweetening compounds exhibiting a sweetening potential of 100 to 300 times more intense than that of table sucrose. Ultrasound-assisted extraction (UAE) of SGs was optimized by effective process optimization techniques, such as response surface methodology (RSM) and artificial neural network (ANN) modeling coupled with genetic algorithm (GA) as a function of ethanol concentration (<i<X</i<<sub<1</sub<: 0–100%), sonication time (<i<X</i<<sub<2</sub<: 10–54 min), and leaf–solvent ratio (<i<X</i<<sub<3</sub<: 0.148–0.313 g·mL<sup<−1</sup<). The maximum target responses were obtained at optimum UAE conditions of 75% (<i<X</i<<sub<1</sub<), 43 min (<i<X</i<<sub<2</sub<), and 0.28 g·mL<sup<−1</sup< (<i<X</i<<sub<3</sub<). ANN-GA as a potential alternative indicated superiority to RSM. UAE as a green technology proved superior to conventional maceration extraction (CME) with reduced resource consumption. Moreover, UAE resulted in a higher total extract yield (TEY) and SGs including Reb-A and ST yields as compared to those that were obtained by CME with a marked reduction in resource consumption and CO<sub<2</sub< emission. The findings of the present study evidenced the significance of UAE as an ecofriendly extraction method for extracting SGs, and UAE scale-up could be employed for effectiveness on an industrial scale. These findings evidenced that the UAE is a high-efficiency extraction method with an improved statistical approach. |
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container_issue |
6, p 883 |
title_short |
A Hybrid RSM-ANN-GA Approach on Optimization of Ultrasound-Assisted Extraction Conditions for Bioactive Component-Rich <i<Stevia rebaudiana</i< (Bertoni) Leaves Extract |
url |
https://doi.org/10.3390/foods11060883 https://doaj.org/article/d1a765c4f0d64fa59af9a6634b2b859d https://www.mdpi.com/2304-8158/11/6/883 https://doaj.org/toc/2304-8158 |
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author2 |
Saqib Ameer Young-Min Kim Muhammad Nadeem Mi-Kyung Park Mian Anjum Murtaza Muhammad Asif Khan Muhammad Adnan Nasir Ghulam Mueen-ud-Din Shahid Mahmood Tusneem Kausar Muhammad Abubakar |
author2Str |
Saqib Ameer Young-Min Kim Muhammad Nadeem Mi-Kyung Park Mian Anjum Murtaza Muhammad Asif Khan Muhammad Adnan Nasir Ghulam Mueen-ud-Din Shahid Mahmood Tusneem Kausar Muhammad Abubakar |
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doi_str |
10.3390/foods11060883 |
callnumber-a |
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up_date |
2024-07-03T20:53:34.959Z |
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