A Hybrid RSM-ANN-GA Approach on Optimization of Ultrasound-Assisted Extraction Conditions for Bioactive Component-Rich Stevia rebaudiana (Bertoni) Leaves Extract

Foods

Saqib Ameer¹  Muhammad Abubakar²  Young-Min Kim³  Muhammad Asif Khan⁴  Mian Anjum Murtaza⁵  Muhammad Nadeem⁵  Ghulam Mueen-ud-Din⁵  Tusneem Kausar⁵  Kashif Ameer⁵  Shahid Mahmood⁵  Mi-Kyung Park⁶  Muhammad Adnan Nasir⁷ 

[1] Department of Computer Science & Information Technology, Faculty of Information Technology, The University of Lahore, Lahore Campus, Defense Road, Lahore 54000, Pakistan;Department of Electrical Engineering, Quaid-e-Azam College of Engineering & Technology, Sahiwal 57000, Pakistan;Department of Food Science & Technology, Chonnam National University, Gwangju 61186, Korea;Department of Food Science and Technology, Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan;Institute of Food Science and Nutrition, University of Sargodha, Sargodha 40100, Pakistan;School of Food Science and Biotechnology, Kyungpook National University, Daegu 41566, Korea;University Institute of Diet and Nutritional Sciences, The University of Lahore, Gujrat Campus, Gujrat 50700, Pakistan;

关键词: Stevia rebaudiana;    ultrasound-assisted extraction;    stevioside;    rebaudioside-A;    optimization;   

DOI  :  10.3390/foods11060883

来源: DOAJ

【 摘 要 】

Stevia rebaudiana (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 (X₁: 0–100%), sonication time (X₂: 10–54 min), and leaf–solvent ratio (X₃: 0.148–0.313 g·mL⁻¹). The maximum target responses were obtained at optimum UAE conditions of 75% (X₁), 43 min (X₂), and 0.28 g·mL⁻¹ (X₃). 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 CO₂ 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.

【 授权许可】

Unknown