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Open AccessArticle

Optimization Ultrasound-Assisted Deep Eutectic Solvent Extraction of Anthocyanins from Raspberry Using Response Surface Methodology Coupled with Genetic Algorithm

1
Key Laboratory of Particle & Radiation Imaging, Ministry of Education, Department of Engineering Physics, Tsinghua University, No. 30 Shuangqing Road, Haidian District, Beijing 100084, China
2
Academy for Advanced Interdisciplinary Studies, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing 100871, China
*
Author to whom correspondence should be addressed.
Foods 2020, 9(10), 1409; https://doi.org/10.3390/foods9101409
Received: 4 September 2020 / Revised: 20 September 2020 / Accepted: 30 September 2020 / Published: 4 October 2020
(This article belongs to the Section Food Analytical Methods)
Raspberries have been reported to contain abundant anthocyanins and other active compounds. To extract anthocyanins from raspberries more efficiently, a novel procedure of ultrasound-assisted deep eutectic solvent extraction (UADESE) was proposed in this paper. The extraction process was optimized by response surface methodology coupled with a genetic algorithm. The optimum extraction parameters to achieve the highest yield of anthocyanins 1.378 ± 0.009 mg/g from raspberry powder via UADESE were obtained at a water content of 29%, ultrasonic power of 210 W, extraction temperature of 51 °C and extraction time of 32 min. The AB-8 macroporous resin combined with the high-speed counter current chromatography (HSCCC) method were further used to isolate and purify the anthocyanins extracts obtained under optimum extraction conditions, and the structure of purified anthocyanins components were identified by UV-Visible spectrophotometer (UV-Vis), high-performance liquid chromatography (HPLC), high-performance liquid chromatography-electrospray ionization-mass spectrometry (HPLC-ESI-MS/MS), 1H nuclear magnetic resonance (NMR) and 13C-NMR spectra. The two anthocyanins (cyanidin-3-glucoside with a purity of 92.25% and cyanidin-3-rutinoside with a purity of 93.07%) identified were consistent with those present in raspberries. These findings provided an effective and feasible method for extraction, isolation and purification of anthocyanins from natural plant resources. View Full-Text
Keywords: raspberry; anthocyanins; ultrasound-assisted deep eutectic solvent extraction; optimization; anthocyanins structure raspberry; anthocyanins; ultrasound-assisted deep eutectic solvent extraction; optimization; anthocyanins structure
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MDPI and ACS Style

Xue, H.; Tan, J.; Li, Q.; Tang, J.; Cai, X. Optimization Ultrasound-Assisted Deep Eutectic Solvent Extraction of Anthocyanins from Raspberry Using Response Surface Methodology Coupled with Genetic Algorithm. Foods 2020, 9, 1409. https://doi.org/10.3390/foods9101409

AMA Style

Xue H, Tan J, Li Q, Tang J, Cai X. Optimization Ultrasound-Assisted Deep Eutectic Solvent Extraction of Anthocyanins from Raspberry Using Response Surface Methodology Coupled with Genetic Algorithm. Foods. 2020; 9(10):1409. https://doi.org/10.3390/foods9101409

Chicago/Turabian Style

Xue, Hongkun; Tan, Jiaqi; Li, Qian; Tang, Jintian; Cai, Xu. 2020. "Optimization Ultrasound-Assisted Deep Eutectic Solvent Extraction of Anthocyanins from Raspberry Using Response Surface Methodology Coupled with Genetic Algorithm" Foods 9, no. 10: 1409. https://doi.org/10.3390/foods9101409

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