scholarly journals Ultrasound-assisted lactic acid based deep eutectic solvent extraction of phenolic antioxidants from Thymus broussonetii: A Box – Behnken design approach for optimization

2021 ◽  
Vol 842 (1) ◽  
pp. 012022
Author(s):  
S Kaoui ◽  
B Chebli ◽  
G Ait Baddi ◽  
K Basaid ◽  
M Zaafrani ◽  
...  
Molecules ◽  
2020 ◽  
Vol 25 (22) ◽  
pp. 5456
Author(s):  
Hongkun Xue ◽  
Jiaqi Tan ◽  
Qian Li ◽  
Jintian Tang ◽  
Xu Cai

Blueberry wine residues produced during the wine-brewing process contain abundant anthocyanins and other bioactive compounds. To extract anthocyanins from blueberry wine residues more efficiently, a novel procedure of ultrasound-assisted deep eutectic solvent extraction (UADESE) was proposed in this work. The extraction process was optimized by response surface methodology coupled with genetic algorithm. The optimum extraction parameters to achieve the highest yield of anthocyanins (9.32 ± 0.08 mg/g) from blueberry wine residues by UADESE were obtained at water content of 29%, ultrasonic power of 380 W, extraction temperature of 55 °C, and extraction time of 40 min. The AB-8 macroporous resin combined with Sephadex LH-20 techniques was used to purify the crude extract (CE) obtained under optimum extraction conditions and analyze the anthocyanins composition by HPLC-ESI-MS/MS. The cyanidin-3-rutinoside with purity of 92.81% was obtained. The HepG2 antitumor activity of CE was better than that of the purified anthocyanins component. Moreover, CE could increase the intracellular reactive oxygen species levels and the apoptosis, and arrest HepG2 cells in the S phases. These findings provided an effective and feasible method for anthocyanins extraction, and reduced the environmental burden of this waste.


2020 ◽  
Vol 151 ◽  
pp. 112442 ◽  
Author(s):  
Xinsheng Wang ◽  
Yanfang Wu ◽  
Jie Li ◽  
Aoxiang Wang ◽  
Guangyao Li ◽  
...  

2019 ◽  
Vol 92 (3) ◽  
pp. 369-377
Author(s):  
Barbara Fumić ◽  
Mario Jug ◽  
Marijana Zovko Končić

Ultrasound-assisted extraction of phenolic antioxidants from Lotus corniculatus was optimized using response surface methodology. The extraction was performed according to the Box–Behnken design with ethanol concentration, temperature, and pH, as independent variables. The responses were extraction yield, DPPH radical scavenging activity (RSA) IC50 and content of different phenolic compounds (total phenols, flavonoids and phenolic acids, as well as quercetin, kaempferol and genistein derivatives). The models were used to calculate best conditions for maximal extraction of phenolic compounds and antiradical activity. Use of the optimized extraction parameters increased the content of quercetin and kaempferol derivatives more than tenfold (from 6.07 to 65.10 mg mL–1 and 6.69 to 92.75 mg mL–1, respectively). The results of this work stress the importance of careful selection of conditions for flavonoids extraction. Abundance of bioactive phenolics in L. corniculatus extracts obtained under optimized extraction conditions opens the possibility for wider utilization of this plant.


2018 ◽  
Vol 42 (9) ◽  
pp. e13743 ◽  
Author(s):  
Chin Hong Geow ◽  
Mei Ching Tan ◽  
Swee Pin Yeap ◽  
Nyuk Ling Chin

2020 ◽  
pp. 1-7
Author(s):  
Sue Chen ◽  
Qi An ◽  
Hong Sun ◽  
Mengqian Mao

Abstract A simple, inexpensive and sensitive method was developed for the simultaneous determination of three pesticide residues (carbendazim, thiophanate-methyl, and imidacloprid) in fruit and vegetable samples using high performance liquid chromatography (HPLC) based on a combined pretreatment of ultrasound-assisted deep eutectic solvent extraction (UA-DES-E) and liquid-liquid extraction (LLE). In this study, various types of deep eutectic solvents (DESs) were synthesized and the extraction efficiency was compared as extraction solvents. Results showed that glycerol-proline = 9:4 (GP-5) obtained the highest extraction efficiency among different types of DESs. Experiment conditions, including DES volume, extraction time and pH, were systematically optimized using single-factor experiment. Under the optimum conditions, the limits of detection (LODs) and quantification (LOQs) were in the ranges of 0.05–0.2 μg·mL−1 and 0.1–0.5 μg·mL−1, respectively. The relative recoveries of the three pesticides in the fruit and vegetable samples ranged from 85.7 to 113.0% at two spiked levels. Meanwhile, the method achieved excellent linearity with determination coefficients (r) greater than 0.999. Furthermore, the method was successfully applied to the analysis of the pesticides in real fruit and vegetable samples (apple, tomato, and grape).


2021 ◽  
Author(s):  
Oseweuba Valentine Okoro ◽  
Hafez Jafari ◽  
Parinaz Hobbi ◽  
Lei Nie ◽  
Houman Alimoradi ◽  
...  

AbstractIn this study, the solubilisation of waste coarse wool as a precursory step for the large scale valorisation of keratin was investigated using a green deep eutectic solvent (DES) based on L-cysteine and lactic acid. The investigation was undertaken via the response surface methodology and based on the Box-Behnken design for four process variables of temperature (70-110 °C), dissolution time (2-10 h), the mass of L-cysteine (0.5-2.5 g) in 20 mL of lactic acid, and wool load in the DES (0.2-0.6 g). The effect of variations in temperature was established to be the most significant process variable influencing keratin yield from waste coarse wool in the current work. An optimum keratin yield (93.77 wt.%) was obtained at the temperature of 105 °C, 8 h dissolution time, with 1.6 g L-cysteine in 20 mL of lactic acid using 0.5 g of wool. This study suggests L-cysteine and lactic acid as a green solvent with the potential to scale up keratin recovery from waste wool without significant destruction in the structure of the recovered keratin.HighlightsKeratin recovery from wool using deep eutectic solvent was assessedThe basis for the use of the new deep eutectic solvent was discussedThe effects of the process variables on keratin yield were exploredKeratin recovered was optimised and characterised.


2020 ◽  
Vol 43 (17) ◽  
pp. 3441-3448
Author(s):  
Yinan Wang ◽  
Youhui Hu ◽  
Hui Wang ◽  
Minghui Tong ◽  
Yinhan Gong

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