Optimisation of extraction conditions for recovering carotenoids and antioxidant capacity from Gac peel using response surface methodology

2017 ◽  
Vol 52 (4) ◽  
pp. 972-980 ◽  
Author(s):  
Hoang V. Chuyen ◽  
Paul D. Roach ◽  
John B. Golding ◽  
Sophie E. Parks ◽  
Minh H. Nguyen
2019 ◽  
pp. 49-59
Author(s):  
Nu Linh Giang Ton ◽  
Thi Hoai Nguyen ◽  
Quoc Hung Vo

Avocado peel has been considered as a potential source of natural antioxidants in which phenolics are among the most important compounds. Therefore, this study aims to optimize the extraction process of phenolics using response surface methodology and evaluate the corresponding antioxidant activity. From the quadratic model, the optimal condition was determined including the ethanol concentration 54.55% (v/v), the solvent/solute ratio 71.82/1 (mL/g), temperature 53.03 oC and extraction time 99.09 min. The total phenolic content and the total antioxidant capacity at this condition with minor modifications were 26,74 ± 0,04 (mg GAE/g DW) and 188.06 ± 1.41 (mg AAE/g DW), respectively. The significant correlation between total phenolic content and total antioxidant capacity was also confirmed. Key words: response surface methodology, central composite rotatable design, total phenolic content, total antioxidant capacity, avocado peel


Molecules ◽  
2020 ◽  
Vol 25 (18) ◽  
pp. 4209
Author(s):  
Anca Becze ◽  
Vanda Liliana Babalau-Fuss ◽  
Cerasel Varaticeanu ◽  
Cecilia Roman

Circular economy principles are based on the use of by-products from one operation as the raw materials in another. The aim of this work is to obtain extracts with high antioxidant capacity and resveratrol content for the superior capitalization of the biomass of Feteasca regala leaves obtained during vineyard horticultural operations in spring. In order to obtain a high-quality extract at an industrial level, an optimal extraction process is needed. Central composite design (CCD) was used for the experiment design, which contained three independent variables: the ratio of extraction solvent to solid matter, temperature (°C) and time (minutes). The evaluation of extracts was done by measuring the total antioxidant capacity of the extracts using photo-chemiluminescent techniques, and the resveratrol content using liquid chromatography. Process optimization was done using response surface methodology (RSM). Minitab software version 17.0 was used for the design of experiments and data analysis. Regression analysis showed that the model predicts 87.5% of the variation for resveratrol and 96% for total antioxidant capacity (TAC). The temperature had the biggest influence on the extraction yield. The optimal operational conditions for the extraction method applied had the following conditions: ratio e/m 2.92; 43.23 °C and 55.4 min. A maximum value of 34,623 µg ascorbic acid equivalent (AAE) /mL total antioxidant capacity and 182.4 µg/mL resveratrol content were obtained when the optimal extraction parameters where used. The values obtained in experiments proved that by using RSM an accurate model can be obtained for extraction of Feteasca regala leaves.


Author(s):  
Ricardo Iván González-Vega ◽  
José Luis Cárdenas-López ◽  
José Antonio López-Elías ◽  
Saúl Ruiz-Cruz ◽  
Aline Reyes-Díaz ◽  
...  

Coatings ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 442
Author(s):  
Tatenda Gift Kawhena ◽  
Umezuruike Linus Opara ◽  
Olaniyi Amos Fawole

The effects of edible coatings based on gum arabic (GA) (0.5–1.5%), maize starch (MS) (0.5–1.5%), lemongrass oil (LO) (2–4%), and glycerol (GC) (0.5–1%) developed using response surface methodology (RSM) on “Wonderful” pomegranate fruit were studied. After 42 days of storage (5 ± 1 °C, 95 ± 2% RH) and 5 days at ambient temperature (20 ± 0.2 °C and 60 ± 10% RH), whole fruit were evaluated for weight loss (%) and pomegranate juice (PJ) for total soluble solids (°Brix), titratable acidity (% Citric acid), and antioxidant capacity. The optimization procedure was done using RSM and the response variables were mainly influenced by the concentrations of MS and GA. The optimized coating consisted of GA (0.5%), MS (0.5%), LO (3%), and GC (1.5%) with desirability of 0.614 (0—minimum and 1—maximum). The predicted values of response variables, for the coating were weight loss (%) = 5.51, TSS (°Brix) = 16.45, TA (% Citric acid) = 1.50, and antioxidant capacity (RSA = 58.13 mM AAE/mL PJ and FRAP = 40.03 mM TE/mL PJ). Therefore, the optimized coating formulation is a potential postharvest treatment for “Wonderful” pomegranate to inhibit weight loss and maintain overall quality during storage and shelf-life.


Proceedings ◽  
2020 ◽  
Vol 70 (1) ◽  
pp. 6
Author(s):  
Joaquina Pinheiro ◽  
Diana I. Santos ◽  
Elsa M. Gonçalves ◽  
Marta Abreu ◽  
Margarida Moldão-Martins

Smoothies are a popular and convenient way for to consume bioactive compounds from fruits and vegetables such as total phenolics, carotenoids and flavonoids, with the preservation treatment being an important action to guarantee the safety and extension of shelf-life. The main goal of this study was to evaluate the impact of heat treatment (HT) on smoothie prepared with “Fuji “apple (41%), pineapple (31%), cabbage (8%), pumpkin (10%) and banana (10%), by response surface methodology (RSM), where the temperature (70–100 °C) and treatment time (0.5–10.5 min), were the dependent variables. After optimization of HT conditions, a validation assay was performed to guarantee the minimal changes on color and reduction of 90% of polyphenoloxidase enzyme (PPO). Antioxidant activity (Ferric reducing antioxidant power assay (FRAP), DPPH, ABTS), total phenolics content (TPC), pH and solids soluble content were also analyzed. Predicted models of color parameters (L*, a*, ºh) and PPO enzymatic activity were found to be significant (p < 0.05) with regression coefficients (R2) of 0.84, 0.86, 0.92 and 0.97, respectively. From the RSM-generated model, the HT conditions that ensure a minimal green loss of smoothie and inactivation of PPO enzyme was at 85 °C over 7 min. In the validation study, these conditions were tested and proved to be sufficient to achieve the main goals. In the heat-treated smoothie, increases in TPC (10%) and antioxidant capacity (ABTS: 50%, DPPH: 17%, FRAP: 13%) were attained. This study demonstrated that RSM was efficient to select the optimal conditions of HT and improve the important quality properties that influence the product quality and the potential consumer’s health (TPC and antioxidant capacity).


2021 ◽  
Vol 02 ◽  
Author(s):  
Kien Q. Nguyen ◽  
Christopher J. Scarlett ◽  
Quan V. Vuong

Background: Scaevola spinescens is an endemic Australian shrub that is linked to various health benefits and traditionally used as medicine by decoction. To date, the extraction efficiency of the plant under various conditions has not been well understood. This study aimed to optimize aqueous extraction conditions of S. spinescens, for maximum extraction of total phenolic compounds, flavonoids and saponins, as well as antioxidant activities. Methods: Response surface methodology was used to determine the influence of four independent parameters including temperature, time, sample-to-water ratio and pH. The optimal ranges of temperature (60-90 °C), time (30-60 min), sample-to-water ratio (2-6 g/100 mL) and pH (3-7) were determined in preliminary experiments. Following assessment and optimization of the response surface methodology models, validation experiments were conducted to compare predicted and experimental values. Results : The RSM models showed that extraction temperature, time and sample-to-water ratio significantly affected total phenolic compound yields. Extraction temperature and time significantly affected flavonoid yields, while only sample-to-water ratio significantly affected saponin yields. Optimal conditions for extraction were determined to be: 90 ºC, 53 min, 2:100 (g/mL), and pH of 4.5, if saponins are the target compounds for extraction. For phenolics, flavonoids and antioxidant capacity, a higher sample-to-water ratio of 6:100 (g/mL) is recommended. Conclusion: Response surface methodology proved to be a reliable method for predicting yields of bioactive compounds and antioxidant capacity in S. spinescens. These findings can be used for efficient decoction by practitioners and end users, or by researchers for further isolation and purification of bioactive compounds from S. spinescens extracts.


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