Optimization of Lagunaria patersonii leaf extract employing Box–Behnken design and dual-wavelength approach of tiliroside linked to anti-inflammatory activity

The study explored enhanced extraction of phenolic‐rich bioactive compounds from Parquetina nigrescens leaves. Two crucial industrial processes, drying and extraction, pivotal for processing P. nigrescens leaves for bioactive extract recovery, were extensively examined. Convective drying characteristics of P. nigrescens leaves were examined using a laboratory oven, varying air temperatures (35.0, 45.0, 55.0, and 65.0°C) at a constant air velocity of 1.50 m/s. Quality assessment of dried leaves determined optimal drying conditions for bioactive compound preservation. Sequential optimization of bioactive extract recovery was performed using the Box–Behnken design, a component of response surface methodology (BBD‐RSM), to optimize heat‐assisted extraction (HAE) process variables: operating temperature (OT), solid–liquid ratio (S/L), and extraction time (ET). Models were developed to predict total phenolic content (TPC), extract yield (EY), and antioxidant activity (AA). Monte Carlo simulation assessed the robustness of developed models. Drying time and temperature significantly influenced the process, with effective moisture diffusivity ranging from 8.20 E‐11 to 3.55 E‐10 m2/s. Leaves dried at 45.0°C for 640 min exhibited optimal quality. Extraction process variables (OT, S/L, ET) also showed significant effects. Multi‐objective optimization led to the attainment of 8.97 mg GAE/g for TPC, 25.0% for EY, and 6.31 μM AAE/g for AA. These achievements were realized with an OT of 55.0°C, ET of 151 min, and S/L of 1:40.8 g/mL. The developed BBD‐RSM models exhibited high reliability (TPC = 98.1%; EY = 99.9%; AA = 91.4%) aiding informed decision‐making in research and industrial applications. This study provides data for process design, equipment selection, and sustainable, value‐added product development.

Bioactive compounds in the fruits of Tetrapleura tetraptera is widely used in food as a flavouring agent and for spices. In this study, bioactive compounds were extracted by solid-liquid extraction process and the yield was optimized by response surface methodology (RSM) and artificial neural network (ANN). The process parameters optimized were the extraction temperature, particle size and extraction time. Box-Behnken Design was used to study the effect of the process parameters on the extract yield. A quadratic model was obtained by RSM which was used topredict the extract yield. While for ANN, Bayesian Regularization learning algorithm with hyperbolic function (Tanh) for both hidden and output layers was the best model for predicting the extract yield. The performance of both models was established based on their R2 and RMSE values. (R2 and RMSE values were 0.9391 and 3.10 for RSM and 0.9637 and 0.8193 for ANN respectively). ANN gave the maximum extract yield of 29.15 % higher than that of RSM which evaluated a yield of 27.70 % with optimum conditions at extraction temperature of 90℃, particle size of 3.26 mm and extraction time of 50 mins. It was therefore concluded that ANN is better than RSM in the modeling and optimization of the extraction process parameters.
 Keywords: Tetrapleura tetraptera, bioactive compounds, process parameters, optimization

Supercritical CO2 extraction of bioactive compounds from local Peganum Harmala plant seeds and optimization of the extraction yield and the antioxidant activities

Phytotherapeutics derived from medicinal plants treat various illnesses, including viral infections such as SARS, MERS, and SARSCoV-2, as well as bacterial and fungal diseases. It highlights ongoing research into the chemical compositions of plant components for developing new drugs, with a particular emphasis on anti-cytotoxic agents for anticancer drugs. Traditional extraction methods have limitations, leading to the exploration of environmentally friendly technologies such as ultrasound-assisted, supercritical fluid, microwave-assisted, and accelerated solvent extraction. The paragraph concludes by stating the aim of a specific study to optimize extraction conditions of bioactive compounds from Urtica dioica in Kurdistan, comparing conventional and non-conventional extraction methods, solvents, and extraction times. The study was conducted between June 2022 and August 2022, fresh leaves and stems of U. dioica plant were collected and sequentially underwent four extraction methods (maceration, Soxhlet, ultrasound-assisted extraction (UAE), and microwave-assisted extraction (MAE) by using petroleum ether, chloroform, ethanol, and distilled-water as solvents. The results highlighted significant variations in the yields of bioactive compounds based on the extraction method, solvent type, and duration. Among conventional methods, Soxhlet was the most powerful method and had the most extraction yields, while maceration had the lowest yields. The modern techniques surpassed the conventional methods by producing high extraction yields within a shorter time (a few minutes) and using a lesser amount of solvent. Consequently, UAE and MAE emerge as the most efficient techniques. Hence, MAE effectively produced the highest extraction yields and is considered the preferred technique. The choice of solvents significantly influenced the extraction yields, with ethanol consistently emerging as an effective solvent across various extraction methods. In contrast, petroleum ether demonstrated the lowest efficacy as a solvent. Furthermore, the results unveiled the impact of extraction time on yields, indicating a correlation between increased time and extraction yield in certain cases. Extraction is a very critical step in the study of medicinal plants. The amount of extracted compounds is significantly affected by the extraction method, solvent, and time. Ethanol stands out as the most effective solvent, producing the highest yields of bioactive compounds, while petroleum ether yields the least. Additionally, extraction yield shows a direct relation with extraction time. Soxhlet being the most powerful among conventional methods and maceration yields the least. Modern techniques, particularly UAE and MAE, surpass conventional methods by achieving high yields in shorter times with less solvent. MAE, in particular, offers advantages such as shortened extraction time, increased efficiency, reduced labor, and enhanced selectivity, making it the preferred method for extracting bioactive compounds from aerial parts U. dioica.

Experimental optimization and mathematical modeling of supercritical carbon dioxide extraction of essential oil from Pogostemon cablin

The major bioactive components of Kaempferia parviflora (KP) rhizomes, 3,5,7,3′,4′-pentamethoxyflavone (PMF), 5,7-dimethoxyflavone (DMF), and 5,7,4′-trimethoxyflavone (TMF), were chosen as the quantitative and qualitative markers for this plant material. In order to extract bioactive components (total methoxyflavones) from KP rhizomes, ultrasound-assisted extraction (UAE) was proposed as part of this study. Plackett–Burman design (PBD) and Box–Behnken design (BBD) were utilized to optimize the effects of UAE on extraction yields and total methoxyflavone contents in KP rhizomes. First, PBD was utilized to determine the effect of five independent variables on total yields and total methoxyflavone contents. The results indicated that the concentration of the extracting solvent (ethanol), the extraction time, and the ratio of solvent to solid were significant independent terms. Subsequently, BBD with three-level factorial experiments was used to optimize the crucial variables. It was discovered that the concentration of ethanol was the most influential variable on yields and total methoxyflavone contents. Optimum conditions for extraction yield were ethanol concentration (54.24% v/v), extraction time (25.25 min), and solvent-to-solid ratio (49.63 mL/g), while optimum conditions for total methoxyflavone content were ethanol concentration (95.00% v/v), extraction time (15.99 min), and solvent-to-solid ratio (50.00 mL/g). The relationship between the experimental and theoretical values was perfect, which proved that the regression models used were correct and that PBD and BBD were used to optimize the conditions in the UAE to obtain the highest yield and total methoxyflavone content in the KP rhizomes.

Box-Behnken experimental design for a green extraction method of phenolic compounds from olive leaves

Background: Alzheimer’s disease is a progressive mental deterioration related to ageing and senility. Approved drugs that inhibit acetylcholinesterase (AChE) enzyme activity in the human brain are one of the ways to control the natural progression of this disease. The present study reports on the optimisation of ultrasound-assisted extraction of antiacetylcholinesterase and antioxidant compounds from manuka leaves using response surface methodology. Methods: A Box-Behnken design was used to investigate the effect of extraction temperature (40–60°C), time (1–20 min), and ethanol concentration (30–70%) on AChE inhibition, antioxidant activity, and extraction yield. Results: The values of AChE, radical scavenging activity (RSA) and yield predicted by the models generated were similar to the experimental values. Extraction time, ethanol concentration and temperature were significant in all the responses. Optimum extraction conditions for maximum AChE inhibition (74%), RSA (79%) and yield (50%) were successfully validated experimentally and the IC50 of the optimised extracts were reduced to 28.5 (from 66.0) and 2.37 (from 32.4) ?g/ mL for AChE and antioxidant activity, respectively. The optimisation enabled an increase in the extraction yield from 21% to 49%. Conclusions: In view of the significant bioactive properties determined, with possible beneficial effects on memory deficit, we would encourage the use of the manuka leaf extract for the development of new phytopharmaceuticals to improve brain function and control dementias such as Alzheimer’s disease. One other application could be as a beverage for the preparation of tea infusions.

An ultrasound-assisted procedure for the extraction of water-soluble polysaccharides from Enteromorpha tubulosa was studied by using response surface methodology. Three independent variables including extraction time, extraction temperature, and ratio of liquid to raw material were investigated by single-factor experiments. A three-factor-three-level Box–Behnken design was adopted to optimize the extraction process parameters. A highly significant second-order polynomial equation was fitted by using multiple regression analysis. The optimal extraction conditions were obtained as follows: extraction time 36 min; extraction temperature 69 °C; and ratio of liquid to raw material 45 mL/g. By experiments with these conditions, the extraction yield was 16.04%, which was well matched with the predicted value. The obtained polysaccharides were evaluated for cytotoxicity in vitro against human breast cancer cell line MCF-7 and the results showed that the polysaccharides possessed potent cytotoxicity. Practical applications Seaweeds are one of the largest numbers and species of marine plants, and their bioactive compounds, especially algal polysaccharides, have become the focus of research in the field of food and medicine. Moreover, many algal polysaccharides have been gradually applied to food and medicine owing to their varied biological activities, such as antivirus, antitumor, antiradiation, antimutation, antioxidation, and enhancing immunity. However, there is no universal extraction process for polysaccharides from the different seaweeds because of the different structures of the seaweeds and the varying compositions of algal polysaccharides. In the current research, an ultrasound-assisted procedure for the extraction of water-soluble polysaccharides from Enteromorpha tubulosa was studied by using response surface methodology, and the optimal extraction conditions were obtained so as to provide references for the mass productions in the factories.

Background: Phenolic compounds, response surface methodology, optimization, apricot kernel shell, box-behnken design, central composite design. Objective: This study aimed to optimize the extraction of phenolic compounds from apricot kernel shells by different extraction techniques by studying the effects of different parameters on the extraction efficiency, and the comparison between the Box-Behnken Design and the Central Composite Design of the response surface methodology is done in order to have good extraction estimation. Methods: In this study, response surface methodology; Box-Behnken and Central Composite Designs, was used to contrast the efficacy and investigate the principal interactions of three operating parameters (ethanol concentration, microwave power, and extraction time), in the optimization of phenolic compounds extraction from apricot kernel shells by microwave-assisted extraction, ultrasonic-assisted extraction, and maceration techniques. Results: The results indicated that the optimal total phenolic compounds obtained with microwave assisted extraction techniques by Box-Behnken Design was 9.30 ± 0.22 mg/g, where the ethanol concentration, microwave power, and extraction time, were 45.85%, 370.5 W, and 11 min, respectively. However, the optimal total phenolic compounds revealed by Central Composite Design were 8.86 ± 0.05mg/g under ethanol concentration, microwave power, and extraction time of 51.99%, 394.37W, and 9.68min, respectively. Conclusion: This work proposes the best mathematical model to optimize the extraction of polyphenols from this by-product which seems to be a possible source of phenolic compounds that can be used in the food, cosmetic, and pharmaceutical industries.

Optimized microwave-assisted azadirachtin extraction using response surface methodology

In this study, polyethylene glycol was used for the ultrasound-assisted extraction of polysaccharides from superfine ground Auricularia auricula. The experimental factors including PEG molecule weight, PEG concentration, sample size, liquid–solid ratio, extraction temperature, and extraction time were optimized by the Box-Behnken Design. The results showed that the optimal extraction conditions were a liquid–solid ratio of 39.27 ml/g, an extraction temperature of 91.94 °C and an extraction time of 32.44 min. Under these extraction conditions, the extraction yield of AAP was proved to be 25.75 ± 0.59%. The optimal extraction yield was well in close agreement with the value predicted by the regression model. Practical applications The PEG-based ultrasound-assisted extraction of polysaccharides from Auricularia auricular not only effectively decreases the extraction time, but also increases the extraction yield. Furthermore, the superfine grinding technology can greatly improve reactive surface to the largest content, thus enhancing the extraction yield.

<p><span lang="EN-US"><strong>ABSTRACT.</strong></span><em><span lang="EN-US"> Aleurites moluccana</span></em><span lang="EN-US"> Willd, known candlenut plant, has the potential to be used for vegetable oil, pharmacological purposes, and biofuel. However, there is a lack of knowledge on the optimal extraction conditions for this extraction. The current study aimed to use response surface methodology (RSM) to optimize the Microwave Hydrodiffusion Gravity (MHG) conditions for extraction yield. A three-factor-three-level Box-Behnken design (BBD) was used to investigate the effects of three independent parameters: material size (A), microwave power (B), and extraction time (C). The experimental data for the candlenut seed extraction were analyzed to obtain quadratic polynomial equations. The effects of various parameters on the yield of extraction yield were then examined and analyzed using plots and contours.The results showing extraction yield significantly influenced all independent parameters were p < 0.0001. Further, The study predicted the optimum conditions for extracting candlenut seeds, which included using material size in 1.378 cm, microwave power of 599.359 W, and extraction time 66.076 min, resulted yield of 5.015%. Based on experimental data conditions, the highest extraction yield was 5.5% of 1 cm, 600 W, and 60 min, respectively, which were in good agreement with the predicted model. The study concluded that the optimized MHG method could be useful in industrial extraction processes and the use of statistical method can optimize the extraction process and reduce the number of experiments required.</span></p><p><span lang="EN-US"><strong>Keywords: </strong>candlenut, RSM, MHG, yield<br /></span></p>

Optimization of ultrasound-assisted extraction of bioactive compounds from coffee pulp using propylene glycol as a solvent and their antioxidant activities

The biological properties of Achyrocline satureioides have been mostly ascribed to its major flavonoids quercetin (QCT), luteolin (LUT), and 3-O-methylquercetin (3OMQ). The present study aimed to optimize the extraction by dynamic maceration of the major phenolic compounds in order to obtain in a subsequent step a flavonoid-enriched fraction (FEF) using high performance countercurrent chromatography (HPCCC). A 3-level Box-Behnken design (BBD) was applied to maximize the extraction of the substances, using the plant : solvent ratio (X1 ), extraction time (X2 ), and ethanol concentration (X3 ) as factors. One-step HPCCC semipreparative separation with a solvent system composed of hexane : ethyl acetate : methanol : water (0.9 : 0.9 : 0.8 : 1.0, v/v) was employed to obtain the FEF. The second-order polynomial model was able to fit the experimental data adequately. The linear and quadratic terms of X3 were the most significant factors that affected all the responses. The positive linear term of X3 indicated a substantial increase in extraction yield, while the negative quadratic term showed a nonlinear tendency. Linear terms of X1 suggested a tendency to solvent saturation, except for QCT. The terms of X2 did not affect the responses substantially. The HPCCC method was found to be efficient and rapid for separating the FEF with 71% (w/w) flavonoid content. Overall, the developed extraction procedure coupled with HPCCC proved to be efficient for obtaining an enriched fraction with a very high content of flavonoids from A.satureioides.