Optimization Of Extraction Process Research Articles

Density-oriented deep eutectic solvent-based system for the selective separation of polysaccharides from Astragalus membranaceus var. Mongholicus under ultrasound-assisted conditions

The water extraction and ethanol precipitation method is an extraction method based on the solubility characteristics of polysaccharides that offers wide applicability in the extraction and separation of plant polysaccharides. However, this method leads to large amounts of proteins, nucleic acids, pigments, and other impurities in the polysaccharides products, which makes downstream purification complicated and time-consuming. In this study, a green, high-density natural deep eutectic solvents was used for the high-purity extraction and separation of polysaccharides from Astragalus membranaceus (Fisch) Bge. var. Mongholicus (Bge.) Hsiao roots under ultrasound-assisted conditions. In this study, 16 different natural deep eutectic solvents were designed to screen the best solvent for extracting Astragalus polysaccharides (APSs). Based on the yield and recovery of APSs, a natural deep eutectic solvents composed of choline chloride and oxalic acid with a molar ratio of 1:2 was selected. The related factors affecting polysaccharides extraction and solvent precipitation were investigated. To improve the operating methodology, single-factor trials, a Plackett-Burman design, and a Box-Behnken design were used. The optimal extraction process conditions were obtained as follows: water content of 55%, liquid–solid ratio of 24 mL/g, ultrasonic irradiation time of 54 min, ultrasonic irradiation temperature of 50 °C, ultrasonic irradiation power of 480 W, ethanol precipitation time of 24 h, and ethanol concentration of 75%. Under optimal extraction conditions, the recovery of APSs was 61.4 ± 0.6 mg/g. Considering the special matrix characteristics of A. membranaceus var. Mongholicus roots, physical-technology-based ultrasonic waves promote penetration, and the mass transfer function also solves the bottleneck of high-viscosity deep eutectic solvents in the extraction stage. In comparison with the conventional method, the proposed method based on deep eutectic solvents isolation can significantly increase APSs recovery, which is beneficial to simplifying the process of polysaccharides purification by using solvent properties to separate extracts and reduce impurities in APSs.

Extraction, Isolation, Screening, and Preliminary Characterization of Polysaccharides with Anti-Oxidant Activities from Oudemansiella raphanipies.

Response surface methodology (RSM) was used to find the optimal extraction process of Oudemansiella raphanipies polysaccharides (ORPs). The results showed that the optimal extraction parameters were an alkali concentration of 0.02 mol/L, a ratio of material to liquid of 1:112.7 g/mL, an extraction temperature of 66.0 °C, and an extraction time of 4.0 h. Under the optimal conditions, the yield of ORPs was raised to 16.2 ± 0.1%. The antioxidant activities of ORPs-I~V were determined and compared, and ORPs-V was further purified by chromatography, with an average molecular weight (Mw) of 18.86 kDa. The structure of ORPs-V was determined by Fourier transform-infrared spectroscopy (FT-IR), monosaccharide analysis, and nuclear magnetic resonance (NMR) spectroscopy. The ORPs-V comprised fucose, rhamnose, arabinose, glucose, galactose, mannose, xylose, fructose, galacturonic acid, and glucuronic acid at a ratio of 1.73:1.20:1.13:2.87:8.71:2.89:1.42:0.81. Compared to other ORPs, ORPs-V showed the strongest antioxidant activities (ABTS radical cation, hydroxyl radical and DPPH scavenging activities, and reducing power), and were able to significantly increase the activities of superoxide dismutase, catalase, lactate dehydrogenase, and glutathione peroxidase. However, they reduced the malondialdehyde content in mice fed a high-fat diet. These results indicate that ORPs-V may be good anti-oxidant agents to be applied in functional foods.

Comparative study on optimization of NADES extraction process by dual models and antioxidant activity of optimum extraction from Chuanxiong-Honghua

The natural deep eutectic solvent (NADES) was used as the extraction solvent to extract the four ingredients from Chuanxiong-Honghua. NADES-7 composed of L-proline and lactic acid (1:2) has a better extraction effect compared with traditional solvents. The extraction process was optimized using response surface methodology (RSM) and ant colony algorithm-enabled backpropagation neural network (ACO-BPNN), which were compared with each other. ACO-BPNN has a higher R2 and predictive value than RSM. The optimal process parameters predicted by the ACO-BPNN were determined to be as follows: solvent-to-material ratio, 8 mL/g; extraction time, 67 min; water concentration, 48%; and extraction temperature, 50 °C. The best predicted comprehensive evaluation value was 4.2634, and the mean value obtained from the experiment was 3.8678. Compared with traditional solvents, the antioxidant activity of NADES-7 extract was better, and the mean value of DPPH, FRAP (ferric reducing antioxidant power), and ABTS assays were 0.1555, 0.1132, and 0.0894 mmol Trolox/g dry weight, respectively. Experimental results show that ACO-BPNN can better optimize the extraction process of many different polar compounds in plant combinations.

Response Surface Methodology as a Tool for Optimization of Extraction Process of Bioactive Compounds from Spent Coffee Grounds

The main goal of this research was to model and optimize the extraction process of bioactive compounds from spent coffee grounds (SCG). This study utilized response surface methodology (RSM) to determine the significance of the effects of independently tested extraction process conditions and their interactions. The quality of the SCG extracts was evaluated by performing the following determinations: total polyphenols content (TPC), ABTS and FRAP assays, browning index (BI), and caffeine and chlorogenic acids contents by high-performance liquid chromatography. The resultant optimal extraction conditions, which maximized recovery of antioxidant bioactive compounds, were 65% hydroethanolic solution (v/v) in a solvent–matrix ratio of 51 mL/g CS, followed by ultrasound-assisted extraction carried out for 30 min at 60 °C. The SCG extract obtained by this extraction variant had values for TPC, ABTS, FRAP and BI of approximately 38 mg GAE (gallic acid equivalent) per g d.m. SCG, 73 mg Trolox/g d.m. SCG, 81 µmol Fe (II)/g d.m. SCG, and 0.22, respectively. The sample was also characterized by a high content of caffeine (5 mg/g d.m. SCG) and chlorogenic acids (8 mg/g d.m. SCG). Based on the obtained results, SCG may be recognized as a coffee by-product that has abundant components with antioxidant activity and broad possible applications in agri-food processing fields.

Optimization of DIC-Tripolium Ecofriendly Extraction Process: Recovery of Hesperidin from Orange Byproducts, Antioxidant and α-Amylase Inhibition of Extracts.

This study aimed to investigate the effect of an innovative ecofriendly process-instant controlled pressure drop technology, also known as "détente instantanée contrôlée" or DIC-coupled with Tripolium extraction (DIC-Tripolium), on the hesperidin recovery, and antioxidant and antidiabetic activities of orange byproduct extracts. A DIC pretreatment was applied to partially dried orange byproducts (~16% wet basis). A central composite rotatable design (CCRD), composed of 13 experimental trials (four factorial points, four-star points, and five repetitions for the central point), was followed by a Tripolium process consisting of successive intermittent extraction periods using ethanol/water solvent at 20 ± 1 °C, 5 kPa for 5 min and m/v ratio = 5 g/50 mL. The DIC pretreatment, coupled with the Tripolium process, increased the extractability of hesperidin (from 1.55- to 4.67-fold compared to untreated DIC orange byproducts). The radical scavenging activities of the extracts were also enhanced or preserved in different DIC-Tripolium extracts. The α-Amylase inhibition percentage varied between 55.6 ± 0.02 and 88.30 ± 0.01% according to DIC-Tripolium conditions. The multi-criteria optimized condition of DIC-Tripolium extraction, allowing for the maximization of the hesperidin content, radical scavenging activities, iron chelating activity, and α-amylase inhibition of extracts, corresponds to a DIC saturated steam pressure of 599.4 kPa and a DIC pretreatment time of 38 s.

Development and optimization of green extraction process of spent coffee grounds using natural deep eutectic solvents

The aim of this study was the development and optimization of a green extraction process of spent coffee grounds (SCG) using high energy techniques (such as microwaves and ultrasonic power)and various Natural Deep Eutectic Solvents (NADES) as green extraction solvents. Six NADES were investigated and among them the one derived by betaine and glycerol was selected as the optimum for further investigation. For comparison reasons the SCG extraction using a hydroethanolic solution as extraction solvent was also performed and optimized.A 3 level-4 factor Taguchi design of experiments was implemented in order to optimize the parameters of the ultrasound-assisted (UAE) and the microwave-assisted extraction (MAE). The effects of NADES-to-water ratio, solid-to-liquid ratio, extraction time as well as temperature in the case of MAE and ultrasonic power in the case of UAE were tested. A L9 orthogonal experiment plan was applied with combinations among factors and their levels in order to study their effect on phenolic compounds extraction. The metric of signal-to-noise (S/N) ratio was employed to find the optimum conditions. The extracts’ total phenolic (TPC) and total flavonoid content (TFC) were used as the response factors. Regression analysis was used for results prediction in conditions within and beyond the design levels. Confirmation experiments were performed at optimum conditions and were in accordance to the predicted values.Finally, the optimum extraction conditions were implemented in various varieties of coffee grounds and TPC and TFC were determined before and after brewing. Finally, the extract's caffeine content was measured by GC-MS analysis.

Efficient Anthocyanin Extraction from Aqueous Mixture of Cocoa Peel Using Microwave Assisted Extraction (MAE) Method

Anthocyanins are polyphenolic compounds whose existence is very abundant in nature with diversity in various types of plants. The purpose of this study was to optimize the anthocyanin extraction process from cocoa shell waste using the MAE method in order to obtain the optimum particle size, ingredient/solvent ratio, and extraction time to produce high anthocyanin concentrations. The optimized extraction process variables include size of particle (1,05; 1,25; 1,49 and 2,5 x 10-4 m), ratio of substrate/solvent (4,5; 12,5; 62,5; 79,5 x 10-3g/mL), time of extraction (2, 4, 10, 14 minutes) and microwave power (100; 275; 450; 625 watts). The Design Expert vs11 program with the Box-Behnken Design Response Surface Methodology (RSM) was used in the research and the selection of process conditions was carried out from a combination of factors that resulted in an optimal response. The relationship between variables on the modeled anthocyanin concentration response:
 Y=0,000486-9,98637E-07A+0,026734B0,000041C-7,58240E-07D-0,000102AB+2,48606E-07AC+2,62878E09AD-0,000539BC+0,000012BD+9,71853E08CD
 
 (A: particle size; B: cocoa shell:solvent ratio; C: extraction time; D: microwave power).
 The optimal response value for anthocyanin concentration was 11,85.10-4 M and the conditions of extraction process are the particle size in the extraction process was 0,105 mm, the ratio of cocoa peel mass/ethanol was 0,03125 g/mL, the extraction time was 2 minutes, and the microwave power was 100 W.

Antiradical Activity Studies of Ultrasound-Assisted Extraction of Total Flavonoids from Sanghuangporus vaninii Fruit Bodies

Flavonoids are a class of secondary metabolites present in many plant species. Flavonoids are important active components in Sanghuangporus vaninii. It has attracted widely attention because of its unique antitumor, antioxidation, immunomodulatory, bacteriostatic, and other biological activities. In this study, the Sanghuangporus vaninii fruit bodies are used as raw materials to study the optimal extraction technology of the Sanghuangporus flavonoids. In addition, the antioxidant and bacteriostatic abilities of Sanghuangporus vaninii are analyzed through antioxidant and bacteriostatic experiments. Ultrasound-assisted ethanol extraction is used to extract Sanghuangporus flavonoids. The optimum extraction process was determined by single factor test and response surface analysis, namely, ratio of material to liquid 1 : 60, ethanol concentration 80%, ultrasonic temperature 70°C, and ultrasonic time 40 min. Under these conditions, the flavonoids content is 90.24 ± 0.89 mg/g (on dry weight basis). Using VC as the reference substance, the total flavonoid concentration was tested for its ability to scavenge free radicals such as DPPH, ABTS+, OH, and O2-. The reducing power of total crude flavonoids, the scavenging ability of NO2- , and the antibacterial and anti-inflammatory abilities are also used as evaluation indicators for this experiment. The results showed that the best scavenging rates of Sanghuangporus vaninii flavonoids for DPPH, ABTS+,· OH, and O2-.were, respectively, 92.17 ± 1.33%, 92.49 ± 1.55%, 94.85 ± 1.39%, and 86.01 ± 1.21%. In terms of reducibility, the absorbance of Sanghuangporus vaninii flavonoids at 0.008 mg/ml was 2.65 ± 0.04, which was higher than that of positive control VC at 0.90 ± 0.05. Sanghuangporus vaninii flavonoids at 200 μg/mL could effectively inhibit the NO2- content in vitro to 9.38 ± 0.23 pg/ml. The inhibitory rates of Sanghuangporus vaninii flavonoids on Escherichia coli, Staphylococcus aureus, and Bacillus subtilis were 79.48 ± 1.57%, 85.64 ± 1.22%, and 80.29 ± 0.04%. When the concentration of Sanghuangporus vaninii flavonoids was 200 μg/mL, the concentration of NO was 9.38 ± 0.23 pg/ml.

Treatment of copper-containing leaching residue by sulfation roasting followed by acid/water leaching

This research investigates the extraction of copper from copper-containing leaching residue, which includes 33.45% of copper, 14.14% of iron, 23.87% of sulfur and trace amounts of silver and other elements. Roasting the copper-containing residue under air and oxygen flow convert sulfides into sulfate, followed by water and acid leaching to extract copper. The process parameters, including leaching temperature, sulfuric acid concentration, leaching time, solid-to liquid ratio, and agitation speed, were optimized for both water and acid leaching methods. Results showed that the maximum copper dissolution efficiency was 93.12% with water leaching, and 97.16% with acid leaching. Chemical analysis revealed that the water and acid leaching residue contained 48.13% and 31.64% of iron, respectively. This study provides valuable insights into the process optimization for copper extraction from copper-containing leaching residue, which can inform the development of more efficient and sustainable methods for metal recovery.

The optimization of cordyceps militaris extraction process from fruiting body

Cordyceps has long been considered as a valuable medicinal herb known to possess numerous biological activities, including anti-microbial, anti-cancer, anti-metastasis and immunomodulatory effects. With its benefits, many studies on optimizing the cultivation and production of C. militaris have been carried out. In addition, extraction methods have also been improved to intense efficiency extract the medicinal substances contained in this rare fungi. In this study, the aim was to optimize the process of C. militaris extraction from fruiting bodies based on 17 experimental data using water extraction method. The factors that affects to the extraction productivity such as: extraction temperature, extraction time and water/fungi ratio were investigated within a certain range. The experiments were arranged according to the Box-Behnken design, and then the results was optimized by Design expert software (version 13). In the optimal condition, the maximum productivity can be up to 32.23% with the extraction temperature is at 98oC, the water/fungi ratio is 18:1 and the extraction time is 4 hours.

Extraction of phenolics from Azadirachta indica flowers

Azadirachta indica is a well-known tree for the medicinal use of its leaves, barks and flowers. It has been identified as a rich source of phenolics which attribute to its medicinal properties. However, these phenolics should be extracted appropriately to effectively utilize them in various applications. This study focused on maximizing the extraction yield of total phenolics and total anthocyanins along with maximum 2,2-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging activity from edible flowers of A. indica as a function of solid:liquid ratio, ethanol concentration, extraction temperature and time. The data was subjected to response surface methodology and the corresponding second order polynomial models were generated. The results showed that the polynomial models for all responses were significant, did not show lack of fit and presented determination of coefficients above 95%. This indicates the suitability of the models for prediction purposes. Using desirability function, the optimum extraction process parameters to obtain maximum values of all responses were found to be solid:liquid ratio 1:32.2, ethanol concentration 42.72%, extraction temperature 55 °C and time 39.25 minutes. Under these optimal conditions, the experimental values for total phenolic content was 85.44±2.41 mg gallic acid equivalents per gram of dry weight, total anthocyanin content was 44.32±2.75 µg cyanidin-3-glucoside per gram of dry weight and DPPH radical scavenging activity was 31.43±1.67%. These values were in close agreement with the predicted values and did not show any significant difference (p<0.05). The identified optimized conditions could be used to extract phenolics from A. indica flowers in a cost effective and efficient manner.

Improving Flavonoid Accumulation of Bioreactor-Cultured Adventitious Roots in Oplopanax elatus Using Yeast Extract.

Oplopanax elatus is an endangered medicinal plant, and adventitious root (AR) culture is an effective way to obtain its raw materials. Yeast extract (YE) is a lower-price elicitor and can efficiently promote metabolite synthesis. In this study, the bioreactor-cultured O. elatus ARs were treated with YE in a suspension culture system to investigate the elicitation effect of YE on flavonoid accumulation, serving for further industrial production. Among YE concentrations (25-250 mg/L), 100 mg/L YE was the most suitable for increasing the flavonoid accumulation. The ARs with various ages (35-, 40-, and 45-day-old) responded differently to YE stimulation, where the highest flavonoid accumulation was found when 35-day-old ARs were treated with 100 mg/L YE. After YE treatment, the flavonoid content increased, peaked at 4 days, and then decreased. By comparison, the flavonoid content and antioxidant activities in the YE group were obviously higher than those in the control. Subsequently, the flavonoids of ARs were extracted by flash extraction, where the optimized extraction process was: 63% ethanol, 69 s of extraction time, and a 57 mL/g liquid-material ratio. The findings provide a reference for the further industrial production of flavonoid-enriched O. elatus ARs, and the cultured ARs have potential application for the future production of products.

Graphene oxide assisted solvent for enhancing the coupled ultrasonic extraction process of curcumin from Curcuma longa L

ABSTRACT A coupled ultrasonic extraction process of curcumin from Curcuma longa L enhanced by the graphene-oxide-assisted solvent was developed. The yield was investigated in relation to extraction temperature, extraction time, ethanol volume fraction, and graphene oxide concentration. Response surface methodology was used to develop a quadratic model of the yield and extraction process. The optimum extraction parameters with the highest yield were obtained and the economic value was then assessed. Results showed that the coupling process could reduce the extraction time, extraction temperature, and ethanol volume fraction while improving the extraction yield. The optimal process parameters were 50.0°C extraction temperature, 1.5 h extraction time, 60.0% ethanol volume fraction, and 1.0 mg/g graphene oxide concentration. The highest extraction yield was 64.9 mg/g, which was better than that have been reported. It can save an estimated $1507 in production expenses for every ton of turmeric under the optimal extraction process. Moreover, the reduction in extraction temperature and ethanol volume fraction also means a safer and cleaner production environment, which highlights the greater potential application prospect of the extraction process developed in this paper.

Optimization of green extraction process of Cinnamomum camphora fruit dye and its performance by response surface methodology

Natural dyes are widely available and mainly extracted from natural plants with green, safe, and sustainable characteristics. This study used Cinnamomum camphora fruit peel as the raw material under the premise of minimizing chemical reagents and employed the microwave-extraction method to extract the dyes from C. camphora fruit peel. The dye extraction conditions were optimized using response surface software via the Box-Behnken model to formulate a response surface test protocol. The results showed that optimizing the experimental conditions by the response surface method was reliable. The optimal extraction condition was found to be material-liquid ratio 1:20 (g: mL), microwave time 90 s, and microwave power 420 W. It is of practical application value to improve the extraction quantity of C. camphora fruit dye. At the same time, the infrared spectrum and HPLC-MS analysis of Cinnamomum camphora fruit dye were analyzed, and the stability of the dye was tested.

A paralleled embedding high-dimensional Bayesian optimization with additive Gaussian kernels for solving CNOP

Conditional Nonlinear Optimal Perturbation (CNOP) is widely used in atmospheric and oceanic predictability studies. Solving CNOP is essentially a nonlinear optimization problem with certain constraints. One method to solve CNOP is the intelligent optimization algorithm. But it may not always obtain the satisfactory solution and efficiency because of the local exploitation of individual particles. The Bayesian optimization algorithm can avoid this local stagnation by building a global probability grasp for the optimization space of CNOP. Nonetheless, the limit of approximately 20-dimensional optimization space hampers its application in solving CNOP of high-dimensional numerical models. To overcome this bottleneck, we propose a paralleled embedding high-dimensional Bayesian optimization with additive Gaussian kernels (PEBOA) algorithm, which mainly consists of the feature extraction process and low-dimensional optimization process. In PEBOA, a feature extraction method (deepFE) using the convolutional Autoencoder with residual connections and customized constraint-preserved loss function is designed, which compresses 10 million dimensional data to relatively low-dimensional search spaces, from tens to hundreds of dimensions. Then, we propose the strategy of additive Gaussian kernels, with which the Bayesian optimization algorithm can optimize in relatively low-dimensional search spaces. Concretely, a kernel handles a subspace, and a subspace can handle dimensions approximately not more than 20. Additionally, the modified acquisition function can sample multiple candidates simultaneously with the aim of accelerating the optimization process. We apply PEBOA to solve CNOP of Regional Ocean Modeling System (ROMS) for identifying optimal initial errors of upstream Kuroshio transport variation, which is a 10 million dimensional and time-consuming problem. The computational performance of PEBOA and physical mechanisms of the obtained CNOP are analyzed. Experimental results indicate that deepFE excels Principal Component Analysis (PCA) in terms of relative error ratio, the magnitude of objective function values, and the obtained CNOP pattern. Besides, compared to deepFE-based Particle Swarm Optimization, PEBOA has better solving efficiency with 3.4% larger objective function values and 2.2 times greater likelihood of obtaining the valid CNOP. Furthermore, the modified acquisition function reduces computation time by about 71.0% with four cores. The physical mechanism analysis shows that CNOPs obtained by PEBOA are almost identical to the adjoint method, which can cause an anomalous increase (decrease) in upstream Kuroshio transport and maintain physics consistency.

Environmentally friendly dyeing of wool and silk fabrics with natural colorant of turnsole (Chrozophora tinctoria L.).

With the increasing demand for environmentally friendly dyes, natural dye has become an attractive option replacing toxic synthetic dyes. Within the framework of this research, the natural dye of Chrozophora tinctoria L. was extracted using the microwave-assisted extraction method under different operating conditions. The influence of different factors influencing the extraction process (such as pH, extraction time, and microwave power) on the extraction efficiency was investigated by means of a multilevel three-factor design. The suggested model has a high coefficient of determination, indicating high predictability and good approximation. Optimal microwave extraction process conditions were obtained at a value of microwave power equal to 650 W, at a pH of 5 during a period of 3 min. Dyed wool and silk fabrics showed very good washing and light fastness properties.

Optimization of Extraction and Separation Process of Notoginsenoside Fc from Panax notoginseng Leaves.

Response surface methodology (RSM) was used to determine the optimal conditions for ultrasound-assisted extraction (UAE) of Notoginsenoside Fc (Fc) from panax notoginseng leaves. The experiment utilized a Box-Behnken design (BBD) and separation conditions were optimized. The optimum extraction conditions were as follows: extraction time = 1.5 h, ethanol concentration = 86%, liquid-to-solid ratio = 19:1. The experimentally obtained values were in accordance with the values predicted by the RSM model. We determined that the RSM model was able to successfully simulate the optimal extraction of Fc from the leaves. Further, Fc was enriched from Panax notoginseng through nine macroporous resins, and HPD-100 macroporous resins were selected for preliminary enrichment of Fc due to its economic costs and benefits. Subsequently, octadecyl silane (ODS) column chromatography was used to improve the purity of Fc to over 90% after separation by ODS column chromatography. Fc with a purity greater than 95% can be obtained by recrystallization. This is the first study that has focused on the extraction and enrichment of Fc from Panax notoginseng leaves using macroporous resin combined with ODS column chromatography, which provides the possibility for further application of Fc.

Optimization of extraction process of 15 bioactive compounds from Qing Fei Yi Huo tablets using response surface methodology

Qing Fei Yi Huo tablets (QFYHT) can relieve the clinical symptoms of acute bronchitis, and is widely prescribed in China. However, the quality standard of QFTHT lacks quantitative assessment. Therefore, it is crucial to develop an effective method for the extraction and analyses of its bioactive components.This study aimed to optimize the ultrasonic extraction of QFYHT and establish a method for the simultaneous quantification of 15 components. Box-Behnken Design (BBD) experiment was employed with three factors (solvent volume, extraction time and ultrasonic power) to optimize the extraction conditions, and the total content of 15 components was measured by high-performance liquid chromatography-diode array detector (HPLC-DAD) method. The total extracted content of 15 components was the highest when 100% methanol was used as the solvent, and the solvent volume was 22 mL, extraction time was 30 min and ultrasonic power was 350 w. The 15 components showed a good linear relationship (r ≥ 0.9998) within a concentration range. The precision, stability and repeatability of this method were satisfactory, and the average recovery rates ranged from 98.08% ∼ 102.87%. These findings demonstrate that optimization of extraction conditions by RSM can significantly improve the ultrasonic extraction rate of the 15 bioactive components of QFYHT. The quantification method is simple, accurate, reliable and practical, and can provide reference for improving the quality control of QFYHT.

Response surface methodology (RSM) for optimization of gelatin extraction from pangasius fish skin and its utilization for hard capsules

This study was aimed to investigate the use of the response surface methodology (RSM) to improve the extraction process of pangasius Pangasianodon hypopthalmus fish skin gelatin. RSM was conducted based on central composite design (CCD) consisting of the two factors, namely, citric acid concentration and extraction time. The yield, moisture content, ash content, pH, viscosity, and setting point were all positively correlated with citric acid concentration, whereas the extraction duration influenced the yield, gel strength, moisture content, and setting point. The combination of these two factors improved the physicochemical properties of the final gelatin preparation. The optimized extraction process was found at the citric acid concentration of 0.3 % and the extraction time of 8 h, producing the gelatin of the quality within the standard GMIA. The gelatin resulted from the optimized processing condition was used as a raw material for hard capsules. The characteristics of the capsules produced were in accordance with those of the commercially available hard capsules.

Optimization of Extraction Process and Dynamic Changes in Triterpenoids of Lactuca indica from Different Medicinal Parts and Growth Periods.

In this study, the triterpenoids in the leaves of Lactuca indica L.cv. Mengzao (LIM) were extracted via microwave-assisted ethanol extraction, and the optimum extraction conditions for triterpenoids were determined through single-factor experiments and the Box-Behnken method. The effects of three factors (solid-liquid ratio, microwave power and extraction time) on the total triterpenoids content (TTC) were evaluated. The TTC of different parts (roots, stems, leaves and flowers) of LIM in different growth stages was studied, and the scavenging effects of the highest TTC parts on DPPH, ABTS and hydroxyl free radicals were investigated. The results showed that the optimum extraction conditions for microwave-assisted extraction of total triterpenoids from LIM leaves were as follows: solid-liquid ratio of 1:20 g/mL; microwave power of 400 W; and extraction time of 60 min. Under these conditions, the TTC was 29.17 mg/g. Compared with the fresh raw materials, the TTC of the materials increased after freeze drying. The leaves of LIM had the highest TTC, and the flowering stage was the best time. The triterpenoids from the leaves had a strong ability to eliminate DPPH and ABTS free radicals, and the elimination effect of dried leaves was better than that of fresh leaves, while the elimination effect of hydroxyl free radicals was not obvious. The tested method was used to extract total triterpenoids from LIM using a simple process at low cost, which provides a reference for developing intensive processing methods for L. indica.