Optimization of Formulation and Operating Parameters for Ginkgo biloba Extract Nanosuspension by Wet Ball Milling Using a Box–Behnken Design
In the present work, the formulation of nanosuspension of Ginkgo biloba extract (GBE) and the operating parameters of wet ball milling (WBM) was optimized using the Box–Behnken design (BBD) method. The key formulation factors evaluated were GBE concentration, milling speed, milling time, and sodium dodecyl sulfate (SDS) concentration. A quadratic model with the correlation coefficient () value of 0.9276 was established based on the experimental data, implying that this model is significant; meanwhile, the analysis of variance (ANOVA) showed that the SDS concentration was the most significant factor on particle size, followed by GBE concentration, milling speed, and milling time was the slighter significant factor. The GBE nanosuspension with the particles size of 171.2 nm was prepared under the optimized conditions of GBE concentration (7.459 g/L) in combination with milling time (1.492 h), milling speed (9.253 m/s), and SDS concentration (0.846 g/L). The freeze-dried nanosuspension exhibited spherical particle morphology with uniform size by scanning electron microscopy. In addition, the melting behavior of the raw material and milled GBE was analyzed by differential scanning calorimetry and it was found that the melting point decreased due to the decrease of particle size. Furthermore, the dissolution rates of the optimized GBE showed better dissolution properties than the unprocessed GBE. The results show that it is feasible to prepare GBE nanosuspension on a commercial scale by WBM to increase the bioavailability of GBE.
Ginkgo biloba is one of the oldest and most commonly used herbs. It has been used in traditional Chinese medicine for thousands of years . Ginkgo biloba extract (GBE) is a kind of herbal medicine extracted from Ginkgo biloba leaves with antioxidant, antifungal, antibacterial, antiviral, antiasthmatic, and antitumor activities and has been widely used for the treatment of tinnitus , cerebral insufficiency , retinal , depression , diabetic nephropathy , and other diseases. It is currently one of the best-selling phytomedicine.
Unfortunately, the bioavailability of GBE is poor due to its low aqueous solubility, thus limiting its formulation development and clinical applications . Literature has reported that nanotechnology-based drugs provide another approach to improve the therapeutic effects and bioavailability of drugs. Nanostructured systems has the potential to enhance the activities of herbal extracts, decrease the treatment dose, promote sustained release of active ingredients, reduce unwanted effects, and improve activity. Thus, incorporating herbal medicines with nanotechnology has become an alternative strategy. Meanwhile, nanosuspensions have been suggested as a new method for water-insoluble drug delivery. It has the ability to improve oral absorption and bioavailability of drugs for the merits of enhanced surface area, rapid onset of action, higher saturation solubility, and higher adhesiveness to gastrointestinal epithelium . Many researchers have successfully reduced the particle size by adopting some nanosizing methods , such as self-emulsifying drug delivery systems , freeze drying , film dispersion-homogenization , and supercritical antisolvent [7, 13, 14].
However, the commercial applications of nanosizing methods mentioned above are limited due to the disadvantage of excessive amount of solubilizer, difficulty in particle size control, and high cost. Wet ball milling (WBM) technique is regarded as one of the most successful top-down nanosizing techniques. It is an aqueous grinding process, which reduces the drug particle size to nanoscale by high-speed friction, collision, and extrusion between grinding beads [15–18]. Various water-insoluble drugs like Rapamune®, Emend®, Tricor®, and Megace ES® [19, 20] have been studied so far for bioavailability enhancement by this method since it has the unique advantages of high efficiency, high drug concentration, and continuous operation ability. Nevertheless, there is no previous systematic study on the preparation of GBE nanoparticles by WBM technique. The Box–Behnken design (BBD) method is a powerful and accurate statistical technique, which can simultaneously observe the relationship between the effects of individual parameters on the responses and minimize the number of experimental runs [21–25].
In this work, some efforts have been made to optimize the conditions for preparing GBE by WBM based on BBD method. Furthermore, GBE concentration, milling speed, milling time, and sodium dodecyl sulfate (SDS) concentration on GBE particle size were investigated systematically by BBD method.
2. Materials and Methods
GBE (compose of 96% flavonol glycosides and 24% terpene lactones), flavonol glycosides, and quercetin provided by Lunan Houpu Pharmaceutical Co., Ltd. (China) was used as a raw material for experiments. Microcrystalline cellulose, crosslinked carboxymethyl cellulose sodium, silicon dioxide, crosslinked povidone, magnesium stearate, and 80% ethanol supplieded by New Era Pharmaceutical Co., Ltd. (China) were selected as the excipient to prepare Ginkgo biloba tablets. Methanol (purity 99.92%) and 25% hydrochloric acid were supplied by Sinopharm Chemical Reagent Co. Ltd. (China). The pure water made by the laboratory used in the experiment. In order to improve the solubility of the raw materials and promote the stability of the prepared suspension, it is necessary to add a certain amount of solubilizer. In this experiment, SDS purchased from SuZhou KuangShi Chemical Co. Ltd. (China) was selected as the solubilizer.
2.2. Preparation of GBE Nanosuspension
A nanoscale GBE suspension was prepared by WBM using a laboratory ball mill DYNO-MILL ECP-AP 05(WAB Machinery Co. Ltd., Switzerland), equipped with EYELA cooling water circulation equipment (Shanghai Ailang Instruments Co. Ltd., China) to keep the grinding chamber at low temperature. Formulation factors are GBE concentration and SDS concentration, whereas operating parameters are milling time and milling speed and their effects on GBE nanosuspension particle size after milling was assessed using the BBD method. According to the experimental plan given in Table 1, each factor was varied at three levels, resulting in 29 experimental runs in total.
2.3. Sample Characterization
The particle size and dispersion coefficient (PDI) of GBE were determined by a nanoparticle size analyzer N5 (Beckman Coulter, Inc., USA). A sample of GBE was diluted to an appropriate concentration and measured with a scattering angle of 90° at 25°C. Differential scanning calorimetry (DSC) was performed using a DSC TG209F3 (Netzsch, Inc., Germany) with standard aluminium sample pans and covers. Scanning electron microscopy (SEM) was performed using an EM-30 Plus (COXEM, Inc., Korea) to observe the surface morphology of GBE. Intelligent dissolution tester RCY-1400 T (Tianjin, China) and Shimadzu ultraviolet spectrophotometer UV-2401PC (USP, Hangzhou Coulomb Technology Co. LTD, China) was used to study the GBE dissolution rate changes before and after grinding. High-performance liquid chromatography (HPLC) was measured to study the influence of WBM processing on flavonol glycosides’ dissolution release using Waters HPLC (Waters Inc., America).
2.4. Design of Experiments
In order to describe the influence of the interaction between the factors on the GBE nanosuspension particle size, multiple regression analysis was performed on the basis of the experimental data. Experimental data was statistically analyzed by BBD using the software Design-Expert 10.0. The design consisted of 29 runs was carried out to optimize the levels of the selected independent factors: GBE concentration (), milling speed (), milling time (), and SDS concentration (). The codes and actual variables are presented in Table 1. The behavior of the process was explained by the second-order polynomial equation of quadratic order as follows: where denotes the value of the particle size, whereas , ,, and represent the regression coefficient for the term intercept, linear, square, and interaction effects, respectively. Also, and are the independent variables.
3. Results and Discussion
3.1. Optimization of WBM by BBD
After measurement, it can be seen from Table 2 and Figure 1 that only five experimental particle sizes are larger than 360 nm and most of the experimental particle sizes could be controlled between 170 nm and 250 nm. The experimental results were all right and within the expected results. PDI values for most formulation were less than or equal to 0.5, which is an indicator of good particle size uniformity. After applying multiple linear regressions, the following polynomial model describing the quantitative effect of studied formulation and operating variables and their first-order interaction on the response was obtained:
A positive sign of the terms in Equation (2) indicates a synergistic effect, while a negative sign indicates an antagonistic effect of the response. The quality of the developed model was evaluated based on the correlation coefficient () value. The value of 0.9276 assures the significant adjustment to the quadratic model to experimental data, and it provides an appropriate estimate of response in the studied range as shown in Figure 2. The analysis of variance (ANOVA) is the statistical tool which defines the significance and accuracy of developed quadratic response surface model. According to ANOVA results (Table 3), the ‘ value’ of 12.81 and the ‘ value’ less than 0.05 imply that this model is significant. The smaller the ‘ value,’ the more significant is the corresponding coefficient. Obviously, SDS concentration is the most significant variable for the response with the smallest value of <0.0001 but milling time does not have an influence on the particle size with the highest value among the four variables. The same conclusion can be drawn from Figure 3 that four parameters have significant effects in the order (SDS concentration > GBE concentration > milling speed > milling time) on the GBE particle size. The ratio of signal-to-noise ratio defines the value of adequate precision which should be greater than 4, and the ratio of 13.825 for the preparation of GBE nanosuspension particles represents the adequate signal for the model was used to navigate the design space. Obviously, the points on the residual normal graph (Figure 4) are close to the straight line, which indicates the accuracy of the model, as well as the independence of the residuals.
The optimal conditions of GBE nanosuspension prepared were predicted by Derringer’s desirability function. Based on all the above results, GBE nanosuspension particle size with 171.2 nm was obtained under the optimum conditions of GBE concentration (7.459 g/L), milling speed (9.253 m/s), milling time (1.492 h), and SDS concentration (0.846 g/L). Table 4 summarized the optimum size of GBE particles prepared by other methods. It is seen from the table that the optimum size of GBE particles prepared by other methods were less than that of WBM; however, high-pressure homogenization needs high energy input and are highly inefficient compared with WBM. In addition, the downside of emulsion solvent evaporation involves high amounts of surfactants due to the high fraction of aggregates retrieved after the process. Meanwhile, it is difficult for liquid antisolvent precipitation and supercritical antisolvent to remove the residual solvent completely and meet the industrial level.
3.2. Effect of Influencing Factors on GBE Nanosuspension Particle Size
In order to gain a better understanding of their interactions with GBE nanosuspension particle size, three-dimensional (3D) response surface plots for the measured responses were formed based on the regression equation (Equation (2)). The 3D response surface analysis plots for particle size of microparticles are illustrated in Figures 5–8.
3.2.1. Effect of GBE Concentration
It is present that GBE concentration had a significant influence on GBE nanosuspension particle size with the ‘ value’ of 0.0083 in Table 3. Figures 5 and 6 clearly illustrate that the GBE nanosuspension particle size increases with GBE concentration increases. This may be due to fact that GBE suspension has a strong viscosity at higher GBE concentration, and it alters or hinders the processing of nanosuspension on WBM. On the one hand, nanoparticles have the characteristics of large specific surface area, high surface energy, and extremely unstable energy state. On the other hand, there are strong van der Waals forces and electrostatic forces between the molecules and atoms on the surface of the nanoparticle and a large number of positive and negative charges accumulate on the surface, which can facilitate particle agglomeration. When a critical GBE concentration is reached, the addition of SDS is necessary for successful milling.
3.2.2. Effect of Milling Speed
Effects of milling speed varying at 6, 8, and 10 m/s on GBE nanosuspension particle size were exhibited in Figures 6 and 7. No clear trend was observed between the milling speed and particle size. Under low milling speed, the shear force provided by the stirring head rotation is not enough to open the cohesion between aggregates. In addition, under high milling speed, the collision between grinding ball and drug produces high energy and strong shear force, which increases the energy loss and reduces the dispersion efficiency. Thus, varying the milling speed, no significant changing in the particle size occurred.
3.2.3. Effect of Milling Time
The influence of the milling time was investigated at 0.5, 1, and 2 h, fixing all the other operating parameters at a certain level. It was observed that milling time does not have a significant effect on the particle size with the highest value of 0.2834 compared with other variables, as it is possible to observe in Figures 5 and 8. Due to the fast ball milling process of GBE, the particles collide with the ball, which produces high heat and high power in short time. Consequently, the heat could not be discharged from the milling chamber in time and it will be conducive to the agglomeration of particles. However, when the critical particle size is reached, the kinetic energy provided by the milling balls is insufficient to break the particle and the heat was removed from the milling chamber with time elapsing. Therefore, the heat exchange between the cooling circulating system and the milling chamber achieves dynamic balance, having no significant effect on the particle size.
3.2.4. Effect of SDS Concentration
The effect of SDS concentration on GBE nanosuspension particle size has been studied. ‘ value’ of <0.0001 given in Table 3 indicates that SDS concentration greatly influences the GBE nanosuspension particle size. As can be seen in Figures 7 and 8, SDS concentration had a positive effect on GBE nanosuspension particle size as it increased from 0.1 to 1 g/L. The addition of SDS is necessary for successful milling due to its highly hydrophobic nature of GBE and poor wettability. The high SDS concentration facilitates adsorption of the solubilizer molecules, which provides a barrier to agglomeration via steric or electrostatic stabilization effect. However, the surface area of nanosuspension particles is limited, which leads to limited adsorption capacity of the solubilizer. Excess SDS tends to form micelles and increases solubility of GBE due to the electrostatic attraction and the hydrogen bonds, resulting in Ostwald ripening and PDI reduction.
3.3. Characterization of GBE Nanosuspensions
3.3.1. SEM Analysis
In addition to particle size analysis, the SEM micrographs further confirmed that the milling process is effective in converting the original GBE particles into the nanometer range. Sample powders were placed on a silicon wafer, which was mounted on an aluminium pin stub. Gold was coated in vacuum by sputtering coater and observed by SEM at 15 kV voltage. SEM micrographs of GBE particles at different conditions are displayed in Figure 9. It was found that the raw material of GBE (Figure 9(a)) showed irregularly flake-shaped particle agglomerates of nonuniform size; conversely, the freeze-dried nanosuspension (Figures 9(b) and 9(c)) had particles of uniform size where most of the particles exhibit spherical morphology characteristic.
3.3.2. DSC Analysis
The melting behavior for the raw material and milled GBE was analyzed by DSC. Measurements were carried out with a heating rate of 10 K/min, and the nitrogen purge gas flow rate was set to 25 mL/min. As can be seen in Figure 10(a), the DSC curve for the raw material had endothermal peaks at 88.7°C, while the DSC curve for the milled GBE in Figure 10(b) showed apparent endothermal peaks at 63.4°C. SDS did not exhibit any melting event during heating due to its amorphous nature (data not shown). However, the melting peak of the milled GBE was not as sharp as the raw material and slightly shifted. A GBE melting peak was clearly visible in the thermograms of all analyzed samples. The melting point depression decreases with the decrease of crystal size according to the Gibbs-Thomson equation; meanwhile, WBM also induces disorder of the drug lattice as a high energy process, which also lowers their melting point.
3.3.3. Dissolution Analysis
Generally, USP was carried out to investigate the dissolution rate of samples. GBE nanosuspension was first frozen in laboratory freezer (−20°C) and then freeze-dried. The obtained GBE solid powder and raw materials were, respectively, pressed into standard tablets weighing 14.7 mg with excipients (microcrystalline cellulose, crosslinked carboxymethyl cellulose sodium, silicon dioxide, crosslinked povidone, magnesium stearate, and 80% ethanol) in a certain proportion for dissolution test. Dissolution medium, volume, and temperature of dissolution medium were adopted: pure water, 900 mL and °C, respectively. In addition, the paddle device with a speed of 50 r/min was considered. After the start of the test in certain periods of time (5, 10, 15, 30, 40, 60, and 120 min), 5 mL of the dissolved medium sample was drawn. Each sample was repeated thrice. In order to maintain a constant volume of dissolution medium, fresh medium was added to vessels. Samples were filtered through 0.45 μm Whatman filter paper and analyzed by spectrophotometry at 266 nm (raw material samples) relative to their respective medium to determine drug release. The formula is as follows: where the standard was 100% of drug release.
Dissolution release and error bar of raw materials and optimized GBE were shown on Figure 11. It should be pointed out that the optimized GBE showed better dissolution properties than the raw materials, especially at the beginning of 40 minutes. The dissolution rate of optimized GBE can reach 65% in the first 5 minutes and is fully released at 40 minutes, whereas the raw material of GBE can be completely dissolved in 60 minutes. It could be explained by the fact that particle size reduction and SDS concentration are major factors to the improvement of solubility.
The influence of WBM processing on the dissolution release of flavonol glycosides was studied by HPLC. Firstly, 3 g quercetin was added to 100 mL methanol solution to prepare the reference solution. Secondly, 10 g optimized GBE was added to 25 mL methanol-25% hydrochloric acid solution (4 : 1), and the solution was placed into water bath to heat and reflow for 30 minutes. Methanol was adopted to dilute the solution to 50 mL after cooling to room temperature to prepare the test solution. The elution was employed using an Novapak C18 column (, 5 μm). The column was equilibrated at a flow rate of 1.0 mL/min with an injection volume equal to 10 μL; the mobile phase consisted of methanol (50%) and phosphoric acid solution (50%). Sample solutions were filtered with a 0.45 μm membrane syringe, and detected at 360 nm. The dissolution release of raw flavonol glycosides and optimized GBE were exhibited in Figure 12. The similarity factors calculated was 39, indicating that the optimized GBE shows significant differences and exhibits better dissolution properties compared with raw flavonol glycosides.
In this study, GBE nanosuspension with most nanoparticles below 200 nm and uniform size distribution is produced by WBM process with careful selection of influencing factors. Analysis of experimental results showed that the SDS concentration was the most significant factor on particle size, followed by GBE concentration and milling speed, and milling time was the slighter significant factor. Additionally, the optimal GBE nanosuspension particle with 171.2 nm was obtained using GBE concentration (7.459 g/L) in combination with milling time (1.492 h), mill rotation speed (9.253 m/s), and SDS concentration (0.846 g/L). Finally, the morphology, melting behavior, and dissolution rate were analyzed for the GBE nanosuspension, respectively. In conclusion, the WBM process proposed in the study proved to be a feasible way to improve the bioavailability of GBE and it can be used as a reference for the production of GBE particles.
The (data type) data used to support the findings of this study are included within the article.
Conflicts of Interest
The authors declare no conflict of interest exits in the submission of this manuscript.
We express our grateful thanks to the National Engineering Research Center for Chiral Pharmaceuticals and Complex injection technology research center of Shandong Province.
L. Liu, Y. Wang, J. Zhang, and S. Wang, “Advances in the chemical constituents and chemical analysis of _Ginkgo biloba_ leaf, extract, and phytopharmaceuticals,” Journal of Pharmaceutical and Biomedical Analysis, vol. 193, article 113704, 2021.View at: Publisher Site | Google Scholar
F. Kramer and A. Ortigoza, “Ginkgo biloba for the treatment of tinnitus,” Medwave, vol. 18, no. 6, 2018.View at: Publisher Site | Google Scholar
G. Y. Yang, Y. Y. Wang, J. Sun, K. Zhang, and J. P. Liu, “Ginkgo biloba for mild cognitive impairment and Alzheimer’s disease: a systematic review and meta-analysis of randomized controlled trials,” Current Topics in Medicinal Chemistry, vol. 16, no. 5, pp. 520–528, 2016.View at: Google Scholar
I. Martínez-Solís, N. Acero, F. Bosch-Morell et al., “Neuroprotective potential of Ginkgo biloba in retinal diseases,” Planta Medica, vol. 85, no. 17, pp. 1292–1303, 2019.View at: Publisher Site | Google Scholar
S. Salehi, S. R. Long, P. J. Proteau, and T. M. Filtz, “Hawthorn (Crataegus monogyna Jacq.) extract exhibits atropine-sensitive activity in a cultured cardiomyocyte assay,” Journal of Natural Medicines, vol. 63, no. 1, pp. 1–8, 2009.View at: Publisher Site | Google Scholar
H. W. Zhu, Z. F. Shi, and Y. Y. Chen, “Effect of extract of Ginkgo bilboa leaf on early diabetic nephropathy,” Chinese Journal of Integrated Traditional and Western Medicine, vol. 25, no. 10, pp. 889–891, 2005.View at: Google Scholar
C. Zhao, L. Wang, Y. Zu et al., “Micronization of _Ginkgo biloba_ extract using supercritical antisolvent process,” Powder Technology, vol. 209, no. 1-3, pp. 73–80, 2011.View at: Publisher Site | Google Scholar
S. Aslam, N. Jahan, K. U. Rehman, and S. Ali, “Formulation, optimisation and in-vitro, in-vivo evaluation of surfactant stabilised nanosuspension of Ginkgo biloba,” Journal of Microencapsulation, vol. 36, no. 6, pp. 576–590, 2019.View at: Google Scholar
F. Fontana, P. Figueiredo, P. Zhang, J. T. Hirvonen, D. Liu, and H. A. Santos, “Production of pure drug nanocrystals and nano co-crystals by confinement methods,” Advanced Drug Delivery Reviews, vol. 131, pp. 3–21, 2018.View at: Publisher Site | Google Scholar
J. Tang, J. Sun, F. Cui, T. Zhang, X. Liu, and Z. He, “Self-emulsifying drug delivery systems for improving oral absorption of Ginkgo biloba extracts,” Drug Delivery, vol. 15, no. 8, pp. 477–484, 2008.View at: Publisher Site | Google Scholar
T. Rui, L. Zhang, H. Qiao et al., “Preparation and physicochemical and pharmacokinetic characterization of Ginkgo lactone nanosuspensions for antiplatelet aggregation,” Journal of Pharmaceutical Sciences, vol. 105, no. 1, pp. 242–249, 2016.View at: Publisher Site | Google Scholar
Y. Jin, J. Wen, S. Garg et al., “Development of a novel niosomal system for oral delivery of Ginkgo biloba extract,” International Journal of Nanomedicine, vol. 8, pp. 421–430, 2013.View at: Publisher Site | Google Scholar
Y. Zu, L. Wang, X. Zhao et al., “Purification ofGinkgo bilobaExtract by antisolvent recrystallization,” Chemical Engineering and Technology, vol. 39, no. 7, pp. 1301–1308, 2016.View at: Publisher Site | Google Scholar
S. F. Miao, J. P. Yu, Z. Du, Y. X. Guan, S. J. Yao, and Z. Q. Zhu, “Supercritical fluid extraction and micronization of Ginkgo flavonoids from Ginkgo biloba leaves,” Industrial and Engineering Chemistry Research, vol. 49, no. 11, pp. 5461–5466, 2010.View at: Publisher Site | Google Scholar
R. Al-Kassas, M. Bansal, and J. Shaw, “Nanosizing techniques for improving bioavailability of drugs,” Journal of Controlled Release, vol. 260, pp. 202–212, 2017.View at: Publisher Site | Google Scholar
X. Huang, K. Dong, L. Liu et al., “Physicochemical and structural characteristics of nano eggshell calcium prepared by wet ball milling,” LWT, vol. 131, p. 109721, 2020.View at: Publisher Site | Google Scholar
A. Bhakay, M. Merwade, E. Bilgili, and R. N. Dave, “Novel aspects of wet milling for the production of microsuspensions and nanosuspensions of poorly water-soluble drugs,” Drug Development and Industrial Pharmacy, vol. 37, no. 8, pp. 963–976, 2011.View at: Publisher Site | Google Scholar
P. Baláž, M. Achimovičová, M. Baláž et al., “ChemInform abstract: hallmarks of mechanochemistry: from nanoparticles to tecnology,” ChemInform, vol. 44, no. 43, 2013.View at: Publisher Site | Google Scholar
E. Merisko-Liversidge and G. G. Liversidge, “Drug nanoparticles: formulating poorly water-soluble compounds,” Toxicologic Pathology, vol. 36, no. 1, pp. 43–48, 2008.View at: Publisher Site | Google Scholar
V. B. Junyaprasert and B. Morakul, “Nanocrystals for enhancement of oral bioavailability of poorly water-soluble drugs,” Asian Journal of Pharmaceutical Sciences, vol. 10, no. 1, pp. 13–23, 2015.View at: Publisher Site | Google Scholar
F. Gharibzadeh, R. Rezaei Kalantary, S. Nasseri, A. Esrafili, and A. Azari, “Reuse of polycyclic aromatic hydrocarbons (PAHs) contaminated soil washing effluent by bioaugmentation/biostimulation process,” Separation and Purification Technology, vol. 168, pp. 248–256, 2016.View at: Publisher Site | Google Scholar
S. Sharifi, R. Nabizadeh, B. Akbarpour, and A. Azari, “Modeling and optimizing parameters affecting hexavalent chromium adsorption from aqueous solutions using Ti-XAD7 nanocomposite: RSM-CCD approach, kinetic, and isotherm studies,” Journal of Environmental Health Science and Engineering, vol. 17, pp. 873–888, 2019.View at: Google Scholar
M. Heydari Moghaddam, R. Nabizadeh, M. H. Dehghani, B. Akbarpour, A. Azari, and M. Yousefi, “Performance investigation of Zeolitic Imidazolate Framework - 8 (ZIF-8) in the removal of trichloroethylene from aqueous solutions,” Microchemical Journal, vol. 150, article 104185, 2019.View at: Publisher Site | Google Scholar
H. Li, S. van den Driesche, F. Bunge, B. Yang, and M. J. Vellekoop, “Optimization of on-chip bacterial culture conditions using the Box-Behnken design response surface methodology for faster drug susceptibility screening,” Talanta, vol. 194, pp. 627–633, 2019.View at: Publisher Site | Google Scholar
S. N. Nam, H. Cho, J. Han, N. Her, and J. Yoon, “Photocatalytic degradation of acesulfame K: optimization using the Box-Behnken design (BBD),” Process Safety and Environmental Protection, vol. 113, pp. 10–21, 2018.View at: Publisher Site | Google Scholar
L. L. Wang, X. H. Zhao, Y. G. Zu et al., “Enhanced dissolution rate and oral bioavailability of ginkgo biloba extract by preparing nanoparticles via emulsion solvent evaporation combined with freeze drying (ESE-FR),” RSC Advances, vol. 6, no. 81, pp. 77346–77357, 2016.View at: Publisher Site | Google Scholar
L. L. Wang, X. H. Zhao, F. J. Yang et al., “Enhanced bioaccessibilityin vitroand bioavailability of Ginkgo biloba extract nanoparticles prepared by liquid anti-solvent precipitation,” International Journal of Food Science & Technology, vol. 54, no. 6, pp. 2266–2276, 2019.View at: Publisher Site | Google Scholar