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Enhanced delivery of Dacarbazine using Nanosponge loaded Hydrogel for Targeted Melanoma Treatment: Formulation, statistical optimization and Pre-clinical Evaluation

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JOURNAL OF PHARMACEUTICAL INNOVATION 2025年第1期20卷 1-16页

作者： Vankudre, Sarah Shirkoli, Nisha Hawaldar, Rahul Shetti, Hritika KLE Acad Higher Educ & Res KLE Coll Pharm Dept Pharmaceut Qual Assurance Nehru Nagar Belagavi 590010 Karnataka India

PurposeConventional cancer treatments often possess systemic side effects, limiting their efficacy. Nanosponges present a promising solution for targeted drug delivery, allowing precise release of encapsulated drugs and enhanced *** a statistical design approach (Box- Behnken design), the nanosponges were optimized to achieve controlled particle size and drug % EE. The optimized formulation (DZ-NS 4) was incorporated into a hydrogel base using HPMC to enable controlled drug delivery. In-vitro, in-vivo, and ex-vivo characterisations were performed to assess drug release, skin permeation and *** optimized DZ nanosponges showed controlled particle size (338.6 nm) and high entrapment efficiency (92.2%). Subsequent in-vitro characterization of DZ nanosponge hydrogel demonstrated sustained drug release (82% over 12 h), and ex-vivo showed effective skin permeation (73% through sheep skin), and good in-vivo biocompatibility showing minimal signs of skin reactions. The optimized formulation exhibited substantial anti-proliferative activity, with an IC50 value of 68.81 mu g/mL, compared to the standard cisplatin, which had an IC50 value of 6022.0 mu g/mL, indicating superior inhibition of melanoma cell ***-Taken together, this study successfully designed a novel Dacarbazine nanosponges hydrogel with promising topical therapeutic option for Melanoma treatment, offering targeted delivery, sustained therapeutic effects, and minimal systemic side effects.

关键词： Dacarbazine Nanosponge Melanoma statistical optimization Sustained drug release Anti-cancer activity

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statistical optimization of Dry Deshaling for Indian Coals Using Response Surface Methodology

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INTERNATIONAL JOURNAL OF COAL PREPARATION AND UTILIZATION 2016年第3期36卷 125-138页

作者： Gupta, Nikhil Luttrell, Gerald H. Bratton, Robert C. Virginia Polytech Inst & State Univ Blacksburg VA 24061 USA

Dry deshaling is receiving renewed attention in the coal-mining industry. In this methodology, high-density rock is removed from run-of-mine (ROM) coal at the mine extraction point and prior to shipping. One of the popular technologies used globally, the density-based vibrating air-table, was tested on a pilot-scale at three different coal-processing facilities in India. In this article, statistical analysis of the resulting test data was conducted using response surface methodology (RSM). The study identified that out of the four major operating parameters (i.e., tilt, slope, fan speed, and table vibrations), vibration frequency and its combined effect with slope impact the deshaling performance the most. In addition, empirical equations formulated using regression analyses were used for simultaneous optimization of the significant parameters in order to achieve the highest performance for the separation of Indian coals. The optimal operating conditions were determined using a desirability function for the three coal types using the pilot-scale unit. The numerical solutions indicate that a high-deshaling performance for Indian coals can be achieved at operating conditions that include lower table vibration, higher slope, and lower fan speed.

关键词： Coal deshaling dry separation vibrating table inclined deck statistical optimization

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statistical optimization of Underwater Lower-Frequency Sound Insulation for Locally Resonant Sonic Material Using Genetic Algorithm

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ARCHIVES OF ACOUSTICS 2019年第2期44卷 365-374页

作者： Yuan, Bo Chen, Yong Tan, Bilian Li, Bo Chongqing Univ Technol Sch Mech Engn Chongqing 400054 Peoples R China Natl Univ Def Technol Coll Aerosp Sci & Engn Changsha 410073 Hunan Peoples R China NYU Coll Arts & Sci 550 1St Ave New York NY 10012 USA

The locally resonant sonic material (LRSM) is an artificial metamaterial that can block underwater sound. The low-frequency insulation performance of LRSM can be enhanced by coupling local resonance and Bragg scattering effects. However, such method is hard to be experimentally proven as the best optimizing method. Hence, this paper proposes a statistical optimization method, which first finds a group of optimal solutions of an object function by utilizing genetic algorithm multiple times, and then analyzes the distribution of the fitness and the Euclidean distance of the obtained solutions, in order to verify whether the result is the global optimum. By using this method, we obtain the global optimal solution of the low-frequency insulation of LRSM. By varying parameters of the optimum, it can be found that the optimized insulation performance of the LRSM is contributed by the coupling of local resonance with Bragg scattering effect, as well as a distinct impedance mismatch between the matrix of LRSM and the surrounding water. This indicates coupling different effects with impedance mismatches is the best method to enhance the low-frequency insulation performance of LRSM.

关键词： underwater acoustic sound insulation local resonance statistical optimization global optimum

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statistical optimization studies for polyhydroxybutyrate (PHB) production by novel Bacillus subtilis using agricultural and industrial wastes

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INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY 2019年第7期16卷 3497-3512页

作者： Hassan, M. A. Bakhiet, E. K. Hussein, H. R. Ali, S. G. City Sci Res & Technol Applicat SRTA City Prot Res Dept GEBRI POB 21934 Alexandria Egypt Al Azhar Univ Fac Sci Bot & Microbiol Dept POB 71524 Assiut Egypt

Substituting petroleum-derived polymers with biodegradable and biocompatible polyhydroxybutyrate (PHB) is a challenge to sustain the environmental system. This study intends to optimize the cultural conditions for PHB production by nonpathogenic Bacillus subtilis isolated from Jatropha field. Various agricultural and industrial wastes such as corn bran, corncob, wheat bran, rice bran, dairy waste, and sugarcane molasses were utilized for PHB production. Among these wastes, rice bran was the best carbon source for PHB production (0.31g/l) with 30.4% of the dry cell weight (DCW). Cultural parameters influencing PHB production were studied employing Plackett-Burman and Box-Behnken designs. Accordingly, pH, incubation time, and inoculum size were found to be the most influential factors on PHB production. Using optimized conditions, sixfold augment in PHB content (0.81g/l, 62.6% DCW) was attained using rice bran. PHBs obtained from glucose and rice bran were characterized using H-1 NMR, FT-IR, TGA, and DSC analysis. Structures of PHBs were comparable, whereas the findings of thermal studies revealed that rice bran-derived PHB showed higher thermal stability with lower melting temperature than glucose-derived PHB. These results substantiate the potential use of this safe isolate utilizing inexpensive substrates for PHB production that could be adopted in medical applications.

关键词： PHB Bacillus subtilis statistical optimization Rice bran H-1 NMR

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statistical optimization for production of chitin deacetylase from Rhodococcus erythropolis HG05

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CARBOHYDRATE POLYMERS 2014年第1期102卷 649-652页

作者： Sun, Yuying Zhang, Jiquan Wu, Shengjun Wang, Shujun Huaihai Inst Technol Jiangsu Key Lab Marine Biotechnol Lianyungang 222005 Peoples R China Chinese Acad Sci Inst Oceanol Qingdao 266071 Peoples R China

A strain producing chitin deacetylase (CDA) was isolated and identified as Rhodococcus erythropolis by morphological characteristics and 16S rDNA analysis, named as R. erythropolis HG05. By Plackett-Burman and central composite design, CDA production from R. erythropolis HG05 was increased from 58.00 U/mL to 238.89 U/mL. With the crude enzyme from R. erythropolis HG05, the hydrolysate components from colloid chitin were chito-oligosaccharides with polymerization number larger than hexaose. (C) 2013 Elsevier Ltd. All rights reserved.

关键词： Chitin deacetylase Rhodococcus erythropolis statistical optimization

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statistical optimization of Condition for Synthesis Lead Sulfide Nanoparticles

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MATERIALS AND MANUFACTURING PROCESSES 2009年第5期24卷 524-528页

作者： Pourmortazavi, S. M. Hajimirsadeghi, S. S. Rahimi-Nasrabadi, M. Malek Ashtar Univ Technol Fac Mat & Mfg Technol Tehran Iran Imam Hossein Univ Dept Chem Tehran Iran

Lead sulfide (PbS) nanoparticles were synthesized by precipitation process. Taguchi analysis was used in this study to optimize experimental conditions. High-purity PbS nanoparticles in different sizes were synthesized on a relatively large scale by precipitation method using addition of leads ion solution to the sulfide reagent. The effect of reaction conditions such as: lead (Pb) and sulfide (S) concentrations, flow rate of reagent addition, and temperature on the diameter of synthesized PbS particles were investigated. The effect of these factors on the size of PbS particles were quantitavely evaluated by the analysis of variance (ANOVA). The results showed that PbS nanoparticles can be synthesized by controlling Pb concentration, S concentration, flow rate of reagent addition. Finally, the optimum conditions for synthesis of PbS nanoparticles by direct precipitation method were proposed. The results of ANOVA showed that 0.1mol/L Pb concentration, 0.1mol/L sulfide concentration, and 10ml/min flow rate of Pb addition to the sulfide ion solution are optimum conditions for producing PbS nanoparticles with 838nm particle size.

关键词： ANOVA Flow rate IR detectors Lead sulfide (PbS) Mixing Nanoparticle optimization Particle size Powder preparation Precipitation Semiconductor Solar absorbers statistical optimization Taguchi method Temperature effect

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statistical optimization of cell disruption techniques for releasing intracellular X-prolyl dipeptidyl aminopeptidase from Lactococcus lactis spp. lactis

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ULTRASONICS SONOCHEMISTRY 2016年 29卷 163-171页

作者： Ustun-Aytekin, Ozlem Ansoy, Sevda Aytekin, Ali Ozhan Yildiz, Ece Pamukkale Univ Fac Engn Dept Food Engn TR-20020 Kinikli Denizli Turkey Yeditepe Univ Fac Engn Dept Genet & Bioengn TR-34755 Istanbul Turkey Ege Univ Fac Engn Dept Bioengn TR-35100 Izmir Turkey

X-prolyl dipeptidyl aminopeptidase (PepX) is an intracellular enzyme from the Gram-positive bacterium Lactococcus lactis spp. lactis NRRL B-1821, and it has commercial importance. The objective of this study was to compare the effects of several cell disruption methods on the activity of PepX. statistical optimization methods were performed for two cavitation methods, hydrodynamic (high-pressure homogenization) and acoustic (sonication), to determine the more appropriate disruption method. Two level factorial design (2FI), with the parameters of number of cycles and pressure, and Box-Behnken design (BBD), with the parameters of cycle, sonication time, and power, were used for the optimization of the high-pressure homogenization and sonication methods, respectively. In addition, disruption methods, consisting of lysozyme, bead milling, heat treatment, freeze-thawing, liquid nitrogen, ethylenediaminetetraacetic acid (EDTA), Triton-X, sodium dodecyl sulfate (SOS), chloroform, and antibiotics, were performed and compared with the high-pressure homogenization and sonication methods. The optimized values of high-pressure homogenization were one cycle at 130 MPa providing activity of 114.47 mU ml(-1), while sonication afforded an activity of 145.09 mU ml(-1) at 28 min with 91% power and three cycles. In conclusion, sonication was the more effective disruption method, and its optimal operation parameters were manifested for the release of intracellular enzyme from a L. lactis spp. lactis strain, which is a Gram-positive bacterium. (C) 2015 Elsevier B.V. All rights reserved.

关键词： X-prolyl dipeptidyl aminopeptidase Lactococcus lactis spp. lactis Cell disruption methods statistical optimization Sonication

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statistical optimization of Thermostable α-Amylase Production by a Newly Isolated Rhizopus oryzae Strain FSIS4 Using Decommissioned Dates

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WASTE AND BIOMASS VALORIZATION 2017年第6期8卷 2017-2027页

作者： El-Okki, Amel Ait Kaki El-Hadef Gagaoua, Mohammed Bennamoun, Leila Djekrif, Shahrazed Hafid, Kahina El-Okki, Mohamed El-Hadef Meraihi, Zahia Univ Freres Mentouri Constantine 1 INATAA Route Ain El Bey Constantine 25000 Algeria Univ Freres Mentouri Constantine 1 Lab Genie Microbiol & Applicat Ain El Bey Rd Constantine 25000 Algeria Univ Freres Mentouri Constantine 1 Equipe MaQuaV INATAA Route Ain El Bey Constantine 25000 Algeria Univ Freres Mentouri Constantine 1 Lab Biol & Environm Ain El Bey Rd Constantine 25000 Algeria

A new Rhizopus oryzae strain FSIS4 isolated from wheat seed cultivated in Algerian Sahara was evaluated for the production of a thermostable alpha-amylase enzyme. Medium components were optimized by a statistical approach for the optimal production of alpha-amylase using an agro-industrial residue (decommissioned dates). The Plackett-Burman design was performed to screen the fermentation variables and response surface methodology for optimizing the significant factors affecting the production. The optimum levels for maximum production of alpha-amylase (approx 10,151 IU) were determined. A 1.8-fold increase of production was obtained in comparison to the non optimized medium. Partial characterization of the enzyme showed optimal temperature and pH at 60 degrees C and 5.0, respectively. The enzyme was found to be stable at 80 and 90 degrees C, with a half-life of 165 and 105 min, respectively. According to the large literature, this is the first report on the production of alpha-amylase by the thermophilic R. oryzae strain FSIS4. The thermo and pH stability of the alpha-amylase suggest its wide application in the food and pharmaceutical industries.

关键词： Rhizopus oryzae Thermostable alpha-amylase Algerian Sahara Decommissioned dates statistical optimization

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statistical optimization of media for mycelial growth and exo-polysaccharide production by Lentinus edodes and a kinetic model study of two growth morphologies

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BIOCHEMICAL ENGINEERING JOURNAL 2010年第1期49卷 104-112页

作者： Feng, Yi-Li Li, Wei-Qi Wu, Xue-Qian Cheng, Jun-Wen Ma, Su-Yun Zhejiang Univ Coll Life Sci Inst Microbiol Hangzhou 310058 Zhejiang Peoples R China Zhejiang Forestry Acad Key Lab Biol & Chem Utilizat Forest Resources Hangzhou 310023 Zhejiang Peoples R China

Lentinus edodes (shiitake mushroom) is a well-known medicinal and edible mushroom throughout the world. statistical optimization was employed to optimize the culture medium for maximum mycelial growth and exo-polysaccharide (EPS) production in submerged fermentation: Plackett-Burman design (PBD) was applied to determine significant factors, followed by the paths of steepest ascent to move to the general vicinity of the optimum and Box-Behnken design (BBD) to obtain the final optimum culture medium composition. Glucose, yeast-powder and pH were significant for fermentation. 15.4 g glucose and 5.32 g yeast-powder per liter and pH 4.61 were optimum for the biomass accumulation from 2.75 g/l to 6.88 g/l, while 15.78 g glucose and 5.86 g yeast-powder per liter and pH 4.48 were optimum for EPS production from 0.214 g/l to 0.751 g/l. Under the optimized cultivation condition, cultivation kinetic models were studied in flask (pellet growth form) and airlift (filamentous growth form) reactors. The two morphologies resulted in different culture processes and mathematical models. (C) 2009 Elsevier B.V. All rights reserved.

关键词： Lentinus edodes statistical optimization Biomass Exo-polysaccharide Morphology Growth kinetics

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statistical optimization of arsenic biosorption by microbial enzyme via Ca-alginate beads

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JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH PART A-TOXIC/HAZARDOUS SUBSTANCES & ENVIRONMENTAL ENGINEERING 2018年第5期53卷 436-442页

作者： Banerjee, Suchetana Banerjee, Anindita Sarkar, Priyabrata Univ Calcutta Dept Polymer Sci & Technol Biosensor Lab 92 APC Rd Kolkata 700009 W Bengal India

Bioremediation of arsenic using green technology via microbial enzymes has attracted scientists due to its simplicity and cost effectiveness. statistical optimization of arsenate bioremediation was conducted by the enzyme arsenate reductase extracted from arsenic tolerant bacterium Pseudomonas alcaligenes. Response surface methodology based on Box-Behnken design matrix was performed to determine the optimal operational conditions of a multivariable system and their interactive effects on the bioremediation process. The highest biosorptive activity of 96.2 mu g gm(-1) of beads was achieved under optimized conditions (pH = 7.0;As (V) concentration = 1000ppb;time = 2h). SEM analysis showed the morphological changes on the surface of enzyme immobilized gluteraldehyde crosslinked Ca-alginate beads. The immobilized enzyme retained its activity for 8 cycles. ANOVA with a high correlation coefficient (R-2 > 0.99) and lower Prob > Fvalue (<0.0001) corroborated the second-order polynomial model for the biosorption process. This study on the adsorptive removal of As (V) by enzyme-loaded biosorbent revealed a possible way of its application in large scale treatment of As (V)-contaminated water bodies.

关键词： Arsenate arsenate reductase biosorption statistical optimization response surface methodology box-behnken design

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