Process Parameters For Production Research Articles

A novel two-stage aeration strategy for Bacillus thuringiensis biopesticide production from biowaste digestate through solid-state fermentation

A novel aeration strategy has been developed at lab and bench-scale for Bacillus thuringiensis (Bt) derived biopesticides production through solid-state fermentation, using a mixture of digestate and biowaste as substrates. A Box-Behnken design was performed to select key parameters of the spore production process, being temperature and biodegradability the factors with a significant effect. Further tests confirmed the importance of oxygen content for spore production. Thus, a two-stage aeration strategy consisting of a microaeration phase followed by a high-rate aeration period was developed and tested. The production strategy was validated in a 22-L reactor using two different strains (Bt kusrtaki, Btk, and israelensis, Bti), demonstrating the robustness of the protocol. Maximum production of 1.3 × 108 spores g-1 dry matter for Btk and 4 × 108 spores g-1 dry matter for Bti were obtained, representing a final yield of 5 and 29 spores produced per initial CFU, respectively.

The optimization of oil extraction from macroalgae, Rhizoclonium sp. by chemical methods for efficient conversion into biodiesel

Optimization of biodiesel production from freshwater macroalgae, Rhizoclonium sp. was investigated in this study. Biodiesel production process parameters such as chemical solvent extraction, hexane:ether and different extraction techniques were optimized by using the response surface methodology based on the central composite design. Optimization of the transesterification process was conducted by varying two factors each at three different levels and this required a total of thirteen runs. A quadratic model was created to predict the biodiesel yield where the R2 value was found to be 0.97, which indicates the satisfactory accuracy of the model. Based on the results, the optimum process parameters for transesterification of the macroalgae Rhizoclonium sp. oil mixture at an agitation speed of 300 rpm over a period of 180 min was found to be a hexane:ether molar ratio 1:1(40 mL), NaOH catalyst concentration of 1 wt% and reaction temperature of 45 °C. Finally, a process optimization found highest macroalgae oil by simple treatment was 0.376 ± 0.14 g and ultrasonic treatment was 6.044 ± 0.81 g is the highest of biodiesel weight. For transesterification reaction from macroalgae oil, a triglyceride was mixed with 0.25 g methanol converted to biodiesel into methyl esters. The biodiesel weight 0.174 ± 0.034 g and 82.2% of the total fatty acid methyl esters (FAME) were confirmed from gas chromatography (GC) analysis. The biodiesel properties were characterized and the results obtained. Design-Expert Version 11 was used to draw both 3D surface plots and 2D contour plots to predict the optimum biodiesel yield.

Decision Support System for the Production of Miscanthus and Willow Briquettes

The biomass is regarded as a part of renewable energy sources (RES), which can satisfy energy demands. Biomass obtained from plantations is characterized by low bulk density, which increases transport and storage costs. Briquetting is a technology that relies on pressing biomass with the aim of obtaining a denser product (briquettes). In the production of solid biofuels, the technological as well as material variables significantly influence the densification process, and as a result influence the end quality of briquette. This process progresses differently for different materials. Therefore, the optimal selection of process’ parameters is very difficult. It is necessary to use a decision support tool—decision support system (DSS). The purpose of the work was to develop a decision support system that would indicate the optimal parameters for conducting the process of producing Miscanthus and willow briquettes (pre-comminution, milling and briquetting), briquette parameters (durability and specific density) and total energy consumption based on process simulation. Artificial neural networks (ANNs) were used to describe the relationship between individual parameters of the briquette production process. DSS has the form of a web application and is opened from a web browser (it is possible to open it on various types of devices). The modular design allows the modification and expansion the application in the future.

Biochar production and applications in agro and forestry systems: A review

Biochar is a product of biomass thermochemical conversion. Its yield and quality vary significantly with the production technology and process parameters, which also affect its performance in agro and forestry systems. In this review, biochar production technologies including slow pyrolysis, fast pyrolysis, gasification, and torrefaction were compared. The yield of biochar was found to decrease with faster heating rate or more oxygen available. The benefits of biochar application to agro and forestry systems were discussed. Improvements in soil health, plant growth, carbon sequestration, and greenhouse gas mitigation are apparent in many cases, but opposite results do exist, indicating that the beneficial aspect of biochar are limited to particular conditions such as the type of biochar used, the rate of application, soil type, climate, and crop species. Limitations of current studies and future research needed on biochar are also discussed. Specifically, the relationships among biochar production technologies, biochar properties, and biochar performance in agro and forestry systems must be better understood.

The effect of nutrient and phytohormone supplementation on the growth, pigment yields and biochemical composition of newly isolated microalgae

The selection of cultivation conditions for enhancing the productivity and yields of key metabolites are essential for the economic viability of the microalgae-based biorefinery process. The effects of cultivation parameters on microalgal physiology are often species or strain specific. It is hence critical to establish baseline parameters for newly isolated strains and manipulate the culture conditions to optimise their metabolite yields.In this study, five microalgae strains isolated from the west of Ireland were cultivated under varying macronutrient concentrations (NaNO3 and NaH2PO4) and phytohormones (salicylic acid and methyl jasmonate) supplementation to establish their effects on growth rates, photosynthetic pigments and overall biochemical composition.Increasing the medium nitrate content 3-fold resulted in a significant increase in growth, pigments and lipids for 4 of the 5 strains. Methyl jasmonate supplementation caused an increase in carotenoids and lipids in all strains in a dose- and species-specify manner. Salicylic acid treatment induced an increase in protein content in Rhodella sp. APOT_15 and the two chlorophyta strains, K. aperta DMGFW_21 and B. submarina APSW_11.Overall, tailoring the cultivation conditions for each strain can lead to improved strain performance and the identification of key process parameters for the upscaled production of high-value metabolites.

Warm Mix Asphalt—A German Case Study

In Germany, warm mix asphalt (WMA) is not commonly used although this technology was initially introduced to the practice between the 60s and the 80s. The current guidelines are devoted to the reduction of the mixing temperature for mastic asphalt (MA) (Gussasphalt). Due to this requirement, a number of products consisting of plain or polymer modified binder premixed with additives such as wax are available on the market. However, a well-established set of regulations addressing the production process and performance parameters is not available as in the case of conventional hot mix asphalt (HMA). For this reason, a case study which aimed to address the effects of viscosity changing additives (waxes) on asphalt mixture properties was conceived. In this large experimental study, three different additives (waxes) were used. First, the impact of waxes on asphalt binder properties and the corresponding rheological response were evaluated. Then, performance tests, such as rutting resistance tests, fatigue tests, and low temperature behavior tests, were conducted on asphalt mixtures AC 11 B S and AC 16 D S prepared with plain and polymer modified binders. No significant reduction in compaction temperature was observed when waxes were incorporated in the mix design. All additives were capable of improving rutting resistance, while poorer low temperature performance was exhibited. Based on the experimental campaign, the use of waxes could be recommended only to facilitate mixing.

Optimized process parameters for production of Chlorella pyrenoidosa biomass and lipids using response surface methodology

To utilize microalgae as a valuable bioresource, the effect of growth conditions on their yield and biochemical product production must be determined. We employed response surface methodology in the function of a Box-Behnken design to derive the functional relationship between environmental conditions and the microalgal biomass and lipid content of Chlorella pyrenoidosa. C. pyrenoidosa was grown in BG-11 medium from 20 to 30 °C, 100 to 200 μmol photons m−2 s−1 light intensity, and 7.5 to 9.5 pH. A total of 17 experimental runs were analyzed for the effect of three parameters of interest (temperature, light intensity, and pH). The statistical model and regression equation of the program predicted the optimal conditions for accumulating the highest biomass and lipid content. As predicted by the model, the optimized conditions of 24.70 °C, 178 μmol photons m−2 s−1 of light intensity, and a pH of 8.74 produced the maximal experimental results of C. pyrenoidosa algal biomass and lipid content, 2.90 g L−1 and 27.12%, respectively. Under optimal conditions, C. pyrenoidosa synthesized 53.25% of total polyunsaturated fatty acids, 23.53% of total monounsaturated fatty acids, and 23.07% of saturated fatty acids; α-linolenic acid was the most abundant fatty acid (39.93%) and is an essential ω-3 polyunsaturated fatty acid for commercial algal products. The optimized process parameters obtained in this work have provided a basis for further large volume photobioreactor culturing for biomass and lipid content.

In-flame spheroid formation from non-spherical slag particles – A numerical and experimental study

In order to identify the key factors for successful and efficient production, the formation of spherical particles from highly non-spherical coal slag grains was investigated within this work. The main focus was on precise drag and heat transfer calculations in order to obtain suitable criteria to predict the later product quality. State-of-the-art combustion, radiation and multiphase models in combination with specially adapted closure relations for drag and heat transfer were used for this purpose. The second objective was to investigate the relationship between particle temperature, viscosity, surface tension, shape and time required by the particles to obtain a smooth, round surface while passing through the burner chamber. In the first step, the process was investigated in experimental work. Slag particles were injected into an experimental furnace with a thermal input of 70 kW. The slag particles heated up which caused a reduction of slag viscosity by several orders of magnitude. While passing through the furnace, the sharp-edged powder grains transformed into smooth, highly spherical particles due to their surface tension. Numerical calculations were used to identify the main influence factors of in-flame spheroid formation. The effects of particle temperature, size, initial shape and residence time on the sphericity of the particle were studied using a Volume of Fluid (VOF) multiphase model and single-particle simulations which allowed calculations of the interface between an isothermal particle and the surrounding gas phase, as well as the interface deformation due to surface tension. The calculations have shown, that particles with volume-equivalent diameters in the range 420 µm-840 µm and an initial sphericity of 0.65 transform to spheroids in timescales in the order of 10−1 – 10° s when heated to temperatures above 1373 K. The critical particle temperature value of 1373 K was also confirmed by Euler-Lagrangian calculations of the reactive multiphase flow in the furnace. It has been shown that the particle peak temperature is a sufficient criterion for the formation of spheroids from highly non-spherical particles and that fluid temperature and particle residence time are the most important parameters of the later production process.

Study of polylactide matrices using x-ray microtomography

Three-dimensional matrices of biodegradable polymers are promising materials for regenerative medicine. They are widely used in restoring the integrity and functions of tissues and organs using bio-artificial tissue engineering structures. We present the results of studying the structure of porous bioresorbable polymer matrices for tissue engineering using X-ray microtomography. Samples were obtained by supercritical fluid plasticization of D,L-polylactide with subsequent foaming in cylindrical molds. The tomographic method makes it possible to construct a three-dimensional voxel model of the object under study and gain apart from the estimate on the integral matrix porosity (characteristic data obtained by traditional sorption procedures) additional information about the size and spatial distribution of pores thus providing a possibility of optimization of the process parameters for production of polylactide matrices required for specific biomedical applications of architectonics, as well as forecasting the processes of their bioresorption in enzymatic media. The experiments were carried out on a laboratory microtomograph (Mo anode, the scan time of the sample is 120 min, the detector pixel size is 9 μm). Tomographic reconstruction was performed by algebraic method. The binarization procedure required for calculation of the structural characteristics of studied matrices was implemented by the method with the choice of a global threshold. Calculations of the porosity and homogeneity of the porosity distribution in the bulk, as well as estimation of the specific surface area of pores revealed the isotropy of the spatial structure of polylactide matrices.

Quantification of economic potential of 5G for latency critical applications in production

A fourth industrial revolution has started with the objective of making the vision of highly efficient, connected and flexible manufacturing systems reality. Reliable communication systems being capable of handling several orders of magnitude the number of resources, diverse type of information and reaction times, will be the foundation of future manufacturing systems.The forthcoming 5G mobile communications standard appears to be an effective way to achieve a communication system for factories of the future. As wireless communication technology, 5G-Technology can substantially reduce installation and maintenance costs while allowing to easily connect mobile or inaccessible devices and simplify line layout. Providing low latencies, high data transmission rates and the possibility of operating many devices simultaneously in narrowly restricted radio cells, 5G meets the demands of future manufacturing systems and has great potential to accelerate the ongoing digital transformation. Especially the characteristics of low latency (1 ms or less) and thus the possibility of monitoring and controlling complex production processes in near real-time hold a significant potential of 5G for manufacturing. Despite these prospected advantages, benefits of integrating 5G in a production process can barely be quantified yet. Current studies show that 40% of enterprises cite poor measurability of economic benefits of 5G for their specific processes as key concern. However, it is highly important to estimate these benefits before investing in such an elementary technology.This paper describes an approach for the quantification of economic potential of 5G for latency-critical applications in production. The core element of this approach is a framework of quantification criteria for the economic profitability of 5G technology based on production process parameters. This is mainly achieved by considering the improvements in product quality and process efficiency that are caused by using 5G for the considered production processes. These improvements are then converted into economic benefits to allow a process specific budgeting of 5G before the investment. To demonstrate and validate the proposed concept, the presented approach is applied to a latency critical 5-axis milling process of a Blade-Integrated Disk (BLISK), a jet engine’s compressor component.

Use of Central Composite Design and Artificial Neural Network for Predicting the Yield of Biodiesel

Abstract The correlation and prediction of optimum process parameters in biodiesel production is useful in obtaining high rate of conversion of vegetable oil to biodiesel as well as in process control. In this study, the correlation of the operating parameters such as reaction time, reaction temperature, stir speed, catalyst concentration and methanol-oil ratio at a pressure of 400 kPa for the production and prediction of the optimum biodiesel yield during biodiesel production was carried out using the Central Composite Design (CCD) and Artificial Neural Network (ANN). By adjusting networks and initializing weights, the neural network was iteratively trained with the aid of the Levenberg Marquardt algorithm in MATLAB R2018b environment using experimental results from the central composite design. From the analysis of results obtained, the correlation coefficients, adjusted and predicted R as well as R squared were close to1. In addition, predicted values from the central composite design and neural network show good correlation results when compared to the experimental data. The validation of the neural network was done with arbitrary values and random selection of process parameters. The observed output in terms of percentage yield of biodiesel from the trained network fell within the range of experimental results, thus, indicating that the network is an efficient tool for correlating and predicting process parameters for biodiesel production.

Effect of corn straw pretreatment on efficiency of biogas production process: Computer simulation

Anaerobic digestion is a natural process of organic material degradation by different kinds of microorganisms in the absence of oxygen. This process is used for industrial purpose to manage waste streams or to produce biogas. It gives a major contribution in reduction of harmful effects of organic waste disposal to the environment. The aim of agricultural waste pretreatment in biogas production is to decrease the retention time, improve utilization of raw material and improve the overall productivity and energy efficiency of the production process. In this paper the effects of combined chemical and mechanical pretreatment of corn straw biomass on biogas yield during anaerobic digestion of the feedstock were analyzed. The impact of pretreatment and process parameters in biogas production was analyzed by process simulation using the software SuperPro Designer. Using this tool, it was shown that alkaline pretreatment leads to an decrease of degradation time along with an increase in biogas yield.

Evaluating the Risk of Salmonellosis from Dry Roasted Sunflower Seeds

Outbreaks and recalls related to nuts and seeds in the United States have increased recently, and 80% of these recalls are due to Salmonella. The U.S. Food and Drug Administration's Food Safety Modernization Act requires food manufacturers to implement risk-based preventive controls based on scientific and technical evidence. Data are limited on the inactivation of Salmonella during processing of saltwater brined in-shell sunflower seeds. The goal of this research was to validate the adequacy of roasting in controlling Salmonella during the production of sunflower seeds and to assess the resulting risk. Four Salmonella strains were inoculated onto sunflower seeds and processed to simulate commercial manufacturing. Seeds were tumbled and roasted at 225°F (107.2°C) and 275°F (135°C) for roasting times from 5 to 45 min. Regression models for Salmonella inactivation and water activity change were developed. The inactivation model predicted a 5-log reduction in Salmonella when sunflower seeds were roasted at 135°C for 19.2 min, with a corresponding water activity of ∼0.61. Roasted sunflower seeds are typically not saleable at water activities >0.6 due to quality issues. Saleable water activities (0.03 to 0.04) were only achieved when the sunflower seeds were roasted for 45 min at 135°C, which resulted in a >7-log reduction in Salmonella. A quantitative microbial risk assessment based on literature values, expert opinion, and the above-mentioned models was used to predict risk of salmonellosis from sunflower seeds. The quantitative microbial risk assessment model predicted an arithmetic mean probability of illness of 1.45E-07 per 28-g serving based on roasting at 135°C for 20 min and an arithmetic mean probability of illness of 5.46E-10 per serving based on roasting at 135°C for >45 min (i.e., saleable product process parameters). This study demonstrates that sunflower seeds roasted to saleable parameters should not represent a public health risk from potential presence of Salmonella.

Thermomechanical Analysis of the Effects of Water Distribution on Cracks during Vertical Continuous Casting under Soft Reduction Conditions

In the production process of continuous casting slab, the unreasonable secondary cooling system can lead to serious crack defects. This study focuses on the problem of cracks in nuclear power stainless steel produced by vertical continuous casting under soft reduction conditions. Based on the actual production process parameters, the thermomechanical finite element model was established to investigate the effects of water distribution in the secondary cooling zones on cracks by using ProCAST. The results show that the stress concentration is obvious under the original process, especially the positions of 4 mm below the wide surface and 6 mm below the narrow surface. It is easy to generate cracks, and the area with the highest hot‐tearing index is approximately 26 cm2. In addition, the secondary cooling system is adjusted based on the existing problems of the original process. The temperature of the casting slab rises by about 15°C at the solidification end point, and the length of the liquid core increases by about 0.5 m when the quantity of the water flow decreases in zone 2 and zone 3. The stress concentration is alleviated, and the possibility of cracking is reduced. Especially, it is evident that the proportion of water on the loose side margin increases from 40% to 45%, while the proportion of water on the fixed side margin of zone 3 is adjusted from 56% to 60%.

INNOVATIVE DECISIONS TO IMPROVE FOOD QUALITY AND SAFETY

The scope of the project consisted in research-based development of new complex food additives from lactic acid and its derivatives for enhancing microbiological safety and shelf life extension of healthy food products. The object of research included: trial samples of complex food additives from lactic acids and its derivatives. The samples were obtained chemically using the following basic components: food grade lactic acid with 79.6% base substance mass fraction; acetic acid with 99.8% base substance mass fraction; propionic acid with 99.6% base substance mass fraction; neutralizing agents for synthesis of salts of the acids used, and propylene glycol with 99.8% base substance mass fraction. The optimal balance of the ingredients in the formula of the additive delivers the optimal level of true acidity combined with antimicrobial and antioxidant effect, and enhances organoleptical performance and process parameters of food products. This complex food additive containing lactate and acetate features high counter-regulatory effect on testing cultures of pathogenic organisms of rope spoilage of wheat bread and can be used for production of non-perishable products. The use of complex food additive in the production of dressed fish preserves activates biochemical processes related to fish maturation and delivers improved product quality and extended shelf life.

Evaluation of some process parameters for production of investment bar castings

This investigation aims at evaluating some process parameters for the production of aluminium alloy investment castings using polystyrene as pattern material and Plaster of Paris as investment slurry. The process parameters considered are the shell thickness, casting thickness and pouring temperature and the effect of varying these parameters on the mechanical properties of aluminium silicon magnesium alloy (A356) produced through the investment casting method is being investigated in this work. The effects of these variables were studied using design of experiments (D.O.E) via Taguchi’s L9 orthogonal array method. The castings produced were subjected to mechanical tests such as tensile strength, impact strength and hardness test using Monsanto tensometer and Avery impact and Avery hardness testing machines respectively. The results obtained were analysed using Minitab software 17. The results showed that the tensile strength, impact strength and hardness were optimum when the shell thickness was 5 mm, pouring temperature was 665 o C and the bar cross section was 64 mm 2 respectively. The investigation concludes that investment shell of thin thickness, casting thickness of smaller bar sections and lower pouring temperatures in the range of 665 o C - 690 o C were the most suitable parameters that produced optimum results with better mechanical properties in this study. Keywords: Investment casting, Polystyrene pattern, Plaster of Paris slurry

EFFICIENT LACTAMIDE SYNTHESIS BY FED-BATCH METHOD USING NITRILE HYDRATASE OF RHODOCOCCUS PYRIDINIVORANS NIT-36

Lactamide is used in the synthesis of lactic acid esters and as a solvent in many ecofriendly formulations. Till date lactamide synthesis was accomplished by employing chemical methods involving harsh reaction conditions while the enzyme-based approach ensures high purity lactamide synthesis under ambient environment without the intervention of acid byproducts using lactonitrile as substrate. Nitrile hydratase of Rhodococcus pyridinivorans NIT-36 was expressed by supplementing the growth medium with inducer i.e. lactamide. A 1.7-fold increase in enzyme activity was recorded by double feeding of the inducer. A further two-fold enhancement in enzymatic activity was achieved by the statistical optimization of process parameters for lactamide production by Response Surface Methodology. The substrate, lactonitrile inhibited the enzyme at higher concentrations, hence a fed-batch approach was adopted. The enzyme substrate ratio was standardized and the enzyme completely converted 15 mM of lactonitrile to lactamide in 30 minutes using 2 mg/ml resting cells. The fed-batch was performed at 1 L scale and 100% biotransformation of 360 mM of lactonitrile to lactamide was achieved at 45°C in 720 minutes. The catalytic productivity of 14.5 g/g dcw/h for lactamide formation was finally recorded in the 1 L fed-batch reaction.

Monitor application of multi-electrochemical sensor in extracting bromine from seawater.

In this paper, a set of online measurement devices of multi-electrochemical sensor was investigated. Combined with industrial distributed control system, it was first applied in extracting bromine from seawater to realize the real-time adjustment of production process parameters. In the process of extracting bromine from seawater, the pH value of acidified raw brine, the addition amount of Cl2 in the oxidation stage and the addition amount of SO2 in the absorption stage are key parameters to control the whole production process. The multi-electrochemical sensor realized a rapid and high-throughput detection of the above parameters by integrating an all-solid-stage bromide ion selective electrode (Br-ISE), Eh electrode and pH electrode. The Br-ISE and the pH electrode were self-developed electrodes and the Pt electrode was Eh electrode. The pH electrode was used to control the addition amount of H2SO4 during the acidification of the brine. The Eh electrode was used to control the addition amount of Cl2 during the oxidation stage and the addition amount of SO2 during the absorption stage. The Br-ISE was used to monitor the Br− concentration change in the raw brine. Results showed the optimum range of Eh in the oxidation stage and absorption stage of brine were 950–1000 mV and 580–610 mV, respectively. The application of multi-electrochemical sensor in industrial bromine production can realize real-time control of material addition and save the cost of production.

Evaluation of different hydrocolloids and drying temperatures in the drying kinetics, modeling, color, and texture profile of murta (Ugni molinae Turcz) berry leather

AbstractThe aim of this study is to describe the drying kinetics of a murta (Ugni molinae Turcz) berry purée to obtain a fruit leather through mathematical model and determine the effect of different hydrocolloids on the mass diffusion coefficient, activation energy, surface color, and texture profile at different drying temperatures. Three hydrocolloids were used: 1% gelatin, 0.2% carrageenan, and 4% starch at three process temperatures: 50, 60, and 70°C and a formulation without hydrocolloid as control. The hydrocolloids and process temperature influenced the drying time. The mass diffusion coefficient varied depending on the process temperature and hydrocolloids with values between 1.2665 × 10−10 m2 s−1 and 4.5341 × 10−10 m2 s−1. The Midilli & Kucuk model had a better fit to experimental values. A MANOVA indicated that hydrocolloids and process temperature had a significant effect on color and texture of fruit leather. The process temperature and concentration of hydrocolloids are important factors for drying process design.Practical ApplicationsFruit leather is a low humidity product and stable at room temperature. It can be made with surpluses, discards, or mixtures of fruits, being a new alternative of preservation and healthy consumption. The murta berry is a stationary fruit with antioxidant properties hardly been explored at an industrial level and fruit leathers can be a novel production alternative. Hydrocolloids have gelling and stabilizing characteristics. For this reason, they are used to improve the formation of fruit leathers, although it is necessary to know their effects on physical characteristics as color and texture of the final product. These features are important for consumers' purchasing decision. The convective drying process parameters for fruit leather production as: moisture content, diffusion coefficient, and activation energy can be determined by mathematical modeling. The knowledge of these parameters is important for drying process designs.

Assessment of Optimized Process Parameters for Superior Bioactive Metabolite Production by Nonomuraea longicatena VSM-16 Using Response Surface Methodology

Objectives: The present work was carried out to check the capability of novel actinobacterium, Nonomuraea longicatena (VSM-16) for bioactive metabolite production and optimization of its process parameters by statistical and mathematical modeling. Methods: Response Surface Methodology (RSM) regression evaluation was done to fit the experimental data of each response with the aid of second order polynomial. Unstructured kinetic models had been developed for growth, substrate utilization and bioactive metabolite production (in terms of responses). Model based kinetic parameters were estimated and the profiles of bioactive metabolite production, substrate utilization and growth had been drawn. Results: The results have shown accurate interaction among process variables at optimized values of incubation time at 8-9 days, pH at 8-9, temperature at 30-31°C, concentrations of Mannitol at 2-2.2% and Biopeptone at 1.5-1.7% and the data have been effectively fitted into second-order polynomial models. Under these conditions, the responses (zones of inhibition) of various organisms Staphylococcus aureus, Streptococcus mutans, Xanthomonas campestris, Pseudomonas aeruginosa and Candida albicans have been also matched with experimental and predicted consequences. Conclusion: The zones of inhibition (responses) for the organisms had been also determined to be best fitted with experiment and model values. Key words: Bioactive metabolites, Mathematical modeling, Nonomuraea longicatena, Optimization, Regression Analysis, Response Surface Methodology.