Economic analysis of uricase production under uncertainty: Contrast of chromatographic purification and aqueous two-phase extraction (with and without PEG recycle)

J of Chemical Tech & Biotech

Morales‐Guzman

Ruiz‐Ruiz

et al. 2018

Self Cite

BACKGROUND Invertase use in the food industry is limited by production costs. Alternative strategies for extraction, such as aqueous two‐phase systems (ATPS) and three‐phase partitioning (TPP), could be economically feasible for yeast invertase. Economic modeling of bioprocesses makes possible the identification of critical parameters for production costs and emulation of real scenarios, moreover incorporation of uncertainty is possible. This study performed an economic analysis on the production of invertase using ATPS or TPP, also a virtual optimization of ATPS was done. RESULTS TPP provided a lower production cost than ATPS ($145 vs $59.3 per 1 million enzymatic units, respectively). The critical parameter for TPP is recovery yield as it is highly dependent on operating conditions. In contrast, ATPS is dependent on materials costs as the sample load is smaller for ATPS, requiring a larger system. Although TPP provided a lower cost, t‐butanol hinders its acceptance. CONCLUSION Virtual optimization of ATPS found that varying sample load or system size is not enough to have a lower production cost than TPP, but provided insights for reduction of production costs and development of a safer technique. This study provides a framework for the virtual analysis of ATPS and TPP to evaluate their processes and reduce production costs. © 2018 Society of Chemical Industry

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Monte Carlo economic analysis of Baker's yeast invertase purification using two‐ and three‐phase partitioning

J of Chemical Tech & Biotech

Morales‐Guzman

Ruiz‐Ruiz

et al. 2018

Self Cite

“…To create the variations analyzed in the worst and best‐case scenarios, published or experimental data can be used. For the variation in materials costs, a range of ±25% was used as reported before, while labor wages were varied ±10%. Production titer range used was 7.95 × 10 14 ± 4.95 × 10 13 UFP/L, these values consist of the mean plus and minus three standard deviations, in order to cover above 99% of possible values.…”

Section: Sensitivity Analysismentioning

confidence: 99%

Economic evaluation of the development of a phage therapy product for the control of Salmonella in poultry

Clavijo

Vaglio

et al. 2019

Biotechnology Progress

Poultry products are one of the major transmission media of Salmonella enteritidis to humans. A promising alternative to reduce the load of Salmonella in poultry are bacteriophages. Elsewhere, a mixture of six bacteriophages has been used successfully, but large‐scale production would be necessary to supply potential poultry market and costs analyses have not been calculated yet. For this, a powerful tool to predict production costs is bioprocess modeling coupled with economic analyses. This work aims to model the scaled‐up production of a six bacteriophages mixture based on a laboratory/pilot‐scale production using Biosolve Process. For the model construction, a combination of experimental and reported data was applied, in which different production alternatives and the range of 1–100% of the Colombian poultry market (at broiler's farm and slaughterhouse) were analyzed. Results indicate that the best cost‐effective process configuration/scale is to use one bioreactor (156 L) for the six bacteriophages, then a 0.45 μm filtration for removal of biomass, and a 0.22 μm filtration for sterility; this to supply the 35% of the market size for broiler farms (equivalent to 210 million chickens). This configuration gives a production cost per chicken of US$ 0.02. Additionally, a sensitivity analysis and a theoretical contrast for understanding the impact that titer and recovery have on production scale determined that titer affects the most the cost and requires optimization. The present works serves as a first, and required, approach for the development of phage therapy products that are alternatives to present‐day pathogens control strategies.

“…The impact of improvement on process parameters at large scale production of recombinant proteins using ATPS were analyzed and compared to the recovery of pharmaceutical‐grade uricase through chromatography. It was found that ATPS provided a lower production cost for production of uricase, moreover, the incorporation of recycling of phase forming chemicals does not increase production costs significantly.…”

Section: Strategies To Maximize Large‐scale Atps Incorporationmentioning

confidence: 99%

“…From an economic perspective, recycling of ATPS components has been evaluated through bioprocess modeling . For the recovery of recombinant uricase, a model has been constructed with and without phase recycling .…”

Section: Potential Trends and Current Challengesmentioning

confidence: 99%

Aqueous Two‐Phase Systems at Large Scale: Challenges and Opportunities

Mayolo‐Deloisa

González‐Valdez

et al. 2018

Biotechnology Journal

Self Cite

Aqueous two-phase systems (ATPS) have proved to be an efficient and integrative operation to enhance recovery of industrially relevant bioproducts. After ATPS discovery, a variety of works have been published regarding their scaling from 10 to 1000 L. Although ATPS have achieved high recovery and purity yields, there is still a gap between their bench-scale use and potential industrial applications. In this context, this review paper critically analyzes ATPS scale-up strategies to enhance the potential industrial adoption. In particular, large-scale operation considerations, different phase separation procedures, the available optimization techniques (univariate, response surface methodology, and genetic algorithms) to maximize recovery and purity and economic modeling to predict large-scale costs, are discussed. ATPS intensification to increase the amount of sample to process at each system, developing recycling strategies and creating highly efficient predictive models, are still areas of great significance that can be further exploited with the use of high-throughput techniques. Moreover, the development of novel ATPS can maximize their specificity increasing the possibilities for the future industry adoption of ATPS. This review work attempts to present the areas of opportunity to increase ATPS attractiveness at industrial levels.