Mathematical Modelling as a Tool for Optimized PHA Production
Open accessAbstract
The potential of poly(hydroxyalkanoates) (PHAs) to replace conventional plastic materials justifies the increasing attention they have drawn both at lab-scale and in industrial biotechnology. The improvement of large-scale productivity and biochemical/genetic properties of producing strains requires mathematical modeling and process/strain optimization procedures. Current models dealing with structurally diversified PHAs, both structured and unstructured, can be divided into formal kinetic, low-structured, dynamic, metabolic (high-structured), cybernetic, neural networks and hybrid models; these attempts are summarized in this review. Characteristic properties of specific groups of models are stressed in light of their benefit to the better understanding of PHA biosynthesis, and their applicability for enhanced productivity. Unfortunately, there is no single type of mathematical model that expresses exactly all the characteristics of producing strains and/or features of industrial-scale plants; in addition, the different requirements for modelling of PHA production by pure cultures or mixed microbial consortia have to be addressed. Therefore, it is crucial to sophisticatedly adapt and fine-tune the modelling approach accordingly to actual processes, as the case arises. For “standard microbial cultivations and everyday practices”, formal kinetic models (for simple cases) and “low-structured” models will be appropriate and of great benefit. They are relatively simple and of low computational demand. To overcome the specific weaknesses of different established model types, some authors use hybrid models. Here, satisfying compromises can be achieved by combining mechanistic, cybernetic, and neural and computational fluid dynamics (CFD) models. Therefore, this hybrid modelling approach appears to constitute the most promising solution to generate a holistic picture of the entire PHA production process, encompassing all the benefits of the original modelling strategies. Complex growth media require a higher degree of model structuring. For scientific purposes and advanced development of industrial equipment in the future, real systems will be modelled by highly organized hybrid models. All solutions related to modelling PHA production are discussed in this review.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Various biopolymers from food wastes such as PHAs, PBAT, PHB, polylactic acid and polyesters have been identified and investigated and promising results are obtained.
“Various biopolymers from food wastes such as PHAs, polybutylene adipate terephthalate (PBAT), polyhydroxybutyrate (PHB), polylactic acid and polyesters have been identified and investigated and promising results are obtained [108,109,110].”
From Food Waste Biorefinery: Pathway towards Circular Bioeconomy (2021) · cites this paper as [109]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Hierarchical Mixtures of Experts and the EM Algorithm
Jordan, M. I., & Jacobs, R. A. (1994) · Neural Computation · doi:10.1162/neco.1994.6.2.181 · Cited by 2,730 · see citing works
ON THE LAW OF EFFECT <sup>1</sup>
Herrnstein, R. J. (1970) · Journal of the Experimental Analysis of Behavior · doi:10.1901/jeab.1970.13-243 · Cited by 2,611 · see citing works
A protocol for generating a high-quality genome-scale metabolic reconstruction
Thiele, I., & Palsson, B. Ø. (2010) · Nature Protocols · doi:10.1038/nprot.2009.203 · Cited by 1,789 · see citing works
A microbial polyhydroxyalkanoates (PHA) based bio- and materials industry
Chen, G. (2009) · Chemical Society Reviews · doi:10.1039/b812677c · Cited by 1,302 · see citing works
Understanding the control of metabolism
(1997) · Choice Reviews Online · doi:10.5860/choice.34-6252 · Cited by 1,230 · see citing works
A kinetic study of the lactic acid fermentation. Batch process at controlled pH
Luedeking, R., & Piret, E. L. (1959) · Journal of Biochemical and Microbiological Technology and Engineering · doi:10.1002/jbmte.390010406 · Cited by 871 · see citing works
Schuster, S. (1999) · Trends in biotechnology · doi:10.1016/s0167-7799(98)01290-6 · Cited by 665 · see citing works
Activated sludge wastewater treatment plant modelling and simulation: state of the art
Gernaey, K. V., van Loosdrecht, M. C. M., Henze, M., et al. (2003) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2003.03.005 · Cited by 576 · see citing works
ON ELEMENTARY FLUX MODES IN BIOCHEMICAL REACTION SYSTEMS AT STEADY STATE
Schuster, S., & Hilgetag, C. C. (1994) · Journal of Biological Systems · doi:10.1142/s0218339094000131 · Cited by 537 · see citing works
Plastic bacteria? Progress and prospects for polyhydroxyalkanoate production in bacteria
Lee, S. Y. (1996) · Trends in biotechnology · doi:10.1016/0167-7799(96)10061-5 · Cited by 531 · see citing works
Kinetics of product inhibition in alcohol fermentation
Aiba, S., Shoda, M., & Nagatani, M. (1968) · Biotechnology and Bioengineering · doi:10.1002/bit.260100610 · Cited by 527 · see citing works
Bacterial and other biological systems for polyester production
Steinbüchel, A., & Füchtenbusch, B. (1998) · Trends in biotechnology · doi:10.1016/s0167-7799(98)01194-9 · Cited by 520 · see citing works
Activated Sludge Model No.2d, ASM2d
Henze, M. (1999) · Water Science & Technology · doi:10.1016/s0273-1223(98)00829-4 · Cited by 502 · see citing works
METATOOL: for studying metabolic networks.
Pfeiffer, T., S√°nchez-Valdenebro, I., Nu√±o, J. C., et al. (1999) · Bioinformatics · doi:10.1093/bioinformatics/15.3.251 · Cited by 382 · see citing works
Nawrath, C., Poirier, Y., & Somerville, C. R. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.26.12760 · Cited by 336 · see citing works
Generalization of monod kinetics for analysis of growth data with substrate inhibition
Luong, J. H. T. (1987) · Biotechnology and Bioengineering · doi:10.1002/bit.260290215 · Cited by 311 · see citing works
Kinetics of ethanol inhibition in alcohol fermentation
Luong, J. H. T. (1985) · Biotechnology and Bioengineering · doi:10.1002/bit.260270311 · Cited by 310 · see citing works
Ghose, T. K., & Tyagi, R. D. (1979) · Biotechnology and Bioengineering · doi:10.1002/bit.260210808 · Cited by 300 · see citing works
Physiology and molecular genetics of poly(β‐hydroxyalkanoic acid) synthesis in Alcaligenes eutrophus
Steinbüchel, A., & Schlegel, H. G. (1991) · Molecular Microbiology · doi:10.1111/j.1365-2958.1991.tb00725.x · Cited by 291 · see citing works
Acién, F. G., García-Camacho, F., Pérez, J. A. S., Fernández-Sevilla, J. M., & Grima, E. M. (1997) · Biotechnology and Bioengineering · doi:10.1002/(sici)1097-0290(19970905)55:5 · Cited by 248 · see citing works
Metatool 5.0: fast and flexible elementary modes analysis
von Kamp, A., & Schuster, S. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl267 · Cited by 247 · see citing works
Mathematical modelling of metabolism
Gombert, A. K., & NIELSEN, J. K. (2000) · Current Opinion in Biotechnology · doi:10.1016/s0958-1669(00)00079-3 · Cited by 188 · see citing works
Analysis and design of metabolic reaction networks via mixed‐integer linear optimization
Hatzimanikatis, V., Floudas, C. A., & Bailey, J. E. (1996) · AIChE Journal · doi:10.1002/aic.690420509 · Cited by 176 · see citing works
Åkerberg, C., Hofvendahl, K., Zacchi, G., et al. (1998) · Applied Microbiology and Biotechnology · doi:10.1007/s002530051232 · Cited by 169 · see citing works
Modelling biological phosphorus and nitrogen removal in a full scale activated sludge process
van Veldhuizen, H. (1999) · Water Research · doi:10.1016/s0043-1354(99)00064-0 · Cited by 145 · see citing works
Studies in intermicrobial symbiosis. Saccharomyces cerevisiae and Lactobacillus casei
Megee, R. D., Drake, J. F., Fredrickson, A. G., et al. (1972) · Canadian Journal of Microbiology · doi:10.1139/m72-269 · Cited by 140 · see citing works
Continuous production of poly-3-hydroxybutyrate by Ralstonia eutropha in a two-stage culture system
Du, G., Chen, J., Yu, J. Z., et al. (2001) · Journal of Biotechnology · doi:10.1016/s0168-1656(01)00266-8 · Cited by 136 · see citing works
Atlić, A., Koller, M., Scherzer, D., Kutschera, C., Fernandes, E. G., Horvat, P., Chiellini, E., & Braunegg, G. (2011) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-011-3260-0 · Cited by 134 · see citing works
Metabolic modeling of mixed substrate uptake for polyhydroxyalkanoate (PHA) production
Jiang, Y., Hebly, M., Kleerebezem, R., Gerard Muyzer, C., & van Loosdrecht, M. C. M. (2010) · Water Research · doi:10.1016/j.watres.2010.10.009 · Cited by 130 · see citing works
Dual nutrient limited growth: models, experimental observations, and applications
Zinn, M., Witholt, B., & Egli, T. W. (2004) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2004.03.030 · Cited by 123 · see citing works
A cybernetic view of microbial growth: Modeling of cells as optimal strategists
Dhurjati, P., Ramkrishna, D., Flickinger, M. C., & Tsao, G. T. (1985) · Biotechnology and Bioengineering · doi:10.1002/bit.260270102 · Cited by 121 · see citing works
Linking ecology with economy: Insights into polyhydroxyalkanoate‐producing microorganisms
Koller, M., Gasser, I., Schmid, F., & Berg, G. (2011) · Engineering in Life Sciences · doi:10.1002/elsc.201000190 · Cited by 120 · see citing works
Carlson, R. P., & Srienc, F. (2003) · Biotechnology and Bioengineering · doi:10.1002/bit.10812 · Cited by 116 · see citing works
Kocharin, K., Siewers, V., & NIELSEN, J. K. (2013) · Biotechnology and Bioengineering · doi:10.1002/bit.24888 · Cited by 107 · see citing works
Sohn, S. B., Kim, T. Y., Park, J. M., & Lee, S. Y. (2010) · Biotechnology Journal · doi:10.1002/biot.201000124 · Cited by 106 · see citing works
Sonnleitner, B., Heinzle, E., Braunegg, G., et al. (1979) · Applied Microbiology and Biotechnology · doi:10.1007/bf00522473 · Cited by 106 · see citing works
Weber, J., Kayser, A., & Rinas, U. (2005) · Microbiology · doi:10.1099/mic.0.27482-0 · Cited by 105 · see citing works
Heinzle, E., & Lafferty, R. M. (1980) · Applied Microbiology and Biotechnology · doi:10.1007/bf00514072 · Cited by 101 · see citing works
Multiple mechanisms controlling carbon metabolism in bacteria
Saier, M. H. (1998) · Biotechnology and Bioengineering · doi:10.1002/(sici)1097-0290(19980420)58:2/3 · Cited by 97 · see citing works
Dias, J. M. L., Serafim, L. S., Lemos, P. C., Reis, M. A. M., & Oliveira, R. (2005) · Biotechnology and Bioengineering · doi:10.1002/bit.20598 · Cited by 95 · see citing works
Kim, J. I., Varner, J., & Ramkrishna, D. (2008) · Biotechnology Progress · doi:10.1002/btpr.73 · Cited by 94 · see citing works
Yagci, N. O., Artan, N., Çokgör, E. U., et al. (2003) · Biotechnology and Bioengineering · doi:10.1002/bit.10765 · Cited by 94 · see citing works
Mulchandani, A., Luong, J. H. T., & Groom, C. A. (1989) · Applied Microbiology and Biotechnology · doi:10.1007/bf00255990 · Cited by 93 · see citing works
Metabolic Engineering from a Cybernetic Perspective. 1. Theoretical Preliminaries
Varner, J. D., & Ramkrishna, D. (1999) · Biotechnology Progress · doi:10.1021/bp990017p · Cited by 92 · see citing works
Hartmann, R., Hany, R., Pletscher, E., et al. (2005) · Biotechnology and Bioengineering · doi:10.1002/bit.20756 · Cited by 88 · see citing works
Zinn, M., Weilenmann, H., Hany, R., et al. (2003) · Acta Biotechnologica · doi:10.1002/abio.200390039 · Cited by 88 · see citing works
Carlson, R. P., & Srienc, F. (2004) · Biotechnology and Bioengineering · doi:10.1002/bit.20044 · Cited by 88 · see citing works
Park, J. M., Kim, T. Y., & Lee, S. Y. (2011) · BMC Systems Biology · doi:10.1186/1752-0509-5-101 · Cited by 87 · see citing works
Yu, J., Si, Y., Keung, W., et al. (2002) · Process Biochemistry · doi:10.1016/s0032-9592(01)00264-3 · Cited by 87 · see citing works
Grousseau, E., Blanchet, E., Déléris, S., et al. (2013) · Bioresource Technology · doi:10.1016/j.biortech.2013.08.120 · Cited by 79 · see citing works
Torres, N. V., Voit, E. O., & Gonzalez-Alcon, C. M. (2000) · Biotechnology and Bioengineering · doi:10.1002/(sici)1097-0290(19960205)49:3 · Cited by 77 · see citing works
A kinetic model for product formation in unstable recombinant populations
Lee, S. B., Seressiotis, A., & Bailey, J. E. (1985) · Biotechnology and Bioengineering · doi:10.1002/bit.260271211 · Cited by 77 · see citing works
A Simple Structured Mathematical Model for Biopolymer (PHB) Production
Khanna, S., & Srivastava, A. K. (2005) · Biotechnology Progress · doi:10.1021/bp0495769 · Cited by 72 · see citing works
Perspectives in the Modeling and Optimization of PHB Production by Pure and Mixed Cultures
Patnaik, P. R. (2005) · Critical Reviews in Biotechnology · doi:10.1080/07388550500301438 · Cited by 70 · see citing works
Vrana, I., Lopar, M., Koller, M., Muhr, A., Salerno, A., Reiterer, A., Malli, K., Angerer, H., Strohmeier, K., Schober, S., et al. (2013) · Bioresource Technology · doi:10.1016/j.biortech.2013.01.126 · Cited by 69 · see citing works
Johnson, K., Kleerebezem, R., & van Loosdrecht, M. C. M. (2009) · Biotechnology and Bioengineering · doi:10.1002/bit.22380 · Cited by 67 · see citing works
Can, H. J. L. V., Braake, H. A. B. T., Bijman, A., Hellinga, C., Luyben, K. C. A. M., & Heijnen, J. J. (1999) · Biotechnology and Bioengineering · doi:10.1002/(sici)1097-0290(19990320)62:6 · Cited by 66 · see citing works
Pardelha, F., Albuquerque, M. G. E., Reis, M. A. M., et al. (2012) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2012.08.017 · Cited by 66 · see citing works
Penloglou, G., Chatzidoukas, C., & Kiparissides, C. A. (2011) · Biotechnology Advances · doi:10.1016/j.biotechadv.2011.06.021 · Cited by 66 · see citing works
Curien, G., Ravanel, S., & Dumas, R. (2003) · European Journal of Biochemistry · doi:10.1046/j.1432-1033.2003.03851.x · Cited by 66 · see citing works
Cybernetic Model Predictive Control of a Continuous Bioreactor with Cell Recycle
Gadkar, K. G., Doyle, F. J., Crowley, T. J., et al. (2003) · Biotechnology Progress · doi:10.1021/bp025776d · Cited by 65 · see citing works
Fuzzy modeling of enzymatic penicillin-G conversion
Babuška, R., van Can, H. J. L., & Verbruggen, H. (1996) · Engineering Applications of Artificial Intelligence · doi:10.1016/s0952-1976(98)00044-x · Cited by 62 · see citing works
Zafar, M., Kumar, S., Kumar, S., & Dhiman, A. (2011) · Bioresource Technology · doi:10.1016/j.biortech.2011.10.024 · Cited by 61 · see citing works
Simulation and optimisation of PHB production in fed-batch culture of Ralstonia eutropha
Shahhosseini, S. (2003) · Process Biochemistry · doi:10.1016/s0032-9592(03)00209-7 · Cited by 61 · see citing works
Katoh, T., Yuguchi, D., Yoshii, H., et al. (1999) · Journal of Biotechnology · doi:10.1016/s0168-1656(98)00177-1 · Cited by 61 · see citing works
Model-based fed-batch cultivation of R. eutropha for enhanced biopolymer production
Patwardhan, P., & Srivastava, A. K. (2004) · Biochemical Engineering Journal · doi:10.1016/j.bej.2004.04.001 · Cited by 59 · see citing works
Modeling pure culture heterotrophic production of polyhydroxybutyrate (PHB)
Mozumder, M. S. I., Goormachtigh, L., Garcia‐Gonzalez, L., et al. (2014) · Bioresource Technology · doi:10.1016/j.biortech.2013.12.103 · Cited by 58 · see citing works
Cybernetic model for synthesis of poly‐β‐hydroxybutyric acid in Alcaligenes eutrophus
Yoo, S. M., & Kim, W. (1994) · Biotechnology and Bioengineering · doi:10.1002/bit.260431107 · Cited by 56 · see citing works
Modeling of the mixed culture and periodic control for PHB production
Tohyama, M., Patarinska, T., Qiang, Z., et al. (2002) · Biochemical Engineering Journal · doi:10.1016/s1369-703x(01)00184-x · Cited by 56 · see citing works
Horvat, P., Vrana, I., Lopar, M., et al. (2012) · Bioprocess and Biosystems Engineering · doi:10.1007/s00449-012-0852-8 · Cited by 51 · see citing works
Carlson, R. P., Wlaschin, A., & Srienc, F. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.2.713-720.2005 · Cited by 51 · see citing works
Kinetics as a tool for polyhydroxyalkanoate production optimization
Braunegg, G., Lefebvre, G., Renner, G., et al. (1995) · Canadian Journal of Microbiology · doi:10.1139/m95-192 · Cited by 50 · see citing works
Metabolic Engineering from a Cybernetic Perspective: Aspartate Family of Amino Acids
Varner, J., & Ramkrishna, D. (1999) · Metabolic Engineering · doi:10.1006/mben.1998.0104 · Cited by 49 · see citing works
Growth characteristics and cell composition of Alcaligenes eutrophus in chemostat culture.
Morinaga, Y., Yamanaka, S., Ishizaki, A., et al. (1978) · Agricultural and Biological Chemistry · doi:10.1271/bbb1961.42.439 · Cited by 49 · see citing works
Production of PHAs from agricultural waste material
Braunegg, G., Genser, K. F., Bona, R., Haage, G., Schellauf, F., & Winkler, E. (1999) · Macromolecular Symposia · doi:10.1002/masy.19991440135 · Cited by 48 · see citing works
Can, H. J. L. V., Braake, H. A. B. T., Hellinga, C., & Luyben, K. C. A. M. (1997) · Biotechnology and Bioengineering · doi:10.1002/(sici)1097-0290(19970620)54:6 · Cited by 47 · see citing works
Model for microbial growth with more than one limiting nutrient
Mankad, T., & Bungay, H. R. (1988) · Journal of Biotechnology · doi:10.1016/0168-1656(88)90062-4 · Cited by 47 · see citing works
Mathematical modelling of metabolism
Giersch, C. (2000) · Current Opinion in Plant Biology · doi:10.1016/s1369-5266(00)00072-8 · Cited by 46 · see citing works
Nonlinear productivity control using a multi-staged cell population balance model
Mantzaris, N. V., Srienc, F., & Daoutidis, P. (2002) · Chemical Engineering Science · doi:10.1016/s0009-2509(01)00356-6 · Cited by 45 · see citing works
Khanna, S., & Srivastava, A. K. (2005) · Biochemical Engineering Journal · doi:10.1016/j.bej.2005.08.006 · Cited by 44 · see citing works
Production of poly(3-hydroxybutyrate) in an airlift bioreactor by Ralstonia eutropha
Tavares, L. Z., da Silva, E. S., & Pradella, J. G. D. C. (2003) · Biochemical Engineering Journal · doi:10.1016/s1369-703x(03)00117-7 · Cited by 44 · see citing works
Lopar, M., Vrana, I., Atlić, A., Koller, M., Braunegg, G., & Horvat, P. (2013) · Biochemical Engineering Journal · doi:10.1016/j.bej.2013.07.003 · Cited by 43 · see citing works
Dhanasekar, R., Viruthagiri, T., & Sabarathinam, P. L. (2003) · Biochemical Engineering Journal · doi:10.1016/s1369-703x(02)00176-6 · Cited by 41 · see citing works
Varner, J., & Ramkrishna, D. (1999) · Biotechnology Progress · doi:10.1021/bp990018h · Cited by 41 · see citing works
Gahlawat, G., & Srivastava, A. K. (2013) · Bioresource Technology · doi:10.1016/j.biortech.2013.03.023 · Cited by 40 · see citing works
Gikas, P., & Livingston, A. G. (1997) · Biotechnology and Bioengineering · doi:10.1002/(sici)1097-0290(19970820)55:4 · Cited by 39 · see citing works
Yu, J. Z., & Wang, J. (2001) · Biotechnology and Bioengineering · doi:10.1002/bit.1080 · Cited by 39 · see citing works
Optimal control of bioreactors: a simultaneous approach for complex systems
Riascos, C. A. M., & Pinto, J. M. (2004) · Chemical Engineering Journal · doi:10.1016/j.cej.2003.09.002 · Cited by 39 · see citing works
Khanna, S., & Srivastava, A. K. (2006) · Enzyme and Microbial Technology · doi:10.1016/j.enzmictec.2006.02.023 · Cited by 37 · see citing works
Raje, P., & Srivastava, A. K. (1998) · Bioresource Technology · doi:10.1016/s0960-8524(97)00173-9 · Cited by 37 · see citing works
Approaches to increase the economy of the PHB production
Ackermann, J., & Babel, W. (1998) · Polymer Degradation and Stability · doi:10.1016/s0141-3910(97)00154-7 · Cited by 34 · see citing works
Koller, M., Horvat, P., Hesse, P. J., et al. (2006) · Bioprocess and Biosystems Engineering · doi:10.1007/s00449-006-0084-x · Cited by 33 · see citing works
Lopar, M., Vrana, I., Cepanec, N., et al. (2014) · Journal of Industrial Microbiology & Biotechnology · doi:10.1007/s10295-014-1439-y · Cited by 31 · see citing works
Chatzidoukas, C., Penloglou, G., & Kiparissides, C. A. (2012) · Biochemical Engineering Journal · doi:10.1016/j.bej.2012.11.015 · Cited by 29 · see citing works
Dispersion optimization to enhance PHB production in fed-batch cultures of Ralstonia eutropha
Patnaik, P. R. (2005) · Bioresource Technology · doi:10.1016/j.biortech.2005.09.027 · Cited by 28 · see citing works
Zafar, M., Kumar, S., Kumar, S., et al. (2012) · Journal of Industrial Microbiology & Biotechnology · doi:10.1007/s10295-012-1102-4 · Cited by 27 · see citing works
Vrana, I., Lopar, M., Koller, M., et al. (2013) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2013.08.019 · Cited by 26 · see citing works
K�nig, C., Sammler, I., Wilde, E., et al. (1969) · Archives of Microbiology · doi:10.1007/bf00413680 · Cited by 26 · see citing works
Patnaik, P. R. (2005) · Biotechnology Letters · doi:10.1007/s10529-005-1775-0 · Cited by 25 · see citing works
Pardelha, F., Albuquerque, M. G. E., Reis, M. A. M., et al. (2013) · New Biotechnology · doi:10.1016/j.nbt.2013.06.008 · Cited by 24 · see citing works
Optimal adaptive control schemes for PHB production in fed-batch fermentation of Ralstonia eutropha
Wu, W., Lai, S.-Y., Jang, M.-F., et al. (2013) · Journal of Process Control · doi:10.1016/j.jprocont.2013.07.006 · Cited by 23 · see citing works
A Monte Carlo simulation of plasmid replication during the bacterial division cycle
Kuo, H., & Keasling, J. D. (2000) · Biotechnology and Bioengineering · doi:10.1002/(sici)1097-0290(19961220)52:6 · Cited by 22 · see citing works
Mothes, G., & Ackermann, J. (2005) · Engineering in Life Sciences · doi:10.1002/elsc.200420056 · Cited by 22 · see citing works
Ao, P., LEE, L., Lidstrom, M. E., Yin, L., & Zhu, X. (2008) · Chinese journal of biotechnology/Shengwu gongcheng xuebao · doi:10.1016/s1872-2075(08)60046-1 · Cited by 22 · see citing works
Yagci, N. O., İnsel, G., Tasli, R., et al. (2005) · Biotechnology and Bioengineering · doi:10.1002/bit.20701 · Cited by 20 · see citing works
Metabolic Modeling as a Tool for Evaluating Polyhydroxyalkanoate Copolymer Production in Plants
Daae, E. B., Dunnill, P., Mitsky, T. A., Padgette, S. R., Taylor, N. B., Valentin, H. E., & Gruys, K. J. (1999) · Metabolic Engineering · doi:10.1006/mben.1999.0126 · Cited by 19 · see citing works
Du, G., Chen, J., Yu, J. Z., et al. (2001) · Process Biochemistry · doi:10.1016/s0032-9592(01)00189-3 · Cited by 19 · see citing works
Modeling P(3HB) production by Bacillus megaterium
Faccin, D. J. L., Corrêa, M. P., Rech, R., et al. (2011) · Journal of Chemical Technology & Biotechnology · doi:10.1002/jctb.2713 · Cited by 18 · see citing works
Compartment model concept used in the design of fermentation with recombinant microorganisms
NIELSEN, J. K., Emborg, C., Halberg, K., et al. (1989) · Biotechnology and Bioengineering · doi:10.1002/bit.260340407 · Cited by 18 · see citing works
Hybrid neural simulation of a fed-batch bioreactor for a nonideal recombinant fermentation
Patnaik, P. R. (2001) · Bioprocess and Biosystems Engineering · doi:10.1007/s004490100246 · Cited by 17 · see citing works
Shang, L., Fan, D. D., Kim, M. I., et al. (2007) · Biotechnology and Bioprocess Engineering · doi:10.1007/bf02931065 · Cited by 17 · see citing works
İnsel, G., Yavaşbay, A., Ozcan, O. Y., et al. (2012) · Bioprocess and Biosystems Engineering · doi:10.1007/s00449-012-0733-1 · Cited by 16 · see citing works
Genetic network driven control of PHBV copolymer composition
Iadevaia, S., & Mantzaris, N. V. (2005) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2005.08.030 · Cited by 15 · see citing works
Grosz, R., & Stephanopoulos, G. N. (1990) · Biotechnology and Bioengineering · doi:10.1002/bit.260361008 · Cited by 15 · see citing works
Microbial Metabolism as an Evolutionary Response: The Cybernetic Approach to Modeling
Patnaik, P. R. (2001) · Critical Reviews in Biotechnology · doi:10.1080/20013891081728 · Cited by 15 · see citing works
Xu, J., Guo, B., Zhang, Z.-M., et al. (2005) · Biotechnology and Bioengineering · doi:10.1002/bit.20487 · Cited by 13 · see citing works
Khanna, S., & Srivastava, A. K. (2008) · Journal of Chemical Technology & Biotechnology · doi:10.1002/jctb.1868 · Cited by 12 · see citing works
Neural Network Applications to Fermentation Processes
Patnaik, P. R. (1998) · doi:10.1002/9783527619641.ch14 · Cited by 10 · see citing works
Hybrid Modelling of a PHA Production Process Using Modular Neural Networks
Peres, J., Oliveira, R., Serafim, L. S., et al. (2004) · Computer-aided chemical engineering/Computer aided chemical engineering · doi:10.1016/s1570-7946(04)80188-3 · Cited by 10 · see citing works
Patnaik, P. R. (2008) · Food and Bioprocess Technology · doi:10.1007/s11947-008-0086-6 · Cited by 10 · see citing works
Patnaik, P. R. (2006) · Food and Bioproducts Processing · doi:10.1205/fbp.05008 · Cited by 10 · see citing works
Cybernetic structured modeling of the production of polyhydroxyalkanoates by Alcaligenes Eutrophus
Ferraz, L., Bonomi, A., Piccoli, R. A. M., et al. (1999) · Brazilian Journal of Chemical Engineering · doi:10.1590/s0104-66321999000200014 · Cited by 9 · see citing works
A bivariate population balance model for the microbial production of poly(3-hydroxybutyrate)
Roussos, A. I., & Kiparissides, C. A. (2011) · Chemical Engineering Science · doi:10.1016/j.ces.2011.07.049 · Cited by 8 · see citing works
Tajparast, M., & Frigon, D. (2012) · Water Science & Technology · doi:10.2166/wst.2012.569 · Cited by 7 · see citing works
Lee, S. B., & Bailey, J. E. (2000) · Biotechnology and Bioengineering · doi:10.1002/(sici)1097-0290(20000320)67:6 · Cited by 6 · see citing works
Plihon, F., Taillandier, P., & Strehaiano, P. (1996) · Biotechnology and Bioengineering · doi:10.1002/(sici)1097-0290(19960105)49:1 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 15
- [1]1. Doi, Y., in Steinbuchel, A. (Ed.), Biopolymers, vol. 3b: Polyesters, p. 480. Wiley-VCH, Weinheim, 2001
- [7]7. Nawrath, C., Poirier, Y., Somerville, C., Proc. Natl. Acad. Sci. 91 (1994) 12760.
- [10]10. Braunegg, G., Koller, M., Varila, P., Kutschera, C., Bona, R., Hermann, C., Horvat, P., Neto, J., Pereira, L., in P. Fornasiero, M. Graziani (Ed.), Renewable Resources and Renewable Energy, University of Trieste, Trieste, 2007, pp. 119-135.
- [16]16. Hartmann, R., Hany, R., Geiger, T., Egli, T., Witholt, B., Zinn, M., Macromolecules 37 (2004) 6780. doi: http://dx.doi.org/10.1021/ma040035+ · DOI
- [19]19. Babel, W., Ackermann, J.U., Breuer, U., in: W. Babel, A. Steinbüchel (Eds.), Advances in Biochemical Engineering/ Biotechnology (Biopolyesters), vol. 71, Springer-Verlag, Berlin Heidelberg, 2001, pp. 125-157.
- [44]44. Moser, A., Kinetics of batch fermentations. in Rehm, H.J., Reed, G. (Eds.), Biotechnology, vol. 2, Verlagsgesellschaft GmbH, Weinheim, 1985, pp 243-283.
- [57]57. [Shahhosseini, S., Process Biochem. 39 (2004) 963. doi: http://dx.doi.org/10.1016/S0032-9592(03)00209-7](http://dx.doi.org/10.1016/S0032-9592%2803%2900209-7) · DOI
- [87]87. Dias, J.M.L., Lemos, P., Serafim, L., Oehmen, A., Reis, M.A.M., Oliveira, R., in Plesu, V. and Agachi P.S. (Ed.), 17th European Symposium on Computer Aided Process Engineering, 1-6- ESCAPE17, 2005
- [104]104. Penloglou, G., Roussos, A.I., Chatzidoukas, C., Kiparissides, C. , in Kiparissides, C., Thessaloniki (Ed.), Preprints, Bioproduction 2nd Annual Meeting, -'Digital BioProduction', Greece, October 2-3, 2008, pp 229-235.
- [106]106. Penloglou, G., Chatzidoukas, C., Roussos, A., Kiparissides, C., in Pistikopoulos, E.N., Georgiadis, M.C. , and Kokossis, A.C. (Ed.) 21st European Symposium on Computer Aided Process Engineering - ESCAPE 21, Elsevier B.V., 2011.
- [135]135. Van Can, H.J.L., te Braake, H.A.B., Bijman, A., Hellinga, C., Luyben K.C.A.M., Heijnen, J.J., Biotechnol. Bioeng. 62 (1999) 666. doi: http://dx.doi.org/10.1002/(SICI)1097-0290(19990320)62:6 <666::AID-BIT6>3.0.CO;2-S · DOI
- [142]142. Pinto, M. A., Immanuel, C. D., AIChE 2005 Annual meeting, Food, Pharmaceutical & Bioengineering Division, (479c), http://www3.aiche.org/Proceedings/Abstract.aspx?ConfID= Annual-2005&GroupID=1007&SessionID=1214&PaperID=25880; Accessed 26. 07. 2014.
- [149]149. Xu, L., Jordan, M.I., Hinton, G.E., in Advances in Neural Information Processing Systems 7, MIT Press, 1995, pp 633-640.
- [155]155. Disli, I., Kremling, A., Kienle, A., Proceedings MATHMOD 09 Vienna - Full Papers CD Volume.
- [159]159. Ganjian, A., Zhang, J., Dias, J.M.L., Oliveira, R., Chem. Eng. Trans. 32 (2013) 261.
Cited by
Sorted by citations
Food Waste Biorefinery: Pathway towards Circular Bioeconomy
Tsegaye, B., Jaiswal, S., & Jaiswal, A. K. (2021) · Foods · doi:10.3390/foods10061174 · Cited by 191 · see citing works
- Authors
- Novak, M.
- Affiliations
- University of Zagreb (HR)
- Corresponding author
- Novak, M.
- Venue
- Chemical and Biochemical Engineering Quarterly
- Published
- 2015-07-12
- Volume
- 29
- Issue
- 2
- Pages
- 183-220
- ISSN
- 0352-9568 (ISSN-L)
- 1846-5153
- OpenAlex
- W1474972285
- Cited by
- 65
- References
- 126
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 2 · 2023: 6 · 2022: 6 · 2021: 9 · 2020: 3 · 2019: 5 · 2018: 6 · 2017: 11 · 2016: 4 · 2015: 1
- FWCI
- 2.66
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Chemical and Biochemical Engineering Quarterly (publishedVersion, cc-by)
- Hrčak Portal of scientific journals of Croatia (University Computing Centre) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Materials Science › Biomaterials › biodegradable polymer synthesis and properties
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biopolymer Synthesis and Applications
- Keywords
- polyhydroxyalkanoates, PHA production, mathematical modeling, kinetic model, metabolic modeling, cybernetic model, neural network model, hybrid model, computational fluid dynamics, microbial consortia, bioprocess optimization, biodegradable plastics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review