The Growth of Paracoccus sp. SKG on Acetonitrile is Best Modelled using the Buchanan Three Phase Model

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Shukor M.S


Organonitriles are carcinogenic and mutagenic. Bioremediation of acetonitrile, an organonitrile, has been touted as a more economical and feasible method compared to physical and chemical approaches. In this work, we model the growth of growth of Paracoccus sp. SKG on acetonitrile from published literature to obtain vital growth constants. These growth constants can only be accurately obtained from mathematical modelling of the growth curves using various available primary models such as logistic, Gompertz, Richards, Schnute, Baranyi-Roberts, Von Bertalanffy, Buchanan three-phase and more recently Huang models. The Buchanan three-phase model was chosen as the best model based on statistical tests such as root-mean-square error (RMSE), adjusted coefficient of determination (R2), bias factor (BF), accuracy factor (AF) andcorrected AICc (Akaike Information Criterion). Novel constants obtained from the modelling exercise would be useful for further secondary modelling implicating the effect of media conditions and other factors on the growth of this bacterium on acetonitrile.

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How to Cite
M.S, Shukor. The Growth of Paracoccus sp. SKG on Acetonitrile is Best Modelled using the Buchanan Three Phase Model. Journal of Environmental Bioremediation and Toxicology, [S.l.], v. 3, n. 1, p. 1-5, nov. 2015. ISSN 2289-5884. Available at: <>. Date accessed: 19 feb. 2018.


[1] Chapatwala KD, Nawaz MS, Richardson JD, Wolfram JH.
Isolation and characterization of acetonitrile utilizing bacteria. J
Ind Microbiol. 1990;5(2-3):65–70.
[2] Li C, Li Y, Cheng X, Feng L, Xi C, Zhang Y. Immobilization of
Rhodococcus rhodochrous BX2 (an acetonitrile-degrading
bacterium) with biofilm-forming bacteria for wastewater
treatment. Bioresour Technol. 2013;131:390–6.
[3] Santoshkumar M, Veeranagouda Y, Lee K, Karegoudar TB.
Utilization of aliphatic nitrile by Paracoccus sp. SKG isolated
from chemical waste samples. Int Biodeterior Biodegrad.
[4] Zwietering MH, Jongenburger I, Rombouts FM, Van’t Riet K.
Modeling of the bacterial growth curve. Appl Environ Microbiol.
[5] Baranyi J, Roberts TA. A dynamic approach to predicting
bacterial growth in food. Int J Food Microbiol. 1994;23(3-
Cloern JE, Nichols FH. A von Bertalanffy Growth Model with a
Seasonally Varying Coefficient. J Fish Res Board Can.
[6] Darmani Kuhi H, Kebreab E, Lopez S, France J. A derivation
and evaluation of the von Bertalanffy equation for describing
growth in broilers over time. J Anim Feed Sci. 2002;11(1):109–
[7] Buchanan RL, Whiting RC, Damert WC. When is simple good
enough: A comparison of the Gompertz, Baranyi, and threephase
linear models for fitting bacterial growth curves. Food
Microbiol. 1997;14(4):313–26.
[8] Huang L. Growth kinetics of Escherichia coli O157:H7 in
mechanically-tenderized beef. Int J Food Microbiol.
[9] Rohatgi,.A..WebPlotDigitizer. Accessed June 2
[10] Halmi MIE, Shukor MS, Johari WLW, Shukor MY. Evaluation
of several mathematical models for fitting the growth of the algae
Dunaliella tertiolecta. Asian J Plant Biol. 2014;2(1):1–6.
[11] Motulsky HJ, Ransnas LA. Fitting curves to data using nonlinear
regression: a practical and nonmathematical review. FASEB J
Off Publ Fed Am Soc Exp Biol. 1987;1(5):365–74.
[12] Akaike H. Statistical information processing system for
prediction and control. AAPG Bull Am Assoc Pet Geol.
[13] Ross T. Indices for performance evaluation of predictive models
in food microbiology. J Appl Bacteriol. 1996;81(5):501–8.
[14] 15. Abou-Zeid KA, Yoon KS, Oscar TP, Schwarz JG, Hashem
FM, Whiting RC. Survival and growth of Listeria monocytogenes
in broth as a function of temperature, pH, and potassium lactate
and sodium diacetate concentrations. J Food Prot.
[15] Baranyi J. Comparison of stochastic and deterministic concepts
of bacterial lag. J Theor Biol. 1998;192(3):403–8.
[16] Caleb OJ, Mahajan PV, Al-Said FA-J, Opara UL. Modified
atmosphere packaging technology of fresh and fresh-cut produce
and the microbial consequences-A Review. Food Bioprocess
Technol. 2013;6(2):303–29.
[17] Singh Y, Srivastava SK. Performance improvement of Bacillus
aryabhattai ITBHU02 for high-throughput production of a
tumor-inhibitory L-asparaginase using a kinetic model based
approach. J Chem Technol Biotechnol. 2014;89(1):117–27.
[18] Collins S. Competition limits adaptation and productivity in a
photosynthetic alga at elevated CO2. Proc R Soc B Biol Sci.
[19] Nieminen JK. Enchytraeid population dynamics: Resource
limitation and size-dependent mortality. Ecol Model.
[20] Li H, Xie G, Edmondson A. Evolution and limitations of primary
mathematical models in predictive microbiology. Br Food J.