Applicability of the Arrhenius model for Ammonia Oxidizing Bacteria subjected to temperature time gradients
Alberto MANNUCCI, Giulio MUNZ, Gualtiero MORI, Claudio LUBELLO, Jan A. OLESZKIEWICZ
Applicability of the Arrhenius model for Ammonia Oxidizing Bacteria subjected to temperature time gradients
The aim of this work is to identify the range of applicability of Arrhenius type temperature dependence for Ammonia Oxidizing Bacteria (AOB) subjected to temperature time gradients through continuous titrimetric tests. An innovative online differential titrimetric technique was used to continuously monitor the maximum biologic ammonia oxidation rate of the biomass selected in a pilot scale membrane bioreactor, as a function of temperature time gradients. The monitoring technique is based on the measurement of alkalinity and hydrogen peroxide consumption rates in two parallel reactors operated in non-limiting substrate conditions for AOB; both reactors were continuously fed with mixed liquor and in one of them AOB were inhibited with allylthiourea. The effects of temperature decrease rates in the range 1 to 4°C·h−1 were evaluated by controlling the titrimetric reactor in the temperature range 10°C–20°C. The dependence of growth kinetics on temperature time gradients and the range of applicability of Arrhenius model for temperature dependency of AOB growth kinetics were assessed. The Arrhenius model was found to be accurate only with temperature gradients lower than 2°C·h−1. The estimated Arrhenius coefficients (θ) were shown to increase from 1.07 to 1.6 when the temperature decrease rate reached 4°C·h−1.
nitrification rate / temperature effect / continuous titrimetric tests / time-gradient temperature variations / Ammonia Oxidizing Bacteria (AOB)
[1] |
Vladimirov N, Løvdok L, Lebiedz D, Sourjik V. Dependence of bacterial chemotaxis on gradient shape and adaptation rate. PLos Computational Biology, 2008, 4(12): e1000242
CrossRef
Pubmed
Google scholar
|
[2] |
Berg H C. Random Walks in Biology. Princeton, USA: Princeton University Press, 1991
|
[3] |
Salman H, Libchaber A. A concentration-dependent switch in the bacterial response to temperature. Nature Cell Biology, 2007, 9(9): 1098–1100
CrossRef
Pubmed
Google scholar
|
[4] |
Salman H, Zilman A, Loverdo C, Jeffroy M, Libchaber A. Solitary modes of bacterial culture in a temperature gradient. Physical Review Letters, 2006, 97(11): 118101
CrossRef
Pubmed
Google scholar
|
[5] |
Paster E, Ryu W S. The thermal impulse response of Escherichia coli. Proceedings of the National Academy of Sciences of the United States of America, 2008, 115(14): 5373–5377 doi: 10.1073/pnas.0709903105
|
[6] |
Beales N. Adaptation of microorganisms to cold temperatures, week acid preservatives, low pH and osmotic stress, a review. Comprehensive Review Food Science Safety, 2004, 3(1): 1–20
CrossRef
Google scholar
|
[7] |
Lee S, Cho K, Lim J, Kim W, Hwang S. Acclimation and activity of ammonia-oxidizing bacteria with respect to variations in zinc concentration, temperature, and microbial population. Bioresource Technology, 2011, 102(5): 4196–4203
CrossRef
Pubmed
Google scholar
|
[8] |
Hébraud M, Potier P. Cold shock response and low temperature adaptation in psychrotrophic bacteria. Journal of Molecular Microbiology and Biotechnology, 1999, 1(2): 211–219
Pubmed
|
[9] |
Hwang J H, Oleszkiewicz J A. Effect of cold-temperature shock on nitrification. Water Environment Research, 2007, 79(9): 964–968
CrossRef
Pubmed
Google scholar
|
[10] |
Plaza E, Trela J, Hultman B. Impact of seeding with nitrifying bacteria on nitrification process efficiency. Water Science and Technology, 2001, 43(1): 155–163
Pubmed
|
[11] |
Head M A, Oleszkiewicz J A. Bioaugmentation for nitrification at cold temperatures. Water Research, 2004, 38(3): 523–530
CrossRef
Pubmed
Google scholar
|
[12] |
Salem S, Berends D H, Heijnen J J, Van Loosdrecht M C. Bio-augmentation by nitrification with return sludge. Water Research, 2003, 37(8): 1794–1804
CrossRef
Pubmed
Google scholar
|
[13] |
Zhu S, Chen S. The impact of temperature on nitrification rate in fixed film biofilters. Aquacultural Engineering, 2002, 26(4): 221–237
CrossRef
Google scholar
|
[14] |
Knowles G, Downing A L, Barrett M J. Determination of kinetic constants for nitrifying bacteria in mixed cultures, with the aid of an electronic computer. Journal of General Microbiology, 1965, 38(2): 263–278
CrossRef
Pubmed
Google scholar
|
[15] |
Painter H A, Loveless J E. Effect of temperature and pH value on the growth-rate constant of nitrifying bacteria in the activated-sludge process. Water Research, 1983, 17(3): 237–248
CrossRef
Google scholar
|
[16] |
Sözen S, Orhon D, San H A. A new approach for the evaluation of the maximum specific growth rate in nitrification. Water Research, 1996, 30(7): 1661–1669
CrossRef
Google scholar
|
[17] |
Henze M, Gujer W, Mino T, van Loosdrecht M C M. Activated Sludge ModelsASM1, ASM2, ASM2d and ASM3. Scientific and Technical Report No.9. London: IWA Publishing, 2000
|
[18] |
Görgün E, Insel G, Artan N, Orhon D. Model evaluation of temperature dependency for carbon and nitrogen removal in a full-scale activated sludge plant treating leather-tanning wastewater. Journal of Environmental Science and Health. Part A, Toxic/Hazardous Substances & Environmental Engineering, 2007, 42(6): 747–756
CrossRef
Pubmed
Google scholar
|
[19] |
Salvetti R, Azzellino A, Canziani R, Bonomo L. Effects of temperature on tertiary nitrification in moving-bed biofilm reactors. Water Research, 2006, 40(15): 2981–2993
CrossRef
Pubmed
Google scholar
|
[20] |
Munz G, Szoke N, Oleszkiewicz J A. Effect of ammonia oxidizing bacteria (AOB) kinetics on bioaugmentation. Bioresource Technology, 2012, 125(12): 88–96
CrossRef
Pubmed
Google scholar
|
[21] |
Oleszkiewicz J A, Berquist S A. Low temperature nitrogen removal in sequencing batch reactors. Water Research, 1988, 22(9): 1163–1171
CrossRef
Google scholar
|
[22] |
Ficara E, Rocco A, Rozzi A. Determination of nitrification kinetics by the ANITA-DO stat biosensor. Water Science and Technology, 2000, 41(12): 121–128
|
[23] |
Mannucci A, Munz G, Mori G, Lubello C. On-line continuous titrimetry for biological nitrification process control. In: Proceedings of Asset Management for Enhancing Energy Efficiency in Water and Wastewater System, Marbella 2013. London UK, IWA Publishing, 2013, 271–280
|
[24] |
Guo J, Peng Y, Huang H, Wang S, Ge S, Zhang J, Wang Z. Short- and long-term effects of temperature on partial nitrification in a sequencing batch reactor treating domestic wastewater. Journal of Hazardous Materials, 2010, 179(1–3): 471–479
CrossRef
Pubmed
Google scholar
|
/
〈 | 〉 |