The effects of heavy metals and temperature on microbial growth and lag

2009-11-01
Gikas, P.
Şengör, Sema Sevinç
Ginn, T.
Moberly, J.
Peyton, B.
A mathematical model to simulate microbial growth and lag time is proposed in the present work in accordance with Sengor et al. (2009). The model is verified experimentally for a mixed microbial culture growing at metal free and at Cr(III) or Cr(VI) contaminated environments. The model is further verified using a monoculture of Pseudomonas sp. growing at metal free and Zn(II) contaminated environment. The effect of temperature on microbial growth and lag is also simulated by the model. The simulation results show for the mixed culture that growth rate decrease with parallel increase in lag time, with the rise of either Cr(III) or Cr(VI) concentration. For Pseudomonas sp., the simulation indicated that there is almost nil lag time for growth at 35°C, while approximately 10 h lag time is calculated for growth at ambient temperature (20°C). The lag time increases by approximately 6 more hours when 0.01 mM Zn(II) is added in the growth medium (at ambient temperature). The increase of lag time with temperature reduction is explained by the fact that the biochemical reactions are slowed down at lower temperatures. A good correlation between model predictions and simulation results is observed. © 2009 Global NEST.
Global Nest Journal

Suggestions

The Impact of Torso Signal Processing on Noninvasive Electrocardiographic Imaging Reconstructions
Bear, Laura R.; Serinağaoğlu Doğrusöz, Yeşim; Good, Wilson; Svehlikova, Jana; Coll-Font, Jaume; van Dam, Eelco; MacLeod, Rob (2021-02-01)
Goal: To evaluate state-of-the-art signal processing methods for epicardial potential-based noninvasive electrocardiographic imaging reconstructions of single-site pacing data. Methods: Experimental data were obtained from two torso-tank setups in which Langendorff-perfused hearts (n = 4) were suspended and potentials recorded simultaneously from torso and epicardial surfaces. 49 different signal processing methods were applied to torso potentials, grouped as i) high-frequency noise removal (HFR) methods ii...
The effect of substitutional impurities on the evolution of FeAl diffusion layer
Akdeniz, Mahmut Vedat; Mehrabov, Amdulla (Elsevier BV, 1998-2-13)
The formation and growth characteristics of Fe based aluminide diffusion layers at the Fe-Al interface have been analysed in terms of interfacial interaction potentials based on the statistico-thermodynamical theory of multicomponent alloys combined with electronic theory in the pseudopotential approximation. The pairwise interatomic interaction potentials and partial ordering energies have been calculated to predict the effect of various alloying additions on the activity coefficient of Al atoms in α-Fe0.9...
The added utility of nonlinear methods compared to linear methods in rescaling soil moisture products
Afshar, Mahdı Hesamı ; Yılmaz, Mustafa Tuğrul (2017-07-01)
In this study, the added utility of nonlinear rescaling methods relative to linear methods in the framework of creating a homogenous soil moisture time series has been explored. The performances of 31 linear and nonlinear rescaling methods are evaluated by rescaling the Land Parameter Retrieval Model (LPRM) soil moisture datasets to station-basedwatershed average datasets obtained over four United States Department of Agriculture (USDA) Agricultural Research Service (ARS) watersheds. The linear methods incl...
Effects of anisotropic surface drift diffusion on the strained heteroepitaxial nanoislands subjected to electromigration stressing
Oğurtanı, Tarık; Celik, Aytac; ÖREN, ERSİN EMRE (2022-02-01)
A systematic study based on self-consistent dynamical simulations is presented for the morphological evolutionary behavior of an isolated thin Ge/Si nanoisland (quantum dot) on a rigid substrate exposed to electromigration forces. This morphological evolution is basically induced by the anisotropic surface drift diffusion, driven by the capillary forces, the lattice mismatch stresses, and the wetting potential. In this study, we have mainly focused on the size and shape development kinetics of quantum dots,...
The role of synchronization of neural structures on neuron dynamics Nöral yapilarda senkronizasyonun hücre dinamikleri üzerine etkisi
Karabacak, Ozkan; Elibol, Rahmi; Şengör, Neslihan Serap (2014-01-01)
Due to the measurement techniques developed, it is now possible to observe signals at different levels in neural structures. These observations give rise to increasing works dealing with setting up the relation between such signals and cognitive processes, neurodegenerative diseases and neurobehavioral disorders. Computational neuroscience is becoming more influential in investigating the mechanisms underlining these signals. Especially oscillations in different neural structures and the role of these oscil...
Citation Formats
P. Gikas, S. S. Şengör, T. Ginn, J. Moberly, and B. Peyton, “The effects of heavy metals and temperature on microbial growth and lag,” Global Nest Journal, vol. 11, no. 3, pp. 325–332, 2009, Accessed: 00, 2021. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77957997568&origin=inward.