Dynamic energy budget approach to modeling mechanisms of CdSe quantum dot toxicity

Ecotoxicology

Volumn 22, Issue 2, 2013, Pages 319-330

  Klanjscek, Tin ^a,b   Nisbet, Roger M ^a   Priester, John H ^a   Holden, Patricia A ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b RUDER BO KOVI INSTITUTE   (Croatia)

Author keywords

Cadmium nano particle toxicity; Dynamic energy budget (DEB); Mechanistic model; Pseudomonas aeruginosa bacteria; Reactive oxygen species (ROS); Toxicity mechanisms

Indexed keywords

CADMIUM; CADMIUM SELENIDE QUANTUM DOT; QUANTUM DOT; REACTIVE OXYGEN METABOLITE; UNCLASSIFIED DRUG;

BACTERIUM; CADMIUM; ENERGY BUDGET; METABOLISM; MODELING; NANOTECHNOLOGY; POLLUTION EFFECT; POLLUTION EXPOSURE; SELENIUM; TOXICITY;

ACCLIMATIZATION; ARTICLE; BACTERIAL GROWTH; CELL GROWTH; CELL REGENERATION; CONTROLLED STUDY; DYNAMIC ENERGY BUDGET THEORY; ENERGY; EXPOSURE; GROWTH INHIBITION; METABOLISM; MODEL; NONHUMAN; PRIORITY JOURNAL; PSEUDOMONAS AERUGINOSA; THEORY;

CADMIUM COMPOUNDS; DOSE-RESPONSE RELATIONSHIP, DRUG; ENERGY METABOLISM; KINETICS; MICROBIAL VIABILITY; MODELS, BIOLOGICAL; OXIDATIVE STRESS; PSEUDOMONAS AERUGINOSA; QUANTUM DOTS; REACTIVE OXYGEN SPECIES; SELENIUM COMPOUNDS; SOLUBILITY; TOXICITY TESTS;

BACTERIA (MICROORGANISMS); PSEUDOMONAS AERUGINOSA;

EID: 84878370505     PISSN: 09639292     EISSN: 15733017     Source Type: Journal    
DOI: 10.1007/s10646-012-1028-7     Document Type: Article

References (22)

1. Baranyi J, Roberts TA (1994) A dynamic approach to predicting bacterial growth in food. International Journal of Food Microbiology 23:277-294
2. Begot C, Desnier I, Daudin JD, Labadie JC, Lebert A (1996) Methods for calculating growth parameters by optical density measurements. Journal of Microbiological Methods 25:225-232
3. Chen Jinfeng, Yuan Jiangang, Wu Shanshan, Lin Biyun, Yang Zhongyi (2012) Distribution of trace element contamination in sediments and riverine agricultural soils of the zhongxin river, south china, and evaluation of local plants for biomonitoring. Journal of Environmental Monitoring 14:2663-2672
4. Ferianc P, Farwell A, Nystrom T (1998) The cadmium stress stimulon of Escherichia coli k-12. Microbiology, 144(4):1045-1050
5. Gibbons Sean M, Feris Kevin, McGuirl Michele A, Morales Sergio E, Hynninen Anu, Ramsey Philip W, Gannon James E (2011) Use of microcalorimetry to determine the costs and benefits to Pseudomonas putida strain kt2440 of harboring cadmium efflux genes. Applied and Environmental Microbiology 77:108-113
6. Hanegraaf PPF, Muller EB (2001) The dynamics of the macromolecular composition of biomass. Journal of Theoretical Biology 212:237-251
7. Hills BP, Mackey BM (1995) Multi-compartment kinetic models for injury, resuscitation, induced lag and growth in bacterial cell populations. Food Microbiology 12:333-346
8. Jager T, Heugens EHW, Kooijman SALM (2006) Making sense of ecotoxicological test results: Towards application of process-based models. Ecotoxicology 15(3):305-314
9. Jager T, Klok C (2010) Extrapolating toxic effects on individuals to the population level; the role of dynamic energy budgets. Philosophical Transactions of the Royal Society B 365. doi: 10.1098/rstb.2010.0137
10. Jager Tjalling, Zimmer Elke I (2012) Simplified dynamic energy budget model for analysing ecotoxicity data. Ecological Modelling 225:74-81
11. Keller Arturo A, Wang Hongtao, Zhou Dongxu, Lenihan Hunter S, Cherr Gary, Cardinale Bradley J, Miller Robert, Ji Zhaoxia (2010) Stability and aggregation of metal oxide nanoparticles in natural aqueous matrices. Environmental Science & Technology 44(6):1962-1967
12. Klanjscek T, Nisbet RM, Priester J, Holden PA (2012) Modeling physiological processes that relate toxicant exposure and bacterial population dynamics. PLoS ONE 7(2). doi: 10.1371/journal.pone.0026955
13. Kooijman SALM (2010) Dynamic Energy Budget theory for metabolic organisation, 3rd ed. Cambridge University Press, Cambridge. ISBN 9780521131919
14. Kooijman SALM, Bedaux JJM (1996) The analysis of aquatic toxicity data. VU University Press, Amsterdam
15. Muller Erik B, Nisbet Roger M, Berkley Heather A (2009) Sublethal toxicant effects with dynamic energy budget theory: model formulation. Ecotoxicology 19(1):38-47. doi: 10.1007/s10646-009-0385-3
16. Munoz-Cuevas M, Fernandez PS, George S, Pin C (2010) Modeling the lag period and exponential growth of listeria monocytogenes under conditions of fluctuating temperature and water activity values. Applied and Environmental Microbiology 76(9):2908-2915
17. Nisbet RM, Muller EB, Lika K, Kooijman SALM (2000) From molecules to ecosystems through dynamic energy budget models. Journal of Animal Ecology 69(6):913-926
18. Pages D, Sanchez L, Conrod S, Gidrol X, Fekete A, Schmitt-Kopplin P, Heulin T, Achouak W (2007) Exploration of intraclonal adaptation mechanisms of Pseudomonas brassicacearum facing cadmium toxicity. Environmental Microbiology 9(11):2820-2835
19. Priester JH, Stoimenov PK, Mielke RE, Webb SM, Ehrhardt C, Zhang JP, Stucky GD, Holden PA (2009) Effects of soluble cadmium salts versus cdse quantum dots on the growth of planktonic Pseudomonas aeruginosa. Environmental Science & Technology 43(7):2589-2594
20. Sousa T, Domingos T, Kooijman SALM (2008) From empirical patterns to theory: a formal metabolic theory of life. Philosophical Transactions of the Royal Society B 363(1502):2453-2464
21. von der Kammer Frank, Ferguson P Lee, Holden Patricia A, Masion Armand, Rogers Kim R, Klaine Stephen J, Koelmans Albert A, Horne Nina, Unrine Jason M (2012) Analysis of engineered nanomaterials in complex matrices (environment and biota): General considerations and conceptual case studies. Environmental Toxicology and Chemistry 31(1):32-49
22. Wang A, Crowley DE (2005) Global gene expression responses to cadmium toxicity in Escherichia coli. Journal of Bacteriology 187(9):3259-3266