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Application of adenylate energy charge to problems of environmental impact assessment in aquatic organisms
Ivanovici, A.M. (1980). Application of adenylate energy charge to problems of environmental impact assessment in aquatic organisms, in: Kinne, O. et al. (Ed.) Protection of life in the sea: 14th European Marine Biology Symposium, 23-29 September 1979, Helgoland. Helgoländer Meeresuntersuchungen, 33(1-4): pp. 556-565
In: Kinne, O.; Bulnheim, H.-P. (Ed.) (1980). Protection of life in the sea: 14th European Marine Biology Symposium, 23-29 September 1979, Helgoland. Helgoländer Meeresuntersuchungen, 33(1-4). Biologische Anstalt Helgoland: Hamburg. 772 pp.
In: Helgoländer Meeresuntersuchungen. Biologische Anstalt Helgoland: Hamburg. ISSN 0174-3597
Peer reviewed article  

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Documenttype: Congresbijdrage

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  • Ivanovici, A.M.

Abstract
    Various physiological and biochemical methods have been proposed for assessing the effects of environmental perturbation on aquatic organisms. The success of these methods as diagnostic tools has, however, been limited. This paper proposes that adenylate energy charge overcomes some of these limitations. The adenylate energy charge (AEC) is calculated from concentrations of adenine nucleotides ([ATP+1/2ADP]/[ATP+ADP+AMP]), and is a reflection of metabolic potential available to an organism. Several features of this method are: correlation of specific values with physiological condition or growth state, a defined range of values, fast response times and high precision. Several examples from laboratory and field experiments are given to demonstrate these features. The test organisms used (mollusc species) were exposed to a variety of environmental perturbations, including salinity reduction, hydrocarbons and low doses of heavy metal. The studies performed indicate that the energy charge may be a useful measure in the assessment of environmental impact. Its use is restricted, however, as several limitations exist which need to be fully evaluated. Further work relating values to population characteristics of multicellular organisms needs to be completed before the method can become a predictive tool for management.

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