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Prediction of growth of Bacillus megaterium spores as affected by gamma radiation dose and spore load
Author(s) -
Salih F.M.
Publication year - 2001
Publication title -
journal of applied microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.889
H-Index - 156
eISSN - 1365-2672
pISSN - 1364-5072
DOI - 10.1046/j.1365-2672.2001.01375.x
Subject(s) - spore , bacillus megaterium , contamination , sterilization (economics) , vial , radiation , irradiation , bacterial spore , food science , endospore , chemistry , biology , radiochemistry , microbiology and biotechnology , chromatography , bacteria , physics , ecology , genetics , quantum mechanics , monetary economics , nuclear physics , economics , foreign exchange market , foreign exchange
Aims: To provide data on the interaction of radiation dose ( x 1 ) and microbial contamination load ( x 2 ), as predictor variables, on the percentage of vials exhibiting growth of Bacillus megaterium spores ( y ). Methods and Results: The influence of a wide range of spore loads (1–50 000 spores of B. megaterium  vial −1 ) and gamma radiation doses (0·2–10 kGy) on the contaminated samples was determined. Each contamination load was studied by adding the specified number of spores to 100 vials containing nutrient broth and exposing them to various doses of gamma radiation. Curves representing the number of contaminated vials against the dose of radiation were sigmoidal in shape and the data showed an indirect relationship. Data were analysed by regression analysis which revealed a significant correlation ( R 2 =0·85). The relationship among the tested variables is exponential and can be described by the following equation: It was also estimated that, for each increase of 1 in the number of spores per vial, there is an increase of 1 in the number of contaminated vials. Conclusions: The two variables ( x 1 and x 2 ) have great influence on the radiation sterilization efficiency and the proposed mathematical model is valid for the prediction of this efficiency. Significance and Impact of the Study: The results of the present investigation can be of useful industrial application and can help to set acceptance and rejection limits for the production of materials vulnerable to microbial contamination.

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