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微波殺滅霉變玉米中寄生曲霉動力學(xué)模型
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“十二五”國家科技支撐計劃資助項目(2011BAD26B04)


Inactivation Kinetics Model of Aspergillus parasiticusin Mouldy Maize by Microwave Processing
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    摘要:

    為描述微波對霉菌的殺菌過程和預(yù)測殺菌效果,,建立了微波對霉變玉米中寄生曲霉孢子的殺菌動力學(xué)模型,。在50~75℃的微波加熱條件下獲得了寄生曲霉孢子的致死曲線,。選取線性模型、Weibull模型和Weibull簡化模型來擬合微波殺菌的動力學(xué)過程,,以決定系數(shù),、均方誤差、精確因子和偏差因子作為模型擬合度優(yōu)劣的評判指標,。結(jié)果表明,,Weibull模型較線性模型能更好地擬合微波處理下寄生曲霉孢子失活動力學(xué)變化;Weibull模型簡化后與原模型具有相似的擬合性,,可有效預(yù)測特定溫度-時間組合下的微波滅菌效果,;通過Weibull模型預(yù)測微波殺菌時間可避免線性模型導(dǎo)致的殺菌不徹底或者過度殺菌的現(xiàn)象。

    Abstract:

    The inactivation models of Aspergillus parasiticus in mouldy maize by microwave processing were studied in order to describe and predict the inactive effects. Aspergillus parasiticus spores were inactivated under 50~75℃ by microwave processing, then the survival curves were determined. Linear, Weibull and reduced Weibull models were selected to fit the inactivation kinetics of Aspergillus parasiticus spores. Accuracy factor, Bias factor, mean square error and regression coefficients were used to compare the goodnessoffit of the linear, Weibull and reduced Weibull models. The results suggested that Weibull model could provide better fit to the inactivation of Aspergillus parasiticus spores by microwave processing than linear model. The reduced Weibull model produced a fit as good as the original Weibull model and lead to an improvement of the robustness of the model, which would be beneficial to select optimum combinations of temperature and time to obtain the desired target levels of spores inactivation. Incomplete or excessive sterilization could be avoided when Weibull model was used to predict microwave sterilization time instead of linear model.

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靳志強,王順喜,韓培.微波殺滅霉變玉米中寄生曲霉動力學(xué)模型[J].農(nóng)業(yè)機械學(xué)報,2011,42(12):148-153,170. Jin Zhiqiang, Wang Shunxi,Han Pei. Inactivation Kinetics Model of Aspergillus parasiticusin Mouldy Maize by Microwave Processing[J]. Transactions of the Chinese Society for Agricultural Machinery,2011,42(12):148-153,170.

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  • 在線發(fā)布日期: 2011-12-19
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