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甲型肝炎病毒高压处理灭活模型的建立。

Development of a high pressure processing inactivation model for hepatitis A virus.

作者信息

Grove Stephen F, Lee Alvin, Stewart Cynthia M, Ross Thomas

机构信息

Food Safety Centre, Tasmanian Institute of Agricultural Research, School of Agricultural Science, University of Tasmania, Private Bag 54, Hobart, Tasmania 7001, Australia.

出版信息

J Food Prot. 2009 Jul;72(7):1434-42. doi: 10.4315/0362-028x-72.7.1434.

DOI:10.4315/0362-028x-72.7.1434
PMID:19681266
Abstract

High pressure processing (HPP) inactivation data were obtained for hepatitis A virus (HAV) suspended in buffered growth medium containing salt at either 15 or 30 g/liter. Pressures between 300 and 500 MPa were applied for treatment times of 60 to 600 s. In medium containing 15 g/liter salt, the HAV titer was reduced by approximately 1 and 2 log 50% tissue culture infectious dose units (TCID50) per ml after 600 s of treatment with 300 and 400 MPa, respectively. Under the same treatment conditions but in medium containing 30 g/liter salt, HAV was reduced by <0.50 log TCID50/ml. HAV was inactivated by >3 log TCID50/ml after treatment with 500 MPa for 300 and 360 s in medium containing 15 and 30 g/liter salt, respectively. Weibull and log-linear models were fitted to inactivation data. Individual Weibull curves generally provided a good fit at each pressure and salinity, but the curve shapes were qualitatively inconsistent between treatments, making interpolation between pressures difficult and unreliable. High variability was observed in the inactivation data, but the log-linear model described the entire data set and interpolated between specific treatment conditions. Therefore, this model was evaluated by using high pressure to treat HAV artificially inoculated into Pacific oyster (Crassostrea gigas) homogenate adjusted to 15 or 30 g/liter salinity. The log-linear model generally provided fail-safe predictions at pressures > or = 375 MPa and may aid shellfish processors wishing to incorporate HPP into an oyster processing regime. Additional inactivation data with greater reproducibility should be collected to enable expansion of the model and to increase the accuracy of its predictions.

摘要

获得了甲型肝炎病毒(HAV)悬浮于含盐量为15克/升或30克/升的缓冲生长培养基中的高压处理(HPP)灭活数据。施加300至500兆帕的压力,处理时间为60至600秒。在含盐量为15克/升的培养基中,分别用300兆帕和400兆帕处理600秒后,甲型肝炎病毒滴度每毫升分别降低约1和2个对数50%组织培养感染剂量单位(TCID50)。在相同处理条件下,但在含盐量为30克/升的培养基中,甲型肝炎病毒降低了<0.50个对数TCID50/毫升。在含盐量为15克/升和30克/升的培养基中,分别用500兆帕处理300秒和360秒后,甲型肝炎病毒的灭活程度均超过3个对数TCID50/毫升。将威布尔模型和对数线性模型拟合到灭活数据。各个威布尔曲线通常在每个压力和盐度下都拟合得很好,但不同处理之间曲线形状在质量上不一致,使得压力之间的插值困难且不可靠。在灭活数据中观察到高度变异性,但对数线性模型描述了整个数据集并在特定处理条件之间进行插值。因此,通过使用高压处理人工接种到盐度调整为15克/升或30克/升的太平洋牡蛎(Crassostrea gigas)匀浆中的甲型肝炎病毒来评估该模型。对数线性模型通常在压力≥375兆帕时提供故障安全预测,并且可能有助于希望将高压处理纳入牡蛎加工流程的贝类加工商。应收集具有更高重现性的额外灭活数据,以扩展该模型并提高其预测的准确性。

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