蛋黄液中沙门氏菌温度预测模型的建立

为探究温度对沙门氏菌在蛋液中生长规律的影响,测定了在4、10、15、20、25、30、37和42℃等不同温度下沙门氏菌的生长曲线,利用Origin 8.0软件中非线性最小二乘法的原理进行修正Gompertz方程、修正Logistic方程的拟合以及DMFit软件进行Baranyi模型的拟合,研究结果表明修正Gompertz模型、修正Logistic模型和Baranyi模型均能得到较高的决定系数(0.99),选取决定系数相对较高的修正Logistic模型进行一级模型的建立。通过参数估计后利用Ratkowsky模型对最大比生长速率以及迟滞期进行二级模型的拟合,通过Baranyi模型得到的生长参数建立的二级模型拟合度高于其他模型,最大比生长速率以及迟滞期二级模型决定系数分别为0.978和0.866。经检验,研究建立的模型可用于10~42℃温度范围内蛋黄液中沙门氏菌的生长预测。     

冷却猪肉中气单胞菌生长预测模型的建立和检验

为探讨冷却猪肉中气单胞菌的生长规律,将气单胞茵接种到经过80℃无菌水灭菌的冷却猪肉中,构建Gompertz和Baranyi初级模型来描述气单胞菌在不同温度下的生长状况。结果表明：修正的Gompertz模型对气单胞菌生长曲线的拟合效果优于Baranyi模型,R2均在0．97以上。应用平方根模型和Arrhenius模型对由修正的Gompertz模型得出的最大比生长速率进行拟合,所得平方根模型拟合效果略优于Arrhenius模型。实验所建二级模型能预测0-35℃贮藏条件下气单胞菌的生长。     

高压脉冲电场对鲜切苹果中大肠杆菌杀菌效果的影响

为了研究高压脉冲电场对鲜切苹果中大肠杆菌的杀菌效果。分别对接种大肠杆菌的鲜切苹果使用不同电场强度(5 k V/cm,17.5 k V/cm,30 k V/cm,37.5 k V/cm,45 k V/cm)和处理时间(1 min,3 min,5 min,10 min,15 min,20 min,25 min)进行处理。并使用修正Gompertz模型拟合在25℃条件下生长曲线,HülshegerⅠ和Ⅱ模型建立大肠杆菌与电场强度和处理时间的致死动力学模型。结果发现,修正Gompertz模型、HülshegerⅠ和Ⅱ模型拟合函数的决定系数均大于0.990 1,均方根误差均小于0.223 5,且具有统计学意义(p0.01);结果表明,所建立的模型拟合度良好,能够较好地反映PEF处理后大肠杆菌在鲜切苹果表面的生长;且随着高压脉冲电场的电场强度和处理时间的增加,大肠杆菌的残存率越低。本试验建立的模型能够作为高压脉冲电场不同条件处理对鲜切苹果中大肠杆菌杀菌效果的参考依据。     

熟鸡肉中金黄色葡萄球菌生长预测模型的建立

【目的】研究不同浓度和不同温度条件下金黄色葡萄球菌接种在熟鸡肉中的生长情况,比较3种常见预测模型拟合的准确性,选择最适合的预测模型建立一级和二级模型,为进一步探讨建立三级模型提供数据基础。【方法】测定浓度为102、103和104 CFU/g的金黄色葡萄球菌接种在15-36°C熟鸡肉中的生长数据,使用Matlab软件分别建立修正的Gompertz、Logistic和Baranyi模型,通过比较残差和拟合度(RSS、AIC、RSE)选择最优模型,并且拟合出生长参数(迟滞期、最大比生长速率和最大细胞密度),在此基础上通过响应面方程建立二级模型。最后对模型的可靠性进行了内部和外部实验验证。【结果】36°C和29°C条件下,修正的Gompertz模型最适合;22°C和15°C条件下,最适合模型按接种浓度依次为修正的Gompertz、Logistic和Baranyi模型,综合考虑,最优模型选择修正的Gompertz模型。通过计算预测标准差(%SEP)、平方根误差(RMSE)、准确性因子(Af)和偏差因子(Bf)对建立的二级模型进行数学检验,检验结果均在可接受范围内。【结论】用修正的Gompertz方程和响应面方程建立的一、二级预测模型可以为建立三级模型提供有效、精确的基础。     

卤鸡腿中大肠杆菌生长模型的研究

为探讨食源性大肠杆菌的生长特性,建立即食食品卤鸡腿中大肠杆菌生长模型,在20℃、25℃、30℃、35℃和40℃等不同温度下测定了大肠杆菌的生长状态。采用修正的Gompertz 方程拟合大肠杆菌的生长曲线,分析了大肠杆菌的生长参数。结果表明,修正的Gompertz函数能够很好地描述大肠杆菌在20 ℃、25 ℃、30 ℃、35 ℃和40℃贮藏条件下的生长动态（R2＞0.933 6)。应用平方根模型描述了温度对最大比生长速率(μm）和延滞时间(λ)参数的影响,结果表明,温度与最大比生长速率呈现较好的线性关系。此外,应用20 ℃、25℃、30 ℃、35 ℃和40℃条件下实际测得的数值与预测模型数据进行比较,验证了恒定温度下模型的有效性。所建立的预测模型能有效地预测大肠杆菌在卤鸡腿中的生长动态,为控制即食食品中大肠杆菌污染提供理论依据。     

牛肉中单增李斯特菌的热失活模型

【目的】建立牛肉中单增李斯特菌的热失活动力学模型。【方法】将接种了3种不同血清型的单增李斯特菌混合菌液的牛肉分别在55℃、57.5℃、60℃、63℃、66℃和70℃进行热处理,在不同温度条件下单增李斯特菌数从109CFU/g下降至103CFU/g,其热失活曲线用修正的Gompertz模型进行了拟合;利用线性模型对单增李斯特菌的相对失活率(μ)和所持续时间(M)的自然对数值与温度(55℃-70℃)进行拟合;通过在59℃和64℃对牛肉中单增李斯特菌热处理,对所建的模型进行了验证。【结果】建立了牛肉中单增李斯特菌热失活动力学的一级模型和二级模型,经验证其准确因子和偏差因子均在可接受范围内。【结论】本研究所建立的模型能较好的模拟不同温度(55℃-70℃)对牛肉中单增李斯特菌热失活的影响。     

凉拌豆制品中单核细胞增生李斯特菌生长模型建立的研究

单核细胞增生李斯特菌是凉拌豆制品中检出率较高的一种致病菌。本研究考察了温度(4℃、15℃、25℃、30℃和37℃)对凉拌豆制品中单核细胞增生李斯特菌生长的影响,并采用SGompertz和SLogistic模型对不同温度下单核细胞增生李斯特菌的生长数据进行拟合;在此基础上,以拟合度(R2)、准确因子(A_f)和偏差因子(B_f)为指标,比较并建立了凉拌豆制品中单核细胞增生李斯特菌的二级生长模型。结果表明,SGompertz模型能更好的拟合凉拌豆制品中单核细胞增生李斯特菌在不同温度下的生长数据,平方根模型能够较准确地预测凉拌豆制品中单核细胞增生李斯特菌的生长状况,因此依次选择此两种模型作为单核细胞增生李斯特菌在凉拌豆制品中的一级和二级生长模型,且模型具有可靠性。研究结果可为凉拌豆制品中单核细胞增生李斯特菌的定量风险评估提供依据。     

熟肉制品中金黄色葡萄球菌生长模型的建立

对不同温度下(10℃、15℃、25℃、30℃和37℃)熟肉制品中金黄色葡萄球菌的生长进行拟合。一级生长预测模型的建立采用SGompertz和Slogistic模型,由此获得恒定温度下的参数值(最大比生长速率:μ_(max)和延滞期:λ)。同时选用平方根模型(Square Root model)和二次多项式模型(Quadratic Polynomial model)对一级生长预测模型获得的μ_(max)和λ进行拟合,建立二级生长预测模型,并对模型的拟合度和可靠性进行评价。研究发现SGompertz模型可以更好地拟合熟肉制品中金黄色葡萄球菌在10℃~37℃下的生长;二次多项式模型是拟合温度与μ_(max)之间关系的最适模型;平方根模型是拟合温度与λ之间关系的最适模型。     

馒头中金黄色葡萄球菌生长预测模型的建立

以传统面制品馒头作为研究对象,采用修正的Gompertz（SGompertz）和修正的Logistic（SLogistic）作为一级生长模型,应用Origin 9.0软件分别拟合馒头中金黄色葡萄球菌在10、15、25、30和37 ℃的生长情况,获得其最大比生长速率（μ_max）和迟滞期(λ)。采用平方根模型和二次多项式模型建立馒头中金黄色葡萄球菌的二级生长模型,并对该模型进行验证。结果表明,SGompertz模型能较好地拟合馒头中金黄色葡萄球菌的生长。以μ_max建立的平方根和二次多项式模型,R²分别为0.931 5和0.932 0,偏差因子（B_f）分别为1.123 2和1.050 1,准确因子（A_f）分别为1.221 0和1.190 2,表明采用μ_max进行拟合时,二次多项式模型的拟合效果较好;以迟滞期λ建立的平方根和二次多项式模型,R²分别为0.948 4和0.969 6,B_f分别为0.890 1和0.912 2,A_f分别为1.541 1和1.180 3,表明采用迟滞期λ进行拟合时,二次多项式模型的拟合效果较好。本研究可为馒头等传统面制品的定量风险评估提供参考。     

不同温度下斜纹夜蛾感染核型多角体病毒的流行病模型及模拟

研究了温度对斜纹夜蛾核型多角体病毒病流行的影响.结果表明,温度在29 ℃以上时,感病幼虫大多在2～3 d开始死亡,4～5 d达到高峰.随着温度的升高,感病幼虫病死率增加,病死速度加快.在试验温度范围内,未发现该病毒的热抑制温度,但感病幼虫死亡速率存在恒定温区,在29～35 ℃之间.感病幼虫的每日病死率可用互补重对数模型较好地拟合,累计病死时间分布可用Gompertz模型拟合,生物物理模型经改进后可很好地描述幼虫病死速率与温度的关系,可用于模拟分析不同温度下的幼虫病死时间分布和幼虫病死速率.     

Shelf-life extension of fresh-cut iceberg lettuce (Lactuca sativa L) by different antimicrobial films

This study was conducted to investigate the antibacterial activity and shelf-life extension effect of iceberg lettuce packed in BN/PE film. The BN/PE film has a strong microbial suppression effect on pathogenic bacteria such as Escherichia coli, Salmonella enteritidis, and S. typhimurium. The number of psychrophiles and mesophiles during 5 days of cold storage of fresh-cut iceberg lettuce at 10 degrees C packaged in BN/PE film was strictly suppressed in comparison with other tested films (OPP, PE, and PET film). When fresh processed iceberg lettuce was processed and stored under the current conditions, the shelf-life of the product was longer than 5 days in the BN/PE film package, whereas the shelf-life when using the other films tested, PE, OPP and PET, was no longer than 3-4 days. The decay rates of the iceberg lettuce packed in the BN/PE film was maintained at 29.8 +/- 2.1% on the 5th day of preservation. The samples packed in BN/PE film maintained an excellent visual quality during the 3 days of storage without significant differences in comparison with the initial visual quality. No browning was observed in the samples packed in BN/PE film for up to 3 days. The texture of shredded iceberg lettuce packaged in BN/PE film remained unchanged up to 3 days, and then a moderate decrease in texture was observed after 4 days of storage. In addition, the overall acceptability of fresh-cut iceberg lettuce packaged in BN/PE film did not change for up to 3 days, whereas the samples packaged in the other films were inedible by 3 days of storage. In conclusion, the shelf-life of fresh-cut iceberg lettuce packaged in the BN/PE film was extended to more than 5 days at 10 degres C, whereas that in the other films was 2 days at 10 degrees C. Therefore, the shelf-life extension effect of the fresh-cut iceberg lettuce in BN/PE film packaging was very effective compared with the other films tested.     

Interactions of Salmonella enterica with lettuce leaves

Aims:  To investigate the interactions of Salmonella enterica with abiotic and plant surfaces and their effect on the tolerance of the pathogen to various stressors.
Methods and Results:  Salmonella strains were tested for their ability to form biofilm in various growth media using a polystyrene plate model. Strong biofilm producers were found to attach better to intact Romaine lettuce leaf tissue compared to weak producers. Confocal microscopy and viable count studies revealed preferential attachment of Salmonella to cut-regions of the leaf after 2 h at 25°C, but not for 18 h at 4°C. Storage of intact lettuce pieces contaminated with Salmonella for 9 days at 4°C resulted only in small changes in population size. Exposure of lettuce-associated Salmonella cells to acidic conditions (pH 3·0) revealed increased tolerance of the attached vs planktonic bacteria.
Conclusions:  Biofilm formation on polystyrene may provide a suitable model to predict the initial interaction of Salmonella with cut Romaine lettuce leaves. Association of the pathogen with lettuce leaves facilitates its persistence during storage and enhances its acid tolerance.
Significance and Impact of the Study:  Understanding the interactions between foodborne pathogens and lettuce might be useful in developing new approaches to prevent fresh produce-associated outbreaks.     

Predictive model for growth of <Emphasis Type="Italic">Listeria monocytogenes</Emphasis> in untreated and treated lettuce with alkaline electrolyzed water

This study was performed to develop predictive models for the growth kinetics of Listeria monocytogenes in Ready-to-Eat (RTE) lettuce treated with or without alkaline electrolyzed water. Firstly, growth curves of L. monocytogenes in treated and untreated RTE lettuce were obtained at several isothermal conditions (4, 10, 15, 20, 25, 30, and 35°C) and were then fitted into Gompertz model with a high correlation coefficient (R ² > 0.99). Growth parameters such as growth rate (GR) and lag time (LT) estimated by Gompertz model were found mostly have significant difference (P < 0.05) with those predicted by Combined database for predictive microbiology (ComBase). Moreover, increased GR and decreased LT were observed with increasing storage temperatures from 4 to 35°C and untreated lettuce showed lowest GR or longest LT, and followed by treated lettuce and ComBase, respectively. Furthermore, square root equation was employed to establish the secondary models for the GR to evaluate the effect of different storage temperatures on the growth rate of L. monocytogenes in untreated lettuce and treated lettuce. After that, verification of the developed models has been carried out using several mathematical or statistical indicators such as R ², the average mean square error (MSE), bias factor (B _f) and accuracy factor (A _f). It showed that R ² values were close to 1 (>0.95), and MSE calculated from models of untreated and treated lettuce were 0.0011 and 0.0008, respectively. Also, B _f values of 0.980 and 1.034 and A _f values of 1.107 and 1.118 were all in the acceptable range. This demonstrated that overall predictions showed good agreement with the experimental values, indicating success at providing reliable predictions of L. monocytogenes growth in RTE lettuce.     

Optimization of the cell seeding density and modeling of cell growth and metabolism using the modified Gompertz model for microencapsulated animal cell culture

Cell microencapsulation is one of the promising strategies for the in vitro production of proteins or in vivo delivery of therapeutic products. In order to design and fabricate the optimized microencapsulated cell system, the Gompertz model was applied and modified to describe the growth and metabolism of microencapsulated cell, including substrate consumption and product formation. The Gompertz model successfully described the cell growth kinetics and the modified Gompertz models fitted the substrate consumption and product formation well. It was demonstrated that the optimal initial cell seeding density was about 4-5 x 10(6) cells/mL of microcapsule, in terms of the maximum specific growth rate, the glucose consumption potential and the product formation potential calculated by the Gompertz and modified Gompertz models. Modeling of cell growth and metabolism in microcapsules provides a guideline for optimizing the culture of microencapsulated cells.     

Temporal and spatial spread of Lettuce mosaic virus in lettuce crops in central Spain: factors involved in Lettuce mosaic virus epidemics

Lettuce mosaic virus (LMV) is transmitted by aphid vectors in a nonpersistent manner as well as by seeds. The virus causes severe disease outbreaks in commercial lettuce crops in several regions of Spain. The temporal and spatial patterns of spread of LMV were studied in autumn 2002 in the central region of Spain. Symptomatic lettuce (var. Cazorla) plant samples were collected weekly, first at the seedling stage from the greenhouse nursery and later outdoors after transplantation. The exact position of symptomatic plants sampled in the field was recorded and then material was tested by enzyme‐linked immunosorbent assay to assess virus infection. Cumulative spatial data for infected plants at different growth stages were analysed using spatial analysis by distance indices. For temporal analysis, the monomolecular, Gompertz, logistic and exponential models were evaluated for goodness of fit to the entire set of disease progress data obtained. The results indicated that the disease progress curve of LMV epidemics in the selected area is best described by a Gompertz model and that the epidemic follows a polycyclic disease progression. Our data suggest that secondary cycle of spread occurs when noncolonising aphid species land on the primary infected plants (probably coming from infected seed) and move to adjacent plants before leaving the crop. The role of weeds growing close to lettuce fields as potential inoculum sources of virus and the aphid species most likely involved in the transmission of LMV were also identified.     

A New Secondary Model Developed for the Growth Rate of <Emphasis Type="Italic">Escherichia coli</Emphasis> O157:H7 in Broth

This study was attempted to develop a new exponential sum model to describe the effect of temperature on growth rate (GR) of Escherichia coli O157:H7 in broth. The growth rates of E. coli O157:H7 at different storage temperatures (4, 10, 15, 20, 25, 30, and 35°C) estimated by fitting with the modified Gompertz model were used to develop secondary models such as square root model, Ratkowsky model and exponential sum model. Measures of coefficient of determination (R ²), root mean square error (RMSE) and the sum of squares due to error (SSE) were employed to compare the performances of these three secondary models. Based on these criteria, the developed exponential sum model showed the better goodness-of-fit and performance.