| 433 | 7 | 60 |
| 下载次数 | 被引频次 | 阅读次数 |
食品中真菌及真菌毒素的污染已成为一个重要的公共卫生问题。利用预测微生物学的方法,研究不同环境因素对食品中真菌生长及毒素产生的影响规律,并建立相应的数学模型,可达到控制食品中真菌及其毒素污染,保障食品质量安全,维护消费者生命健康等目的。文章介绍了预测微生物学的研究方法及其在食品真菌生长和毒素产生中的应用情况。
Abstract:[1]PANAGOU E Z,KODOGIANNIS V,NYCHAS G J E.Modelling fungal growth using radial basis function neural networks:the case of the ascomycetous fungus Monascus ruber van Tieghem[J].Int J Food Microbiol,2007,117:276-286.
[2]FAKRUDDIN M D,MAZUMDER R M,MANNAN K S B.Predictive microbiology:modeling microbial responses in food[J].Ceylon J Sci,2011,40(2):121-131.
[3]陈星,潘迎捷,赵勇.预测微生物学及其在食品安全中的应用[C].上海:上海市食品学会学术年会论文集,2009:40-46.
[4]NICOLAI B M,van IMPE J F.Predictive food microbiology:A probabilistic approach[J].Math Comput Simulat,1996,42(2-3):287-292.
[5]李博,李里特,辰巳英三.预测微生物学的研究进展[J].食品与发酵工业,2001,24(11):54-57.
[6]WHITING R C,BUCHANAN R L.A classification of models for predictive microbiology[J].Food Microbiol,1993,10:175-177.
[7]李玉锋,黄丹,赵丽.预测食品微生物学的研究进展[J].西华大学学报,2010,29(2):199-201.
[8]李秋鹏.食品预测微生物学三级模型的研究进展[J].农产品加工,2013,9:54-56.
[9]GOUGOULI M,KALANTZI K,BELETSIOTIS E,et al.Development and application of predictive models for fungal growth as tools to improve quality control in yogurt production[J].Food Microbiol,2011,28:1453-1462.
[10]石毓梅.预测微生物学在食品质量和安全评估上的应用[J].广西质量监督导报,2009,11:31-32.
[11]孙超,卢慧丽,刘勇.Real-time PCR及预测微生物学在白酒酿造中的应用构想[J].中国酿造,2012,31(10):7-10.
[12]HUCHET V,PAVAN S,LOCHARDET A,et al.Development and application of a predictive model of Aspergillus candidus growth as a tool to improve shelf life of bakery products[J].Food Microbiol,2013,36:254-259.
[13]JOZSEF B,ROBERTS T A.Mathematics of predictive food microbiology[J].Int J Food Microbiol,1995,26:199-218.
[14]GIBSON A M,JOZSEF B,PITT J I,et al.Predicting fungal growth:the effect of water activity on Aspergillus flavus and related species[J].Int J Food Microbiol,1994,23:419-431.
[15]JOZSEF B,CSERNUS O,BECZNER J.Error analysis in predictive modelling demonstrated on mould data[J].Int J Food Microbiol,2014,170:78-82.
[16]ASTORECA A,VAAMONDE G,DALCERO A,et al.Modelling the effect of temperature and water activity of Aspergillusavus isolates from corn[J].Int J Food Microbiol,2012,156:60-67.
[17]SAUTOUR M,ROUGET A,DANTIGNY P,et al.Application of Doehlert design to determine the combined effects of temperature,water activity and p H on conidial germination of Penicillium chrysogenum[J].J Appl Microbiol,2001,91:900-906.
[18]PANAGOU E Z,SKANDAMIS P N,NYCHAS G J E.Modelling the combined effect of temperature,p H and aw on the growth rate of Monascus ruber,a heatresistant fungus isolated from green table olives[J].J Appl Microbiol,2003,94:146-156.
[19]Van ASSELT E D,BOOIJ C J H,Van Der FELSKLERXA H J.Modelling mycotoxin formation by Fusarium graminearum in maize in the Netherlands[J].Food Addit Contam,2012,29(10):1572-1580.
[20]Van Der FELS-KLERXA H J,KLEMSDALB S,HIETANIEMIC V,et al.Mycotoxin contamination of cereal grain commodities in relation to climate in North West Europe[J].Food Addit Contam,2012,29(10):1581-1592.
[21]Van Der FELS-KLERX H J,GOEDHART P W,ELEN O,et al.Modeling deoxynivalenol contamination of wheat in Northwestern Europe for climate change assessments[J].J Food Protect,2012,75(6):1099-1106.
[22]PRANDINI A,SIGOLOA S,FILIPPI L,et al.Review of predictive models for Fusarium head blight and related mycotoxin contamination in wheat[J].Food Chem Toxicol,2009,47:927-931.
[23]HOOKER D C,SCHAAFSMA A W.The DONcast model:predicting deoxynivalenol(DON)in wheat[J].Pathog Epidemiol Dis Forecasting,2004,12(2):458.
[24]BATTILANI P,CAMARDO LEGGIERI M,ROSSI V,et al.AFLA-maize,a mechanistic model for Aspergillus flavus infection and aflatoxin B1contamination in maize[J].Comput Electron Agr,2013,94:38-46.
[25]MERTENS L,Van DERLINDENA E,Van IMPE J F.A novel method for high-throughput data collection in predictive microbiology:optical density monitoring of colony growth as a function of time[J].Food Microbiol,2012,32:196-201.
[26]HUANG Lihan.IPMP 2013—A comprehensive data analysis tool for predictive microbiology[J].Int J Food Microbiol,2014,171:100-107.
基本信息:
DOI:10.19813/j.cnki.weishengyanjiu.2016.03.030
中图分类号:R155.5
引用信息:
[1]徐文静,韩小敏,李凤琴,等.预测微生物学在食品真菌污染及产毒中的应用[J].卫生研究,2016,45(03):511-515.DOI:10.19813/j.cnki.weishengyanjiu.2016.03.030.
基金信息:
国家自然科学基金青年科学基金(No.31301489); 国家食品安全风险评估中心523人才
2015-11-09
2015
2016-01-07
2016-01-08
2016
1
2016-05-30
2016-05-30