荧光定量PCR在预测微生物学中的应用
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摘要
食品微生物是影响食品安全的重要因素之一,快速准确预测食品加工和贮存过程中的微生物变化对食品风险评估具有重要意义。本文首先介绍了荧光定量PCR技术的历史及其发展,着重介绍了荧光染料法和水解探针法的基本原理,讨论了其优缺点并对其应用进行总结和展望。然后介绍了预测微生物学的历史及其发展,同时对一二三级模型进行了归纳和分类,并讨论预测模型的意义及在食品领域研究所需要注意的问题。最后介绍了荧光定量PCR技术在预测微生物学中的应用,归纳了当前国内外研究的现状,并指出发展缓慢的可能原因,提出荧光定量PCR技术只停留在检测层面并没有很好用于预测微生物学模型的构建。通过本综述以期推动荧光定量PCR技术在预测微生物学领域的全面应用,进而推动预测微生物学的进一步发展。
Foodborne pathogen is an important factor which affects food safety.Quick and accurate prediction of the microbial changes in the process of food processing and storage and transportation is essential for food risk assessment.Firstly,this review overviewed the history and development of fluorescent quantitative PCR. The basic principles of both fluorescent dye and hydrolysis probe method were emphatically introduced. Their advantages and disadvantages were discussed,and their applications were summarized and prospected.Then,the history and development of predictive microbiology were introduced.At the same time,one-level,two-level and three-level model were outlooked and classified. Meanwhile,the significance of predictive model and the problems needing attention in food research was discussed. Finally,the application of fluorescent quantitative PCR in predictive microbiology was introduced,and the current research situation at home and abroad was summarized.The possible reasons for the slow development were pointed out. This review aims to promote the application of fluorescent quantitative PCR in the field of predictive microbiology,and further promote the development of predictive microbiology.
Foodborne pathogen is an important factor which affects food safety.Quick and accurate prediction of the microbial changes in the process of food processing and storage and transportation is essential for food risk assessment.Firstly,this review overviewed the history and development of fluorescent quantitative PCR. The basic principles of both fluorescent dye and hydrolysis probe method were emphatically introduced. Their advantages and disadvantages were discussed,and their applications were summarized and prospected.Then,the history and development of predictive microbiology were introduced.At the same time,one-level,two-level and three-level model were outlooked and classified. Meanwhile,the significance of predictive model and the problems needing attention in food research was discussed. Finally,the application of fluorescent quantitative PCR in predictive microbiology was introduced,and the current research situation at home and abroad was summarized.The possible reasons for the slow development were pointed out. This review aims to promote the application of fluorescent quantitative PCR in the field of predictive microbiology,and further promote the development of predictive microbiology.
引文
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[35]李苗云,张秋会,赵改名,等.冷却猪肉中单增李斯特氏菌生长动力学模型的建立与评价[J].食品科学,2009,30(21):234-236.
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[37]于艳艳,丁甜,刘东红.基于不同样本容量构建原料乳中金黄色葡萄球菌的预测生长模型[J].中国食品学报,2016,16(5):155-160.
[38]李金春,杨君娜,周彤,等.营养肉汤中金黄色葡萄球菌致死模型的构建[J].中国食品学报,2017,17(2):235-242.
[39]郭川,林奕华,庄旭冬,等.副溶血性弧菌VBNC的诱导及其免疫捕获PCR检测[J].中国病原生物学杂志,2010(7):502-504.
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[2]Wolf J M V D,Haas B H D,Hoof R V,et al.Development and evaluation of Taqman assays for the differentiation of Dickeya(sub)species[J].European Journal of Plant Pathology,2014,138(4):695-709.
[3]Tang J,Khan S,Delmiglio C,et al.Sensitive detection o Tomato ringspot virus by real-time Taq Man RT-PCR targeting the highly conserved 3'-UTR region[J].Journal of Virologica Methods,2014,201:38.
[4]Srivastava A,Sharma A,Yadav S,et al.Gene expression profiling of candidate genes in peripheral blood mononuclear cells for predicting toxicity of diesel exhaust particles[J].Free Radica Biology&Medicine,2014,67(2):188-194.
[5]Cho S,Ge J,Seo S B,et al.Age estimation via quantification o signal-joint T cell Receptor Excision Circles in Koreans[J].Lega Medicine,2014,16(3):135-138.
[6]Ross T.Indices for performance evaluation of predictive models in food microbiology[J].J Appl Bacteriol,1996,81(5):501-508.
[7]Vol N.Predictive Microbiology:Theory and Application[J].Trends in food science and technology:An official journal of the European Federation of Food Science and Technology(EFFo ST)and the International Union of Food Science and Technology(IUFo ST),1993,4.
[8]金鑫,周光宏,徐幸莲,等.预测食品微生物学在肉品安全领域的应用[J].肉类研究,2010(7):3-7.
[9]董庆利,王海梅,Malakar P K,等.我国食品微生物定量风险评估的研究进展[J].食品科学,2015,36(11):221-229.
[10]Valasek M A,REPA J J.The power of real-time PCR[J].Advances in Physiology Education,2005,29(3):151.
[11]Mackay I M.Real-time PCR in the microbiology laboratory[J].Clinical Microbiology&Infection,2004,10(3):190-212.
[12]牛犇,穆丽丽,张昭寰,等.低温条件下即食虾中单增李斯特菌与副溶血性弧菌共存分子预测模型的建立[J].食品科学,2018,39(23):1-6.
[13]刘歆,徐根明,郭江峰,等.基于SYBR Green I的双链DNA定量方法[J].中国生物工程杂志,2008,28(1):55-60.
[14]陈光,吴盛海,余道军,等.基于DPO的四重荧光PCR检测常见分枝杆菌方法的建立与应用[J].中华检验医学杂志,2012,35(8):722-725.
[15]李红霞.两种Taqman探针的制备及荧光检测性能比较[J].化学研究与应用,2011,23(8):1057-1061.
[16]Zhong J,Zhao X.Detection of viable but non-culturable Escherichia coli O157∶H7 by PCR in combination with propidium monoazide[J].Biotech,2018,8(1):28.
[17]Sunyer-figueres M,Wang C,Mas A.Analysis of ribosomal RNA stability in dead cells of wine yeast by quantitative PCR[J].International Journal of Food Microbiology,2018,270:1.
[18]AgustíG,Fittipaldi M,Codony F.Optimization of a viability pcr method for the detection of Listeria monocytogenes in food samples[J].Current Microbiology,2018:1-7.
[19]Reumer M,Harnisz M,Lee H J,et al.Impact of peat mining,and restoration on methane turnover potentials and methanecycling microorganisms in a northern bog[J].Applied&Environmental Microbiology,2018,84(3):AEM.02218-17.
[20]Crevecoeur S,Vincent W F,Comte J,et al.Diversity and potential activity of methanotrophs in high methane-emitting permafrost thaw ponds[J].Plos One,2017,12(11):e0188223.
[21]Tajima K,Aminov R I,Nagamine T,et al.Diet-dependent shifts in the bacterial population of the rumen revealed with realtime PCR[J].Appl Environ Microbiol,2001,67(6):2766-2774.
[22]Liao C,Peng Z,Li J,et al.Simultaneous construction of PCR-DGGE-based predictive models of Vibrio parahaemolyticus and Listeria monocytogenes on cooked shrimps[J].Letters in Applied Microbiology,2015,60(3):210-216.
[23]赵洁,马晨,席晓敏,等.实时荧光定量PCR技术在肠道微生物领域中的研究进展[J].生物技术通报,2014,(12):61-66.
[24]王香君,李梦茹,段杉.实时荧光定量PCR法定量微生物的条件及在鱼露和虾油微生物检测中的应用研究[J].食品与发酵工业,2018(2):198-205.
[25]孙志华,刘益巧,钱江,等.CHRNA9基因绝对定量PCR标准曲线的建立[J].生物技术,2017(5):460-465.
[26]肖莉莉,张昭寰,娄阳,等.叠氮溴化丙锭(PMA)在食源性致病菌检测中的应用[J].中国食品学报,2016,16(6):187-194.
[27]Mcmeekin T A,Ross T.Shelf life prediction:status and future possibilities[J].International Journal of Food Microbiology,1996,33(1):65-83.
[28]Buchanan R L.Predictive food microbiology*[C]//Predictive food microbiology*.Strategien der Qualitatsssicherung in der Lebensmittelverarbeitung.6-11.
[29]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,2001,27(11):54-57.
[30]唐佳妮,张爱萍,刘东红.预测微生物学的研究进展及其在食品中的应用[J].中国食品学报,2010,10(6):162-166.
[31]李苗云,田璐,赵改名,等.肉品微生物生长预测模型研究进展[J].肉类研究,2012,26(12):20-24.
[32]周康,刘寿春,李平兰,等.食品微生物生长预测模型研究新进展[J].微生物学通报,2008,35(4):589-594.
[33]岳晓禹,胡志霞,刘相东,等.食品微生物预测模型研究进展[J].郑州牧业工程高等专科学校学报,2014,34(3):14-16.
[34]赵怀龙,付留杰,唐功臣.我国主要的食源性致病菌[J].医学动物防制,2012,(11):1212-1216.
[35]李苗云,张秋会,赵改名,等.冷却猪肉中单增李斯特氏菌生长动力学模型的建立与评价[J].食品科学,2009,30(21):234-236.
[36]胡燕,卢大新,张海予,等.大肠埃希氏菌在熟肉制品中生长预测模型的建立[J].北京农学院学报,2017,32(4):108-112.
[37]于艳艳,丁甜,刘东红.基于不同样本容量构建原料乳中金黄色葡萄球菌的预测生长模型[J].中国食品学报,2016,16(5):155-160.
[38]李金春,杨君娜,周彤,等.营养肉汤中金黄色葡萄球菌致死模型的构建[J].中国食品学报,2017,17(2):235-242.
[39]郭川,林奕华,庄旭冬,等.副溶血性弧菌VBNC的诱导及其免疫捕获PCR检测[J].中国病原生物学杂志,2010(7):502-504.
[40]於颖.PMA-q PCR定量检测畜禽肉类中食源性致病菌活菌的研究[D].上海:东华大学,2015.
[41]彭织云,王敬敬,唐晓阳,等.运用Real-time quantification PCR方法建立副溶血性弧菌在即食虾中的生长预测模型[J].食品工业科技,2013,34(8):108-110.
[42]Gibson A M,Bratchell N,Roberts T A.Predicting microbial growth:growth responses of salmonellae in a laboratory medium as affected by p H,sodium chloride and storage temperature[J].International Journal of Food Microbiology,1988,6(2):155-178.
[43]Sutherland J P,Bayliss A J,Braxton D S.Predictive modelling of growth of Escherichia coli O157∶H7:the effects of temperature,p H and sodium chloride[J].International Journal of Food Microbiology,1995,25(1):29-49.
[44]George S M,Richardson L C,Peck M W.Predictive models of the effect of temperature,p H and acetic and lactic acids on the growth of Listeria monocytogenes[J].International Journal of Food Microbiology,1996,32(1-2):73-90.
[45]Mcclure P J,Beaumont A L,Sutherland J P,et al.Predictive modelling of growth of Listeria monocytogenes.The effects on growth of Na Cl,p H,storage temperature and Na NO2[J].International Journal of Food Microbiology,1997,34(3):221-232.
[46]Ross T,Dalgaard P,Tienungoon S.Predictive modelling of the growth and survival of Listeria in fishery products[J].International Journal of Food Microbiology,2000,62(3):231.
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