Detection of the bacteria concentration level in pasteurized milk by using two different artificial multisensory methods
Tài liệu tham khảo
Rodríguez Méndez, 2016
Martin, 2016, The evolving role of coliforms as indicators of unhygienic processing conditions in dairy foods, Front. Microbiol., 7, 1549
Metz, 2020, Use of indicator bacteria for monitoring sanitary quality of raw milk cheeses – a literature review, Vol. 85, 103283
Bari, 2018, Foodborne diseases and responsible agents, 195
Carneiro, 2006, Phenotypic and genotypic characterisation of Escherichia coli strains serogrouped as enteropathogenic E. coli (EPEC) isolated from pasteurised milk, Int. J. Food Microbiol., 108, 15, 10.1016/j.ijfoodmicro.2005.10.010
Currie, 2018, Outbreak of Escherichia coli O157:H7 infections linked to aged raw milk gouda cheese, Canada, 2013, J. Food Prot., 81, 325, 10.4315/0362-028X.JFP-17-283
Guh, 2010, Outbreak of Escherichia coli O157 associated with raw milk, Connecticut, 2008, Clin. Infect. Dis., 51, 1411, 10.1086/657304
Oliver, 2005, Foodborne pathogens in milk and the dairy farm environment: food safety and public health implications, Vol. 2(2), 115
Ntuli, 2016, Characterization of Escherichia coli and other Enterobacteriaceae in producer-distributor bulk milk, J. Dairy Sci., 99, 9534, 10.3168/jds.2016-11403
Santiago, 2018, Short communication: extended-spectrum AmpC–producing Escherichia coli from milk and feces in dairy farms in Brazil, J. Dairy Sci., 101, 7808, 10.3168/jds.2017-13658
Anderson, 2011, The microbial content of unexpired pasteurized milk from selected supermarkets in a developing country, Asian Pac. J. Trop. Biomed., 1, 205, 10.1016/S2221-1691(11)60028-2
Vahedi, 2013, Bacteriological study of raw and unexpired pasteurized cow’s milk collected at the dairy farms and super markets in Sari city in 2011, J. Prevent. Med. Hygiene, 54, 120
Hu, 2020, Rapid analysis of Escherichia coli O157:H7 using isothermal recombinase polymerase amplification combined with triple-labeled nucleotide probes, Mol. Cell. Probes, 50, 101501, 10.1016/j.mcp.2019.101501
Baldwin, 2011, Electronic noses and tongues: applications for the food and pharmaceutical industries, Sensors, 11, 4744, 10.3390/s110504744
Casalinuovo, 2006, Application of electronic noses for disease diagnosis and food spoilage detection, Sensors, 6, 1428, 10.3390/s6111428
Ghasemi-Varnamkhasti, 2018, Potential use of electronic noses, electronic tongues and biosensors as multisensor systems for spoilage examination in foods, Vol. 80, 71
Wojnowski, 2017, Electronic noses: powerful tools in meat quality assessment, 131, 119
Zambotti, 2019, Early detection of fish degradation by electronic nose, 1
Kalit, 2014, Primjena elektronskog nosa i elektronskog jezika u mLjekarskoj industriji, MLjekarstvo, 64, 228
Peris, 2013, On-line monitoring of food fermentation processes using electronic noses and electronic tongues: a review, Vol. 804, 29
Shi, 2018, Advances of electronic nose and its application in fresh foods: a review, 58(16)
Needham, 2005, Early detection and differentiation of spoilage of bakery products, Sens. Actuat. B, 106, 20, 10.1016/j.snb.2004.05.032
Carrillo-Gómez, 2019, Concentration detection of the E. coli bacteria in drinking water treatment plants through an E-nose and a volatiles extraction system (VES), Water, 11, 774, 10.3390/w11040774
Sanaeifar, 2017, Early detection of contamination and defect in foodstuffs by electronic nose: a review, TrAC, 97, 257
Ali, 2003, Detection of bacterial contaminated milk by means of a quartz crystal microbalance based electronic nose, J. Therm. Anal. Calorim., 71, 155, 10.1023/A:1022274419166
Haugen, 2006, Application of gas-sensor array technology for detection and monitoring of growth of spoilage bacteria in milk: a model study, Anal. Chim. Acta, 565, 10, 10.1016/j.aca.2006.02.016
Korel, 2002, Microbial and sensory assessment of milk with an electronic nose, J. Food Sci., 67, 758, 10.1111/j.1365-2621.2002.tb10672.x
Magan, 2001, Milk-sense: a volatile sensing system recognizes spoilage bacteria and yeasts in milk, Sensors Actuators B Chem., 72, 28, 10.1016/S0925-4005(00)00621-3
Tazi, 2018, Dairy products discrimination according to the milk type using an electrochemical multisensor device coupled with chemometric tools, J. Food Measur. Character., 12, 2385, 10.1007/s11694-018-9855-8
Tohidi, 2018, Development of a metal oxide semiconductor-based artificial nose as a fast, reliable and non-expensive analytical technique for aroma profiling of milk adulteration, Int. Dairy J., 77, 38, 10.1016/j.idairyj.2017.09.003
Yu, 2007, Identification of adulterated milk using electronic nose, 19(5)
Latha, 2012, Electronic tongue: an analytical gustatory tool, J. Adv. Pharm. Technol. Res., 3, 3
Vlasov, 2005, Non-specific sensor arrays (“electronic tongue”) for chemical analysis of liquids: (IUPAC technical report), 1965
Jiang, 2018, Application of electronic tongue for fresh foods quality evaluation: a review, Food Rev. Int., 34, 746, 10.1080/87559129.2018.1424184
Vagin, 2016, Drinking water analysis using electronic tongues, 255
Wadehra, 2016, Application of electronic tongues in food processing, Anal. Methods, 8, 474, 10.1039/C5AY02724A
Wang, 2019, Electronic tongue for food sensory evaluation, 23
Ciosek, 2016, Milk and dairy products analysis by means of an electronic tongue, 209
Dias, 2009, An electronic tongue taste evaluation: identification of goat milk adulteration with bovine milk, Sensors Actuators B Chem., 136, 209, 10.1016/j.snb.2008.09.025
Wei, 2013, Monitoring of quality and storage time of unsealed pasteurized milk by voltammetric electronic tongue, Electrochim. Acta, 88, 231, 10.1016/j.electacta.2012.10.042
Bueno, 2014, Voltammetric electronic tongue for discrimination of milk adulterated with urea, formaldehyde, and melamine, Chemosensors, 2, 251, 10.3390/chemosensors2040251
AOAC, 1995, Total coliforms, fecal coliforms, and Escherichia coli in foods: Hydrophobic grid membrane filter method. Sec. 17.3.08, method 983.25, 18
Wilson, 2009, Applications and advances in electronic-nose technologies, Sensors, 9, 5099, 10.3390/s90705099
Abdolreza, 2013, Investigation of metabonomics technique by analyze of NMR data, which method is better? Mean center or auto scale?, J. Paramed. Sci., 4
Alexandris, 2017, Remote sensing of burned areas via PCA, Part 1; centering, scaling and EVD vs SVD, 2(1)
Bro, 2003, Centering and scaling in component analysis, J. Chemom., 17, 16, 10.1002/cem.773
Rodríguez, 2016, Principal component analysis (PCA) of volatile terpene compounds dataset emitted by genetically modified sweet orange fruits and juices in which a D-limonene synthase was either up- or down-regulated vs. empty vector controls, Data Brief, 9, 355, 10.1016/j.dib.2016.09.003
Jolliffe, 2011, Principal component analysis, 1094
Xu, 2016, A novel method for qualitative analysis of edible oil oxidation using an electronic nose, Food Chem., 202, 229, 10.1016/j.foodchem.2016.01.144
Mahmodi, 2019, Detection and classification of diesel-biodiesel blends by LDA, QDA and SVM approaches using an electronic nose, Fuel, 258, 116114, 10.1016/j.fuel.2019.116114
Zhang, 2007, An alternate method of hierarchical classification for E-nose: combined Fisher discriminant analysis and modified Sammon mapping, Sensors Actuators B Chem., 127, 399, 10.1016/j.snb.2007.04.045
Cristianini, 2000, Background mathematics, 165
Brudzewski, 2004, Classification of milk by means of an electronic nose and SVM neural network, Sensors Actuators B Chem., 98, 291, 10.1016/j.snb.2003.10.028
Papadopoulou, 2011, Rapid assessment of meat quality by means of an electronic nose and support vector machines, Proc. Food Sci., 1, 2003, 10.1016/j.profoo.2011.09.295
Sriramprakash, 2017, Stress detection in working people, 359
García, 2012, Prototype selection for nearest neighbor classification: taxonomy and empirical study, IEEE Trans. Pattern Anal. Mach. Intell., 34, 417, 10.1109/TPAMI.2011.142
Vitola, 2017, A sensor data fusion system based on k-nearest neighbor pattern classification for structural health monitoring applications, Sensors, 17, 417, 10.3390/s17020417
Anand, 2011, Pathogens in milk: enterobacteriaceae, 67
Hu, 2010, Structural and genetic evidence for the close relationship between Escherichia coli O71 and Salmonella enterica O28 O-antigens, FEMS Immunol. Med. Microbiol., 59, 161, 10.1111/j.1574-695X.2010.00676.x
Ducarmon, 2019, Gut microbiota and colonization resistance against bacterial enteric infection, Microbiol. Mol. Biol. Rev., 83, 10.1128/MMBR.00007-19
Marques, 2019, Klebsiella pneumoniae causing urinary tract infections in companion animals and humans: population structure, antimicrobial resistance, and virulence genes, J. Antimicrob. Chemother., 74, 594, 10.1093/jac/dky499
Encheva, 2009, Proteomic analysis of the adaptive response of salmonella enterica serovar typhimurium to growth under anaerobic conditions, Microbiology, 155, 2429, 10.1099/mic.0.026138-0
Förster, 2014, Metabolic engineering of Escherichia coli for production of mixed-acid fermentation end products, Front. Bioeng. Biotechnol., 2, 16