Jerônimo Vieira Dantas Filho, Douglas Guedes Gotardi, J. Cavali, Sandro de Vargas Schons
{"title":"鱼类养殖食品中沙门氏菌的免疫学和生物传感检测技术综述","authors":"Jerônimo Vieira Dantas Filho, Douglas Guedes Gotardi, J. Cavali, Sandro de Vargas Schons","doi":"10.25110/arqvet.v24i2cont.2021.8639","DOIUrl":null,"url":null,"abstract":"Salmonellosis is the world's most common foodborne illness. In Brazil, foods contaminated by salmonella lead the statistics. Therefore, the aim of this study is, through biotechnological knowledge, to compile alternative and innovative techniques for the detection of salmonella in foods, such as fish-farming derivatives, immunological and biosensorial techniques. This is a descriptive exploratory data survey of a qualitative nature, aiming at data analysis. Research and data collection were carried out in bibliographic databases: Academic Google, Scielo, CAPES journals and institutional repositories using specific descriptors - in Portuguese and English, with words and terms separated by the Boolean operators 'AND' and 'OR'. Some innovative and alternative methods are available to identify the presence of salmonella in food. Immunological and biosensory techniques, despite being less frequent in the scientific literature than molecular methods, are techniques that present high specificity and sensitivity. These techniques have been the most developed alternative methods in fish in recent years. And, they can employ both molecular and immunological techniques in biorecognition, which is characterized as an advantage of not having a requirement for pre-enrichment of the sample. According to the literature found, the techniques covered in this study are quick to respond, which speeds up decision-making by researchers and technicians, which makes the techniques very promising for industrial application.","PeriodicalId":435756,"journal":{"name":"Arquivos de Ciências Veterinárias e Zoologia da UNIPAR","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"IMMUNOLOGICAL AND BIOSSENSORY TECHNIQUES FOR DETECTION OF SALMONELLA IN FOOD DERIVED FROM FISH FARMING - REVIEW\",\"authors\":\"Jerônimo Vieira Dantas Filho, Douglas Guedes Gotardi, J. Cavali, Sandro de Vargas Schons\",\"doi\":\"10.25110/arqvet.v24i2cont.2021.8639\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Salmonellosis is the world's most common foodborne illness. In Brazil, foods contaminated by salmonella lead the statistics. 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IMMUNOLOGICAL AND BIOSSENSORY TECHNIQUES FOR DETECTION OF SALMONELLA IN FOOD DERIVED FROM FISH FARMING - REVIEW
Salmonellosis is the world's most common foodborne illness. In Brazil, foods contaminated by salmonella lead the statistics. Therefore, the aim of this study is, through biotechnological knowledge, to compile alternative and innovative techniques for the detection of salmonella in foods, such as fish-farming derivatives, immunological and biosensorial techniques. This is a descriptive exploratory data survey of a qualitative nature, aiming at data analysis. Research and data collection were carried out in bibliographic databases: Academic Google, Scielo, CAPES journals and institutional repositories using specific descriptors - in Portuguese and English, with words and terms separated by the Boolean operators 'AND' and 'OR'. Some innovative and alternative methods are available to identify the presence of salmonella in food. Immunological and biosensory techniques, despite being less frequent in the scientific literature than molecular methods, are techniques that present high specificity and sensitivity. These techniques have been the most developed alternative methods in fish in recent years. And, they can employ both molecular and immunological techniques in biorecognition, which is characterized as an advantage of not having a requirement for pre-enrichment of the sample. According to the literature found, the techniques covered in this study are quick to respond, which speeds up decision-making by researchers and technicians, which makes the techniques very promising for industrial application.