Literature DB >> 24768759

Recent sensing technologies for pathogen detection in milk: a review.

Alessia Mortari1, Leandro Lorenzelli2.   

Abstract

Quality control utilising Hazard Analysis and Critical Control Points in the dairy industry generates a large volume of samples. The associated costs are significant. The development and application of fast, sensitive and cost effective analytical systems for pathogen detection in milk could aid the industry in the reduction of overheads, find new uses in dairy farming and production precision management and unlock new markets. Recent progress in pathogen sensing technologies for milk analysis, in particular nucleic acid amplification and biosensors, is reviewed here. The importance of representative samples, detection probability and Practical Detection Limit is clarified. Methods for sample pretreatment are discussed in association with the most applicable detection methods. The major findings are summarised and future perspectives are drawn to inspire new ideas in the scientific community.
Copyright © 2014 Elsevier B.V. All rights reserved.

Keywords:  Detection probability; Lab on chip; Milk; Pathogen detection

Mesh:

Year:  2014        PMID: 24768759     DOI: 10.1016/j.bios.2014.03.063

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  11 in total

1.  Carbon Nanotube Chemical Sensors.

Authors:  Vera Schroeder; Suchol Savagatrup; Maggie He; Sibo Lin; Timothy M Swager
Journal:  Chem Rev       Date:  2018-09-18       Impact factor: 60.622

2.  Development of a Droplet Digital Polymerase Chain Reaction for Rapid and Simultaneous Identification of Common Foodborne Pathogens in Soft Cheese.

Authors:  Paola Cremonesi; Claudia Cortimiglia; Claudia Picozzi; Giulietta Minozzi; Michela Malvisi; Mario Luini; Bianca Castiglioni
Journal:  Front Microbiol       Date:  2016-10-28       Impact factor: 5.640

Review 3.  Past, Present and Future of Sensors in Food Production.

Authors:  Catherine C Adley
Journal:  Foods       Date:  2014-08-19

4.  An automated bacterial concentration and recovery system for pre-enrichment required in rapid Escherichia coli detection.

Authors:  Yushan Zhang; Chang-Qing Xu; Tianyi Guo; Lingcheng Hong
Journal:  Sci Rep       Date:  2018-12-13       Impact factor: 4.379

Review 5.  Biosensors for On-Farm Diagnosis of Mastitis.

Authors:  Sofia A M Martins; Verónica C Martins; Filipe A Cardoso; José Germano; Mónica Rodrigues; Carla Duarte; Ricardo Bexiga; Susana Cardoso; Paulo P Freitas
Journal:  Front Bioeng Biotechnol       Date:  2019-07-31

Review 6.  Spatial and temporal epidemiological analysis in the Big Data era.

Authors:  Dirk U Pfeiffer; Kim B Stevens
Journal:  Prev Vet Med       Date:  2015-06-06       Impact factor: 2.670

7.  A Combination of Novel Nucleic Acid Cross-Linking Dye and Recombinase-Aided Amplification for the Rapid Detection of Viable Salmonella in Milk.

Authors:  Xiaoyan Feng; Donggen Zhou; Bei Gan; Guoyang Xie; Hengyi Xu
Journal:  Foods       Date:  2022-08-08

8.  Development of amperometric biosensor in modified carbon paste with enzymatic preparation based on lactase immobilized on carbon nanotubes.

Authors:  Aila Riany de Brito; Nadabe Dos Santos Reis; Polyany Cabral Oliveira; Denilde Vilas Bôas Rezende; Gabriel Pereira Monteiro; Glêydison Amarante Soares; Rodrigo Sá de Jesus; Antônio Santana Santos; Luiz Carlos Salay; Julieta Rangel de Oliveira; Marcelo Franco
Journal:  J Food Sci Technol       Date:  2019-11-11       Impact factor: 2.701

9.  Semi-Quantitative Method for Streptococci Magnetic Detection in Raw Milk.

Authors:  Carla Duarte; Tiago Costa; Carla Carneiro; Rita Soares; Andrei Jitariu; Susana Cardoso; Moisés Piedade; Ricardo Bexiga; Paulo Freitas
Journal:  Biosensors (Basel)       Date:  2016-04-27

10.  QCM-based immunosensor for rapid detection of Salmonella Typhimurium in food.

Authors:  Andrea Fulgione; Martina Cimafonte; Bartolomeo Della Ventura; Marco Iannaccone; Concetta Ambrosino; Federico Capuano; Yolande Thérèse Rose Proroga; Raffaele Velotta; Rosanna Capparelli
Journal:  Sci Rep       Date:  2018-10-31       Impact factor: 4.379

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