Literature DB >> 22278073

Biosensors for the analysis of microbiological and chemical contaminants in food.

T F McGrath1, C T Elliott, T L Fodey.   

Abstract

Increases in food production and the ever-present threat of food contamination from microbiological and chemical sources have led the food industry and regulators to pursue rapid, inexpensive methods of analysis to safeguard the health and safety of the consumer. Although sophisticated techniques such as chromatography and spectrometry provide more accurate and conclusive results, screening tests allow a much higher throughput of samples at a lower cost and with less operator training, so larger numbers of samples can be analysed. Biosensors combine a biological recognition element (enzyme, antibody, receptor) with a transducer to produce a measurable signal proportional to the extent of interaction between the recognition element and the analyte. The different uses of the biosensing instrumentation available today are extremely varied, with food analysis as an emerging and growing application. The advantages offered by biosensors over other screening methods such as radioimmunoassay, enzyme-linked immunosorbent assay, fluorescence immunoassay and luminescence immunoassay, with respect to food analysis, include automation, improved reproducibility, speed of analysis and real-time analysis. This article will provide a brief footing in history before reviewing the latest developments in biosensor applications for analysis of food contaminants (January 2007 to December 2010), focusing on the detection of pathogens, toxins, pesticides and veterinary drug residues by biosensors, with emphasis on articles showing data in food matrices. The main areas of development common to these groups of contaminants include multiplexing, the ability to simultaneously analyse a sample for more than one contaminant and portability. Biosensors currently have an important role in food safety; further advances in the technology, reagents and sample handling will surely reinforce this position.

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Year:  2012        PMID: 22278073     DOI: 10.1007/s00216-011-5685-9

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  8 in total

Review 1.  Biosensor: an emerging safety tool for meat industry.

Authors:  Pradeep Kumar Singh; Gauri Jairath; Satyavir Singh Ahlawat; Ashok Pathera; Prashant Singh
Journal:  J Food Sci Technol       Date:  2015-09-26       Impact factor: 2.701

2.  Surface plasmon resonance biosensing: Approaches for screening and characterising antibodies for food diagnostics.

Authors:  B J Yakes; J Buijs; C T Elliott; K Campbell
Journal:  Talanta       Date:  2016-05-03       Impact factor: 6.057

3.  Transforming microbial genotyping: a robotic pipeline for genotyping bacterial strains.

Authors:  Brian O'Farrell; Jana K Haase; Vimalkumar Velayudhan; Ronan A Murphy; Mark Achtman
Journal:  PLoS One       Date:  2012-10-29       Impact factor: 3.240

4.  Drug-Based Gold Nanoparticles Overgrowth for Enhanced SPR Biosensing of Doxycycline.

Authors:  Syed Akif Raza Kazmi; Muhammad Zahid Qureshi; Jean-Francois Masson
Journal:  Biosensors (Basel)       Date:  2020-11-19

5.  Monolithically integrated broad-band Mach-Zehnder interferometers for highly sensitive label-free detection of biomolecules through dual polarization optics.

Authors:  A Psarouli; A Salapatas; A Botsialas; P S Petrou; I Raptis; E Makarona; G Jobst; K Tukkiniemi; M Sopanen; R Stoffer; S E Kakabakos; K Misiakos
Journal:  Sci Rep       Date:  2015-12-02       Impact factor: 4.379

6.  Retention of halogenated solutes on stationary phases containing heavy atoms.

Authors:  Toshio Miwa; Atsushi Yamamoto; Mitsuru Saito; Yoshinori Inoue
Journal:  Molecules       Date:  2013-05-06       Impact factor: 4.411

Review 7.  Two-Dimensional Layered Nanomaterial-Based Electrochemical Biosensors for Detecting Microbial Toxins.

Authors:  Zhuheng Li; Xiaotong Li; Minghong Jian; Girma Selale Geleta; Zhenxin Wang
Journal:  Toxins (Basel)       Date:  2019-12-31       Impact factor: 4.546

8.  Optimization of T4 phage engineering via CRISPR/Cas9.

Authors:  Michelle M Duong; Caitlin M Carmody; Qinqin Ma; Joseph E Peters; Sam R Nugen
Journal:  Sci Rep       Date:  2020-10-26       Impact factor: 4.379

  8 in total

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