Literature DB >> 23279818

Prevalence of bacteria resistant to antibiotics and/or biocides on meat processing plant surfaces throughout meat chain production.

Leyre Lavilla Lerma1, Nabil Benomar, Antonio Gálvez, Hikmate Abriouel.   

Abstract

In order to investigate the prevalence of resistant bacteria to biocides and/or antibiotics throughout meat chain production from sacrifice till end of production line, samples from various surfaces of a goat and lamb slaughterhouse representative of the region were analyzed by the culture dependent approach. Resistant Psychrotrophs (n=255 strains), Pseudomonas sp. (n=166 strains), E. coli (n=23 strains), Staphylococcus sp. (n=17 strains) and LAB (n=82 represented mainly by Lactobacillus sp.) were isolated. Resistant psychrotrophs and pseudomonads (47 and 29%, respectively) to different antimicrobials were frequently detected in almost all areas of meat processing plant regardless the antimicrobial used, although there was a clear shift in the spectrum of other bacterial groups and for this aim such resistance was determined according to several parameters: antimicrobial tested, sampling zone and the bacterial group. Correlation of different parameters was done using a statistical tool "Principal component analysis" (PCA) which determined that quaternary ammonium compounds and hexadecylpyridinium were the most relevant biocides for resistance in Pseudomonas sp., while ciprofloxacin and hexachlorophene were more relevant for psychrotrophs, LAB, and in lesser extent Staphylococcus sp. and Escherichia coli. On the other hand, PCA of sampling zones determined that sacrifice room (SR) and cutting room (CR) considered as main source of antibiotic and/or biocide resistant bacteria showed an opposite behaviour concerning relevance of antimicrobials to determine resistance being hexadecylpyridinium, cetrimide and chlorhexidine the most relevant in CR, while hexachlorophene, oxonia 6P and PHMG the most relevant in SR. In conclusion, rotational use of the relevant biocides as disinfectants in CR and SR is recommended in an environment which is frequently disinfected.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23279818     DOI: 10.1016/j.ijfoodmicro.2012.11.028

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  6 in total

1.  Antibiotic multiresistance analysis of mesophilic and psychrotrophic Pseudomonas spp. isolated from goat and lamb slaughterhouse surfaces throughout the meat production process.

Authors:  Leyre Lavilla Lerma; Nabil Benomar; María del Carmen Casado Muñoz; Antonio Gálvez; Hikmate Abriouel
Journal:  Appl Environ Microbiol       Date:  2014-08-29       Impact factor: 4.792

2.  Diversity, distribution and quantification of antibiotic resistance genes in goat and lamb slaughterhouse surfaces and meat products.

Authors:  Leyre Lavilla Lerma; Nabil Benomar; Charles W Knapp; David Correa Galeote; Antonio Gálvez; Hikmate Abriouel
Journal:  PLoS One       Date:  2014-12-05       Impact factor: 3.240

3.  Adaptation response of Pseudomonas fragi on refrigerated solid matrix to a moderate electric field.

Authors:  Wenbo Chen; Honghai Hu; Chunjiang Zhang; Feng Huang; Dequan Zhang; Hong Zhang
Journal:  BMC Microbiol       Date:  2017-02-10       Impact factor: 3.605

4.  Occurrence of disinfectant-resistant bacteria in a fresh-cut vegetables processing facility and their role in protecting Salmonella enteritidis.

Authors:  Jing-Guo Xu; Jiao Meng; Wen-Jing Bao; Jia-Mu Kang; Jing-Yu Chen; Bei-Zhong Han
Journal:  RSC Adv       Date:  2021-03-10       Impact factor: 3.361

Review 5.  Assessing the risk of resistance to cationic biocides incorporating realism-based and biophysical approaches.

Authors:  Laura J Fox; Paul P Kelly; Gavin J Humphreys; Thomas A Waigh; Jian R Lu; Andrew J McBain
Journal:  J Ind Microbiol Biotechnol       Date:  2022-01-20       Impact factor: 4.258

6.  Deciphering Resistome and Virulome Diversity in a Porcine Slaughterhouse and Pork Products Through Its Production Chain.

Authors:  Guillermo Campos Calero; Natacha Caballero Gómez; Nabil Benomar; Beatriz Pérez Montoro; Charles W Knapp; Antonio Gálvez; Hikmate Abriouel
Journal:  Front Microbiol       Date:  2018-09-12       Impact factor: 5.640

  6 in total

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