Literature DB >> 10508079

Registered designation of origin areas of fermented food products defined by microbial phenotypes and artificial neural networks.

M F Lopes1, C I Pereira, F M Rodrigues, M P Martins, M C Mimoso, T C Barros, J J Figueiredo Marques, R P Tenreiro, J S Almeida, M T Barreto Crespo.   

Abstract

Cheese produced from raw ewes' milk and chouriço, a Portuguese dry fermented sausage, are still produced in a traditional way in certain regions of Portugal by relying on colonization by microbial populations associated with the raw materials, equipment, and local environments. For the purpose of describing the product origins and types of these fermented foods, metabolic phenotypes can be used as descriptors of the product as well as to determine the presence of compounds with organoleptic value. The application of artificial neural networks to the metabolic profiles of bacterial isolates was assayed and allowed the separation of products from different regions. This method could then be used for the Registered Designation of Origin certification process of food products. Therefore, besides test panel results for these traditionally produced food products, another tool for validating products for the marketplace is available to the producers. The method can be improved for the detection of counterfeit products.

Mesh:

Year:  1999        PMID: 10508079      PMCID: PMC91597          DOI: 10.1128/AEM.65.10.4484-4489.1999

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  7 in total

1.  A classification of micrococci and staphylococci based on physiological and biochemical tests.

Authors:  A C BAIRD-PARKER
Journal:  J Gen Microbiol       Date:  1963-03

2.  How neural networks learn from experience.

Authors:  G E Hinton
Journal:  Sci Am       Date:  1992-09       Impact factor: 2.142

Review 3.  Bacterial plasmids and gene flux.

Authors:  C F Amábile-Cuevas; M E Chicurel
Journal:  Cell       Date:  1992-07-24       Impact factor: 41.582

Review 4.  Genetic barriers among bacteria.

Authors:  I Matic; F Taddei; M Radman
Journal:  Trends Microbiol       Date:  1996-02       Impact factor: 17.079

5.  Nonstaining (KOH) method for determination of gram reactions of marine bacteria.

Authors:  J D Buck
Journal:  Appl Environ Microbiol       Date:  1982-10       Impact factor: 4.792

6.  An ecological study of lactococci isolated from raw milk in the camembert cheese registered designation of origin area.

Authors:  D Corroler; I Mangin; N Desmasures; M Gueguen
Journal:  Appl Environ Microbiol       Date:  1998-12       Impact factor: 4.792

7.  Characterization of lactococci isolated from milk produced in the Camembert region of Normandy.

Authors:  N Desmasures; I Mangin; D Corroler; M Guéguen
Journal:  J Appl Microbiol       Date:  1998-12       Impact factor: 3.772

  7 in total
  5 in total

1.  Use of artificial neural networks and a gamma-concept-based approach to model growth of and bacteriocin production by Streptococcus macedonicus ACA-DC 198 under simulated conditions of Kasseri cheese production.

Authors:  Panayiota Poirazi; Frédéric Leroy; Marina D Georgalaki; Anastassios Aktypis; Luc De Vuyst; Effie Tsakalidou
Journal:  Appl Environ Microbiol       Date:  2006-12-08       Impact factor: 4.792

2.  The incongruent gelatinase genotype and phenotype in Enterococcus faecalis are due to shutting off the ability to respond to the gelatinase biosynthesis-activating pheromone (GBAP) quorum-sensing signal.

Authors:  Neuza Teixeira; Sofia Santos; Paulo Marujo; Ryoji Yokohata; Vijayalakshmi S Iyer; Jiro Nakayama; Lynn E Hancock; Pascale Serror; Maria de Fátima Silva Lopes
Journal:  Microbiology       Date:  2011-11-24       Impact factor: 2.777

3.  Comparison of statistical methods for identification of Streptococcus thermophilus, Enterococcus faecalis, and Enterococcus faecium from randomly amplified polymorphic DNA patterns.

Authors:  G Moschetti; G Blaiotta; F Villani; S Coppola; E Parente
Journal:  Appl Environ Microbiol       Date:  2001-05       Impact factor: 4.792

4.  Comparative study using type strains and clinical and food isolates to examine hemolytic activity and occurrence of the cyl operon in enterococci.

Authors:  Teresa Semedo; Margarida Almeida Santos; Paula Martins; Maria Fátima Silva Lopes; José J Figueiredo Marques; Rogério Tenreiro; Maria Teresa Barreto Crespo
Journal:  J Clin Microbiol       Date:  2003-06       Impact factor: 5.948

5.  Lactobacillus panisapium sp. nov., from honeybee Apis cerana bee bread.

Authors:  Cong Wang; Yan Huang; Li Li; Jun Guo; Zhengyun Wu; Yu Deng; Lirong Dai; Shichun Ma
Journal:  Int J Syst Evol Microbiol       Date:  2018-01-10       Impact factor: 2.747

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.