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Anicet R. Blanch
Researcher at University of Barcelona
Publications - 154
Citations - 6950
Anicet R. Blanch is an academic researcher from University of Barcelona. The author has contributed to research in topics: Sewage & Fecal coliform. The author has an hindex of 44, co-authored 148 publications receiving 6269 citations.
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Journal ArticleDOI
A set of keys for biochemical identification of environmental Vibrio species
M. Alsina,Anicet R. Blanch +1 more
TL;DR: A set of biochemical keys which provide fast and presumptive identification for Vibrio spp.
Journal ArticleDOI
Identification of Enterococcus spp. with a Biochemical Key
Albert Manero,Anicet R. Blanch +1 more
TL;DR: A six-step biochemical key for the identification of all recognized Enterococcus spp.
Journal ArticleDOI
Extended-spectrum β-lactamase-producing Enterobacteriaceae in different environments (humans, food, animal farms and sewage)
Raul Jesús Mesa,Vanessa Blanc,Anicet R. Blanch,Pilar Cortés,Juan José Ramos González,S. Lavilla,Elisenda Miró,Maite Muniesa,Montserrat Saco,Ma Teresa Tórtola,Beatriz Mirelis,Pere Coll,Montserrat Llagostera,Guillem Prats,Ferran Navarro +14 more
TL;DR: This widespread occurrence of ESBL-producing Enterobacteriaceae suggests that the community could act as a reservoir and that food could contribute to the spread of these strains.
Journal ArticleDOI
Description of Bacillus toyonensis sp. nov., a novel species of the Bacillus cereus group, and pairwise genome comparisons of the species of the group by means of ANI calculations
Guillermo Jiménez,Mercedes Urdiain,Ana Cifuentes,Aránzazu López-López,Anicet R. Blanch,Javier Tamames,Peter Kämpfer,Anne-Brit Kolstø,Daniel Ramón,Juan F. Martínez,Francisco M. Codoñer,Ramon Rosselló-Móra +11 more
TL;DR: The polyphasic taxonomic study presented here provides sufficient discriminative parameters to classify BCT-7112(T) as a new species for which the name Bacillus toyonensis sp.
Journal ArticleDOI
Integrated analysis of established and novel microbial and chemical methods for microbial source tracking.
Anicet R. Blanch,Lluís A. Belanche-Muñoz,Xavier Bonjoch,James Ebdon,Christophe Gantzer,Francisco Lucena,Jakob Ottoson,Christos Kourtis,Aina Iversen,Inger Kühn,Laura Moce,Maite Muniesa,J. Schwartzbrod,Sylvain Skraber,Georgios T. Papageorgiou,Huw Taylor,J.L. Wallis,Joan Jofre +17 more
TL;DR: Several statistical or machine learning methods were evaluated and provided two successful predictive models based on just two variables, giving 100% correct classification: the ratio of the densities of somatic coliphages and phages infecting Bacteroides thetaiotaomicron to the density of somatics coliphage and the ratio