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1.
Application of quantitative real-time PCR compared to filtration methods for the enumeration of Escherichia coli in surface waters within Vietnam.
J Water Health
; 15(1): 155-162, 2017 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-28151448
2.
Fecal contamination in irrigation water and microbial quality of vegetable primary production in urban farms of Metro Manila, Philippines.
J Environ Sci Health B
; 50(10): 734-43, 2015.
Artículo
en Inglés
| MEDLINE | ID: mdl-26273758
3.
Microbiological quality of fresh produce from open air markets and supermarkets in the Philippines.
ScientificWorldJournal
; 2014: 219534, 2014.
Artículo
en Inglés
| MEDLINE | ID: mdl-24963502
4.
Fatty acid modulation of autoinducer (AI-2) influenced growth and macrophage invasion by Salmonella Typhimurium.
Foodborne Pathog Dis
; 9(3): 211-7, 2012 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-22217010
5.
Antimicrobial Susceptibility and Frequency of bla and qnr Genes in Salmonella enterica Isolated from Slaughtered Pigs.
Antibiotics (Basel)
; 10(12)2021 Nov 24.
Artículo
en Inglés
| MEDLINE | ID: mdl-34943653
6.
PCR-based detection and serovar identification of Salmonella in retail meat collected from wet markets in Metro Manila, Philippines.
PLoS One
; 15(9): e0239457, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-32997676
7.
Quantitative microbial risk assessment of Cryptosporidium in bivalve samples from Manila Bay, Philippines
Ann Parasitol
; 65(4): 315-320, 2019.
Artículo
en Inglés
| MEDLINE | ID: mdl-32191418
8.
Differential expression of virulence-related genes in A Salmonella enterica serotype typhimurium luxS mutant in response to autoinducer AI-2 and poultry meat-derived AI-2 inhibitor.
Foodborne Pathog Dis
; 4(1): 5-15, 2007.
Artículo
en Inglés
| MEDLINE | ID: mdl-17378703
9.
Use of artificial neural networks to accurately identify Cryptosporidium oocyst and Giardia cyst images.
Appl Environ Microbiol
; 71(1): 80-4, 2005 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-15640173
10.
Identification of Cryptosporidium parvum oocysts by an artificial neural network approach.
Appl Environ Microbiol
; 68(3): 1115-21, 2002 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-11872458
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