scholarly journals Detection and quantification of Streptococcus pneumoniae from Iranian patients with pneumonia and individual carriers by real time PCR

2011 ◽  
Vol 10 (60) ◽  
pp. 12826-12832 ◽  
Author(s):  
Nomanpour Bizhan ◽  
Ghodousi Arash ◽  
Babaei Toraj ◽  
AliJavad Mousavi Seyd ◽  
Asadi Soroor ◽  
...  
Keyword(s):  
Streptococcus Pneumoniae ◽  
Real Time ◽  
Real Time Pcr ◽  
Iranian Patients ◽  
Detection And Quantification

Detection of Streptococcus pneumoniae in Sputum Samples by Real- Time PCR.

2020 ◽  
Vol 18 ◽  
Author(s):  
Pegah Shakib ◽  
Mohammad Reza Zolfaghari
Keyword(s):  
Streptococcus Pneumoniae ◽  
Real Time ◽  
Real Time Pcr ◽  
False Negative ◽  
Cross Sectional Study ◽  
Laboratory Culture ◽  
Cross Sectional ◽  
Negative Results ◽  
False Negative Results ◽  
Pcr Method

Background: Conventional laboratory culture-based methods for diagnosis of Streptococcus pneumoniae are time-consuming and yield false negative results. Molecular methods including real-time (RT)-PCR rapid methods and conventional PCR due to higher sensitivity and accuracy have been replaced instead traditional culture assay. The aim of the current study was to evaluate lytA gene for detection of Streptococcus pneumoniae in the cerebrospinal fluid of human patients with meningitis using real-time PCR assay. Material and Methods: In this cross-sectional study, a total of 30 clinical specimens were collected from patients in a period from September to December 2018. In order to evaluate the presence of lytA gene, conventional and real-time PCR methods were used without culture. Results: From 30 sputum samples five (16.66%) isolates were identified as S. pneumoniae by lytA PCR and sequencing. Discussion: In this research, an accurate and rapid real-time PCR method was used, which is based on lytA gene for diagnosis of bacteria so that it can be diagnosed. Based on the sequencing results, the sensitivity for detection of lytA gene was 100% (5/5).

Identification of Streptococcus pneumoniae lytA , plyA and psaA genes in pleural fluid by multiplex real-time PCR

2018 ◽  
Vol 36 (7) ◽  
pp. 428-430 ◽  
Author(s):  
Juan Carlos Sanz ◽  
Esther Ríos ◽  
Iciar Rodríguez-Avial ◽  
Belén Ramos ◽  
Mercedes Marín ◽  
...  
Keyword(s):  
Streptococcus Pneumoniae ◽  
Real Time ◽  
Pleural Fluid ◽  
Real Time Pcr

scholarly journals Detection of Peanut Allergen Traces with a Real Time PCR Assay - The Challenge to Protect Food-Allergic Consumers

2017 ◽  
Vol 7 (1) ◽  
pp. 32 ◽  
Author(s):  
Dimitra Houhoula ◽  
Stamatios Koussissis ◽  
Vladimiros Lougovois ◽  
John Tsaknis ◽  
Dimitra Kassavita ◽  
...  
Keyword(s):  
Real Time ◽  
Real Time Pcr ◽  
Rapid Detection ◽  
Food Products ◽  
Molecular Techniques ◽  
Food Allergens ◽  
Pcr Assay ◽  
Peanut Allergen ◽  
Pcr Method ◽  
Detection And Quantification

The aim of the present study was the implementation of molecular techniques in the detection and quantification of allergic substances of peanut in various kinds of food products, e.g., breakfast cereals, chocolates and biscuits that are frequently related to allergies. In some cases, the presence of peanuts can be due to contamination during production and are not declared on the label. A total of 152 samples were collected from supermarkets and were analysed by a Real Time PCR method. The results indicated that 125 samples (83,3%) were found positive in peanut traces but the most important finding is that from the 84 samples that had no allergen declaration for peanuts, 48 (57,1%) of them were found positive. In conclusion, Real Time PCR can be a very important tool for the rapid detection and quantification of food allergens.

Detection and Quantification of Human Adenoviruses in Surface Waters by Nested PCR, TaqMan Real-Time PCR and Cell Culture Assays

2007 ◽  
Vol 191 (1-4) ◽  
pp. 83-93 ◽  
Author(s):  
M. Muscillo ◽  
M. Pourshaban ◽  
M. Iaconelli ◽  
S. Fontana ◽  
A. Di Grazia ◽  
...  
Keyword(s):  
Cell Culture ◽  
Real Time ◽  
Surface Waters ◽  
Real Time Pcr ◽  
Nested Pcr ◽  
Human Adenoviruses ◽  
Detection And Quantification
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