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271845

Evaluation of Detection Tool for Some Bacterial Pathogens from Chicken Meat Production Line

Article

Last updated: 22 Jan 2023

Subjects

-

Tags

Food Safety and Hygiene

Abstract

foodborne microorganisms can trigger severe outbreaks. Rapid detection is essential for preventing the spread of disease before it causes an outbreak. This study investigates various laboratory techniques, including conventional detection, immunoassay using VIDAS, and automated identification systems using BD Phoenix M50. It targets the four most prevalent foodborne pathogens: Staphylococcus aureus, Shigella spp., and Salmonella spp., along with Campylobacter spp., by analyzing 174 samples of poultry. The SPSS statistical analysis system was used for every study. Staphylococcus aureus was found in 20.7% of samples using conventional detection and automated system, whereas it was presented in 25.3% of samples using the immunoassay technique. For Shigella spp. Shigella flexneri was identified by Phoenix M50 in 4% of samples similarly it was detected using conventional methods. In contrast, 33.3% of Salmonella spp. were detected using VIDAS, 28.7% were detected using the conventional method, 70% were confirmed to be Salmonella enterica, and 30% were confirmed to be other Salmonella spp. For Campylobacter spp. Campylobacter jejuni was identified in 9.8% of samples by conventional detection and 29.3% by immunoassay. The turn-around time for Shigella and Salmonella spp. was decreased by BD Phoenix M50 in comparison to conventional methods, whereas it was shorter for Staphylococcus aureus detection using a conventional method.

DOI

10.21608/bnni.2022.271845

Keywords

Conventional detection, Poultry slaughterhouse, Staphylococcus, Salmonella, Shigella, Campylobacter

Authors

First Name

Bassem

Last Name

Hamdy

MiddleName

A

Affiliation

1- United States Naval Medical Research Unit-3

Email

-

City

Cairo

Orcid

-

First Name

Mayar

Last Name

Said

MiddleName

M

Affiliation

United States Naval Medical Research Unit-3

Email

-

City

Cairo

Orcid

-

First Name

Hamdy

Last Name

Ebeid

MiddleName

M

Affiliation

Food Science Department, Faculty of Agriculture, Ain Shams University

Email

-

City

Cairo

Orcid

-

First Name

Mohamed

Last Name

El-Nawawy

MiddleName

A

Affiliation

Food Science Department, Faculty of Agriculture, Ain Shams University

Email

-

City

Cairo

Orcid

-

Volume

60

Article Issue

2

Related Issue

36271

Issue Date

2022-12-01

Receive Date

2022-11-30

Publish Date

2022-12-01

Page Start

82

Page End

96

Print ISSN

1110-0974

Online ISSN

2537-0987

Link

https://bnni.journals.ekb.eg/article_271845.html

Detail API

https://bnni.journals.ekb.eg/service?article_code=271845

Order

271,845

Type

Original Article

Type Code

442

Publication Type

Journal

Publication Title

Bulletin of the National Nutrition Institute of the Arab Republic of Egypt

Publication Link

https://bnni.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023