مقالات پذیرفته شده در ششمین کنگره بین المللی زیست پزشکی
Advanced biosensors for detection of pathogens related to livestock and poultry
Advanced biosensors for detection of pathogens related to livestock and poultry
fereshteh gholami,1,*fatemeh ranjdoost,2Mohammad Mahdi Chenarian,3Fereshteh Soltani,4
1. Student Research Committee, Bushehr University of Medical Sciences, Bushehr, Iran 2. Student of Environmental Health Engineering, Faculty of Health, Qom University of Medical Sciences, Qom, Iran 3. Student research committee, Kerman University of Medical sciences, Kerman, Iran 4. Doctor of veterinary medicine student Islamic azad university of urmia
Introduction: With the growth of the world population and the development of agriculture, the prevalence of infectious diseases among livestock has expanded, which has a negative impact on public health, economy and agriculture. Conventional methods for detecting pathogens in culture and isolation from culture are very time- consuming and costly. Molecular polymerase chain reaction (PCR) methods are more sensitive. Real Time PCR (RT-PCR) is more specific, but requires sophisticated equipment. Using ELISA tests to detect virus antigens is time-consuming. As a result, the development of a reliable, rapid, accurate and sensitive diagnostic method for the identification of pathogens is of great interest to researchers. According to the above, the aim of this study was to identify some advanced biosensors for the detection of pathogens related to livestock and poultry.
Methods: In the forthcoming systematic study, the required data were collected using keywords and citing valid databases such as: Scopus PubMed, Google Scholar and ProQuest. The statistical population of the study includes all studies conducted up to 2022 in the field of Advanced biosensors for detection of pathogens related to livestock and poultry. After reviewing the relevant findings and evaluating the data quality, a total of 19 articles were analyzed.
Results: A biosensor is an analytical system that has biological detection. Factors (hormones, nucleic acids, enzymes, and cells) are fixed on the surface of a sensor that attaches to a transmitter that transmits and interprets the signal. Biosensors are made up of two parts: an element or a bioreceptor that detects the analyte in question and a transducer that produces a digital electronic signal proportional to the concentration of a particular analyte. Using a biosensor, results are achieved in a very short time.
Staphylococcus aureus is one of the deadliest bacteria. Cultivation methods are traditional and time-consuming and other nucleic acid-based methods require qualified individuals and are also expensive. Antibody-based biosensors are used for detection.
Avian Influenza Virus (AIV(: Traditional methods for virus detection Reverse transcriptase polymerase chain reaction (RT-PCR) and Enzyme-linked immunosorbent assay (ELISA) are expensive and time-consuming .New method with biosensor technology using a small gold electrode to detect H7N1 with electrochemical techniques such as impedance spectroscopy.
Escherichia coli (E. Coli) is a Gram-negative rod-shaped. This bacterium is usually harmless, but malignant strains can cause disease. Common methods for diagnosing E. coli include fermentation, culture, PCR assay, and enzyme-related immunosorbents, which have disadvantages such as reagent, cost, and length of time.
Biosensors for the detection of E. coli are biochemical detection solutions that include: surface plasmon resonance, chemical light, quartz crystal microbalance system and electrochemistry
Conclusion: In this study, some advanced biotechnological methods that detect livestock and poultry pathogens early were investigated. Pathogens weaken production systems and increase veterinary costs and economic threats. Conventional pathogen detection techniques are often time-consuming and require complex equipment. One of the key challenges in farms is the slow absorption of these technologies in commercial farms, Therefore, the economic and managerial benefits of these advanced systems must be shown to individuals. Challenges such as sample preparation, service life, and system integration that hinder the implementation of these technologies. Addressing these issues will make it possible to make greater use of these biological technologies.