سمپوزیوم منطقه ای نوآوری در علم و فناوری

صفحه اصلی / دومین سمپوزیوم منطقه ای نوآوری در علم و فناوری

Nanobiosensors as a Revolutionizing Technique for Diagnosing Parasitic Infection Diseases

نویسندگان :

Soheil Sadr¹ Shakiba Nazemian² Alireza Sazmand³ Cinzia Santucciu⁴ Abbas Rahdar⁵ Sadanand Pandey⁶ Hassan Borji⁷

1- Department of Pathobiology, Faculty of Veterinary Medicine, Ferdowsi University of Mashhad, Mas 2- Department of Pathobiology, Faculty of Veterinary Medicine, Ferdowsi University of Mashhad, Mas 3- Department of Pathobiology, Faculty of Veterinary Medicine, Bu-Ali Sina University, Hamedan 6517658978, Iran 4- WOAH and NRL for Echinococcosis, Animal Health, Istituto Zooprofilattico Sperimentale della Sardegna, Sassari, Italy 5- Department of Physics, University of Zabol, Zabol, Iran 6- Department of Chemistry, College of Natural Science, Yeungnam University, 280 Daehak‐Ro, Gyeongsan 38541, Korea 7- Department of Pathobiology, Faculty of Veterinary Medicine, Ferdowsi University of Mashhad, Mas

کلمات کلیدی :

Nanotechnology،Nanobiosensors،Parasites،Helminth،Protozoa

چکیده :

Abstract- Parasitic infections, including malaria, hydatid cysts, leishmaniasis, and schistosomiasis, remain a significant cause of mortality and morbidity worldwide. In addition to their severe public health impacts, parasitic diseases impose a heavy economic burden on health systems. Control and treatment of zoonotic parasitic infections depend mainly on early and accurate diagnosis. Traditional diagnostic techniques, such as microscopic examinations, immunological methods, such as enzyme-linked immunosorbent assay (ELISA), and molecular tests, such as polymerase chain reaction (PCR), are standard tools for parasite identification. However, these methods are time-consuming and expensive and rely on sophisticated equipment; however, their application has many challenges. Nanobiosensors are novel devices that use nanotechnology and biology to provide new approaches for rapid and accurate diagnosing techniques, and they can detect many biomarkers. Hence, the current review aims to introduce nanobiosensors and their types and review their specific applications in diagnosing parasitic diseases. These sensors use the unique properties of nanomaterials to detect parasite biomarkers with high sensitivity and accuracy. Nanobiosensors can directly detect parasites or their metabolic products, enabling early disease detection. In conclusion, nanobiosensors could be essential in controlling and eradicating parasitic diseases.

لیست مقالات

لیست مقالات بایگانی شده

Iranian bentonite: characteristics, challenges, and opportunities

Zahra Alaminia - Hossein Sadeghi - Mohammad Vahidinia

بهساز کیفیت توان مبتنی بر جبران‌ساز دینامیکی ولتاژ و حذف انتخابی هارمونیک جریان با استفاده از ترانسفورماتورهای شبکه توزیع

تورج ثابت فر - مجید حسین‌پور

Mineralogy of atmospheric dust and potential risk of silicosis in residents of Saleh-Abad region (NE-Iran)

Amineh Darrudi - Mohamad Hosein Mahmudy Gharaie - Masumeh Taheri - Masood Minaee

Compensation of Phase Error Using Efficient Hydrophone Array Arrangement in Synthetic Aperture Sonar

HAMID HAJIRAHIMI KASHANI - HOOMAN AFSHARI RAD - SEYED ALIREZA SEYEDIN

طراحی نیم و تمام جمع‌کننده کواترنری مبتنی بر ترانزیستورهای نانو لوله کربنی

سبحان آقامعلیزاده - جواد جاویدان

Investigating the sulfur-containing compounds separation process from natural gas using NaY zeolite, theoretically

Setareh Sinichi - Saeedeh Soheili - Ali Nakhaie pour

Evaluation of heavy metals pollution in agricultural Soil of Chenaran area in NE-Iran

Neda Sharafi - Mohamad Hosein Mahmudy Gharaie - Ali Makhdoumi - Hossein Ahmadzadeh

SEROLOGICAL AND MOLECULAR DETECTION OF HIGHLY PATHOGENIC AVIAN INFLUENZA OF LAYER HENS CIRCULATING IN DIYALA GOVERNORATE

Zainab Abd Awan Al-Talabani

Biodegradation of Deltamethrine in soil by co-culture of Pseudomonas aeruginosa and Rhodococcus pyridinivorans

Neda Sharafi - َAli Makhdoumi - Mohamad Hosein Mahmudy Gharaie - Hosein Ahmadzadeh - Zahra Khamar

Monte Carlo modelling of Siemens Artiste linac head and the 160 MLC and assessment of dose maps for IMRT and 3D-CRT plans

Hashem Miri-Hakimabad - Elie Hoseinian-Azghadi - Laleh Rafat-Motavalli - Taylan Tuğrul - Niloofar Rafat-Motavalli - Vida Khodabandeh-Baygi - Mahdieh Dayyani

بیشتر