Regional Symposium on Innovation in science and technology

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Nanobiosensors as a Revolutionizing Technique for Diagnosing Parasitic Infection Diseases

Authors :

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

Keywords :

Nanotechnology،Nanobiosensors،Parasites،Helminth،Protozoa

Abstract :

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.

Papers List

List of archived papers

تشخیص فعالیت ماهیگیری تاریک با استفاده از تصاویر رادار روزنه مصنوعی (SAR) و با استفاده از برجستگی

سیدسجاد شمسی زاده - هومن افشاری‌راد - سیدعلیرضا سیدین

Study the drinking and irrigation water quality in a dam basin; case study, Shirin Darreh dam, NE Iran

Maryam Tajbakhshian - Mohammad Hossein Mahmudy Gharaei - Abolfazl Mosaedi - Reza Moussavi Harami

Assessment of water quality for drinking purposes in Kouhe-Sefide-Sofla area (NE Iran)

Ali Esmaeili - Masoumeh Taheri - Mohammad Hossein Mahmoudi Gharaie

Nanobiosensors: Novel Tools for Accurate Detection of Zoonotic Pathogenic Bacteria and Improving Global Health

Marziyeh Tavakolizadeh - Soheil Sadr - Abbas Rahdar - Sadanand Pandey

Human health risk assessment of atmospheric dust in Dargaz area NE-Iran

Faeze Khodaverdizade - Mohammad Hosein Mahmudy Gharaie - Roozbeh Shad - Hossein Sadeghi

Nanobiosensors as a Revolutionizing Technique for Diagnosing Parasitic Infection Diseases

Soheil Sadr - Shakiba Nazemian - Alireza Sazmand - Cinzia Santucciu - Abbas Rahdar - Sadanand Pandey - Hassan Borji

A Whole-cell amperometric biosensor based on green microalgal enzyme for water pollution monitoring

Sima Iravani - Hossein Ahmadzadeh - Halimeh-sadat Sajjadizadeh - Gholamhossein Rounaghi

پتانسیل یابی آب زیرزمینی کارستی با استفاده از مدل یادگیری ماشین

حسین محمد زاده - جعفر هاشمی - حمید قالیباف محمد آبادی

مقیاس پذیری و عملکرد فت نانوصفحه دو سیم باگیت همه جانبه در الکترونیک نسل بعدی

Reza Abbasnezhad - Hassan Rasooli - Rezs Hosseini - Aliasghar Sedghi - Ali Vahedi

Combining Machine Learning and Nanobiosensors for Improving Lung Cancer Detection

Shakiba Nazemian - Soheil Sadr - Ashkan Hajjafari - Khashayar Hajjafari - Abbas Rahdar - Mahdis Khajehmohammadi - Hassan Borji