Misuse of antibiotics has recently been considered a global issue because of its harmful effects on human health. Since conventional methods have numerous limitations, it is necessary to develop fast, simple, sensitive, and reproducible methods for the detection of antibiotics. Among numerous recently developed methods, aptasensors are fascinating because of their good specificity, sensitivity and selectivity. These kinds of biosensors combining aptamer with colorimetric applications of gold nanoparticles to recognize small molecules are becoming more popular owing to their advantageous features, for example, low cost, ease of use, on-site analysis ability using naked eye and no prerequisite for modern equipment. In this review, we have highlighted the recent advances and working principle of gold nanoparticles based colorimetric aptasensors as promising methods for antibiotics detection in different food and environmental samples (2011–2020). Furthermore, possible advantages and disadvantages have also been summarized for these methods. Finally, the recent challenges, outlook, and promising future perspectives for developing novel aptasensors are also considered.

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Cancer is a life-threatening concern worldwide. Sensitive and early-stage diagnostics of different cancer types can make it possible for patients to get through the best available treatment options to combat this menace. Among several new detection methods, aptamer-based biosensors (aptasensors) have recently shown promising results in terms of sensitivity, identification, or detection of either cancerous cells or the associated biomarkers. In this mini-review, we have summarized the most recent (2016–2020) developments in different approaches belonging to optical aptasensor technologies being widely employed for their simple operation, sensitivity, and early cancer diagnostics. Finally, we shed some light on limitations, advantages, and current challenges of aptasensors in clinical diagnostics, and we elaborated on some future perspectives.

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The COVID-19 pandemic, caused by a new coronavirus, has affected economic and social standards as governments and healthcare regulatory agencies throughout the world expressed worry and explored harsh preventative measures to counteract the disease’s spread and intensity. Several academics and experts are primarily concerned with halting the continuous spread of the unique virus. Social separation, the closing of borders, the avoidance of big gatherings, contactless transit, and quarantine are important methods. Multiple nations employ autonomous, digital, wireless, and other promising technologies to tackle this coronary pneumonia. This research examines a number of potential technologies, including unmanned aerial vehicles (UAVs), artificial intelligence (AI), blockchain, deep learning (DL), the Internet of Things (IoT), edge computing, and virtual reality (VR), in an effort to mitigate the danger of COVID-19. Due to their ability to transport food and medical supplies to a specific location, UAVs are currently being utilized as an innovative method to combat this illness. This research intends to examine the possibilities of UAVs in the context of the COVID-19 pandemic from several angles. UAVs offer intriguing options for delivering medical supplies, spraying disinfectants, broadcasting communications, conducting surveillance, inspecting, and screening patients for infection. This article examines the use of drones in healthcare as well as the advantages and disadvantages of strict adoption. Finally, challenges, opportunities, and future work are discussed to assist in adopting drone technology to tackle COVID-19-like diseases.

Uncontrolled prevalence of hepatitis B and C virus infections is known to be a global health problem. Many cases are undiagnosed yet. So, this study focusses on the undiagnosed existence of viral infection of hepatitis B (HBV) and Hepatitis C infection (HCV) in hospitalized patients and outdoor attendees to draw a more accurate picture of the prevalence of HBV and HCV. A cross-sectional observational study at Benazir Bhutto hospital Rawalpindi Pakistan continued for seven months and included hospitalized patients and outdoor attendees. Venous blood collected from 2003 subjects and processed to investigate infection by ELISA. We observed the overall prevalence of HBV was 2.6% and HCV was 10.98%. Further 4.2% was the highest infection rate of HBV in patients of Surgery and Medicine and the lowest in Orthopedics, Urology, Gynecology and Obstetrics, Pediatrics, Intensive Care Unit, Ear Throat and Nose, Eye>0.001%. We found the highest rate of HCV infection was in Medicine 22.90% and the lowest was in Pediatrics>0.001%. For the age, the HBV infection was found to be 4.55% the most prevalent in the age range of 61-75 and the lowest>0.001% in 76-90 years. Age group 46-60 years showed the highest 19.07% and 16-30 years the lowest 6.44% prevalence of HCV infection. Observed HBV-positive participants were 60.78% males and 39.22% females. While among the participants, males contributed 50.90% H C Virus infections and females contributed 49.10% infections. Although undiagnosed but prevalence of hepatitis B and C virus infection is very high. Therefore, some effective strategies should be implemented.