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We expect that this powerful platform technology will provide the opportunities for point-of-care diagnosis in resource-limited settings.Parkinson Disease (PD) is the second-most common neurodegenerative disorder in the population. Recent researches indicated that hsa-microRNA 5010-3p (miR-5010) and hsa-microRNA 331-5p (miR-331) were significantly important for the detection of PD. So, in this work, a kind of high fluorescence quenching probe-based reverse fluorescence enhancement lateral flow test strip (rLFTS) was constructed to realize the synchronous detection of miR-5010 and miR-331. The formation of black hole quencher 2 (BHQ2) coating gold nanoparticles (AuNPs) effectively enhanced the fluorescence quenching property of the probes so as to significantly improve the detection sensitivity. This rLFTS also coupled with "invading stacking primer" (IS-primer) isothermal amplification reaction (ISAR) to accomplish rapid, sensitive, specific, and synchronous detection of PD-associated microRNA (miRNA). Selleckchem Bcl-2 inhibitor The whole detection time was shorter (35 min), and the limit-of-detection (LOD) reached to fM level. For the high accuracy diagnosis of PD, the synchronous determination of miR-5010 and miR-331 was successfully realized on one rLFTS by labeling fluorescent molecules to different T-line. This rLFTS also allowed for miRNA detection in total microRNA extracts from whole blood samples of PD patients, which performed important value in PD diagnosis and biomedical research.Infectious diseases caused by pathogenic bacteria, especially antibiotic-resistant bacteria, are one of the biggest threats to global health. To date, bacterial contamination is detected using conventional culturing techniques, which are highly dependent on expert users, limited by the processing time and on-site availability. Hence, real-time and continuous monitoring of pathogen levels is required to obtain valuable information that could assist health agencies in guiding prevention and containment of pathogen-related outbreaks. Nanotechnology-based smart sensors are opening new avenues for early and rapid detection of such pathogens at the patient's point-of-care. Nanomaterials can play an essential role in bacterial sensing owing to their unique optical, magnetic, and electrical properties. Carbon nanoparticles, metallic nanoparticles, metal oxide nanoparticles, and various types of nanocomposites are examples of smart nanomaterials that have drawn intense attention in the field of microbial detection. These approaches, together with the advent of modern technologies and coupled with machine learning and wireless communication, represent the future trend in the diagnosis of infectious diseases. This review provides an overview of the recent advancements in the successful harnessing of different nanoparticles for bacterial detection. In the beginning, we have introduced the fundamental concepts and mechanisms behind the design and strategies of the nanoparticles-based diagnostic platform. Representative research efforts are highlighted for in vitro and in vivo detection of bacteria. A comprehensive discussion is then presented to cover the most commonly adopted techniques for bacterial identification, including some seminal studies to detect bacteria at the single-cell level. Finally, we discuss the current challenges and a prospective outlook on the field, together with the recommended solutions.Automated insulin delivery systems for people with type 1 diabetes rely on an accurate subcutaneous glucose sensor and an infusion cannula that delivers insulin in response to measured glucose. Integrating the sensor with the infusion cannula would provide substantial benefit by reducing the number of devices inserted into subcutaneous tissue. We describe the sensor chemistry and a calibration algorithm to minimize impact of insulin delivery artifacts in a new glucose sensing cannula. Seven people with type 1 diabetes undergoing automated insulin delivery used two sensing cannulae whereby one delivered a rapidly-acting insulin analog and the other delivered a control phosphate buffered saline (PBS) solution with no insulin. While there was a small artifact in both conditions that increased for larger volumes, there was no difference between the artifacts in the sensing cannula delivering insulin compared with the sensing cannula delivering PBS as determined by integrating the area-under-the-curve of the sensor values following delivery of larger amounts of fluid (P = 0.7). The time for the sensor to recover from the artifact was found to be longer for larger fluid amounts compared with smaller fluid amounts (10.3 ± 8.5 min vs. 41.2 ± 78.3 s, P less then 0.05). Using a smart-sampling Kalman filtering smoothing algorithm improved sensor accuracy. When using an all-point calibration on all sensors, the smart-sampling Kalman filter reduced the mean absolute relative difference from 10.9% to 9.5% and resulted in 96.7% of the data points falling within the A and B regions of the Clarke error grid. Despite a small artifact, which is likely due to dilution by fluid delivery, it is possible to continuously measure glucose in a cannula that simultaneously delivers insulin.The COVID-19 pandemic caused by the SARS-CoV-2 has recently emerged as a serious jolt to human life and economy. Initial knowledge established pulmonary complications as the chief symptom, however, the neurological aspect of the disease is also becoming increasingly evident. Emerging reports of encephalopathies and similar ailments with the detection of the virus in the CSF has elicited an urgent need for investigating the possibility of neuroinvasiveness of the virus, which cannot be ruled out given the expression of low levels of ACE2 receptors in the brain. Sensory impairments of the olfactory and gustatory systems have also been reported in a large proportion of the cases, indicating the involvement of the peripheral nervous system. Hence, the possibility of neurological damage caused by the virus demands immediate attention and investigation of the mechanisms involved, so as to customize the treatment of patients presenting with neurological complications.