The development of a sensing system for amphetamine (AMP), N-formyl amphetamine (NFA), and benzyl methyl ketone (BMK) in sewage is a strict requirement for enabling the on-site detection and tracing of the consumption of AMP, and the production and/or transportation of these target analytes. The present research is therefore devoted to the development of an on-site capacitive sensing system, based on molecularly imprinted polymers (MIPs) as recognition elements. To this end, the commercially available CapSenze capacitive sensor system was miniaturized by implementing an application-specific integrated circuit (ASIC), dedicated to the bias and read-out of the chemical sensor. MIPs towards AMP were purchased, whereas the ones towards NFA and BMK were synthesized in house. Gold transducers, consisting of six working electrodes with their corresponding reference electrodes and one common auxiliary electrode, were designed together with a flow cell to enable analyses. The applied water samples were filtered through a 20 micron filter before application in the sensors' flow cell. The limits of detection in filtered sewage water were determined to be 25 μM for NFA and BMK and 50 μM for AMP. The overall performance of the sensing system was tested by analysis of blind-coded sewage samples, provided by legal authorities.  https://www.selleckchem.com/products/Nolvadex.html  To the best of our knowledge, this is the first research presenting multiplex MIP-based detection of amphetamine synthesis markers using a capacitive sensor, miniaturized via ASIC technology. The presented technique is undoubtedly a potential solution for any analysis requiring constant reliable on-site monitoring of a substance of interest.Recent progress in biosensors have quantitively expanded current capabilities in exploratory research tools, diagnostics and therapeutics. This rapid pace in sensor development has been accentuated by vast improvements in data analysis methods in the form of machine learning and artificial intelligence that, together, promise fantastic opportunities in chronic sensing of biosignals to enable preventative screening, automated diagnosis, and tools for personalized treatment strategies. At the same time, the importance of widely accessible personal monitoring has become evident by recent events such as the COVID-19 pandemic. Progress in fully integrated and chronic sensing solutions is therefore increasingly important. Chronic operation, however, is not truly possible with tethered approaches or bulky, battery-powered systems that require frequent user interaction. A solution for this integration challenge is offered by wireless and battery-free platforms that enable continuous collection of biosignals. This review summarizes current approaches to realize such device architectures and discusses their building blocks. Specifically, power supplies, wireless communication methods and compatible sensing modalities in the context of most prevalent implementations in target organ systems. Additionally, we highlight examples of current embodiments that quantitively expand sensing capabilities because of their use of wireless and battery-free architectures.SARS-CoV-2 genetic material is detectable in the faeces of a considerable part of COVID-19 cases and hence, in municipal wastewater. This fact was confirmed early during the spread of the COVID-19 pandemic and prompted several studies that proposed monitoring its incidence by wastewater. This paper studies the fate of SARS-CoV-2 genetic material in wastewater treatment plants using RT-qPCR with a two-fold goal i) to check its presence in the water effluent and in the produced sludge and ii) based on the understanding of the virus particles fate, to identify the most suitable spots for detecting the incidence of COVID-19 and monitor its evolution. On the grounds of the affinity of enveloped virus towards biosolids, we hypothesized that the sludge line acts as a concentrator of SARS-CoV-2 genetic material. Sampling several spots in primary, secondary and sludge treatment at the Ourense (Spain) WWTP in 5 different days showed that, in effect, most of SARS-CoV-2 particles cannot be detected in the water effluent as they are retained by the sludge line. We identified the sludge thickener as a suitable spot for detecting SARS-CoV-2 particles thanks to its higher solids concentration (more virus particles) and longer residence time (less sensitive to dilution caused by precipitation). These findings could be useful to develop a suitable strategy for early warning of COVID-19 incidence based on WWTP monitoring.Decades of research implicates perfectionism in depressive symptoms. Yet, inconsistent findings, underpowered studies, and the tendency for researchers to assume one direction of influence have clouded understanding of whether perfectionism is a vulnerability factor for depressive symptoms, a complication of depressive symptoms, or both. Our primary aim was to address this by using meta-analytic structural equation modeling to test cross-lagged reciprocal relations between depressive symptoms and two perfectionism factors perfectionistic concerns and perfectionistic strivings. Our secondary aim was to catalyze a search for moderators that might explain heterogeneity by conducting a bivariate random-effects meta-analysis. The literature search yielded 67 longitudinal studies (N = 20,583) composed of undergraduates, community members, medical students, treatment-seeking adults, and patients with mental health problems. The relationship between perfectionistic concerns and depressive symptoms was reciprocal, with perfectionistic concerns predicting increased depressive symptoms and vice versa. In contrast, the relationship between perfectionistic strivings and depressive symptoms was unidirectional, with perfectionistic strivings conferring vulnerability for depressive symptoms, but not the reverse. Clinicians who overlook the reciprocal relationship between perfectionistic concerns and depressive symptoms might miss information vital to accurate conceptualization, assessment, and treatment. Perfectionistic strivings may be distinguishable from perfectionistic concerns by being more in line with classical models of personality vulnerability.