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Funding Information: This work was financed by national funds from Fundação para a Ciência e a Tecnologia, I.P. (FCT) in the scope of the Projects LA/P/0037/2020, UIDP/50025/2020, and UIDB/50025/2020 of the Associate Laboratory Institute of Nanostructures, Nanomodelling and Nanofabrication (i3N). Also, this work was performed within the framework of Plano de Recuperação e Resiliência (PRR) Projects “R2U Technologies|Modular Systems” (C644876810-00000019) and “Agenda Be.Neutral” (C625244769-00462300). Publisher Copyright: © 2025 The Authors. Published by American Chemical Society.

Antioxidants are key components in fighting the damage caused by reactive oxygen species but are highly unstable. Natural deep eutectic systems (NADES) are alternative preservatives for antioxidants. This study explores the incorporation of ascorbic acid (AA) into NADES to enhance the preservation of its properties. Additionally, the toxicity of the systems was evaluated using shrimp (Palaemon varians). It was observed that the system comprised of betaine:citric acid:water (Bet:CA, 1:1:3) was able to preserve AA’s antioxidant capacity up to 9 days, outperforming the remaining systems. Regarding the toxicity assays, it was observed that the presence of Bet:CA (up to 410 mg/ganimal) did not cause significant toxicity against shrimp, while the presence of the higher concentrations of choline chloride:ascorbic acid (ChCl:AA, 2:1) (467 mg/ganimal) showed low toxicity. Moreover, in the preservation of apple slices using NADES solution, it was observed that NADES could reduce the browning effect over 24 h.

A label-free impedimetric immunosensor for the detection of 5-methylcytosine (5-mC), a key epigenetic marker, was developed based on a one-step electropolymerized nanocomposite of poly(o-phenylenediamine) (poly(o-PD)) and gold nanoparticles (AuNPs). The nanocomposite film was electropolymerized onto a screen-printed electrode (SPE) with a gold working electrode area of 0.0078 cm2. The system was characterized by cyclic voltammetry and electrochemical impedance spectroscopy (EIS). The EIS measurements, including Nyquist, Bode, and complex capacitance plots, confirmed the successful formation of the nanocomposite and its stepwise modification with glutaraldehyde, anti-5-methylcytosine antibody (Ab-5mC), and bovine serum albumin (BSA). The immunosensor utilized the inherent redox activity of the poly(o-PD) toward dissolved oxygen as a transduction mechanism, eliminating the need for external redox mediators. The binding of 5-mC to the immobilized Ab-5mC hindered the access of dissolved oxygen to the redox-active phenazine-like units within the poly(o-PD) matrix, resulting in a measurable increase in the charge transfer resistance. The immunosensor exhibited a linear response to the logarithm of 5-mC concentration in the range of 2.5 to 160 pg mL–1, with a low limit of detection (LOD) of 1.73 and 1.18 pg mL–1 when using the imaginary and absolute impedance, respectively. The incorporation of AuNPs significantly enhanced the electrochemically active surface area and improved the electron transfer kinetics, contributing to the high sensitivity of the immunosensor. This work demonstrates the potential of a one-step electropolymerized poly(o-PD)-AuNP nanocomposite for the development of simple, label-free, and sensitive impedimetric immunosensors for epigenetic biomarker detection.

The growing need for natural products and sustainable processes has led to the development of biotechnological processes comprising the valorization of agro-industrial byproducts to generate value-added products. This study presents the waste valorization into 2-phenylethanol (2-PE) by Acinetobacter soli ANG344B. Banana peels, bread, and brewer’s spent grains were hydrolyzed and used as carbon sources for cellular growth and 2-PE production from l-phenylalanine. The hydrolysate from banana peels supported the highest growth (6.9 ± 0.7 gCDW/L) and 2-PE production (2.48 ± 0.04 g2-PE/L). As far as we know, these results represent the highest volumetric productivity (0.17 ± 0.00 g2-PE/L·h) achieved in a 2-PE production batch using waste-based media. The incorporation of the adsorbent Amberlite XAD 4 resulted in increased aroma production (7.30 ± 0.01 g/L). These results emphasize the potential of using agro-industrial byproducts to increase 2-PE production by A. soli ANG344B, contributing to the development of eco-friendly bioprocesses.

The Internet of Things (IoT), which allows common household items to be connected to the internet and communicate with one another, is quickly changing the way we live and work. The healthcare, transportation, and manufacturing sectors could all undergo radical change as a result of this. if a little developing method have led to a number of new developments in the medical and health fields. IoT technologies for wearable health address new problems with state-of-the-art equipment and resources. With the aid of portable medical equipment, the health status of both in-and out-patient patients could be monitored frequently and irregularly. This paper suggests the Patient Health Monitor Framework (PHMF), an IoT application framework that uses Machine Learning (ML) techniques to create a better automation system. Connections, surveillance, and decisionmaking for precise diagnosis will be made possible by this system.

The essence of competition is often understood as a situation of mutually exclusive goal attainment, where one side succeeds only if another does not. However, and as studied by the game theory, this standard view may be too narrow and simplistic when trying to understand complex interactions.1 Researchers in business and management have expanded on this and explored cases of simultaneous cooperation and competition (ie, coopetition) as the most complex but advantageous relationship among competitors and as an effective strategy to drive innovation.2 Scientific innovation can be crucial for maximising athletes’ health and performance, which has resulted in a growing interest in sports science and medicine (SSM). Innovation through research helps develop training models, medical treatments and recovery methods3 but the practical relevance of some fundamental studies is often hindered by their poor ecological validity. Tightly controlled conditions can create an artificial sample of athletes and circumstances which are not truly representative of daily practice, allowing for the gap between research and practice to persist. Applied research aims to bridge that gap by developing ecologically valid evidence and can be further enhanced by embedding ‘off-field’ …

In this review we discuss the novel developments in mass spectrometry-based analytical methods for size determination, chemical identification, and quantification of the microplastic and nanoplastic in indoor air and dust.

The intermolecular hydrogen bonding of barbiturates assists in the supramolecular aggregation and a hypsochromic shift is shown in protic solvents.

Strong interaction between the Cu and Mo2C phases and formation of Mo2C–Cu+ interfaces is required for the efficient hydrogenation of CO2 to methanol.

The multivariate curve resolution-alternative least squares (MCR-ALS) algorithm was modified with sample insertion constraint to deconvolute the overlapping peaks in SERS spectra. The developed method was evaluated by the spectral data simulated using a Gaussian distribution function to generate two independent peaks corresponding to a capping agent and an analyte. The spectra were generated with different overlapping levels and various intensity ratios of the analyte to the capping agent. By using MCR-ALS with the sample insertion constraint, the peak of the capping agent was completely excluded to obtain a calibration model of the analyte with R2 > 0.95 under all conditions. Furthermore, our developed method was later applied to a real SERS measurement to quantify carbofuran (analyte) using the azo-coupling reaction with p-ATP (capping agent) on silver nanoparticles as a SERS substrate. A calibration model of derivative carbofuran phenol was generated with R2 = 0.99 and LOD = 28.19 ppm. To assess the performance of the calibration model, the model was used to estimate the concentration of carbofuran in an external validation set. It was found that the RMSE of prediction was only 2.109 with a promising R2 = 0.97.