• Citizens meets analytical chemistry: a bridge for growing. • Low cost, eco-friendly, and wearable devices. • Health and environmental monitoring. • 3D printing and smartphone as tools for inclusivity in science. Citizen science is rapidly emerging as a transformative force in analytical chemistry by opening research participation to non-specialists and expanding where and how data can be collected. This report explores how recent technological advances have made analytical tools simpler, smaller, and more affordable. These developments have enabled citizens and students to be engaged directly in environmental monitoring, food-quality assessment, and educational activities, often producing data comparable to those generated in laboratories. In addition, several emerging prototypes have been purposefully designed with citizen use in mind, anticipating future applications in participatory science. The discussion also addresses areas where citizen science could play a growing role, including biomedical and forensic analysis, while recognizing challenges related to data reliability, ethics, and validation. Overall, this report highlights how accessible technologies, supported by artificial intelligence and digital communication, are transforming analytical chemistry into a more inclusive and collaborative discipline, connecting scientific research with everyday life.

Precise, fast, and automated gel quantification powered by YOLO11 instance segmentation.

Phenolic compound determination through electrochemical methodologies and biosensors: A review supported by bibliometric analysis.

Sustainable and high efficiency natural hydrophobic deep eutectic solvents in analytical chemistry

A smart, accurate, and eco-friendly spectrophotometric platform was designed for the concurrent determination of amlodipine besylate (AML), indapamide (IND), and telmisartan (TEL) in their combined pharmaceutical formulations. These antihypertensive agents are frequently co-administered due to their complementary mechanisms of action: AML, a calcium channel blocker, induces vasodilation; IND, a thiazide-like diuretic, promotes natriuresis and reduces plasma volume; while TEL, an angiotensin II receptor blocker (ARB), inhibits vasoconstriction and aldosterone secretion. The combination offers a synergistic effect in managing essential hypertension, especially in patients requiring multidrug therapy. Two well-established spectrophotometric platforms, Fourier self-deconvolution (FSD) and Third derivative (D1), are introduced to resolve and accurately quantify a captivating tertiary mixture effectively. These methods were developed for simultaneous determination of the three drugs over a concentration range of 2–40 μg/mL for AML, 2–20 μg/mL for IND, and 2–45 μg/mL for TELIn addition to the univariate approaches, two multivariate chemometric models—Partial Least Squares (PLS) and Principal Component Regression (PCR)—were successfully constructed for the concurrent estimation of the studied drugs. The predictive capabilities of these models were confirmed, showing root mean square error of prediction (RMSEP) values within the range of 0.0749 to 0.4535, indicating high model accuracy. The selectivity of the proposed spectrophotometric and chemometric methods was verified through the analysis of laboratory-prepared mixtures containing varying ratios of the investigated drugs, as well as their commercial dosage form. To ensure environmental compliance, the greenness profile of the developed procedures was evaluated using multiple assessment tools, including the spider diagram and the Modified Green Analytical Procedure Index (MoGAPI), both of which confirmed the eco-friendly nature of the methods. The proposed techniques were validated in accordance with the International Council for Harmonisation (ICH) guidelines to confirm their reliability. Furthermore, the accuracy of the developed methods was assessed using the standard addition technique. Statistical comparison of the obtained results with those from reported HPLC methods revealed no significant difference in accuracy or precision at a confidence level of p = 0.05, confirming the equivalency and robustness of the proposed procedures. • The study introduces the first spectrophotometric methods for the simultaneous quantification of Amlodipine, Telmisartan, and Indapamide in a combined dosage form. • The developed methods integrate principles of Green Analytical Chemistry (GAC) with smart chemometric techniques (PLS and PCR). • The univariate and multivariate models were optimized and validated, offering excellent accuracy and precision even in the presence of interfering species. • The proposed approach eliminates the need for hazardous organic solvents, minimizing environmental impact and analytical waste. • The study provides a sustainable and cost-effective analytical alternative to traditional chromatographic methods. • The work contributes to the field of sustainable analytical chemistry and aligns with the mission of the journal Sustainable Chemistry and Pharmacy.

Chloride determination in crude oil by potentiometric titration after reversed-phase dispersive liquid-liquid microextraction.

Identification of major odor-causing compounds and algal causes in the Huangpu River.

Microbial diversity of Nepalese fermented dish (Gundruk) and enhancing its fermentation using lactic acid Bacteria starter culture.

Electrospun PVA-PCL/HA nanofiber scaffolds containing mupirocin for surgical wound healing in Sprague Dawley rats.

Exploratory modeling to estimate major elements contents of woody biomass ash from stokers, fluidized beds and gasification reactors.

Chemical composition and evaluation of the anti-Candida activity of essential oils of Croton jacobinensis Baill. and its main compound α-pinene: in vitro and in vivo insights.

Formulation and evaluation of a functional beverage from Ilex guayusa Loes. (Aquifoliaceae): Chemical analysis, antioxidant activity, and sensory acceptance

• Comprehensive chemical analysis of Curlone and Kepone commercial formulations • Tentative identification of chlorinated compounds from isotopic pattern recognition • Tentative identification of non-halogenated compounds from fold change analysis • Better estimation of the possible overall exposure from use of these formulations Chlordecone (CLD) was widely used in French West Indies (FWI) until 1993 against black banana weevil ( Cosmopolites sordidus ). However, this pesticide was determined to have various adverse effects such as increasing the frequency of prostate cancer and impacting infant’s neurological development. It is thus a highly monitored compound in FWI environmental, food and biological matrices. CLD represents the major organic component (5% by weight) of the commercial formulations used in the past, although some other compounds are expected to be present. This study investigates the overall organic chemical composition of six Curlone formulations and of one sample of technical Kepone to identify compounds other than CLD that can be present in these formulations and still unknown. Chemical analysis was performed using both gas chromatography and liquid chromatography hyphenated with high resolution mass spectrometry, while data processing was conducted using non-target analysis. The overall investigation lead to the detection of 52 chlorinated molecules and 16 non-chlorinated molecules ranging from 1% to 1 part-per-million (ppm) of the CLD intensity. Tentatively identified compounds were some CLD isomers, mirex, chlordecol, monohydro- and/or dihydroCLD, chlorocyclopentadienes, chloronaphthalenes, chlorobutadienes, chloroindanes, chloroindenes and chlorocyclopentenes for chlorinated compounds, and cyclic hydrocarbons, oxygenated hydrocarbons and linear alkanes for non-chlorinated compounds. Even if some compounds were detected at low percentages, the high quantity used for these formulations in the French West Indies makes the overall quantity of these compounds non-negligible, and thus future studies could investigate these compounds in environmental, food and biological matrices.

Quantification of retinal microvascular imaging features from fundus photos in ocular and systemic disease: a framework for standardization.

Resolving Biclonal Gammopathy from monoclonal patterns: Diagnostic utility of triple quadrupole mass spectrometry in the era of therapeutic monoclonal antibodies.

Chemical and morphometric analyses of otoliths to differentiate snook species (Centropomus spp.) and assess habitat use on the southeastern Brazilian coast

This study analyzed the essential oils of Amomi Fructus Rotundus (from the whole fruit, pericarp, and non-moldy/moldy kernels) by GC-MS. Thirty-two compounds were identified, primarily eucalyptol, β-pinene, D-limonene, and α-pinene. The pericarp oil showed the strongest antibacterial activity, which was linked to specific compounds (e.g., 3-carene). Moldy kernels exhibited new compounds, indicating metabolic changes. Network pharmacology and molecular docking suggested anti-gastritis effects via targets (e.g., EGFR, PTGS2) and inflammation-related pathways. Additionally, invitro assays confirmed antibacterial effects against Escherichia coli, Staphylococcus aureus, Candida albicans, and Listeria monocytogenes. This work elucidates the oil's anti-gastritis potential and antibacterial activity, supporting quality control and medicinal development.

Canonical inflammasome assembly is driven by interactions between sensors and effector procaspase-1, primarily mediated by the adaptor ASC. Homotypic interactions between Death Domains pyrin (PYD) and caspase recruitment and activation domain (CARD) lead to sensor and ASC oligomerization, along with the recruitment of procaspase-1. ASC self-association is essential for inflammasome activation, which initiates inflammatory responses. Therefore, uncontrolled inflammasome activation contributes to chronic inflammatory diseases. ASC-c, an isoform of ASC, acts as a negative regulator of the inflammasome. To better understand ASC-c's regulatory role, we examined its structural properties and interactions with ASC. Our nuclear magnetic resonance data show that ASC-c's CARD is properly folded, whereas the PYD consists of two α-helices instead of the six-helix bundle typical of Death Domains. In addition, a chemical shift perturbation analysis indicates that ASC-c interacts with ASC. We obtained transmission electron micrographs revealing that ASC-c polymerizes into filaments and filament bundles, which display greater heterogeneity than those of ASC based on dynamic light scattering. Overall, our results suggest that ASC-c binding to ASC can have an impact on ASC self-association, thereby affecting inflammasome assembly. Based on these findings, we designed a peptide encompassing the two helices of the ASC-c PYD to target ASC for therapeutic purposes. We demonstrate the interaction between the peptide and ASC by fluorescence anisotropy and show the stability of the complex by molecular dynamics simulations. Finally, cell-based assays measuring inflammasome activation indicate an inhibitory effect of the ASC-c peptide, pointing to its potential use in drug design.

• Dynamic operation of fixed bed reactors is becoming increasingly common • Unsteady 1D models do not capture heat transfer limitations in packed beds • Dynamic instrumental analytical techniques are needed but complex and expensive Recent research in chemical plant operation shows increasing interest in dynamic process operation as part of designed operating strategy for reasons such as increased dependency on renewable energy, and process intensification. Conventional analyses of fixed bed reactors are developed for steady state optimization and may not be adequate for dynamic operation. In fact, the important metrics and targets in dynamic process design are not entirely clear. The first objective of this article is to provide a state-of-the-art survey categorize types of dynamic operation, and rank the available common modelling and analytical tools suitable for quantification of dynamic process variables. The article then examines a case study of 1D and 2D model differences in a methanol steam reforming reactor. The case study shows model prediction differences of up to 15% for conversion, and up to 50% for CO concentration at the outlet during extreme load changes. The study concludes that the complexity of analytical and numerical techniques for dynamic processes is notably higher compared to steady state analyses, but appropriate tools and procedures are currently lacking.

Site-specific propynylation modification of apigeninidin enhances anti-cervical cancer activity by targeting PARP-1.