GLANCE (Graphical Layout Tool for Analytical Chemistry Evaluation) is an innovative and adaptable free, editable template specifically designed to help researchers visually summarize their analytical chemistry methods in a structured and clear manner. It provides an accessible solution to the challenge of presenting complex scientific data, offering a significant advantage over traditional reporting methods, which often lack visual clarity. This is crucial because no previous tool has been developed to summarize analytical methods in such a comprehensive and concise visual format, significantly enhancing the process of gathering and presenting key information, particularly in review articles. The GLANCE template (bit.ly/409cwDd) is composed of twelve distinct attributes, each targeting critical aspects of method development (novelty, analytes, sample preparation, reagents, instrumentation, method validation, matrix effects and recoveries, application to real samples, analytical metrics, main results, limitations, and additional information). By filling out each block with keywords or short phrases, authors can provide a concise yet thorough overview of their method. Once completed, the template can be easily downloaded and included in scientific articles. This straightforward integration enhances both the clarity and accessibility of publications, providing the scientific community with a quick snapshot of the principal features of research.

Pesticides are chemical substances widely used to control, prevent, or eliminate pests in agriculture, gardening, and other sectors. However, their use poses risks to human health, and recent regulatory efforts have focused on minimizing exposure and monitoring residue levels. In this study, the separation of seven pesticides was investigated using supercritical fluid chromatography coupled to diode-array detection (SFC-DAD). The influence of six different stationary phases and various organic modifiers, as well as additional parameters such as temperature, pressure, and the presence of additives, was systematically evaluated to optimize the chromatographic conditions. The best separation performance was achieved using a LiChrospher^® 100 DIOL column with methanol as the organic modifier under a gradient program. Analyses were carried out at a flow rate of 3 mL/min, a column temperature of 35 °C, and a system back pressure of 150 bar, resulting in a total analysis time of approximately 4 min. The optimized method allowed for a faster separation of the selected agricultural pesticides by SFC-DAD compared to conventional chromatographic techniques.

Cosmetics and personal care products often contain parabens, phthalates, and bisphenols, compounds used as preservatives or plasticizers that may also migrate from packaging materials into the product. Their potential endocrine-disrupting effects have prompted stricter regulations and concentration limits. Given their occurrence and the complexity of cosmetic matrices, several extraction and chromatographic techniques have been developed to ensure reliable quantification. In this review, representative methods published from 2018 to 2025 focused on the determination of these compounds were evaluated using the click analytical chemistry index (CACI), a recently developed color-coded tool that integrates analytical performance, environmental impact, cost, and applicability within a single framework. CACI allows an objective and balanced comparison of analytical methods, emphasizing practicality and real-world feasibility. The obtained CACI scores ranged from 57 to 80, suggesting that the evaluated methodologies can be categorized as acceptable (50-75%) or highly practical (>75%). It is expected that the use of CACI will promote the development of more sustainable, practical, and user-oriented analytical strategies for the evaluation of chromatographic methods, not only for endocrine-disrupting chemicals in cosmetics and personal care products, but also for other substances of interest.

The increasing demand for bee-derived products such as honey and bee pollen has led to a rise in adulteration and mislabeling, making it essential to develop reliable tools for authentication. Lipids, which are found in both matrices, are potential biomarkers for tracing their origin and may be used for detecting fraud. In this work, a solid–liquid extraction using hexane:isopropanol (10:1, v/v) followed by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) was optimized. The method was applied for tentative lipid screening of 15 honeys and 13 bee pollens showing a total number of lipids above 700, including fatty acyls, glycerolipids, glycerophospholipids, sphingolipids, and sterol lipids. For the first time, a principal component analysis was carried out for botanical and geographical origin, classifying most of the samples correctly. Additionally, the method was categorized as green (environmentally friendly) and blue (practical).