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Pupillometry is becoming a relevant tool in Vision Sciences. So far, only a few studies have explored the relationship between pupil reflex measures and drug consumption. The aim of this study was to assess the applicability of dynamic mesopic pupillometry as an objective measurement method for the detection of blood alcohol levels above the legal limit. In a quasiexperimental design, 19 volunteers were asked to participate in two conditions (before and after alcohol intake). In session with alcohol intake, participants were asked to consume 27.5 ml of alcohol in 60 minute intervals for four hours. Pupillometry records were conducted by means of the Power Refractor II, using four types of light stimulation: white (5600 K), blue (450 nm), green (510 nm) and red (600 nm). The basal diameter of the pupil increased significantly for alcohol concentrations equal to or greater than 0.25 mg/l in exhaled breath. Moreover, the value of the amplitude for red light constriction also provided significant differences between the two conditions. These results are promising in the search for new methods to detect illegal alcohol levels among drivers. This study demonstrates that basal pupil diameter increase and amplitude response could be used as an alcohol consumption level indicator. However, further studies are necessary to validate this and other diagnose methods complementary to breathalyzer and other drugs tests.
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J Sep Sci
September 2025
Departament de Química Analítica, Facultat de Química, MINTOTA Research Group, Universitat De València, Burjassot, Spain.
Spirulina is considered a superfood due to its chlorophylls. Two new methods for the determination of chlorophylls and β-carotene were developed here, one based on in-tube solid-phase microextraction (IT-SPME) coupled online to nanoliquid chromatography (nanoLC) with diode array detection (DAD), and the other on ultraviolet-visible diffuse reflectance spectroscopy (UV-vis DRS). A protocol to extract the pigments from spirulina was proposed using ethanol (1.
View Article and Find Full Text PDFJ Sep Sci
September 2025
Programa De Pós-Graduação em Química, Universidade Federal de Sergipe, São Cristóvão, Sergipe, Brazil.
Secondary metabolites are important bioactive compounds for diet and medicine. This study optimizes the extraction of hydroethanolic herbal extracts using an EDGE (Energized Dispersive Guided Extraction) system, evaluates their antioxidant capacity, and analyzes correlations among antioxidant activity, total phenolic content, and individual compounds. A Doehlert matrix design was used to optimize extraction, having temperature and time as independent variables, and total phenolic content (mg GAE/g) as the response, quantified via the Folin-Ciocalteu method.
View Article and Find Full Text PDFBMC Biotechnol
September 2025
Zoology Department, Faculty of Science, Cairo University, Giza, 12613, Egypt.
Environ Geochem Health
September 2025
Department of Chemistry, Government Arts College(A), Salem, Tamil Nadu, 636007, India.
A CoO/AgMoO/CeOternary nanocomposites photocatalyst was successfully synthesized through a straightforward ethanol-assisted chemical method. Comprehensive characterization of its structural and optical properties was conducted using X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), Raman spectroscopy, scanning electron microscopy (SEM), transmission electron microscopy (TEM), UV-Vis diffuse reflectance spectroscopy (UV-DRS), and photoluminescence (PL) analysis. XRD analysis confirmed the presence of CoO, AgMoO and CeO in the ternary composite sample.
View Article and Find Full Text PDFMol Psychiatry
September 2025
Nencki Institute of Experimental Biology of Polish Academy of Sciences, 3 Pasteur St., Warsaw, 02-093, Poland.
Alcohol use disorder (AUD) is characterized by pathological motivation to consume alcohol and cognitive inflexibility, leading to excessive alcohol seeking and use. In this study, we investigated the molecular correlates of impaired extinction of alcohol seeking during forced abstinence using a mouse model of AUD in the automated IntelliCage social system. This model distinguished AUD-prone and AUD-resistant animals based on the presence of ≥2 or <2 criteria of AUD, respectively.
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