Dimethyl phthalate (DMP) is a prototypical member of the phthalic acid ester class of plasticizers that may remain in food, posing a considerable risk to both food safety and human health. An innovative ratiometric fluorescence sensor (MIPs@BL-MOF) was constructed by incorporating bimetallic lanthanide terbium/europium metal-organic framework (BL-MOF) into molecularly imprinted polymers (MIPs) for the rapid selective and visual detection of DMP. In this work, BL-MOF prepared by the 'post-mixing' strategy was intelligently incorporated in the MIPs layer, giving the sensor the ability of rapid mass transfer, efficient binding, excellent anti-interference, and high selectivity. Based on the photoelectron transfer mechanism, high-affinity detection of DMP was realized by MIPs@BL-MOF with a good linear fitting (R = 0.9944) and theoretical detection limit of 3.29 nmol L in the range of 1.0 × 10-1.0 × 10 mol L. More importantly, a portable visual sensing platform integrated by the MIPs@BL-MOF sensor and smartphone was successfully applied to DMP detection. Accordingly, the MIPs@BL-MOF-based ratiometric fluorescence sensing platform with desirable specificity, sensitivity, and portability holds great potential for the rapid and visual detection of plasticizers for ensuring environmental and food safety.
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http://dx.doi.org/10.1016/j.foodchem.2025.143373 | DOI Listing |
J Surg Case Rep
March 2025
Faculty of Medicine, University of Aleppo, Aleppo, Syria.
In endemic regions, intra-orbital hydatid cysts are a rare manifestation of Echinococcus granulosus infection, classically disturbing the liver and lungs. This report details a patient's case with an intra-orbital cyst presenting. Diagnostic imaging revealed a cystic lesion causing optic nerve displacement.
View Article and Find Full Text PDFFront Bioeng Biotechnol
February 2025
Aragon Institute of Research Engineering (I3A), Universidad de Zaragoza, Zaragoza, Spain.
Introduction: Laser refractive surgeries are a safe option for low-to-moderate refractive corrections, providing excellent visual outcomes. Over the years, various procedures have been introduced into clinical practice, but the most performed today remain Photorefractive Keratectomy (PRK), Laser Keratomileusis (LASIK), and Small Incision Lenticule Extraction (SMILE). Although laser refractive treatments are considered safe, clinicians have focused on the risk of post-surgical ectasia, a rare but serious complication.
View Article and Find Full Text PDFFront Neurosci
February 2025
Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Introduction: In aviation, exceptional visual perception is crucial for pilots to monitor flight instruments and respond swiftly to deviations, as well as make rapid judgments regarding environmental changes, ensuring aviation safety. However, existing research on pilots' visual perception has predominantly focused on behavioral observations, with limited exploration of the neurophysiological mechanisms involved.
Methods: This study aimed to investigate the brain activity associated with the visual perception capabilities of flight cadets.
Neurophotonics
January 2025
Northeastern University at Qinhuangdao, School of Control Engineering, Qinhuangdao, China.
Significance: The deep cortical microvasculature is closely linked to the pathogenesis of Alzheimer's disease (AD). However, tail artifacts from superficial cortical vessels often interfere with detecting deep vessels in optical coherence tomography angiography (OCTA) imaging. A more accurate method to assess deep cortical vasculature is crucial for understanding its relationship with AD onset.
View Article and Find Full Text PDFDigit Health
February 2025
College of Computing & IT, Department of Data & Cybersecurity, University of Doha for Science and Technology, Doha, Qatar.
Objective: This paper aims to address the need for real-time malaria disease detection that integrates a faster prediction model with a robust underlying network. The study first proposes a 5G network-based healthcare system and then develops an automated malaria detection model capable of providing an accurate diagnosis, particularly in areas with limited diagnostic resources.
Methods: The proposed system leverages a deep learning-based YOLOv5x algorithm to detect malaria parasites in thick and thin blood smear samples.
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