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Significance of surface and ground water contamination by synthetic organic compounds has been pointed out in a very high number of papers worldwide, as well as the need of application of treatment technologies capable to assure their complete removal. Among these processes, the electrochemical advanced oxidation is an interesting option, especially when irradiated with UVC light (photo-electrochemical, P-EC) to promote homolysis of electrogenerated oxidants. In this work, the herbicide glyphosate (GLP) was used as model compound and it was electrochemically treated under UVC irradiation in the presence of NaCl and using a DSA® and BDD anodes. Total organic carbon concentration was measured throughout the electrolysis, as well as the concentration of short chain carboxylic acids and inorganic ions (NO, PO,ClO, ClO and ClO). The synergism of the P-EC was more pronounced when using a DSA® electrode, which led to complete GLP mineralization in 1 h (0.52 A h L), as also confirmed by the stoichiometric formation of NO and PO ions, with an energy consumption as low as 1.25 kW h g. Unexpectedly, the concentration evolution of oxyhalides for the P-EC process using both anodes, especially for DSA® at 10 mA cm, showed the production of ClO, whereas detection of ClO species was only found when using BDD at 100 mA cm for the electrochemical process. Finally, small amounts of carboxylic acids were detected, including dichloroacetic acid, especially when using a BDD electrode.
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http://dx.doi.org/10.1016/j.chemosphere.2019.124575 | DOI Listing |
Encephale
September 2025
Universidade Alto Vale do Rio do Peixe (UNIARP), Departamento de Nutrição, CEP (89500-199), Caçador, Santa Catarina, Brasil; Universidade Federal do Paraná (UFPR), Programa de Pós-Graduação em Engenharia de Alimentos (PPGEAL), CEP (81531-980), Curitiba, Paraná, Brasil. Electronic address: de
Introduction: Body Dysmorphic Disorder (BDD) is a condition characterized by a distorted perception of one's own body image. Individuals with BDD exhibit excessive concern about their appearance, often fixating on perceived flaws that are either imaginary or minor. The prevalence of body image-related eating disorders has been increasing among university students, particularly in health-related fields, where students frequently experience pressure to maintain an ideal body shape and weight.
View Article and Find Full Text PDFFacial Plast Surg
September 2025
Department of Otolaryngology-Head and Neck Surgery, Ng Teng Fong General Hospital, Singapore, Singapore.
Body dysmorphic disorder (BDD) is a condition to be assessed preoperatively prior to cosmetic rhinoplasty, as it may influence patient outcomes and satisfaction. The prevalence of BDD in Asians is not well-studied, and the literature consists predominantly of smaller case series.This systematic review and meta-analysis estimated BDD prevalence in Asian rhinoplasty candidates and examined the impact of diagnostic methods and regional factors.
View Article and Find Full Text PDFJ Affect Disord
August 2025
The Fifth Clinical Medical College, Shanxi Medical University, Shanxi, Taiyuan 030000, China. Electronic address:
RSC Adv
August 2025
Laboratory Physical-Chemistry of the Solid State, Department of Chemistry, Faculty of Sciences of Sfax, University of Sfax BP 1171 3000 Sfax Tunisia
A new one-dimensional (1D) palladium-based hybrid perovskite, (CHN)[PdCl(HO)], has been synthesized and structurally characterized, revealing a distinctive asymmetric architecture with two non-equivalent formula units (' = 2). The compound exhibits a see-saw coordination geometry around Pd(ii), stabilized through a network of hydrogen bonds, π-π stacking, and halogen-halogen interactions, which collectively enhance its structural robustness and functional properties. Beyond its architectural novelty, the material demonstrated excellent catalytic activity as a cathodic modifier in a Boron-Doped Diamond (BDD)-assisted electro-Fenton system for paraquat degradation.
View Article and Find Full Text PDFJ Imaging
August 2025
School of Engineering, Howard College Campus, University of KwaZulu-Natal, Durban 4041, South Africa.
On-road vision-based systems rely on object detection to ensure vehicle safety and efficiency, making it an essential component of autonomous driving. Deep learning methods show high performance; however, they often require special hardware due to their large sizes and computational complexity, which makes real-time deployment on edge devices expensive. This study proposes lightweight object detection models based on the YOLOv5s architecture, known for its speed and accuracy.
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