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The stability and photochemical transformations of cosmetic preservatives in topical applications exposed to UV-light is a serious but poorly understood problem. In this study, a high throughput extraction and selective method based on pressurized liquid extraction (PLE) coupled to gas chromatography-mass spectrometry (GC-MS) was validated and applied to investigate the photochemical transformation of the antioxidant butylated hydroxytoluene (BHT), as well as the antimicrobials triclosan (TCS) and phenyl benzoate (PhBz) in an artificial skin model. Two sets of photodegradation experiments were performed: (i) UV-Irradiation (8W, 254nm) of artificial skin directly spiked with the target preservatives, and (ii) UV-irradiation of artificial skin after the application of a cosmetic cream fortified with the target compounds. After irradiation, PLE was used to isolate the target preservatives and their transformation products. The follow-up of the photodegradation kinetics of the parent preservatives, the identification of the arising by-products, and the monitorization of their kinetic profiles was performed by GC-MS. The photochemical transformation of triclosan into 2,8-dichloro-dibenzo-p-dioxin (2,8-DCDD) and other dioxin-like photoproducts has been confirmed in this work. Furthermore, seven BHT photoproducts, and three benzophenones as PhBz by-products, have been also identified. These findings reveal the first evidences of cosmetic ingredients phototransformation into unwanted photoproducts on an artificial skin model.
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http://dx.doi.org/10.1016/j.chroma.2016.02.066 | DOI Listing |
J Invest Dermatol
September 2025
Department of Dermatology, CHU Nice, University Côte d'Azur, Nice, France; C3M, INSERM U1065, University Côte d'Azur, Nice, France.
J Forensic Leg Med
September 2025
China People's Police University, Langfang, 065000, China.
Forensic identification at fire scenes faces three core challenges: distinguishing cause of death (antemortem burning versus postmortem corpse burning), reconstructing criminal behavior (arson versus accident), and preserving evidence (thermal destruction versus artificial tampering). This case study systematically demonstrates the application value of burn trace characteristics in arson investigation through a typical intentional homicide and corpse burning case. Based on a three-dimensional analytical framework of human burn-behavioral characteristics, a systematic pathway incorporating reconstruction of arson/corpse burning processes and identification of body relocation behavior was established.
View Article and Find Full Text PDFHead Neck
September 2025
Department of Oral Oncology, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan.
Background: Reconstruction of head and neck mucosal defects presents unique challenges due to the anatomical complexity and functional demands of the region. Artificial biomaterials such as collagen and polyglycolic acid (PGA) sheets have gained clinical traction owing to their ease of use and reduced surgical burden. However, limitations such as local inflammation, degradation-related complications, and mechanical instability-particularly in highly mobile areas like the tongue-continue to hinder their broader application.
View Article and Find Full Text PDFCarbohydr Polym
November 2025
Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, International Innovation Center for Forest Chemicals and Materials, College of Chemical Engineering, College of Light Industry and Food Engineering, Nanjing Forestry University, Longpan Road 159, Nanjing 210037
A one-pot strategy was developed to fabricate a strong and ductile elastomer composed of chitin nanocrystals and poly(deep eutectic solvent) (ChNC/PDES), based on a dual-network structure formed through glycidyl methacrylate (GMA)associated modification, polymerization and crosslinking. This approach enables the integrated pretreatment, chemical modification, and nanodispersion of chitin within a lactic acid/choline chloride deep eutectic solvent (DES) system. Whereafter, the ultraviolet initiated polymerization of GMA with ChNC and DES components produced a homogeneous elastomer with a maximum tensile strength of 4.
View Article and Find Full Text PDFEur J Cancer
August 2025
Department of Dermatology, University medical Center Heidelberg, Germany.
Importance: Deep learning convolutional neural networks (DL-CNN) achieved diagnostic accuracies comparable to dermatologists in controlled test environments. However, their performance in diagnosing rare skin tumors (RST) remains unclear. This study aimed to evaluate a binary DL-CNN's diagnostic performance in RST and assess the level of support for an international group of dermatologists.
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