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Background: Urushiol, the culprit allergen in Toxicodendron plants such as poison ivy, is an oily mixture of 15 and 17 carbon side chain alk-(en)-yl catechols. Recently, consumer products have been identified that contain Toxicodendron as an ingredient on their label; however, no studies have assessed whether urushiol is indeed present within these products.
Objective: The aim of the study was to determine whether urushiol compounds are present in consumer products labeled as containing Toxicodendron species.
Methods: Gas chromatography-mass spectrometry and liquid chromatography-tandem mass spectrometry were performed on 9 consumer products labeled as containing Toxicodendron species, including topical homeopathic remedies. Single ion monitoring gas chromatography-mass spectrometry was programmed in selective ion mode to detect 3-methylcatechol characteristic fragment ions of alk-(en)-yl catechols after silanization. Similarly, single ion monitoring liquid chromatography-tandem mass spectrometry was programmed to detect 4 urushiol pentadecylcatechols and 5 urushiol heptadecylcatechols using previously reported mass-to-charge ratios.
Results: Gas chromatography-mass spectrometry detected alk-(en)-yl catechols in 67% (6/9) of the products tested. Liquid chromatography-tandem mass spectrometry detected multiple urushiol pentadecylcatechols and heptadecylcatechols in 44% (4/9) of the products tested.
Conclusions: Alk-(en)-yl catechols and multiple urushiols were detected in consumer products listing Toxicodendron species as an ingredient. Clinicians should be aware of these known allergenic ingredients in consumer products.
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http://dx.doi.org/10.1097/DER.0000000000000544 | DOI Listing |
Can J Microbiol
September 2025
Universidad de Costa Rica, School of Microbiology & Center for Research in Tropical Diseases (CIET), San José, Costa Rica;
Coffee plants and beans are prone to fungal contamination that pose health risks to consumers by producing mycotoxins like ochratoxin A (OTA). Thus, the present study aimed to analyze the mycobiota of Costa Rican coffee beans, focusing on potentially ochratoxigenic species and their in vitro susceptibility patterns to antifungal agents. Fungal isolates were obtained from cherry, green, and roasted coffee beans from Costa Rica; they were identified by morphology, MALDI-TOF technology, and sequencing.
View Article and Find Full Text PDFMenopause
September 2025
Bayer Consumer Care, Basel, Switzerland.
Importance: Sleep disturbances are common during and after the menopause transition, with potential effects on morbidity and quality of life; however, they may be underdiagnosed and undertreated.
Objective: We carried out a systematic literature review to investigate the prevalence and impact of sleep disturbances associated with menopause on women's health-related quality of life across the stages of menopause.
Evidence Review: Searches were conducted in PubMed and Excerpta Medica Database to identify articles published between 2013 and 2023 containing evidence for the impact of sleep quality on health-related quality of life and the epidemiology of sleep disturbances in women in menopause.
Biol Trace Elem Res
September 2025
Laboratório de Testes Farmacológicos E Toxicológicos - LEFT, Universidade Federal Do Rio Grande, Instituto de Ciências Biológicas, Av. Itália Km 8 Bairro Carreiros, CEP 96203-900, Rio Grande, Rio Grande Do Sul, Brasil.
This study aimed to evaluate fluoride concentrations in a variety of commonly consumed teas and Herbal infusions in Brazil and assess potential Health risks associated with their ingestion. A total of 21 samples were analyzed, including 12 loose-leaf and 9 commercially bagged products. Fluoride quantification was performed using a validated spectrophotometric method, and a deterministic and probabilistic human Health risk assessment was conducted.
View Article and Find Full Text PDFWaste Manag Res
September 2025
Faculty of Environmental and Chemical Engineering, Duy Tan University, Da Nang, Vietnam.
This study investigates plastic food packaging (PFP) recycling symbols in Vietnam through field surveys, questionnaires and statistical and machine-learning models. Results show that 68.2% of shoppers correctly identified the recycling symbol, whereas 87.
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