January 2024 in “ResearchWorks at the University of Washington (University of Washington)” This study found that while measuring zinc in hair did not allow calculation of individual hair growth rates, it effectively characterized zinc, lead, and mercury concentrations and improved methods for analyzing these exposures using LA-ICP-MS.
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May 2022 in “Pharmaceutics” This study demonstrates that MPM-FLIM multimodal imaging can effectively assess the delivery and dissolution of zinc pyrithione particles in human skin follicles using different application techniques.
2 citations
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May 2024 in “Nanomaterials” This study reports the synthesis of a hectorite/phenanthroline nanomaterial which acts as a potential fluorescent sensor for detecting Zn ions in water, offering a solution to the low solubility issue of traditional metal ion-detecting molecules.
March 2026 in “FMDB Transactions on Sustainable Health Science Letters” This study developed a method using Convolutional Neural Networks to detect nutritional deficiencies, such as iron, zinc, biotin, and vitamins, through high-resolution images of hair and nails, achieving an 89% accuracy rate in identifying these deficiencies.
The researchers presented a rare case of a four-year-old developing scarring alopecia after a two-week ICU stay, highlighting the challenge of diagnosing pressure alopecia in children and the crucial role of early detection and trichoscopy in preventing permanent hair loss.