Cargando...
Fecha
2025-03-11
Derechos de acceso
info:eu-repo/semantics/openAccess
Título de la revista
ISSN de la revista
Título del volumen
Editorial
Wiley
Citas
Resumen
Ensuring food quality and safety according to stringent global standards requires analytical procedures that are accurate, cost-effective, and efficient. This present innovative high-throughput microrobots designed for the detection of antioxidants in food samples. These microrobots consist of photocatalytic bismuth subcarbonate anchored on silica-coated magnetite nanoparticles. Upon exposure to UV light, they generate reactive oxygen species via photocatalysis, which oxidize the colorless dye into a green-colored radical cation. The presence of antioxidants inhibits this reaction, allowing for the quantification of antioxidant activity. The magnetic Fe₃O₄/SiO₂ core enables steering of the microrobots using a transverse rotating magnetic field, facilitating automated assays on a custom-designed 3D-printed sensing platform. This results demonstrate that these magneto-photocatalytic microrobots can perform automated, high-throughput assessments of food quality, representing a significant advancement in food analysis technology.
Descripción
The registered version of this article, first published in “Small Methods, 9 (7), 2025, 2401952", is available online at the publisher's website: https://doi.org/10.1002/smtd.202401952
La versión registrada de este artículo, publicado por primera vez en “Small Methods, 9 (7), 2025, 2401952", está disponible en línea en el sitio web del editor: https://doi.org/10.1002/smtd.202401952
La versión registrada de este artículo, publicado por primera vez en “Small Methods, 9 (7), 2025, 2401952", está disponible en línea en el sitio web del editor: https://doi.org/10.1002/smtd.202401952
Categorías UNESCO
Palabras clave
food analysis, microrobots, nanorobots
Citación
Roberto Maria‐Hormigos, Carmen C. Mayorga‐Martinez, Jeonghyo Kim, Martin Pumera. High‐throughput Photoactive Magnetic Microrobots for Food Quality Control. Small Methods, 9 (7), 2025, 2401952
Centro
Facultad de Ciencias
Departamento
Ciencias Analíticas