XV International Conference on
Surfaces, Materials and Vacuum
September 26th - 30th, 2022 / Puerto Vallarta, Jalisco
M. Laura Soriano, PhD
Departamento de Química Analítica, Instituto Universitario de Nanoquímica (IUNAN), Edificio
M. Laura Soriano is currently Assistant Professor at the University of Córdoba. She obtained Ph.D. degree in Chemistry at Castilla La-Mancha University in 2007. After two postdoctoral stays at U.K. and Italy, she joined the FQM-215 research group at University of Cordoba funded by a FP7-EU project (INSTANT) developing new methods based on nanotechnology for analytical and pharmaceutical purposes. Up to date, she has directed one research project as IP co-financed by European Commission, and participated in numerous other projects (international, national, and regional ones). During this period, she has supervised two Doctoral Theses with European/international Mentions, three Master's Theses and three Final Degree Projects. Dr. Soriano has a multidisciplinary research profile focused on supramolecular chemistry and nanomaterials by virtue of the publication of an ebook, six book chapters (high-quality editorials), ca. of 50 articles with three front covers (in high impact factor international peer-reviewed journals) in diverse categories of material science, chemistry, and physics. Her research has been fully divulgated through several seminars and oral presentations in congresses along Europe. She participates in innovative teaching projects and other divulgation activities for teaching different aspects of “Nanoscience and Nanotechnology” to public community and introductory students.
Format of carbon based nanodots in sensing matters
A new class of fluorescent, colored, surfactant-free, water-soluble carbon-based nanodots emerged in the last decades as exceptional nanoemmitters owed to their fascinating and tunable optical properties . Amongst them, graphene quantum dots (GQDs) and carbon quantum dots (CQDs) became the most explored in the field of Analytical Nanoscience and Nanotechnology to improve analytical methods at any step of the sample treatment or detection stage.