1. Diameter distribution by deconvolution (DdD): Absorption spectra as a practical tool for semiconductor nanoparticle PSD determination
- Author
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Sara A. Bilmes, Diego Onna, Ignacio Perez Ipiña, Alvaro Mayoral, María Luz Martínez Ricci, Agustina Belén Fernández Casafuz, and M. Ricardo Ibarra García
- Subjects
Imagination ,Materials science ,Chemical substance ,Absorption spectroscopy ,media_common.quotation_subject ,Bioengineering ,Absorbance ,purl.org/becyt/ford/1 [https] ,Search engine ,size distribution ,purl.org/becyt/ford/1.4 [https] ,General Materials Science ,Thin film ,media_common ,exciton ,mesoporous oxides ,Otras Ciencias Químicas ,General Engineering ,Ciencias Químicas ,General Chemistry ,Atomic and Molecular Physics, and Optics ,Q-dots ,Particle size ,Deconvolution ,Biological system ,CIENCIAS NATURALES Y EXACTAS - Abstract
Semiconductor nanoparticles (SNPs) are excellent candidates for various applications in fields like solar cells, light emitting diodes or sensors. Their size strongly determines their properties, thus characterizing their size is crucial for applications. In most cases, they are included in complex matrices which make it difficult to determine their average diameter and statistical distribution. In this work, we present a non-destructive, cheap and in situ procedure to calculate particle size distributions (PSDs) of SNPs in different media based on deconvolution of the absorbance spectrum with a database of the absorbance spectra of SNPs with different sizes. The method was validated against the SNP sizes obtained from transmission microscopy images, showing excellent agreement between both distributions. In particular, CdS SNPs embedded in mesoporous thin films were analyzed in detail. Additional composite systems were studied in order to extend the method to SNPs in polymers or bacteria, proving that it applies to several SNPs in diverse matrices. The PSDs obtained from the proposed method do not show any statistical difference with the one derived from TEM images. Finally, a web app that implements the methodology of this work has been developed. Fil: Onna, Diego Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química, Física de los Materiales, Medioambiente y Energía. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Química, Física de los Materiales, Medioambiente y Energía; Argentina Fil: Perez Ipiña, Ignacio Martin. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina Fil: Fernández Casafuz, Agustina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina Fil: Mayoral, Álvaro. Shanghai Tech University; China. Universidad de Zaragoza; España Fil: Ibarra García, M. Ricardo. Universidad de Zaragoza; España Fil: Aldabe, Sara Alfonsina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química, Física de los Materiales, Medioambiente y Energía. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Química, Física de los Materiales, Medioambiente y Energía; Argentina Fil: Martinez Ricci, Maria Luz. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química, Física de los Materiales, Medioambiente y Energía. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Química, Física de los Materiales, Medioambiente y Energía; Argentina
- Published
- 2019