Emission color-tuning via anion exchange in CdSe/ZnS nanocrystals: unraveling local atomic structure by XAFS analysis and in vitro study for nanoprobe development (2022)
- Authors:
- USP affiliated authors: BRITO, HERMI FELINTO DE - IQ ; MASCIO, PAOLO DI - IQ ; KHAN, ZAHID ULLAH - IQ
- Unidade: IQ
- Assunto: ENDOCITOSE
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Sociedade Brasileira de Química/SBQ
- Publisher place: São Paulo
- Date published: 2022
- Source:
- Título: Anais
- Conference titles: Reunião Anual da Sociedade Brasileira de Química
-
ABNT
KHAN, Zahid Ullah et al. Emission color-tuning via anion exchange in CdSe/ZnS nanocrystals: unraveling local atomic structure by XAFS analysis and in vitro study for nanoprobe development. 2022, Anais.. São Paulo: Sociedade Brasileira de Química/SBQ, 2022. Disponível em: http://www.sbq.org.br/45ra/anexos/45RASBQ_resumos.pdf. Acesso em: 01 out. 2024. -
APA
Khan, Z. U., Khan, L. U., Brito, H. F. de, & Di Mascio, P. (2022). Emission color-tuning via anion exchange in CdSe/ZnS nanocrystals: unraveling local atomic structure by XAFS analysis and in vitro study for nanoprobe development. In Anais. São Paulo: Sociedade Brasileira de Química/SBQ. Recuperado de http://www.sbq.org.br/45ra/anexos/45RASBQ_resumos.pdf -
NLM
Khan ZU, Khan LU, Brito HF de, Di Mascio P. Emission color-tuning via anion exchange in CdSe/ZnS nanocrystals: unraveling local atomic structure by XAFS analysis and in vitro study for nanoprobe development [Internet]. Anais. 2022 ;[citado 2024 out. 01 ] Available from: http://www.sbq.org.br/45ra/anexos/45RASBQ_resumos.pdf -
Vancouver
Khan ZU, Khan LU, Brito HF de, Di Mascio P. Emission color-tuning via anion exchange in CdSe/ZnS nanocrystals: unraveling local atomic structure by XAFS analysis and in vitro study for nanoprobe development [Internet]. Anais. 2022 ;[citado 2024 out. 01 ] Available from: http://www.sbq.org.br/45ra/anexos/45RASBQ_resumos.pdf - Strategy to probe the local atomic structure of luminescent rare earth complexes by X-ray absorption near-edge spectroscopy simulation using a machine learning-based PyFitIt approach
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