Artificial intelligence-integrated smartphone-based handheld detection of fluoride ion by Al<sup>3+</sup>-triggered aggregation-induced red-emssion enhanced carbon dots.

Yan, Liru; Zhang, Bianxiang; Zong, Zhiwei; Zhou, Wei; Shuang, Shaomin; Shi, Lihong

Artificial intelligence-integrated smartphone-based handheld detection of fluoride ion by Al³⁺-triggered aggregation-induced red-emssion enhanced carbon dots.

Yan, Liru; Zhang, Bianxiang; Zong, Zhiwei; Zhou, Wei; Shuang, Shaomin; Shi, Lihong.

Afiliación

Yan L; College of Chemistry and Chemical Engineering, Shanxi University, Taiyuan 030006, PR China.
Zhang B; College of Chemistry and Chemical Engineering, Shanxi University, Taiyuan 030006, PR China.
Zong Z; School of Computer and Information Technology, Shanxi University, Taiyuan 030006, PR China.
Zhou W; College of Chemistry and Chemical Engineering, Shanxi University, Taiyuan 030006, PR China.
Shuang S; College of Chemistry and Chemical Engineering, Shanxi University, Taiyuan 030006, PR China.
Shi L; College of Chemistry and Chemical Engineering, Shanxi University, Taiyuan 030006, PR China. Electronic address: shilihong@sxu.edu.cn.

J Colloid Interface Sci ; 651: 59-67, 2023 Dec.

Article en En | MEDLINE | ID: mdl-37540930

Palabras clave

Aggregation-induced emssion; Artificial intelligence; Carbon dots; F(−); Smartphone-based sensing; YOLO v3 algorithm

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: J Colloid Interface Sci Año: 2023 Tipo del documento: Article

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: J Colloid Interface Sci Año: 2023 Tipo del documento: Article