View in EDS

Machine learning-assisted ratiometric fluorescent sensing platform based on antenna effect in Tb-doped metal-organic framework for visual quantification of enoxacin.

Saved in:
Bibliographic Details
Title: Machine learning-assisted ratiometric fluorescent sensing platform based on antenna effect in Tb-doped metal-organic framework for visual quantification of enoxacin.
Authors: Han Y; The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan 430074, China., Lu H; The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan 430074, China., Liu H; Alashankou Customs Technical Center, Alashankou 833418, PR China., Chen H; The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan 430074, China., Lan W; The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan 430074, China., Lv X; Alashankou Customs Technical Center, Alashankou 833418, PR China., Long W; The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan 430074, China. Electronic address: longwanjun@scuec.edu.cn., Fu H; The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan 430074, China.
Source: Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy [Spectrochim Acta A Mol Biomol Spectrosc] 2026 May 05; Vol. 352, pp. 127517. Date of Electronic Publication: 2026 Jan 24.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 9602533 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-3557 (Electronic) Linking ISSN: 13861425 NLM ISO Abbreviation: Spectrochim Acta A Mol Biomol Spectrosc Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-3557
DOI:10.1016/j.saa.2026.127517