Feature Selection Assists BLSTM for the Ultrasensitive Detection of Bioflavonoids in Different Biological Matrices Based on the 3D Fluorescence Spectra of Gold Nanoclusters-Reference-Cited by-同舟云学术

Feature Selection Assists BLSTM for the Ultrasensitive Detection of Bioflavonoids in Different Biological Matrices Based on the 3D Fluorescence Spectra of Gold Nanoclusters

Published:2022-12-06 Issue:50 Volume:94 Page:17533-17540
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Noreldeen Hamada A. A.¹²^ORCID,Huang Kai-Yuan¹,Wu Gang-Wei¹³,Zhang Qi¹,Peng Hua-Ping¹^ORCID,Deng Hao-Hua¹^ORCID,Chen Wei¹^ORCID

Affiliation:

1. Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, School of Pharmacy, Fujian Medical University, Fuzhou 350004, China

2. National Institute of Oceanography and Fisheries, NIOF, Cairo 4262110, Egypt

3. Department of Pharmacy, Fujian Provincial Hospital, Fuzhou 350001, China

Funder

National Natural Science Foundation of China

Science and Technology Projects of Fujian Province

Program for Innovative Leading Talents in Fujian Province

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.2c03814