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Biosensors & Bioelectronics|February 22, 2017
A novel turn-on fluorescent strategy for sensing ascorbic acid using graphene quantum dots as fluorescent probeHua Liu, Weidan Na, Ziping Liu, et al.
Analytica Chimica Acta|November 19, 2017
A novel fluorescence biosensor for sensitivity detection of tyrosinase and acid phosphatase based on nitrogen-doped graphene quantum dotsZhengyi Qu, Weidan Na, Xiaotong Liu, et al.
Talanta|October 23, 2016
Highly sensitive detection of acid phosphatase by using a graphene quantum dots-based förster resonance energy transferWeidan Na, Qing Liu, Bowen Sui, et al.
The Analyst|April 26, 2014
A label-free fluorescence detection strategy for lysozyme assay using CuInS₂ quantum dotsSiyu Liu, Weidan Na, Shu Pang, et al.
Journal of Materials Chemistry. B|April 9, 2020
Graphene quantum dots as selective fluorescence sensor for the detection of ascorbic acid and acid phosphatase via Cr(vi)/Cr(iii)-modulated redox reactionFanping Shi, Yu Zhang, Weidan Na, et al.
Materials Science & Engineering. C, Materials for Biological Applications|July 1, 2020
Biomimetic theranostic strategy for anti-metastasis therapy of breast cancer via the macrophage membrane camouflaged superparticlesBinbin Liang, Tao Deng, Jinping Li, et al.
RSC Advances|May 6, 2022
A dual-mode resonance Rayleigh scattering and colorimetric alkaline phosphatase assay based on in situ ascorbic acid-induced signal generation from manganese dioxide nanosheetsShiyu Liu, Xiaoxiao Song, Jinping Li, et al.
Analytica Chimica Acta|May 17, 2014
Fluorescence detection of adenosine-5'-triphosphate and alkaline phosphatase based on the generation of CdS quantum dotsSiyu Liu, Xinyan Wang, Shu Pang, et al.
Chemistry (Weinheim an Der Bergstrasse, Germany)|September 2, 2023
Sulfone/Carbonyl-Based Donor-Acceptor Fluorescent Dyes: Synthesis, Structures, Photophysical Properties and Cell ImagingWeidan Na, Lei An, Qiong Wu, et al.
Gels (Basel, Switzerland)|November 26, 2024
Alkali Ion-Accelerated Gelation of MXene-Based Conductive Hydrogel for Flexible Sensing and Machine Learning-Assisted RecognitionWeidan Na, Chao Xu, Lei An, et al.
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