Deep learning assisted quantitative detection of cardiac troponin I in hierarchical dendritic copper–nickel nanostructure lateral flow immunoassay DOI
Shenglan Zhang,

Liqiang Chen,

Yuxin Tan

et al.

Analytical Methods, Journal Year: 2024, Volume and Issue: 16(39), P. 6715 - 6725

Published: Jan. 1, 2024

This paper proposes a deep learning-based method using an improved UNet++ network with attention and residual modules to enhance quantitative detection accuracy in HD-nanoMetal LFIA sensor images.

Language: Английский

Zero Background Visualizing Phosphorescence Lateral Flow Immunoassay of Cardiac Troponin I for Rapid and Accurate Diagnosis of Myocardial Infarction DOI

Qingwei Song,

Zixuan Liao,

Zheng Lin

et al.

Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 8, 2025

Fluorescence lateral flow immunoassays (FL-LFIA) have attracted considerable attention in clinical diagnosis due to their outstanding merits of affordable, sensitive, on-site, and quick detection. However, they are still plagued by significant signal interference, such as autofluorescence scattered light. The development high-performance robust phosphors, i.e., label probes featuring with the character low/no optical background, remains a great challenge. Herein, we report novel visualized phosphorescence LFIA (Phos-LFIA), where composite microspheres, carbon dots (CDs) covalently embedded dendritic mesoporous silicon nanoparticles (DMSNs), were designed selected probes. obtained CDs@DMSNs revealed uniform morphologies particle sizes, well ultralong (lifetime: 1.14 s, visible for over 8 s naked eyes) room temperature (RTP) aqueous solution. As competitive nanotags, an phosphorescence-based time-gated cardiac troponin I (cTnI) without interference. fabricated Phos-LFIA test strips demonstrated zero-background applied highly sensitive cTnI detection both buffer complex serum matrix, corresponding limits (LODs) 0.19 0.21 ng/mL, respectively. For validation, proposed excellent analytical performance (sensitivity: 95.45%, specificity: 88.9%, κ value: 0.85), demonstrating its potential rapid accurate myocardial infarction. This work provided promising background-free probe FL-LFIA, it would also open opportunity developing screening platforms other targets through modifying different recognition ligands onto CDs@DMSNs.

Language: Английский

Citations

2
Ferrous Tungstate Nanomaterials with Excellent Enzyme-Mimicking Activity to Enhance Lateral Flow Immunoassay Sensitivity DOI

Xianqing Tang,

Hua Zhang, Jinghuang Chen

et al.

Analytical Chemistry, Journal Year: 2025, Volume and Issue: 97(5), P. 2714 - 2723

Published: Jan. 30, 2025

Lateral flow immunochromatography (LFIA) with gold nanoparticles (AuNPs) is widely used in the biomedical field as a rapid and simple vitro detection technique. However, conventional AuNP-LFIA has limitations sensitivity range. In this study, nonprecious metal iron-based bimetallic FeWO4 nanomaterials convenient excellent enzyme-mimetic catalytic activities were synthesized by one-pot hydrothermal method. Here, combined C-reactive protein (CRP) antibodies to form novel signal-enhancing probe for analysis of CRP. The further achieves significant signal amplification catalyzing oxidation reaction 3-amino-9-ethylcarbazole LFIA assay, thereby improving accuracy assay. application FeWO4-based improved limit CRP 19.38 ng/mL after amplification, which approximately 30-fold lower than that addition, method demonstrated good stability reproducibility, providing promising prospective strategy early diagnosis inflammatory diseases.

Language: Английский

Citations

1
Development of novel poly(1,4-benzenedithiol) nanoparticles@AuNPs lateral flow immunochromatographic test strips DOI
Yao Yu, Yafei Li, Qing Hua

et al.

Analytical Methods, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

In this paper, poly(1,4-benzenedithiol) nanoparticles (PBDT) were used to support AuNPs. Cardiac troponin I (cTnI) was as the model analyte verify efficacy and reliability of PBDT@AuNPs LFIA test strips.

Language: Английский

Citations

1
A template-free one-step synthesis of trimetallic nano-triangular structures significantly enhances the sensitivity of lateral flow immunoassays for acetamiprid detection DOI

Jiahao Li,

Baoshan He, Wenjie Ren

et al.

Analytica Chimica Acta, Journal Year: 2025, Volume and Issue: 1352, P. 343938 - 343938

Published: March 13, 2025

Language: Английский

Citations

0
Colorimetric-Fluorescent Dual-Mode Background Fluorescence-Quenching Lateral Flow Immunoassay: Principle, Modeling, and Application to Folic Acid Detection DOI

Wenlin Zhao,

Jishun Li, Shenglan Zhang

et al.

Talanta, Journal Year: 2025, Volume and Issue: unknown, P. 128202 - 128202

Published: April 1, 2025

Language: Английский

Citations

0
Paper-based analytical device with instrument-free visual signal: A review DOI

Jia Xu,

S. L. Zang,

S. Han

et al.

Microchemical Journal, Journal Year: 2025, Volume and Issue: unknown, P. 113741 - 113741

Published: April 1, 2025

Language: Английский

Citations

0
Deep learning assisted quantitative detection of cardiac troponin I in hierarchical dendritic copper–nickel nanostructure lateral flow immunoassay DOI
Shenglan Zhang,

Liqiang Chen,

Yuxin Tan

et al.

Analytical Methods, Journal Year: 2024, Volume and Issue: 16(39), P. 6715 - 6725

Published: Jan. 1, 2024

This paper proposes a deep learning-based method using an improved UNet++ network with attention and residual modules to enhance quantitative detection accuracy in HD-nanoMetal LFIA sensor images.

Language: Английский

Citations

1