A colloidal gold test strip based on catalytic hairpin assembly for the clinical detection of influenza a virus nucleic acid

Yao, Yuming; Zou, Mingyuan; Wu, Huina; Ma, Shuo; Gu, Xiaoyu; Zhou, Meiling; Zhao, Fengfeng; Abudushalamua, Gulinazhaer; Xiao, Feng; Chen, Yaya; Cai, Shijie; Fan, Xiaobo; Wu, Guoqiu

doi:10.1016/j.talanta.2023.124855

Cited by 7 publications

(4 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The equation LOD = 3σ/ S was used to determine the limit of detection (LOD), where σ signifies the standard deviation of blank measurements and S represents the slope of the calibration curve . Amazingly, the proposed HRE-LFA strategy exhibits excellent sensitivity, achieving a LOD value as low as 4.8 aM, which is much higher than in previous reports. − Comparing with the FI T /FI C ratio and linear regression curve acquired from the HRE-LFA platform (Figure S8) for H1N1 full-genome detection, this work exhibits highly consistent detection limits and linear ranges with the gold standard method (Figure S7). Moreover, a comprehensive overview of previously documented methods for detecting influenza A virus is presented in Table S4, where the superiority can be observed obviously from our design.…”

Section: Resultsmentioning

confidence: 85%

HCR-Assisted RTF-EXPAR-Based Lateral Flow Analysis for Sensitive Detection of H1N1 Influenza Virus

Zhu,

Gu,

Tang

et al. 2024

Anal. Chem.

View full text Add to dashboard Cite

The H1N1 influenza virus is a significant pathogen responsible for seasonal influenza, and its frequent outbreaks pose substantial challenges to global public health. The present study successfully developed a lateral flow analysis platform that integrates reverse transcription-free exponential amplification reaction (RTF-EXPAR) and hybridization chain reaction (HCR) processes with functionalized quantum dots for the direct detection of H1N1 influenza virus RNA, eliminating the need for reverse transcription. The fluorescence signal on the band recorded with a smartphone can be utilized for the quantitative determination of the target. Interestingly, the dual signal amplification strategy exhibits high sensitivity with a remarkably low detection limit of 10 aM. Moreover, this platform exhibits excellent flexibility and universality, where the various pathogens can be determined by replacing the specific nucleic acid fragments in RTF-EXPAR. The aforementioned advantages reveal its huge potential in the early diagnosis of H1N1 influenza virus infection and developing point-of-care testing (POCT) equipment for nucleic acid analysis.

show abstract

Section: Resultsmentioning

confidence: 85%

HCR-Assisted RTF-EXPAR-Based Lateral Flow Analysis for Sensitive Detection of H1N1 Influenza Virus

Zhu,

Gu,

Tang

et al. 2024

Anal. Chem.

View full text Add to dashboard Cite

show abstract

“…with strict recognition and high affinity. 90,91,[93][94][95] Aptamerbased biosensors are expected to be one of the most exciting tools in the eld of bioassay. 87, 93 Fang Wang et al established aptamer-antibody complementation on multiwalled carbon nanotube-gold transduced dielectrode surfaces to detect pandemic swine inuenza virus by adopting multiple strategies.…”

Section: Virus Culture and Neutralization Methodsmentioning

confidence: 99%

“…8c). 95 Xianbo Qiu et al designed and implemented a instrument-free point-of-care molecular diagnosis based on the convective polymerase chain reaction (cPCR) and dipstick assay, in which the utility of the POC diagnostic system was demonstrated by detecting H1N1 virus with a sensitivity of 1.0 TCID 50 per mL within 35 min. Such developed systems are particularly needed for resource-poor environments, such as developing countries, outside of centralized laboratories, doctors' offices, and homes, to reduce the need for laboratory facilities and trained personnel (Fig.…”

Section: Point-of-care Strategiesmentioning

confidence: 99%

An overview of influenza A virus detection methods: from state-of-the-art of laboratories to point-of-care strategies

Peng,

Wang,

Xie

et al. 2024

Anal. Methods

View full text Add to dashboard Cite

show abstract

“…In recent years, colloidal gold test strips have become the predominant LFIA in the market, yielding visually discernible results [13][14][15][16]. However, significant batch-to-batch variations in colloidal gold products have led to a compromise in sensitivity.…”

Section: Introductionmentioning

confidence: 99%

Rapid and Sensitive Detection of Influenza B Virus Employing Nanocomposite Spheres Based on Ag-Doped ZnIn2S4 Quantum Dots

Hu,

Zhu,

et al. 2024

Chemosensors

View full text Add to dashboard Cite

Lateral flow immunoassay (LFIA) technology serves a significant role as a simple and rapid biosensor in the detection of influenza viruses. The focus of this study is the development of a rapid and convenient screening method for influenza B virus (IBV) proteins using a fluorescence lateral flow biosensor based on Ag-doped ZnIn2S4 quantum dots (Ag: ZIS QDs) as signal reporters. These Ag: ZIS QDs-emitting orange fluorescence are loaded onto dendritic mesoporous silica nanoparticles (DMSNs) and are further coated with a layer of silica shell to form a core–shell structured composite nanomaterial (SiO2 @ Ag: ZIS QDs @ DMSNs). The orange fluorescence effectively eliminates the interference of blue background fluorescence, significantly enhancing the detection sensitivity. This technology demonstrates outstanding performance in the immediate detection of IBV, with a minimum detection limit of 1 ng/mL, compared to the traditional colloidal gold strip with a detection limit of 6 ng/mL. Furthermore, both intra-assay and inter-assay coefficients of variation (CV) are less than 9%. This method holds promise for wide application in early diagnosis, epidemiological investigation, and epidemic surveillance of IBV.

show abstract

A colloidal gold test strip based on catalytic hairpin assembly for the clinical detection of influenza a virus nucleic acid

Cited by 7 publications

References 27 publications

HCR-Assisted RTF-EXPAR-Based Lateral Flow Analysis for Sensitive Detection of H1N1 Influenza Virus

HCR-Assisted RTF-EXPAR-Based Lateral Flow Analysis for Sensitive Detection of H1N1 Influenza Virus

An overview of influenza A virus detection methods: from state-of-the-art of laboratories to point-of-care strategies

Rapid and Sensitive Detection of Influenza B Virus Employing Nanocomposite Spheres Based on Ag-Doped ZnIn2S4 Quantum Dots

Contact Info

Product

Resources

About