Publications by authors named "Yaxiang Luo"

Porcine epidemic diarrhea virus (PEDV) and porcine group A rotavirus (PoRVA) are predominant pathogens responsible for infectious diarrhea in porcine. Co-infections of PEDV and PoRVA have become a common situation in porcine farms in recent years, which increases the severity of the diarrhea disease and makes the accurate diagnosis more difficult. Rapid quantitation of PEDV and PoRVA is of great significance for the guarantee of disease control.

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Aptamers, a kind of short nucleotide sequences with high specificity and affinity with targets, have attracted extensive attention in recent years. Molecular docking method (MDM) is the most common method to explore the binding mode and recognition mechanism of aptamers and small molecules, which generally use the target to dock with the highest scoring tertiary structural model of the aptamer, and the highest scoring result is used as the predicted model. However, this prediction results may miss out the true interaction pattern due to the fact that aptamers are not completely rigid and the natural aptamers conformations are not in a single state.

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Porcine epidemic diarrhea virus (PEDV) and rotavirus has posed a significant threat to the pig industry annually across different nations, resulting in huge economic losses. The frequent co-infection of these two viruses in clinical settings complicates the process of differential diagnoses. Rapid and accurate detection of PEDV and rotavirus is in great demand for timely diarrhea disease prevention and control.

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The low detection sensitivity of lateral-flow immunochromatography assay (LFIA) based on spherical gold nanoparticle (AuNP) limits its wide applications. In the present study, AuNP dimers with strong plasma scattering and robust signal output were synthesized via the Ag ion soldering (AIS) strategy and used as labeled probes in LFIA to boost the sensitivity without any extra operation process and equipment. The established LFIA exhibited high sensitivity with a limit of detection (LOD) of 2.

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