Lateral flow assays(LFAs)are widely used in point-of-care testing(POCT)due to their simplicity and rapid operation.However,their reliance on passive capillary flow limits sensitivity,making it challenging to detect lo...Lateral flow assays(LFAs)are widely used in point-of-care testing(POCT)due to their simplicity and rapid operation.However,their reliance on passive capillary flow limits sensitivity,making it challenging to detect low-abundance biomarkers accurately.Approaches such as computer signal processing,chemical modification,and physical regulation have been explored to improve LFA sensitivity,but they remain limited by passive capillary-driven flow and uncontrollable flow rate.An alternative approach is to actively regulate fluid dynamics to optimize analyte binding and signal generation.The key challenge is to enhance LFA sensitivity while preserving compatibility with existing lateral flow strips(LFSs).Here,this study introduces a centrifugation-assisted LFA(CLFA)platform with smartphone-based result processing.This platform applies centrifugal force opposite to capillary flow,actively regulating fluid movement to optimize incubation time at the reaction zone and enhance detection performance.This approach increases signal intensity while maintaining a rapid detection process(5 min)and ensuring integration with traditional LFSs.As a proof-of-concept,the CLFA platform successfully detected human chorionic gonadotropin(hCG)and hemoglobin(Hb)in artificial urine without requiring custom-designed centrifugal discs or modified chromatography membranes.Its adaptability to diverse biomarkers and smartphone-based quantification make it a promising POCT tool,particularly in resource-limited settings.展开更多
基金financial support from the programs of the Natural Science Foundation of the Jiangsu Higher Education(24KJB460030)XJTLU RDF project(RDF-21-02-076)+4 种基金partially supported by the XJTLU AI University Research Centre,Jiangsu Province Engineering Research Centre of Data Science and Cognitive Computation at XJTLUthe SIP AI innovation platform(YZCXPT2022103)Jiangsu Provincial Outstanding Youth Program(BK20230072)Suzhou Industrial Foresight and Key Core Technology Project(SYC2022044)grants from Jiangsu QingLan Project and Jiangsu 333 high-level talents.
文摘Lateral flow assays(LFAs)are widely used in point-of-care testing(POCT)due to their simplicity and rapid operation.However,their reliance on passive capillary flow limits sensitivity,making it challenging to detect low-abundance biomarkers accurately.Approaches such as computer signal processing,chemical modification,and physical regulation have been explored to improve LFA sensitivity,but they remain limited by passive capillary-driven flow and uncontrollable flow rate.An alternative approach is to actively regulate fluid dynamics to optimize analyte binding and signal generation.The key challenge is to enhance LFA sensitivity while preserving compatibility with existing lateral flow strips(LFSs).Here,this study introduces a centrifugation-assisted LFA(CLFA)platform with smartphone-based result processing.This platform applies centrifugal force opposite to capillary flow,actively regulating fluid movement to optimize incubation time at the reaction zone and enhance detection performance.This approach increases signal intensity while maintaining a rapid detection process(5 min)and ensuring integration with traditional LFSs.As a proof-of-concept,the CLFA platform successfully detected human chorionic gonadotropin(hCG)and hemoglobin(Hb)in artificial urine without requiring custom-designed centrifugal discs or modified chromatography membranes.Its adaptability to diverse biomarkers and smartphone-based quantification make it a promising POCT tool,particularly in resource-limited settings.
