Biosensors and Analytical Detection

This paper develops high-throughput methods to optimize cell-free biosensors on paper, achieving cost-effective and heat-tolerant formulations for field use.

The paper develops an algorithm for designing LAMP assays and a computer vision tool for analyzing colorimetric outputs to detect antimicrobial resistance in Vibrio cholerae.

This paper develops a step-emulsion microfluidic device combined with digital-RPA for rapid, sensitive, and quantitative detection of Vibrio parahaemolyticus with a detection limit of 10 CFU/L.

The paper develops hierarchical Bayesian models to analyze LAMP amplification data and identifies factors affecting assay resolution using clinical samples and synthetic data.

The paper introduces a PAM-less Cas12a-based assay for rapid, sensitive visual detection of Vibrio species without requiring a PAM site, using T7 exonuclease and low-cost materials.

The paper develops a triplex lateral flow assay for detecting Nipah virus, MERS-CoV, and REBOV genomes with high sensitivity and specificity.

This paper develops a rapid, sensitive, and point-of-care FV3 detection system combining RPA-CRISPR/Cas12a with smartphone microscopy and deep learning, achieving 100% accuracy in classification.

The paper develops an electricity-free nucleic acid extraction method from dried blood spots on filter paper for point-of-care diagnostics, showing comparable performance to standard methods.

This study compares AS-Mini-LAMP and PSR for amplifying short DNA templates, finding AS-Mini-LAMP more effective for mutant allele detection.

This study attempts to develop an aptamer lateral-flow assay (ALFA) for detecting α-amanitin but fails to produce a colorimetric readout due to challenges with small molecule immobilization and binding mechanisms.

This study develops a direct multiplex RPA method for rapid, sensitive detection of S. aureus and P. aeruginosa in food samples without DNA extraction.

This study develops a rapid, sensitive RPA method for detecting L. monocytogenes in crude samples, achieving 1000-fold higher sensitivity than conventional PCR.

Rapidemic is a label-free DNAzyme-based platform for nucleic acid detection using RPA and LSDA, demonstrating visible color change without complex instrumentation.

This paper develops a low-cost food pathogen diagnostic workflow for low-resource settings and demonstrates its effectiveness in detecting E. coli O157 contamination in Cambodian produce.

This paper develops a CRISPR/Cas12a-based method for detecting Mycobacterium tuberculosis with high sensitivity and specificity using RPA and fluorescence detection.

This paper presents a low-cost, portable PCR platform using a graphene-based chip and disposable thermocycler for nucleic acid amplification, enabling visual monitoring and point-of-care testing.

This paper develops a multiplex isothermal diagnostic assay for detecting variable viral targets, demonstrating its effectiveness against divergent Zika virus lineages.

This paper develops a low-cost agglutination assay using E. coli-displayed nanobodies for detecting biomarkers with high selectivity and low detection limits, suitable for point-of-care testing.