A Dual-Hue Recognizable Lateral Flow Immunoassay Corresponding to Distinct Sensitivity Ranges for Timely and Quantitative Diagnosis of Prostate Cancer

Early cancer screening is pivotal for reducing mortality yet remains constrained by the trade-off between analytical accuracy and operational simplicity. Here, we present a dual-hue recognizable lateral flow immunoassay (DHLFIA) that enables rapid, quantitative, and user-friendly detection of prostate cancer biomarkers. The platform integrates dual-ratiometric fluorescence transitions, establishing two hue recognition pathways (green-to-red and blue-to-red) with distinct sensitivities for the precise quantification of total (t-PSA) and free (f-PSA) prostate-specific antigens. The differentiated color responsiveness of the two ratio system, governed by the inner filter effect, was elucidated both theoretically and experimentally. This dual-hue strategy enables semiquantitative visual discrimination of the clinically significant "gray zone" (t-PSA: 4-10 ng/mL) by the naked eyes, while smartphone-based tonal analysis of the f-PSA/t-PSA ratio (cutoff = 0.16) allows accurate risk stratification within this range. Validated with clinical serum samples, the DHLFIA achieved a diagnostic accuracy of 96.7%, comparable to chemiluminescent assays, yet offered markedly improved speed and ease of operation. By coupling a modular design with dual-ratiometric readout principles, this work establishes a generalizable framework for multiplexed, point-of-care diagnostics of noncommunicable diseases.

Authors

Institutions

Publication Details

Journal
ACS Nano
Published
2026-02-23
DOI
https://doi.org/10.1021/acsnano.5c19650
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Dual-Hue Recognizable Lateral Flow Immunoassay Corresponding to Distinct Sensitivity Ranges for Timely and Quantitative Diagnosis of Prostate Cancer

Liang Huang, J. Hu, Xi Zhang, Rong Hu et al.
ACS Nano
Biosensors and Analytical Detection
article

A Dual-Hue Recognizable Lateral Flow Immunoassay Corresponding to Distinct Sensitivity Ranges for Timely and Quantitative Diagnosis of Prostate Cancer

Liang Huang, J. Hu, Xi Zhang, Rong Hu, Yi-Xiang Wang
article en

Abstract

Early cancer screening is pivotal for reducing mortality yet remains constrained by the trade-off between analytical accuracy and operational simplicity. Here, we present a dual-hue recognizable lateral flow immunoassay (DHLFIA) that enables rapid, quantitative, and user-friendly detection of prostate cancer biomarkers. The platform integrates dual-ratiometric fluorescence transitions, establishing two hue recognition pathways (green-to-red and blue-to-red) with distinct sensitivities for the precise quantification of total (t-PSA) and free (f-PSA) prostate-specific antigens. The differentiated color responsiveness of the two ratio system, governed by the inner filter effect, was elucidated both theoretically and experimentally. This dual-hue strategy enables semiquantitative visual discrimination of the clinically significant "gray zone" (t-PSA: 4-10 ng/mL) by the naked eyes, while smartphone-based tonal analysis of the f-PSA/t-PSA ratio (cutoff = 0.16) allows accurate risk stratification within this range. Validated with clinical serum samples, the DHLFIA achieved a diagnostic accuracy of 96.7%, comparable to chemiluminescent assays, yet offered markedly improved speed and ease of operation. By coupling a modular design with dual-ratiometric readout principles, this work establishes a generalizable framework for multiplexed, point-of-care diagnostics of noncommunicable diseases.

ACS NanoVol. 20(9)
Institute of Navigation (US), Chemical Synthesis Lab (SG), Zhejiang University of Technology (CN)
Openalex Percentile: Top 46%
Biosensors and Analytical Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.