前列腺癌
模块化设计
免疫分析
灵敏度(控制系统)
计算机科学
化学发光免疫分析
化学发光
危险分层
模式识别(心理学)
医学
滤波器(信号处理)
人工智能
计算生物学
诊断准确性
癌症
生物医学工程
癌症检测
准确度和精密度
流量(数学)
前列腺
计算机视觉
医学检查
临床诊断
病理
联轴节(管道)
图像处理
作者
Rong Hu,Xi Zhang,Liang Huang,J. Hu,Jing Wang
出处
期刊:ACS Nano
[American Chemical Society]
日期:2026-02-23
卷期号:20 (9): 7717-7729
标识
DOI:10.1021/acsnano.5c19650
摘要
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.
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