ReviewExploration (Beijing, China)2026
Revolutionizing Healthcare With Paper-Based Nucleic Acid Testing.
Review in Exploration (Beijing, China), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapid and accurate identification of nucleic acids (NAs) is essential to early diagnosis and treatment of disease in healthcare. Paper-based analytical devices (PADs) offer a preferred alternative to laborious, expensive, and time-consuming conventional nucleic acid testing (NAT) methods with considerable success. However, their development has been constrained by challenges in NA recognition and signal amplification within a restricted paper fiber network. Recently developed PADs, which establish a three-dimensional environment for NA reactions by the integration of porous fibers and modified substrate materials, are limited by the precision of base identification and user convenience. In this review, we focus on paper-based analytical devices with enhanced point-of-care applicability for NA detection and discuss the strategies for enhanced NA cascade signal amplification and background noise suppression. Emphasis is placed on the integrated detection of NA molecules from input to output, highlighting the effective signal amplification and rapid signal output of low-concentration NA molecules of the paper-based assay in complicated detection systems.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.