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<p>This study employs an N-carboxyanhydride ring-opening polymerization (NCA ROP) signal amplification strategy to construct a novel sensing system for the simple and rapid detection of tobacco mosaic virus RNA (tRNA). In the developed fluorescent biosensor, carboxylated biomagnetic beads serve as carriers for target capture based on the complementary pairing of the aptamer bases. Subsequently, NCA ROP fluorescent peptides are utilized as highly biocompatible signal carriers to achieve sensitive detection of the target. Under the optimal conditions, the biosensor exhibits a broad linear detection range from 1&#xa0;pM to 10&#xa0;nM, with a detection limit as low as 0.085&#xa0;pM. Furthermore, the fluorescent aptamer biosensor demonstrates robust affinity and reliability in recovery experiments involving healthy <i>Rehmannia glutinosa</i> leaf total RNA. This work establishes a robust platform for tRNA analysis, facilitating real-time and early diagnosis of various plant viruses.</p>

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High-Sensitivity Detection of Tobacco Mosaic Virus RNA Based on a Ring-Opening Polymerization Fluorescent Biosensor

  • 期刊论文

  • 发表日期：

    2025年3月19日

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  • Jing Yang,
  • Jihong Chen,
  • Yifan Li,
  • Hesen Wang,
  • Huaixia Yang,
  • Xiaofei Li,
  • Yanju Liu

摘要

This study employs an N-carboxyanhydride ring-opening polymerization (NCA ROP) signal amplification strategy to construct a novel sensing system for the simple and rapid detection of tobacco mosaic virus RNA (tRNA). In the developed fluorescent biosensor, carboxylated biomagnetic beads serve as carriers for target capture based on the complementary pairing of the aptamer bases. Subsequently, NCA ROP fluorescent peptides are utilized as highly biocompatible signal carriers to achieve sensitive detection of the target. Under the optimal conditions, the biosensor exhibits a broad linear detection range from 1 pM to 10 nM, with a detection limit as low as 0.085 pM. Furthermore, the fluorescent aptamer biosensor demonstrates robust affinity and reliability in recovery experiments involving healthy Rehmannia glutinosa leaf total RNA. This work establishes a robust platform for tRNA analysis, facilitating real-time and early diagnosis of various plant viruses.