建立FOF1-ATP合成酶分子马达生物传感器以准确识别结肠癌miRNA。用裂解离心法提取FOF1-ATP合成酶分子马达，采用ε亚基生物素-链霉亲和素-生物素系统连接到结肠癌特异性miR-17捕获探针上。设计双信号的信号探针以增加检测的准确性。当信号和捕获探针与目标miRNA结合时，FOF1-ATP合成酶的旋转速率会降低，导致ATP合成减少。通过ATP介导的化学发光强度和信号探针介导的OD450nm来确定miR-17的浓度。化学发光强度和OD450nm在5至200 nmol L-1范围内与miR-17浓度呈良好的线性关系（R2 = 0.9985，0.9989）。建立结肠癌小鼠模型，对血样和RNA提取物中的miR-17进行定量测定。结果与结肠癌进展一致，并且对低浓度的miR-17检测准确性可以与PCR检测法相媲美。总之，该方法是一种直接、快速、有前途的结肠癌miRNA检测方法。版权所有©2023 Elsevier Inc.发布。

To establish a FOF1-ATP synthase molecular motor biosensor to accurately identify colon cancer miRNAs.The FOF1-ATP synthase molecular motor is extracted by fragmentation-centrifugation and connected to the colon cancer-specific miR-17 capture probe in the manner of the ε subunit-biotin-streptavidin-biotin system. Signal probes are designed for dual-signal characterization to increase detection accuracy. The FOF1-ATPase rotation rate decreases when the signaling and capture probes are combined with the target miRNA, resulting in a decrease in ATP synthesis. miR-17 concentrations are determined by changes in ATP-mediated chemiluminescence intensity and signal probe-mediated OD450nm.The chemiluminescence intensity and OD450nm show a good linear relationship with the miR-17 concentration in the range of 5 to 200 nmol L-1 (R2 = 0.9985, 0.9989). The colon cancer mouse model is established for the blood samples, and miR-17 in serum and RNA extracts is quantitatively determined using the constructed sensor.The results are consistent with colon cancer progression, and the low concentration of miR-17 detecting accuracy is comparable to the PCR assay. In conclusion, the developed method is a direct, rapid, and promising method for miRNA detection of colon cancer.Copyright © 2023. Published by Elsevier Inc.