通过磁性捕捉和深度学习实现开放式数字ELISA,用于快速和高度敏感地检测非洲猪瘟
Yonghong Zha1, Shufei Liao2, Yazhi Li2
1School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, China; Collaborative In-novation Center for the Development of Dabie Mountains Characteristic Resources, Hubei Key Labor-atories of Economic Forest Germplasm Improvement and Comprehensive Resources Utilization, College of Biology and Agricultural Resources, Huanggang Normal University, Huanggang, 438000, China.
Biosensors & bioelectronics
|February 6, 2026
概括
这项研究引入了一个开放式数字ELISA (OS-dELISA) 测试仪,用于快速检测非洲猪瘟病毒. 这种由人工智能驱动的平台提高了早期疾病诊断的灵敏度和准确性.
科学领域:
- 兽医诊断 兽医诊断 兽医诊断 兽医诊断
- 生物技术是生物技术.
- 人工智能在医学中的应用
背景情况:
- 非洲猪瘟 (ASF) 因其高死亡率和传染性而造成重大经济损失.
- 早期检测ASF病毒至关重要,需要对p30抗原进行敏感检测,特别是当病毒载量低时.
- 现有的数字ELISA方法在微腔利用和图像识别准确性方面存在局限性,影响灵敏度.
研究的目的:
- 开发一种新的开放式数字ELISA (OS-dELISA) 平台,用于高度敏感和准确地检测ASF病毒p30抗原.
- 将开放空间磁珠 (MB) 阵列与人工智能 (AI) 集成,以克服当前数字ELISA技术的局限性.
- 提高微腔利用率,抗原捕获效率和图像识别,以快速诊断动物疾病.
主要方法:
- 开发一个OS-dELISA平台,利用磁性捕捉来创建一个作为微腔的开放空间MB阵列.
- 整合反流式微流体和现场胺信号放大,以提高抗原捕获和检测灵敏度.
- 应用一个改进的面具基于区域的卷积神经网络,用于智能和准确的图像识别大数据集.
主要成果:
- 在17分钟内,OS-dELISA平台实现了高度敏感的p30检测,检测极限为21 fg/mL.
- 血清样本验证显示,对ASF病毒检测具有100%的灵敏度和95%的特异性.
- 集成AI的微流体系统显著提高了微腔利用率和抗原捕获效率.
结论:
- OS-dELISA平台为智能动物疾病诊断提供了强大而快速的工具,特别是非洲猪瘟.
- 将微流体与人工智能结合起来,可以提高诊断灵敏度和准确性,解决传统方法的局限性.
- 这种创新方法为开发动物传染病的先进诊断工具提供了基础.
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