Bio-IT Fusion Technology Research Institute, Pusan National University, Busan, 46241, South Korea; School of Nano Convergence Technology, Hallym University, Chuncheon, Gangwon-do, 24252, South Korea.
Bio-IT Fusion Technology Research Institute, Pusan National University, Busan, 46241, South Korea.
Biosens Bioelectron. 2021 Dec 15;194:113567. doi: 10.1016/j.bios.2021.113567. Epub 2021 Aug 14.
There is a growing interest in electronic nose-based diagnostic systems that are fast and portable. However, existing technologies are suitable only for operation in the laboratory, making them difficult to apply in a rapid, non-face-to-face, and field-suitable manner. Here, we demonstrate a DNA-derived phage nose (DpNose) as a portable respiratory disease diagnosis system requiring no pretreatment. DpNose was produced based on phage colour films implanted with DNA sequences from mammalian olfactory receptor cells, and as a result, it possesses the comprehensive reactivity of these cells. The manipulated surface chemistry of the genetically engineered phages was verified through a correlation analysis between the calculated and the experimentally measured reactivity. Breaths from 31 healthy subjects and 31 lung cancer patients were collected and exposed to DpNose without pretreatment. With the help of deep learning and neural pattern separation, DpNose has achieved a diagnostic success rate of over 75% and a classification success rate of over 86% for lung cancer based on raw human breath. Based on these results, DpNose can be expected to be directly applicable to other respiratory diseases.
人们对快速、便携的基于电子鼻的诊断系统越来越感兴趣。然而，现有的技术仅适用于实验室操作，因此很难以快速、非面对面和现场适用的方式应用。在这里，我们展示了一种基于 DNA 的噬菌体鼻（DpNose）作为一种无需预处理的便携式呼吸疾病诊断系统。DpNose 是基于植入了来自哺乳动物嗅觉受体细胞的 DNA 序列的噬菌体彩色薄膜制成的，因此它具有这些细胞的综合反应性。通过计算和实验测量反应性之间的相关性分析，验证了经过基因工程改造的噬菌体的表面化学处理。从 31 名健康受试者和 31 名肺癌患者收集呼吸样本，并在未经预处理的情况下暴露于 DpNose。借助深度学习和神经模式分离，DpNose 实现了超过 75%的肺癌诊断成功率和超过 86%的分类成功率，这是基于原始人类呼吸的结果。基于这些结果，DpNose 有望直接应用于其他呼吸疾病。
