中文摘要:基于电子鼻的快速便携式诊断系统越来越引起人们的兴趣。然而,现有技术仅适用于实验室操作,难以快速、非面对面和适合现场应用。本研究展示了一种DNA源性噬菌体鼻(D2pNose)作为便携式呼吸系统疾病诊断系统,无需预处理。D2pNose是将哺乳动物嗅觉受体细胞的DNA序列植入噬菌体彩色膜制备而成,它具备这些细胞的综合反应性。通过计算和实验测量的反应性之间的相关性分析,验证了基因工程噬菌体的表面化学。征集31名健康受试者和31名肺癌患者,并在无预处理的情况下让他们的呼吸暴露于D2pNose。在深度学习和神经模式分离的帮助下,D2pNose在人类呼吸的肺癌诊断成功率超过75%,分类成功率超过86%。由此可见,D2pNose有望直接应用于其他呼吸道疾病。
外文摘要: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 (D2pNose) as a portable respiratory disease diagnosis system requiring no pretreatment. D2pNose 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 D2pNose without pretreatment. With the help of deep learning and neural pattern separation, D2pNose 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, D2pNose can be expected to be directly applicable to other respiratory diseases.
外文关键词:Bioelectronic nose;Bacteriophage;Genetic engineering;Lung cancer;Surface chemistry
作者:Lee, JM;Choi, EJ;Chung, JH;Lee, KW;Lee, Y;Kim, YJ;Kim, WG;Yoon, SH;Seol, HY;Devaraj, V;Ha, JS;Lee, D;Kwon, SM;Kim, YS;Chang, CL;Oh, JW
作者单位:Pusan Natl Univ;Univ Illinois;Chungnam Natl Univ;Hallym Univ
期刊名称:BIOSENSORS & BIOELECTRONICS
期刊影响因子:0.0
出版年份:2021
出版刊次:194
点击下载:基于机器学习和人工神经处理的DNA源性噬菌体鼻诊断肺癌