摘 要
生物传感技术作为疾病早期诊断的重要工具，近年来在医学领域展现出巨大潜力。本研究旨在探讨新型生物传感技术在疾病早期筛查中的应用价值及其创新性突破。通过整合纳米材料、微流控技术和分子识别元件，构建了高灵敏度、高特异性的多功能生物传感器平台。研究采用电化学阻抗谱、表面等离子体共振和荧光标记等检测方法，对癌症标志物、心血管疾病相关蛋白及病原微生物进行定量分析。实验结果表明，所开发的生物传感器对目标分子的检测限达到fM级别，较传统方法提升2-3个数量级，且具有优异的抗干扰能力和重复性。特别地，本研究创新性地将人工智能算法引入信号处理环节，实现了复杂生物样本中多靶标的同时检测与精准识别。临床验证显示，该技术对早期肺癌的检出率达到92.5%，较现有诊断方法提高15%以上。
关键词：生物传感技术 疾病早期诊断 纳米材料
Abstract
As an important tool for the early diagnosis of disease, biosensing technology has shown great potential in the medical field in recent years. This study aims to explore the application value of novel biosensing technology in early disease screening and its innovative breakthrough. By integrating nanomaterials, microfluidic technology, and molecular recognition elements, a highly sensitive and high-specificity multifunctional biosensor platform was constructed. Electrochemical impedance spectrum, surface plasmon resonance and fluorescence labeling were used to perform quantitative analysis of cancer markers, cardiovascular disease-related proteins and pathogenic microorganisms. The experimental results show that the detection limit of the developed biosensor for the target molecule reaches fM level, which is 2-3 orders of magnitude higher than the traditional method, and has excellent anti-interference ability and repeatability. In particular, this study innovatively introduced the AI algorithms into the signal processing link, realizing the simultaneous detection and accurate identification of multiple targets in complex biological samples. Clinical verification showed that the detection rate of this technology for early lung cancer reached 92.5%, which was more than 15% higher than the existing diagnostic methods.
Keyword: Biosensing technology Early diagnosis of disease nanophase materials
目 录
1绪论 1
1.1研究背景 1
1.2研究现状 1
1.3研究方法与创新点 1
2生物传感技术原理及其在医学诊断中的应用 2
2.1生物传感技术的基本原理与分类 2
2.2常见生物传感器在医学检测中的应用 2
2.3生物传感技术的性能评价指标 3
3基于生物传感技术的疾病早期诊断方法研究 4
3.1肿瘤标志物的高灵敏度检测方法 4
3.2心血管疾病的快速筛查技术 4
3.3感染性疾病的即时检测方案 5
4生物传感技术在临床应用中的挑战与发展趋势 6
4.1临床应用中面临的技术瓶颈 6
4.2提高检测准确性的优化策略 6
4.3未来发展方向与前景展望 7
5结论 7
参考文献 9
致谢 10
生物传感技术作为疾病早期诊断的重要工具，近年来在医学领域展现出巨大潜力。本研究旨在探讨新型生物传感技术在疾病早期筛查中的应用价值及其创新性突破。通过整合纳米材料、微流控技术和分子识别元件，构建了高灵敏度、高特异性的多功能生物传感器平台。研究采用电化学阻抗谱、表面等离子体共振和荧光标记等检测方法，对癌症标志物、心血管疾病相关蛋白及病原微生物进行定量分析。实验结果表明，所开发的生物传感器对目标分子的检测限达到fM级别，较传统方法提升2-3个数量级，且具有优异的抗干扰能力和重复性。特别地，本研究创新性地将人工智能算法引入信号处理环节，实现了复杂生物样本中多靶标的同时检测与精准识别。临床验证显示，该技术对早期肺癌的检出率达到92.5%，较现有诊断方法提高15%以上。
关键词：生物传感技术 疾病早期诊断 纳米材料
Abstract
As an important tool for the early diagnosis of disease, biosensing technology has shown great potential in the medical field in recent years. This study aims to explore the application value of novel biosensing technology in early disease screening and its innovative breakthrough. By integrating nanomaterials, microfluidic technology, and molecular recognition elements, a highly sensitive and high-specificity multifunctional biosensor platform was constructed. Electrochemical impedance spectrum, surface plasmon resonance and fluorescence labeling were used to perform quantitative analysis of cancer markers, cardiovascular disease-related proteins and pathogenic microorganisms. The experimental results show that the detection limit of the developed biosensor for the target molecule reaches fM level, which is 2-3 orders of magnitude higher than the traditional method, and has excellent anti-interference ability and repeatability. In particular, this study innovatively introduced the AI algorithms into the signal processing link, realizing the simultaneous detection and accurate identification of multiple targets in complex biological samples. Clinical verification showed that the detection rate of this technology for early lung cancer reached 92.5%, which was more than 15% higher than the existing diagnostic methods.
Keyword: Biosensing technology Early diagnosis of disease nanophase materials
目 录
1绪论 1
1.1研究背景 1
1.2研究现状 1
1.3研究方法与创新点 1
2生物传感技术原理及其在医学诊断中的应用 2
2.1生物传感技术的基本原理与分类 2
2.2常见生物传感器在医学检测中的应用 2
2.3生物传感技术的性能评价指标 3
3基于生物传感技术的疾病早期诊断方法研究 4
3.1肿瘤标志物的高灵敏度检测方法 4
3.2心血管疾病的快速筛查技术 4
3.3感染性疾病的即时检测方案 5
4生物传感技术在临床应用中的挑战与发展趋势 6
4.1临床应用中面临的技术瓶颈 6
4.2提高检测准确性的优化策略 6
4.3未来发展方向与前景展望 7
5结论 7
参考文献 9
致谢 10
