使用电化学SERS和机器学习启用的多分散等离子体纳米粒子进行尿酸和肌素的定量复合
Tabitha Jones1,2, Deyue Zhou1,2, Jia Liu1,2
1Department of Chemistry, University College London, London, WC1H 0AJ, UK. tungchun.lee@ucl.ac.uk.
Journal of materials chemistry. B
|October 9, 2024
概括
这项研究引入了电化学表面增强拉曼光谱 (E-SERS) 与机器学习相结合,用于精确,多重检测尿酸和肌素生物标志物. 这种方法为临床应用提供了更好的灵敏度和预测准确性.
科学领域:
- 分析化学 分析化学
- 生物标志物检测检测 生物标志物检测
- 频谱学是一种光谱学.
背景情况:
- 表面增强拉曼光谱 (SERS) 对生物标志物检测有价值,但在复杂的生物流体中量化多种分析物方面面临挑战.
- 精确量化尿酸 (UA) 和肌素 (CRN) 等生物标志物对于临床诊断至关重要.
研究的目的:
- 开发UA和CRN的定量多重检测方法,使用与机器学习集成的电化学SERS (E-SERS).
- 提高SERS在复杂样本中的生物标志物分析的灵敏度和准确性.
主要方法:
- 用于E-SERS的多分散银纳米粒子 (NP) 的可扩展合成.
- 应用了两步的部分最小平方回归多层感知器 (PLSR-MLP) 机器学习算法来分析多维的E-SERS数据.
- 优化了用于E-SERS测量的应用潜力.
主要成果:
- 使用E-SERS实现了UA (0.127μM) 和CRN (0.354μM) 的低检测极限 (LoDs),明显低于传统的SERS.
- 使用PLSR-MLP模型在未见光谱中分析剂度的高预测精度 (0.94) 得到证明.
- 验证了可扩展的Ag NP在实现定量多重复合方面的性能.
结论:
- 结合E-SERS和机器学习,为多重生物标志物检测提供了一个强大而准确的平台.
- 这种方法显示出通过使复杂的生物样本中多种分析物的敏感和定量分析来推进临床诊断的巨大潜力.
相关概念视频
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Causative Organism
The primary infectious agent causing tuberculosis is Mycobacterium tuberculosis, a slow-growing, acid-fast, aerobic rod that exhibits sensitivity to heat and ultraviolet light. Instances of Mycobacterium bovis and Mycobacterium avium contributing to the development of TB infection are rare.
Mode of...
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Mode of...
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Here is a detailed explanation of its pathophysiology:
Transmission: The process begins when a person inhales droplet nuclei containing M. tuberculosis. These are typically released into the air when an individual with pulmonary or...
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Transmission: The process begins when a person inhales droplet nuclei containing M. tuberculosis. These are typically released into the air when an individual with pulmonary or...
Pulmonary Tuberculosis III
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The first classification is based on the development of the disease, and it includes the following categories:
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Tuberculosis, more commonly referred to as TB, is an infectious disease stemming from Mycobacterium tuberculosis. While it primarily impacts the lungs, TB can also affect other body areas. Given its severity and global impact, timely and accurate diagnosis is crucial for controlling its spread and improving patient outcomes.
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Medical management of tuberculosis (TB) patients involves a comprehensive approach that includes diagnosis, treatment, and monitoring. The specific strategies can vary depending on the type of tuberculosis (latent or active), the patient's overall health status, and other considerations.
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