提升乳腺癌诊断:优化拉曼光谱技术以提前检测尿液
David Andras1,2, Ramona G Cozan3, Delia E Muresan1
11st Surgical Clinic, County Emergency Clinical Hospital, 400006 Cluj-Napoca, Romania.
Biomedicines
|February 26, 2025
概括
将尿液的pH值优化为9并将信号正常化为肌素,改善了用于癌症检测的表面增强拉曼光谱 (SERS). 这提高了液体活检中SERS分析的准确性和可解释性.
科学领域:
- 生物化学 生物化学
- 分析化学 分析化学
- 在瘤学瘤学.
背景情况:
- 表面增强拉曼光谱 (SERS) 显示出通过液体活检通过尿液检测癌症的前景.
- 临床转化受到生理变异 (pH,稀释) 和SERS信号不清楚的分子起源的限制.
- 了解SERS光谱变异对于癌症诊断中准确的机器学习分类至关重要.
研究的目的:
- 为了研究pH对尿液SERS光谱的影响.
- 为了阐明尿液中SERS信号的分子基础.
- 开发方法来提高癌症检测SERS分析的准确性和可解释性.
主要方法:
- 分析了乳腺癌患者 (n=18) 和对照组 (n=10) 的pH值为5,7和9的尿样.
- 研究模拟的尿液混合物 (尿酸,低丁,香丁,肌) 以了解依赖pH值的光谱变化.
- 规范化的SERS向肌素带 (1420厘米-1) 发出信号,以纠正尿液稀释效应.
主要成果:
- 在pH值9的尿液产生了最详细的SERS光谱特征.
- 性pH (9) 增强了素,尿酸和肌素的贡献,同时减少了素信号.
- 对肌素的正常化有效地减轻了稀释诱导的信号波动.
结论:
- 将尿液pH调整为9并将其正常化为肌素显著提高了SERS分析的解释性和准确性.
- 这些发现推动了基于SERS的液体活检工具的开发,用于癌症检测.
- 优化的SERS协议为癌症诊断中的临床翻译提供了实际的解决方案.
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