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Updated: Jan 30, 2026

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一个pH补偿和峰值识别算法用于用汗液传感器对治疗药物的电压测量
Robbert J Nederhoff1, Annemarijn S M Steijlen2, Marc Parrilla3
1Electronic Instrumentation, Department of Microelectronics, Delft University of Technology, Mekelweg 4, Delft, 2628 CD, The Netherlands.
Talanta
|January 28, 2026
概括
这项研究引入了可穿戴汗液传感器的新算法,以准确测量药物水平,克服pH值变化和氨基酸干扰等挑战,以更好地监测治疗药物.
科学领域:
- 生物医学工程 生物医学工程
- 分析化学 分析化学
- 可穿戴技术可穿戴技术
背景情况:
- 治疗药物监测 (TDM) 传统上使用血液分析,这是侵入性和不方便的频繁监测.
- 电化学汗液传感器为连续药物度测量提供了一个非侵入性的替代方案.
- 汗水的复杂矩阵,包括pH值变化和氨基酸干扰,挑战传感器的准确性.
研究的目的:
- 为电压传感器开发新的算法,以增强汗水中的TDM.
- 解决和补偿影响药物测量的汗矩阵特定干扰.
- 为了实现治疗药物水平的准确,持续和非侵入性监测.
主要方法:
- 开发了一种算法来估计基于分析物的氧化潜力的汗水pH值,从而实现pH补偿.
- 实施高斯拟合和线性差异分析 (LDA) 来解决氨基酸和目标分析物的重叠峰值.
- 作为模型分析物,利用甲甲酸盐 (MTX),一种常见的癌症和自身免疫性疾病药物.
主要成果:
- 开发的算法有效地弥补了汗水矩阵中的pH值波动.
- 成功地分离和识别了MTX峰值,尽管存在的氨基酸的干扰.
- 在模拟的汗水环境中证明了准确的MTX检测的可行性.
结论:
- 这项研究提出了一种强大的方法,用于补偿电压传感器中的汗流矩阵干扰.
- 开发的算法为准确,低成本,可穿戴的传感器铺平了道路,用于持续的治疗药物监测.
- 这一进步通过实时药物水平评估支持个性化医疗.
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