Characterizing Variability in Non-Invasive Hydration Monitoring Using Raman Spectroscopy.

IF 2.2 3区 化学 Q2 INSTRUMENTS & INSTRUMENTATION Applied Spectroscopy Pub Date : 2024-12-26 DOI:10.1177/00037028241307043
Anna S Rourke-Funderburg, Laura J Elstub, Trevor Voss, Richard L Liao, Laura E Masson, Anita Mahadevan-Jansen
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Abstract

Significant dehydration can increase thermoregulatory and cardiovascular strain and impair physical and cognitive performance. Despite these negative effects, there are currently no objective, non-invasive tools to monitor systemic hydration. Raman spectroscopy is an optical modality with the potential to fill this gap because it is sensitive to water, provides results quickly, and can be applied non-invasively. In this work, high wavenumber Raman spectroscopy has been developed toward detection of systemic hydration via validation with tissue-mimicking phantoms, followed by three in vivo feasibility studies to investigate the relationship between spectral features and systemic hydration. The area under the curve (AUC) of the water bands and the ratio of water bands to CH bands are Raman-derived metrics that can be used to describe systemic hydration. Here, we determined a trend in decreasing water bands AUC after exercise, although the magnitude of the change was highly variable. In investigating the sources of variability, we identified significant inter-subject variability and a failure of current clinical standards to benchmark our developed technique against. Despite the high variability, we found that multiple anatomical locations were suitable for collecting the spectral measurements. While the high degree of variability may confound the use of Raman spectroscopy for non-invasive hydration monitoring, when implementing additional study standardization, significant differences (p <.05) in spectral metrics can be identified before and after exercise. Raman spectroscopy can allow for rapid, non-invasive detection of systemic hydration, which would improve routine hydration monitoring and reduce the incidence of negative side effects associated with dehydration.

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利用拉曼光谱表征无创水合监测的可变性。
严重脱水会增加体温调节和心血管压力,损害身体和认知能力。尽管有这些负面影响,目前还没有客观的、无创的工具来监测全身水合作用。拉曼光谱是一种有潜力填补这一空白的光学模式,因为它对水敏感,可以快速提供结果,并且可以非侵入性地应用。在这项工作中,高波数拉曼光谱已经发展到通过组织模拟模型验证来检测全身水化,随后进行了三次体内可行性研究来研究光谱特征与全身水化之间的关系。水带的曲线下面积(AUC)和水带与CH带的比值是拉曼导出的指标,可以用来描述全身水化。在这里,我们确定了运动后水带AUC下降的趋势,尽管变化的幅度变化很大。在调查可变性的来源时,我们发现了显著的主体间可变性和当前临床标准的失败,无法对我们开发的技术进行基准测试。尽管有很高的可变性,我们发现多个解剖位置适合收集光谱测量。虽然高度可变性可能会混淆拉曼光谱用于非侵入性水合监测的使用,但在实施额外的研究标准化时,显着差异(p
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来源期刊
Applied Spectroscopy
Applied Spectroscopy 工程技术-光谱学
CiteScore
6.60
自引率
5.70%
发文量
139
审稿时长
3.5 months
期刊介绍: Applied Spectroscopy is one of the world''s leading spectroscopy journals, publishing high-quality peer-reviewed articles, both fundamental and applied, covering all aspects of spectroscopy. Established in 1951, the journal is owned by the Society for Applied Spectroscopy and is published monthly. The journal is dedicated to fulfilling the mission of the Society to “…advance and disseminate knowledge and information concerning the art and science of spectroscopy and other allied sciences.”
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