近红外光谱学作为一种活体分析人体肌肉的工具。
Near-infrared spectroscopy as a tool for in vivo analysis of human muscles.
机构信息
Academic Neurology Unit, A. Fiorini Hospital, Terracina (LT), Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Polo Pontino, Via Firenze snc, 04019, Terracina, LT, Italy.
Research Center for Biophotonics, Sapienza University of Rome, Polo Pontino, Corso della Repubblica 79, 04100, Latina, Italy.
出版信息
Sci Rep. 2019 Jun 13;9(1):8623. doi: 10.1038/s41598-019-44896-8.
Recent advances in materials and fabrication techniques provided portable, performant, sensing optical spectrometers readily operated by user-friendly cabled or wireless systems. Such systems allow rapid, non-invasive, and not destructive quantitative analysis of human tissues. This proof-of-principle investigation tested whether infrared spectroscopy techniques, currently utilized in a variety of areas, could be applied in living humans to categorize muscles. Using an ASD FieldSpec® 4 Standard-Res Spectroradiometer with a spectral sampling capability of 1.4 nm at 350-1000 nm and 1.1 nm at 1001-2500 nm, we acquired reflectance spectra in visible short-wave infra-red regions (350-2500 nm) from the upper limb muscles (flexors and extensors) of 20 healthy subjects (age 25-89 years, 9 women). Spectra off-line analysis included preliminary preprocessing, Principal Component Analysis, and Partial Least-Squares Discriminant Analysis. Near-infrared (NIR) spectroscopy proved valuable for noninvasive assessment of tissue optical properties in vivo. In addition to the non-invasive detection of tissue oxygenation, NIR spectroscopy provided the spectral signatures (ie, "fingerprints") of upper limb flexors and extensors, which represent specific, accurate, and reproducible measures of the overall biological status of these muscles. Thus, non-invasive NIR spectroscopy enables more thorough evaluation of the muscular system and optimal monitoring of the effectiveness of therapeutic or rehabilitative interventions.
最近，材料和制造技术的进步提供了便携式、高性能的光学传感器，这些传感器可以通过用户友好的有线或无线系统进行操作。这些系统允许对人体组织进行快速、非侵入性和非破坏性的定量分析。这项原理验证研究测试了目前在许多领域使用的红外光谱技术是否可以应用于活体人类，以对肌肉进行分类。我们使用 ASD FieldSpec® 4 标准分辨率光谱辐射计，其在 350-1000nm 范围内的光谱采样能力为 1.4nm，在 1001-2500nm 范围内的光谱采样能力为 1.1nm，从 20 名健康受试者（年龄 25-89 岁，9 名女性）的上肢肌肉（屈肌和伸肌）采集可见短波近红外区域（350-2500nm）的反射光谱。离线光谱分析包括初步预处理、主成分分析和偏最小二乘判别分析。近红外（NIR）光谱证明可用于非侵入性评估体内组织的光学特性。除了对组织氧合的非侵入性检测外，NIR 光谱还提供了上肢屈肌和伸肌的光谱特征（即“指纹”），这些特征代表了这些肌肉整体生物学状态的特定、准确和可重复的测量。因此，非侵入性的近红外光谱能够更全面地评估肌肉系统，并优化监测治疗或康复干预的效果。
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