Departments of Electrical Engineering, Creative IT Engineering, and Mechanical Engineering, and School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-Ro, Nam-Gu, Pohang, Gyeongbuk, 37673, Republic of Korea.
Sci Rep. 2020 Aug 7;10(1):13361. doi: 10.1038/s41598-020-70305-6.
Regular and frequent blood glucose monitoring is vital in managing diabetes treatment plans and preventing severe complications. Because current invasive techniques impede patient compliance and are not infection-free, many noninvasive methods have been proposed. Among them, optical methods have drawn much attention for their rich optical contrast, but their resolution is degraded in deep tissue. Here, we present an ultrasound-modulated optical sensing (UOS) technique to noninvasively monitor glucose that uses an infrared laser (1645 nm) and a single-element focused ultrasound transducer. Focused ultrasound waves can acoustically localize diffused photons in scattering media, and thus optical contrast can be represented with much enhanced spatial resolution. To maximize the signal-to-noise ratio, we compared the modulation depths of UOS signals in both continuous and burst ultrasound transmission modes. Finally, UOS measurements of various glucose concentrations are presented and compared with those acquired in phantoms with a conventional diffuse optical sensing method. The UOS measurements in a 20 mm thick tissue-mimicking phantom show 26.6% accuracy in terms of mean absolute relative difference (MARD), which indicates the great potential of the proposed technique as a noninvasive glucose sensor.
定期和频繁的血糖监测对于管理糖尿病治疗方案和预防严重并发症至关重要。由于目前的侵入性技术阻碍了患者的依从性,并且不能做到无感染,因此已经提出了许多非侵入性方法。在这些方法中,光学方法因其丰富的光学对比度而引起了广泛关注,但在深部组织中其分辨率会降低。在这里,我们提出了一种利用红外激光(1645nm)和单个聚焦超声换能器的超声调制光学传感(UOS)技术,以非侵入性地监测血糖。聚焦超声波可以在散射介质中声定位漫射光子,从而可以用大大提高的空间分辨率来表示光学对比度。为了最大化信噪比,我们比较了连续和突发超声传输模式下 UOS 信号的调制深度。最后,呈现了各种葡萄糖浓度的 UOS 测量结果,并与使用传统漫射光学传感方法在体模中获得的测量结果进行了比较。在 20mm 厚的组织模拟体模中的 UOS 测量结果在平均绝对相对差异(MARD)方面的准确性为 26.6%,这表明了所提出的技术作为一种非侵入性葡萄糖传感器的巨大潜力。