Chromophoric cerium oxide nanoparticle-loaded sucking disk-type strip sensor for optical measurement of glucose in tear fluid

Background Noninvasive monitoring of tear glucose levels can be convenient for patients to manage their diabetes mellitus. However, there are issues with monitoring tear glucose levels, such as the invasiveness of some methods, the miniaturization, inaccuracy, or the high cost of wearable devices. T...

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Published inBiomaterials research Vol. 27; no. 1; pp. 135 - 3068
Main Authors Park, Sijin, Nam, Dong Yeon, Jeon, Hee-Jae, Han, Jae Hoon, Jang, Dawon, Hwang, Juil, Park, Yeong-Seo, Han, Young-Geun, Choy, Young Bin, Lee, Dong Yun
Format Journal Article
LanguageEnglish
Published London BioMed Central 18.12.2023
BioMed Central Ltd
한국생체재료학회
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ISSN2055-7124
1226-4601
2055-7124
DOI10.1186/s40824-023-00469-5

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Summary:Background Noninvasive monitoring of tear glucose levels can be convenient for patients to manage their diabetes mellitus. However, there are issues with monitoring tear glucose levels, such as the invasiveness of some methods, the miniaturization, inaccuracy, or the high cost of wearable devices. To overcome the issues, we newly designed a sucking disk-type (SD) strip biosensor that can quickly suck tear fluid and contains cerium oxide nanoparticle (CNP) that causes a unique color change according to the glucose level of the tear without complicated electronic components. Methods The SD strip biosensor composed of three distinct parts (tip, channel, and reaction chamber) was designed to contain the sensing paper, onto which tear fluid can be collected and delivered. The sensing paper treated with CNP/APTS (aminopropyltriethoxysilane) /GOx (glucose oxidase) was characterized. Then we carried out the reliability of the SD strip biosensor in the diabetic rabbit animals. We quantitatively analyzed the color values of the SD strip biosensor through the colorimetric analysis algorithm. Results We contacted the inferior palpebral conjunctiva (IPC) of a diabetic rabbit eye using an SD strip biosensor to collect tears without eye irritation and successfully verified the performance and quantitative efficacy of the sensor. An image processing algorithm that can optimize measurement accuracy is developed for accurate color change measurement of SD strip biosensors. The validation tests show a good correlation between glucose concentrations measured in the tear and blood. Conclusion Our findings demonstrate that the CNP-embedded SD strip biosensor and the associated image processing can simply monitor tear glucose to manage diabetes mellitus. Graphical Abstract
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https://biomaterialsres.biomedcentral.com/counter/pdf/10.1186/s40824-023-00469-5.pdf
ISSN:2055-7124
1226-4601
2055-7124
DOI:10.1186/s40824-023-00469-5