2022 Fiscal Year Final Research Report
Non-invasive prediction of blood lipid concentrations by mid-infrared attenuated total reflection measurement on the body surface
Project/Area Number |
20K12615
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Review Section |
Basic Section 90110:Biomedical engineering-related
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Research Institution | Tohoku University |
Principal Investigator |
Kino Saiko 東北大学, 医工学研究科, 学術研究員 (30536082)
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Co-Investigator(Kenkyū-buntansha) |
松浦 祐司 東北大学, 医工学研究科, 教授 (10241530)
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Project Period (FY) |
2020-04-01 – 2023-03-31
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Keywords | 血中脂質 / 無侵襲 / 中赤外分光 / PLS回帰 |
Outline of Final Research Achievements |
To measure blood lipid concentrations noninvasively, we attempted to predict blood lipid concentrations by multivariate analysis of infrared absorption spectra of human skin surface using an optical technique based on attenuated total reflection (ATR) in the mid-infrared region. The PLS prediction of blood TG concentration by one-off cross-validation showed a correlation coefficient of about 0.6 with the measured value, and that of blood LDL/HDL cholesterol concentration with the measured value was 0.8 or higher, which is relatively good. The regression line and the contribution of each absorptive wave number among different subjects were also consistent. Furthermore, for each cholesterol, predictability from a single absorption intensity was demonstrated, although the accuracy was lacking.
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Free Research Field |
赤外分光
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Academic Significance and Societal Importance of the Research Achievements |
無侵襲での血中脂質濃度計測を目的とし,中赤外減衰全反射(attenuated total reflection : ATR)法をベースとする光学的手法を用いて,ヒト皮膚表面の赤外吸収スペクトルを取得し,スペクトルからの多変量解析による血中脂質濃度の予測を試みた.皮膚表面のスペクトルにおいて摂食前後で変化の大きい吸収波数,また血中濃度PLS予測において寄与度の高い吸収波数に着目することにより,各脂質成分の代謝の過程を考察することができた.交差検証の結果,脂質成分によっては高い精度で堅牢な予測可能性を示し,「未病」の観点からも社会的要望の高い血中成分の無侵襲測定の実現に向け前進したといえる.
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