Accurate Analysis of Carbohydrates via Thin-Layer Chromatography Based on Image Analysis and Color-Magnitude Model

• Project/Area Number: 17K06460
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Measurement engineering
• Research Institution: Wakayama University
• Principal Investigator: Ijima Hiroshi 和歌山大学, 教育学部, 教授 (90397604)
• Co-Investigator(Kenkyū-buntansha): 山口 真範 和歌山大学, 教育学部, 准教授 (20400129)
• Project Period (FY): 2017-04-01 – 2020-03-31
• Project Status: Completed (Fiscal Year 2019)
• Budget Amount: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000); Fiscal Year 2019: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000); Fiscal Year 2018: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000); Fiscal Year 2017: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
• Keywords: 化学分析 / 計測工学 / 画像解析 / クロマトグラフィー / 有機化学 / 数理解析 / 分析科学 / 数理工学 / 画像

Outline of Final Research Achievements

Carbohydrates play important roles in numerous physiological processes. In this research, a quantification method of the carbohydrate was proposed for samples of spot tests using the thin-layer chromatography (TLC) based on the scanned image analysis. The color density of image data was modeled by 2-dimensional Gaussian function and parameters in the Gaussian function were estimated by calculating marginal distribution and using least squares (LS) method. Sample image of the spots on the TLC plate were quantified as calculating the volume of Gaussian function. A numerical example was carried out for quantifying several kinds of the carbohydrates.

Academic Significance and Societal Importance of the Research Achievements

高度な化学分析の手法が開発されている現在であっても，リトマス試験紙のような分析者の目視に委ねられている分析方法が多く用いられている．本研究ではそのような分析手法の一つである薄層クロマトグラフィーに着目し，これまで目視で行っていた分析を自動化する手法を開発した．有効性の検証として，高度な分析手法と知られている高速液体クロマトグラフィーの分析結果と比較したところ，ほぼ同精度の結果を得ることができ，溶液濃度によっては，提案手法が優れていることが確認できた．この結果から本研究による開発手法は他の分析への応用が期待でき，化学分析を用いる様々な分野での利用が期待できる．

Research Products

• [Journal Article] スキャニング画像の色濃度モデルに基づいた薄層クロマトグラフィーによる糖分析の高精度化 (2019)
  • Author(s): 井嶋博、山口真範、山野彰夫、中筋隼都
  • Journal Title: 第62回自動制御連合講演会論文集 Volume: 1
• [Journal Article] Verification of 2D Gaussian Model of Concentration on TLC Plate for Image-Based Quantification of Carbohydrates (2017)
  • Author(s): Ijima, H., Yamaguchi, M., Nakasuji, H., and Yamano, A.
  • Journal Title: Proc. of 2nd International Conference on Applied Physics, System Science and Computers Volume: 1 Pages: 331-336
  • Peer Reviewed / Open Access
• [Presentation] Modeling and Simulation Studies on Development of Solutions on TLC for Verifying the Evolution of Components Based on the Scanned-Image Analysis (2019)
  • Author(s): H. Ijima and M. Yamaguchi
  • Organizer: International Congress on Industrial and Applied Mathematics（ICIAM2019）
  • Int'l Joint Research
• [Presentation] Quantification of Carbohydrate Based on Scan Image Analysis for TLC Technique Compensating Lack of Spot Overlaps: Some New Results (2019)
  • Author(s): M. Yamaguchi and H. Ijima
  • Organizer: International Congress on Industrial and Applied Mathematics（ICIAM2019）
  • Int'l Joint Research
• [Presentation] スキャニング画像の色濃度モデルに基づいた薄層クロマトグラフィーによる糖分析の高精度化 (2019)
  • Author(s): 井嶋博、山口真範、山野彰夫、中筋隼都
  • Organizer: 第62回自動制御連合講演会
• [Presentation] Motion Modeling of Solutions on the TLC Plate for Analyzing Carbohydrates by Using Image Capturing and Analysis (2018)
  • Author(s): Hiroshi Ijima, Masanori Yamaguchi, Hayato Nakasuji and Akio Yamano
  • Organizer: SIAM Conference on Image Science (IS18)
• [Presentation] Verification of 2D Gaussian Model of Concentration on TLC Plate for Image-Based Quantification of Carbohydrates (2017)
  • Author(s): Ijima, H., Yamaguchi, M., Nakasuji, H., and Yamano, A.
  • Organizer: 2nd International Conference on Applied Physics, System Science and Computers
  • Int'l Joint Research
• [Presentation] オーバーラップを考慮した画像解析に基づく TLC による糖溶液濃度の定量化 (2017)
  • Author(s): 中筋隼都、井嶋博、山口真範
  • Organizer: 第36回日本糖質学会年会