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Ensuring the reliability of spectroscopy for rapid and nondestructive assessment: an approach from NMR metabolomics

Research Project

Project/Area Number 18H02161
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Review Section Basic Section 38050:Food sciences-related
Research InstitutionNational Agriculture and Food Research Organization

Principal Investigator

IKEHATA Akifumi  国立研究開発法人農業・食品産業技術総合研究機構, 食品研究部門, ユニット長 (40342745)

Co-Investigator(Kenkyū-buntansha) 関山 恭代  国立研究開発法人農業・食品産業技術総合研究機構, 食品研究部門, 上級研究員 (60342804)
Project Period (FY) 2018-04-01 – 2021-03-31
Project Status Completed (Fiscal Year 2020)
Budget Amount *help
¥17,810,000 (Direct Cost: ¥13,700,000、Indirect Cost: ¥4,110,000)
Fiscal Year 2020: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2019: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2018: ¥11,050,000 (Direct Cost: ¥8,500,000、Indirect Cost: ¥2,550,000)
Keywordsメタボローム解析 / 量子化学計算 / 近赤外分光法 / リアルタイム計測 / NMR
Outline of Final Research Achievements

Near-infrared spectroscopy has been widely used with the help of mechanical learning methods such as PLS regression. However, they are still used without knowing the cause. In this study, we used NMR-based metabolomic analysis to determine which metabolites are responsible for the signals used in non-destructive and rapid spectroscopic analysis. Correlation analyses with NMR revealed that wavelengths related to sugar were selected for apples, while wavelengths related to pectin hydrolysis were selected for peaches, which are a ripening fruit.

Academic Significance and Societal Importance of the Research Achievements

食品や農産物の非破壊迅速評価法として知られる近赤外分光法は,PLS回帰などの機械的学習手法の助けもあり,生産現場に広く普及している.しかし,それらは定量原理が不明なまま使い続けられているため,有害物質の検出や医療応用など,高い信頼性が求められる分野への進展が滞っている.したがって,非破壊・迅速分光分析の信頼性担保のため,検量モデルが成立するメカニズムの理解が急務である.これらの点から,近赤外センシングの作用機序を明らかにする方法論を構築した本研究の意義は大きいといえる.

Report

(4 results)
  • 2020 Annual Research Report   Final Research Report ( PDF )
  • 2019 Annual Research Report
  • 2018 Annual Research Report

Research Products

(9 results)

All 2021 2019 2018

All Presentation (8 results) (of which Int'l Joint Research: 3 results,  Invited: 2 results) Book (1 results)

  • [Presentation] NMRメタボロミクスによって近赤外スペクトルを理解する試み2019

    • Author(s)
      池羽田晶文,関山恭代
    • Organizer
      第35回近赤外フォーラム
    • Related Report
      2019 Annual Research Report
  • [Presentation] 非破壊分光分析によってメタボローム解析を補完する2019

    • Author(s)
      池羽田晶文
    • Organizer
      第13回メタボロームシンポジウム
    • Related Report
      2019 Annual Research Report
    • Invited
  • [Presentation] Opening the black box of NIR prediction for sugar content of fruits with the aid of NMR-based metabolomics2019

    • Author(s)
      Akifumi Ikehata, Yasuyo Sekiyama
    • Organizer
      International Near Infrared Spectroscopy (NIR2019)
    • Related Report
      2019 Annual Research Report
  • [Presentation] Opening the black box of NIR prediction for sugar content of fruits: a complementary analysis by aquaphotomics and metabolomics2018

    • Author(s)
      Akifumi Ikehata
    • Organizer
      The 3rd Aquaphotomics International Symposium
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] 近赤外非破壊果実糖度推定のブラックボックスを開く2018

    • Author(s)
      池羽田晶文,関山恭代
    • Organizer
      第12回メタボロームシンポジウム
    • Related Report
      2018 Annual Research Report
  • [Presentation] NMR-NIRヘテロ相関解析による非破壊果実糖度検量モデルの構造解明2018

    • Author(s)
      池羽田晶文,関山恭代
    • Organizer
      日本分析化学会第67年会
    • Related Report
      2018 Annual Research Report
  • [Presentation] Structure of NIR prediction models for Brix of fruits: An understanding from heterospectroscopy with 1H-NMR spectra2018

    • Author(s)
      Akifumi Ikehata, Yasuyo Sekiyama
    • Organizer
      International Conference on Advancing Molecular Spectroscopy
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] The working mechanism of prediction models for Brix of fruits by NIR spectroscopy: An understanding from correlation analysis with 1H-NMR spectra2018

    • Author(s)
      Akifumi Ikehata, Yasuyo Sekiyama
    • Organizer
      6th Asian NIR Symposium
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Book] メタボロミクス実践ガイド2021

    • Author(s)
      池羽田晶文,馬場健史,平山明由,松田史生,津川裕司ほか
    • Total Pages
      331
    • Publisher
      羊土社
    • ISBN
      4758122512
    • Related Report
      2020 Annual Research Report

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Published: 2018-04-23   Modified: 2022-01-27  

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