Development of storage technique for promoting functional component contents in tomato fruits

2022 Fiscal Year Final Research Report

• Project/Area Number: 19K06318
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 41040:Agricultural environmental engineering and agricultural information engineering-related
• Research Institution: Ehime University
• Principal Investigator: TAKAHASHI NORIKO 愛媛大学, 農学研究科, 准教授 (80533306)
• Project Period (FY): 2019-04-01 – 2023-03-31
• Keywords: 非破壊計測 / トマト / 近赤外分光法 / ニューラルネットワークモデル / リコペン

Outline of Final Research Achievements

The objective of this study was to develop the model for estimating lycopene content after storage using spectral data before storage and storage duration. Tomato fruits after harvesting were stored at 5, 15, 25 and 35 ℃ in cool incubator for 14 days. The spectrum data tomato fruits were measured with Visible/Near-infrared spectroscopy non-destructively. Lycopene content after storage was estimated using neural network (NN) model with spectral data before storage and storage duration.
The estimation model of lycopene content after storage were evaluated with the validation data set and R2 was 0.99 and RMSE was 0.68 using NN. Our results suggested that the NN model with the spectral data of tomato fruits before storage and storage duration could be used for the estimation of lycopene content after storage and this technique might be contributed to increase the lycopene content with controlling storage condition.

Free Research Field

農業環境工学

Academic Significance and Societal Importance of the Research Achievements

トマトには、カロテノイドの中でも秀でた抗酸化作用を持つリコペンが含まれており、リコペンを多く含む機能性野菜の生産が期待されている。研究成果のモデルを利用してリコペン生成に最適に貯蔵環境を制御することにより、トマト1果実あたりに含まれるリコペン含量を15 mg以上に増加させることで、厚生省で推奨されているリコペンの効果的な摂取量を1果実で補うことが可能となる。近年、健康志向が高まっている消費者に機能性野菜を提供することが可能となり、国民の健康維持に貢献できる研究である。