Rice
Overview
Rice is an economically important plants in Thailand. However, Thailand encounters rice fraud problem, affecting to the consumers and reputation of our country in the global market. Although DNA technology is effective to be used in rice adulteration, there is no effective detection method to detect the same rice variety collected from different geographical locations. Hence, this is essential to develop a rice traceability method to trace back the rice cultivating location efficiently. In this project, we aim to develop metabolite profile of rice collected from different geographical locations using liquid chromatography-mass spectrometry coupling with multivariate statistical analysis.
Aim & Scope
1. To optimize metabolite extraction and fingerprinting methods using LC orbitrap fusion tribrid mass spectrometer for improving discrimination range of the rice cultivated in different provinces
2. To develop metabolite fingerprinting method coupled with multivariate statistical analysis for accurate prediction of Thai rice traceability
Research Project
- Rice traceability method development using liquid chromatography-high resolution mass spectrometry (LC-HRMS)-based metabolomics fingerprinting
- Optimization of gas chromatography-tandem mass spectrometry (GC-MS/MS) detection method for multiple phytohormones and phytohormone precursors analysis
Research outputs
Publications
1. Uawisetwathana, U, Jamboonsri, W, Bamrungthai, J, Jitthiang, P, Nookaew, I, Karoonuthaisiri, N. 2022. Metabolite profiles of brown planthopper-susceptible and resistant rice (Oryza sativa) varieties associated with infestation and mechanical stimuli. Phytochemistry. 194:113044.
2. Uawisetwathana, U, Chevallier, OP, Xu, Y, Kamolsukyeunyong, W, Nookaew, I, Somboon, T, Toojinda, T, Vanavichit, A, Goodacre, R, Elliott, CT, Karoonuthaisiri, N. 2019. Global metabolite profiles of rice brown planthopper-resistant traits reveal potential secondary metabolites for both constitutive and inducible defenses. Metabolomics. 15: 151.
3. Uawisetwathana, U, Karoonuthaisiri, N, 2019. Metabolomics for Rice Quality and Traceability: Feasibility and Future Aspects. Current Opinions in Food Science. 28:58–66. doi.org/10.1016/j.cofs.2019.08.008 (IF =3.828)
4. Pongprayoon W., Maksup S., Phaonakrop N., Jaresitthikunchai J., Uawisetwathana U., Panya A. and Roytrakul S. Phosphoproteome analysis reveals chitosan-induced resistance to osmotic stress in rice (Oryza sativa L.) seedlings. Journal of Plant Interactions 2022. 17: 1, 894-910, doi.org/10.1080/17429145.2022.2114556.
Patents & petite-patents
1. Petite patent: Uawisetwathana, U., Jamboonsri, W., Somboon, T., Karoonuthaisiri, N. Rice traceability detection method using liquid chromatography-orbitrap-mass spectrometry (filed in Thailand in March 8, 2019: No 1903000597)
2. Patent: Uawisetwathana, U., Jitthiang, P., Jamboonsri, W., Karoonuthaisiri, N. Glutinous rice traceability process using targeted metabolite profile analysis (filed in Thailand in September 21, 2021: No 2101005758)
3. Petite patent: Uawisetwathana, U., Jamboonsri, W., Bamrungthai, J., Jitthiang, P., Karoonuthaisiri, N. A Method for Riceberry traceability by metabolite profiles (filed in Thailand in March 5, 2022: No 2203000593)