2022 Fiscal Year Annual Research Report
Establishment of a new extraction method for phytochemicals using the wet stone-mill and non-destructive evaluation method for extract quality based on fluorescence excitation emission matrix
Project/Area Number |
22J11143
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Allocation Type | Single-year Grants |
Research Institution | University of Tsukuba |
Principal Investigator |
BUI Thi Bao Chau 筑波大学, 理工情報生命学術院, 特別研究員(DC2)
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Project Period (FY) |
2022-04-22 – 2024-03-31
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Keywords | extraction method / wet milling / phytochemicals |
Outline of Annual Research Achievements |
The new extraction method named the Simultaneous Milling and Extraction Process (SMEP) has been successfully established using the original wet stone-mill. SMEP was successfully optimized with ethanol 70% as the most suitable extraction solvent and 1 loop milling as the most efficient setting. SMEP at its optimal condition demonstrated significantly higher extraction efficiency in terms of total polyphenols, total flavonoids and antioxidant abilities compared to all comparative extraction methods, even the ultrasonic-based methods with greatly simplified protocol and in shorter time. In addition, the practical usage of SMEP-produced extracts was confirmed with the biochemical assay involving the cancer-related human retinaldehyde dehydrogenase type 3 (RALDH3) enzyme inhibition. SMEP-produced extracts were significantly more active than extracts prepared by other methods. Therefore, the practical usability of SMEP in producing spice extracts of high quality and of SMEP-produced extracts has been confirmed. These results of the first and third objectives in the current project led to publication of an original paper (Bui et al., 2022), an Excellent Poster Award in the 69th JSFST Conference and two invited lectures.
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Current Status of Research Progress |
Current Status of Research Progress
1: Research has progressed more than it was originally planned.
Reason
The original research plan aimed for completion of SMEP establishment and acquiring data of excitation and emission matrices (EEM) of spice extracts in the first year, while biochemical assays to confirm the practical usability of extracts and EEM model establishment were aimed to be accomplished in the second year. With the availability of extracts, biochemical assays were also completed in the first year. Therefore, the research plan has been progressing with higher completion status than the original plan, which will allow even more in-depth studies on EEM in the upcoming second year.
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Strategy for Future Research Activity |
In the second year of research implementation, I will proceed to develop the EEM into an alternative method of quality evaluation for spice extracts by incorporating machine learning algorithms. Various algorithms will be tested and tuned for prediction of common chemical attributes of spice extracts such as polyphenols and antioxidants. A new method of interpretation of EEM will be established and a readily applicable workflow to use EEM for quality evaluation of spice extracts will be proposed.
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