Standard Food Composition Table
The Korean Food Composition Table (KFCT) was first published in 1970, and has since been updated
every five years by the Rural Development Administration (RDA), which is the Korean data center of
FAO/INFOODS. Due to the increasing demands of nutrient database users, the RDA started a new
research project in 2013 to improve the quantity and quality of data for the database. Over 1,000 food
items frequently consumed in Korea were selected as key foods using the results of the Korean
National Health and Nutrition Examination Survey. About 350 raw materials and processed food
items were collected and analyzed every year. Target nutrients that were analyzed by collaborative
labs, such as, sugars, selenium, iodine, and biotin, were increased from 22 to 100. Analytical sample
handling procedures and data quality evaluation systems were also established in collaboration with
21 contracted labs. Data were evaluated for data quality according to the FAO/INFOODS, CODEX,
and AOAC guidelines. The data from above project have been updated every year since 2019 on the
RDA website (koreanfood.rda.go.kr). The KFCT provides the basic infrastructure for food and
nutrition policy, research, and dietary practice in South Korea. The use of the KFCT has increased
exponentially in the past few years in both public and private sectors; accordingly, increased efforts
should be paid to the preparation, improvement, and maintenance of KFCT.
Flavonoid and Phenolic acid database
The data of flavonoid and phenolic acid database were obtained through different data sources such as literature search and UPLC-DAD-QToF/MS analysis. To obtainment of literature data, research articles were searched in online database and collected according to proposed taxonomy for construction of chemical library. Total of the 635 (for flavonoids) and 582 (for phenolic acids) articles were selected, and some articles were excluded because they used hydrolysis methods in extraction process by strong acid or base for analysis of flavonoid glycosides and phenolic acid derivatives.
Seventy-five of plant chemical libraries were constructed from the selected articles, and each library was reflected distribution of variety flavonoid and phenolic acid derivatives according to taxonomical classification. The data from constructed library were arranged in designed table for insertion in database. This data were contained analytical information related to identify flavonoid and phenolic acid derivatives and to find new compounds. To production of analyzed data, total of 268 (for flavonoids) and 308 (for phenolic acids) samples were analyzed using UPLC-DAD-QToF/MS and these samples were classified into ten food classes. After analysis, detected peaks in total ion chromatogram were identified compared with elution order, UV spectrum patterns, and MS fragmentation patterns from constructed chemical library.
Identified individual flavonoid and phenolic acid derivatives were quantified according to the type and concentration of internal standard. In total, 476 and 171 kinds of flavonoid and phenolic acid derivatives were identified, and 3,205 and 1,805 types of contents were quantified in the agro-food samples, respectively. From the results of flavonoids and phenolic acid analysis, data were extracted related to identify and quantify flavonoids and phenolic acid as analytical properties and their contents.