We conducted multi-elements determination of reference material certified by the Inorganic Ventures, IV-26, using iCAP 7400 ICP-OES of Thermo Fisher Scientific. And we statistically evaluated analysis results by introducing the in-house proficiency evaluation method implemented at the Ministry of Food and Drug Safety. Ca, Co, Fe, Mg, Ni, and V were selected as target elements, and extended uncertainty was estimated at a confidence level of about 95% and coverage factor k = 2. Five parameters incurred at manufacturing process (standard solution, calibration curve, repeated measurement and dilution factor of the test sample) were considered when determining the uncertainty. En-score can be calculated using the formula En=(x-X)/(Ulab 2+Uref 2)1/2 described in KS Q ISO 13528, where x, Ulab, X, and Uref are the test results, the uncertainty of the result, and the certified value and the uncertainty of the value. And if the absolute value |En| is less than 1, it can be evaluated as a satisfied value. As a result of ICP-OES analysis, each concentration of the elements to be measured was almost similar to the certified concentration of the reference material, and the uncertainty was slightly different. Also since evaluation on multi-elements determination had an En-score within 1, it was confirmed that the analysis results satisfied En evaluation.

건강기능식품에서 이산화규소 분석 방법을 확립하기 위하여 산(불산과 붕산)분해를 이용한 ICP-OES 방법을 수행하였다. 이 방법의 검출한계와 정량한계는 각각 0.07 mg/ L, 0.20 mg/L 이었다. 검량선은 0.2~20.0 mg/L의 농도범위 에서 우수한 직선성(r2 0.99)을 보였다. 글루코사민 제품에 이산화규소 0.4, 1.0, 2.0% (w/w)를 첨가하여 시험한 결과 90.22~94.14%의 회수율과 0.72~1.67%의 정밀성을 나타내었다. 확립된 방법으로 시중에 유통되는 건강기능식품 11 품목의 이산화규소 함량을 분석한 결과 0.02~1.80% (w/w) 로 나타났다. 이 결과는 건강기능식품에 이산화규소의 사 용기준 2% (w/w) 이하를 만족하는 결과로 시험한 제품들 은 규격에 적합하였다. 따라서 본 연구에서 확립된 이 방법은 건강기능식품 중 이산화규소를 쉽고, 빠르게 분석할 수 있으며, 건강기능식품 중 이산화규소 함량 분석에 효율 적으로 사용될 수 있다

The analytical method for the determination of phosphorus in foods was validated by inductively coupled plasma optical emission spectrometry (ICP-OES) in terms of precision, accuracy, recovery efficiency and linearity. Regression analysis revealed good correlation coefficient, higher than 0.999. Recovery efficiencies of the minerals ranged from 90.36% to 110.63%, and the limit of detection (LOD) and the limit of quantification (LOQ) were 0.0745 mg/ kg and 0.2482 mg/kg, respectively. The value of inter-day and intra-day ranged from 1.43 to 3.23% and from 0.40 to 1.77%. The recovery efficiencies ranged from 97.8 to 110.6%. The method was also compared with Molybdenum blue colorimetric method using certified and statistically significant difference was also not observed in the between two different analytical methods. The ICP-OES method was applied to phosphorus determination in commonly consumed foods. The obtained results suggest that the method verified in the present study may be used as an official analytical method for clear understanding of phosphorus database for national health promotion.

Iron is an essential mineral found in every cell of the human body to make the oxygen-carrying proteins hemoglobin and myoglobin. More than 2 billion people face Fe deficiency. Rice can be a potentially valuable source to supplement that mineral since it is staple food for two-thirds of the world’s population. To bring the nutritional level of the milled product up to that of the whole grain (brown), rice should be enriched with thiamin, niacin and iron. Thus we searched a possible allelic source from Heuristic or core rice set, which is derived from a total 24,368 rice germplasms, to increase the mineral content in rice varieties. The concentration and distribution of Fe in 137 accessions of core set of brown rice grain flour sample were determined by ICP-OES. The range of the concentration and distribution of Fe in 137 core accessions of brown rice grain were wide, from 0.088mg/L to 1.205mg/L, with mean 0.292mg/L. To examine Fe related genes, whole-genome resequencing data of 137 accessions of rice core set were analyzed by Genome Wide Associations Study (GWAS). Our result suggests that Fe determined by ICP-OES facilitates the evaluation of the differences in Fe composition for future rice breeding program