식품첨가물로 사용되는 알긴산나트륨은 알긴산염류로서 안정제, 증점제, 유화제 등의 기능을 한다. 알긴산나트륨의 정량법은 전처리가 복잡하고 분석시간이 많이 소요되어 상대적으로 간편하고 보편적인 분석법 연구가 요구되고 있 다. 분석장비로는 HPLC-UVD 및 Unison US-Phenyl 컬럼을 사용하였으며, 전처리 조건으로 진탕기를 이용하여 실온에서 150 rpm으로 180분간 추출하였다. 알긴산나트륨의 표준 용액을 5개 농도 범위에서 검량선을 작성한 결과 직선성(R2)은 평균 0.9999로 측정되었으며 검출한계(LOD) 및 정량한계(LOQ)는 각각 3.96 mg/kg, 12.0 mg/kg이었다. 또한, 천사채를 이용해 얻은 일내 및 일간 평균 회수율과 정밀도는 각각 98.47-103.74%, 1.69-3.08 RSD%이고, 빙과류에 대한 일 내 및 일간 평균 회수율과 정밀도는 각각 99.95-105.76%, 0.59-3.63 RSD%이다. 상대불확도%는 CODEX의 기준에 적합한 1.5-7.9%의 결과를 나타냈다. 본 연구에서 확립한 방법의 적용성 검토를 위해 총 103개 품목에 대한 알긴산나트륨의 함량을 정량한 결과 당면, 유탕면, 당류가공품 유형 순으로 높은 검출율을 보였다.

Sodium alginate is the sodium salt of alginic acid, commonly used as a food additive for stabilizing, thickening, and emulsifying properties. A relatively simple and universal analysis method is used to study sodium alginate due to the complex pretreatment process and extended analysis time required during the quantitative method. As for the equipment, HPLC-UVD and Unison US-Phenyl column were used for analysis. For the pretreatment condition, a shaking apparatus was used for extraction at 150 rpm for 180 minutes at room temperature. The calibration curve made from the standard sodium alginate solution in 5 concentration ranges showed that the linearity (R2) is 0.9999 on average. LOD and LOQ showed 3.96 mg/kg and 12.0 mg/kg, respectively. Furthermore, the average intraday and inter-day accuracy (%) and precision (RSD%) were 98.47-103.74% and 1.69-3.08% for seaweed jelly noodle samples and 99.95-105.76% and 0.59-3.63% for sherbet samples, respectively. The relative uncertainty value was appropriate for the CODEX standard with 1.5-7.9%. To evaluate the applicability of the method developed in this study, the sodium alginate concentrations of 103 products were quantified. The result showed that the detection rate is highest from starch vermicelli and instant fried noodles to sugar processed products.

ABSTRACT
Materials and Methods
    Chemicals and materials
    Standard solutions
    Sample preparation
    Analytical instruments
    Method validation
    Measurement uncertainty estimation
Results and Discussion
    Method validation
    Measurement uncertainty
    Application
국문요약
References

• Hyo-Jin Yang(Department of Food Science and Technology, Seoul National University of Science and Technology)
• Eunbin Seo(Department of Food Science and Technology, Seoul National University of Science and Technology)
• Choong-In Yun(Lab of Nanobio, Seoul National University of Science and Technology)
• Young-Jun Kim(Department of Food Science and Technology, Seoul National University of Science and Technology) Correspondence to