Red beet roots (Beta vulgaris L.)는 천연색소로 붉은 색 계열의 betacyanins은 75-95%의 betanine와 이성질체인 isobetanine 15-45%으로 존재한다. 본 연구는 비트레드를 사용한 식품에 대해 HPLC-DAD를 이용하여 지표성분인 betanine 및 isobetanine에 대해 분석법을 확립하였으며, 유효성 검증을 위해 직선성, 검출한계, 정량한계, 정확성, 정밀성, 측정불확도를 측정하였다. 캔디류, 빙과류, 코코아 가공품의 matrix에 적용하여 matrix matched calibration법 을 사용하였으며 R2이 0.9998 이상으로 높은 직선성을 보였다. 검출한계와 정량한계는 각각 0.16-0.32 mg/L, 0.48- 0.97 mg/L으로 확인되었다. 분석법의 정확성 및 정밀성을 검증하기 위해 intra-day 및 inter-day 반복 실험 결과, 회수율은 96.0-103.1 %, 100.0-102.2 %이였으며, RSD는 0.5-3.3 %, 0.9-3.8 %로 산출되었다. 측정불확도는 매트릭스 및 측정 농도에 따라 1.71-12.43%로 평가되었다. 또한, 확립된 분석법의 적용성 검토를 위해서 비트레드 색소를 사용한 가공식품 26종을 분석한 결과, betanine과 isobetanine 을 정량 할 수 있었다 (8.4-3,823.4 mg/kg).

Red beet (Beta vulgaris L.) is a root vegetable and a popular functional food ingredient of dark red-purple appearance due largely to betacyanins, principally betanine (75-95%) and its isomer, isobetanine (15-45%). This study developed an analytical method for beet red in terms of betanine and isobetanine in processed food products labeled with beet red as a food additive. High Performance Liquid Chromatography-Diode Array Detector (HPLC-DAD) was used with a C18 column. Linearity, limit of detection (LOD), limit of quantitation (LOQ), accuracy, precision and uncertainty in measurement were calculated for method validation. Matrix-matched calibration was applied to the candy, ice cream, and cocoa product, respectively, and R2 was ≥0.9998, showing a high level of linearity. The LOD and LOQ were 0.16 to 0.32 and 0.48 to 0.97 mg/L, respectively. As a result of repeated intra-day and interday experiments to validate the accuracy and precision of the analytical method, the recovery rates were 96.0-103.1% and 100.0-102.2%, respectively and the RSD% was 0.5-3.3% and 0.9-3.8%, respectively. Moreover, the measurement uncertainty was estimated to be 1.71-12.43% depending on the matrix and the measured concentration. In this study, betanine and isobetanine were quantified (8.4-3,823.4 mg/kg) by applying the developed analytical method to processed food products (n = 26; e.g., candy, ice cream, and other processed foods) labeled with beet red as a food additive.

ABSTRACT
Materials and Methods
    Chemicals and materials
    Quantification of beet red
    Sample preparation
    Analytical instrument
    Method validation
    Measurement uncertainty assessment
Results and Discussion
    Validation
    Assessing measurement uncertainty
    Application
국문요약
References

• Hyun-Hee Kang(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)
• Gayeong Lee(Department of Food Science and Technology, Seoul National University of Science and Technology)
• Jae-Wook Shin(Korea Advanced Food Research Institute)
• Young-Jun Kim(Department of Food Science and Technology, Seoul National University of Science and Technology) Correspondence to