This study developed a calibration model using near-infrared spectroscopy (NIR) for the rapid and non-destructive prediction of functional components—total polyphenols, total flavonoids, and antioxidant activities—in sweetpotato. Analysis of 473 sweetpotato genetic resources revealed significant variation and diversity in total polyphenols (4.67 to 2,419 mg/100g, CV 74.26%), total flavonoids (7.71 to 1,057.67 mg/100g, CV 122.88%), DPPH radical scavenging activity (7.83 to 532.56 mg/100g, CV 111%), and ABTS radical scavenging activity (11.84 to 615.87 mg/100g, CV 70.02%). The NIR spectra (400 to 2,500 nm), following pretreatment and modified partial least squares (MPLS) regression, were utilized to create the calibration model. Cross-validation indicated high predictive performance for total polyphenols (R2 cv 0.895), total flavonoids (0.940), DPPH (0.955), and ABTS (0.940). External validation yielded R2 ev values ranging from 0.623 to 0.726 and RPD values between 1.58 and 2.13, confirming the model's practical applicability for large-scale screening and classification. However, further enhancements are needed to improve the accuracy of quantitative analysis. Future studies should focus on refining the predictive model by incorporating samples from diverse genetic resources and cultivation environments. This research demonstrates that NIR spectroscopy can be effectively employed for the rapid, non-destructive evaluation of sweetpotato functional quality, facilitating the efficient selection of high-value cultivars.

Abstract
서 론
재료 및 방법
    1. 시험재료
    2. 총 폴리페놀 및 플라보노이드 함량
    3. Radical 소거 활성
    4. 근적외선 스펙트럼 측정
    5. NIR 검량식 작성 및 검증
결과 및 고찰
    1. 총 폴리페놀 및 플라보노이드 함량과 항산화 활성
    2. NIR 측정 및 스펙트럼 전처리
    3. NIR 검량식의 작성 및 교차 검증 평가
    4. NIR 검량식의 외부 검증 및 적용 평가
요약 및 결론
감사의 글
References

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• 안종욱(농촌진흥청 국립식량과학원 농업연구사) | Jonguk An (Researcher, National Institute of Crop and Food Science, Rural Development Administration, Muan 58545, Korea) Corresponding author