인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
In this mini-review, the authors propose an extended HACCP-based preventive control framework for novel foods, including plant-based and cultured meat, to address emerging safety requirements that surpass traditional process-centered controls. Regulatory approaches among different jurisdictions were found to be characterized by substantial heterogeneity, which complicates industry compliance. Furthermore, managing non-process hazards, such as allergen cross-contact in complex supply chains or atypical risks in bioreactors (e.g., unforeseen toxicity), poses challenges regarding the capacity of conventional manual monitoring. On the basis of a synthesis of global industrial practices adopting Smart HACCP, this review emphasizes that integrating AI-driven predictive modeling (e.g., digital twins and multi-omics), IoT sensors, and blockchain can contribute to ensuring data integrity and real-time verification. These digital capabilities will be essential for satisfying the rigorous pre-market approval requirements. Ultimately, combining traditional critical control point management, non-process hazard controls, and robust digital infrastructure will provide a practical basis for improving safety assurance and harmonizing compliance strategies in the production of novel foods.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-151-26-02-096829573