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食品加工環境におけるバイオフィルム制御のためのブロックチェーンとAIの活用
Chowdhury Sanat Anjum Reem1,2, Md Anamul Hasan Chowdhury1,2, Md Ashrafudoulla3
1Department of Food Safety and Regulatory Science, Chung-Ang University, Anseong-si, Gyeonggi-do, Republic of Korea.
Comprehensive reviews in food science and food safety
|August 22, 2025
まとめ
このレビューでは,ブロックチェーンと人工知能 (AI) が食品加工におけるバイオフィルム制御を改善する方法を検討します. これらのデジタルツールは,よりよい食品安全と衛生上の成果のために,追跡可能性と予測分析を強化します.
科学分野:
- 食品科学
- 微生物学
- デジタル技術
背景:
- 食品加工環境におけるバイオフィルム形成は,食品の安全性と品質に重大なリスクをもたらします.
- バイオフィルムに含まれる 耐性菌群は 汚染や腐食 食物伝染病を引き起こします
- 従来の浄化方法は 耐性のあるバイオフィルムに対して 十分でないことが多いのです
研究 の 目的:
- 食品加工におけるバイオフィルム管理におけるブロックチェーン技術と人工知能 (AI) の現在の役割と潜在的役割を検討する.
- バイオフィルム制御のための技術主導の革新的な戦略を強調する.
- 将来の研究と産業応用方向を特定する.
主な方法:
- バイオフィルム管理のための新興デジタルツール,特にブロックチェーンとAIのレビュー.
- 衛生記録とコンプライアンスにおけるブロックチェーンの役割の分析
- 早期発見とリスク評価のための機械学習とセンサー分析を含むAIアプリケーションの評価.
主要な成果:
- ブロックチェーンは 衛生と汚染の追跡を リアルタイムで提供します
- AIは微生物の成長の早期発見,異常の特定,リスクの予測を容易にする.
- デジタルツールの組み合わせにより,汚染を予防するためのデータベースの意思決定が可能になります.
結論:
- パイロットアプリケーションは,食品加工の透明性と衛生性の向上を約束しています.
- データの統合,コスト,規制上の障壁などの課題に対処する必要があります.
- 分野間の協力と支援政策は 実施の成功に不可欠です
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