化学
肌红蛋白
雷苏林
氧化还原
食物腐败
食品科学
还原剂
肉类腐败
RGB颜色模型
熟肉
食物垃圾
生化工程
制浆造纸工业
食品
食品安全
环境化学
纳米技术
还原电位
可视化
保质期
作者
Hui Zhu,Yue Jiang,Yuping Wei,Mengying Ma,Jing-Tong Wang,Xing-Pei Liu,Ling Wang,Chang-Jie Mao
标识
DOI:10.1021/acs.analchem.5c02941
摘要
Meat freshness is essential for ensuring food safety and protecting consumer health. However, substantial resource waste often occurs when consumers rely on their senses to assess meat. Herein, we developed a smartphone-based platform utilizing the biocompatible redox indicator resazurin to visualize meat freshness through specific redox reactions. Spectrophotometric and coloration analysis confirmed that myoglobin (Fe2+) exhibits reducing activity, with higher Fe2+ content in fresh meat that correlates to stronger reducing capacity. This enhanced reducing capability produces more distinct color transitions as resazurin (blue) is reduced to resorufin (pink). Combined with color heatmaps extracted from RGB data of smartphone images, our approach has successfully evaluated the freshness of pork, beef, and chicken within 30 min, demonstrating its broad applicability and rapid detection capability. This low-cost (<$0.02 per test), nontoxic, and user-friendly (no instruments needed) visualization method shows great promise for promoting home-based meat freshness testing, thereby reducing resource waste while safeguarding consumer health.
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