一个高度敏感的CO2木材智能标签用于草新鲜度监测
Jin Xu1, Yuping Ning1, Yalu Yun1
1Key Laboratory of Bio-Based Materials Science and Technology of Ministry of Education, Northeast Forestry University, No. 26 Hexing Road, Xiangfang District, Harbin 150040, China.
Polymers
|October 26, 2024
概括
这项研究开发了一种新的智能标签,使用面板和提摩尔蓝 (BTB) 来监测草的新鲜度. 标签显示了准确的颜色变化,表明坏,增强食品质量监测.
科学领域:
- 材料科学 材料科学 材料科学
- 食品科学 食品科学 食品科学
- 分析化学 分析化学
背景情况:
- 目前用于食品新鲜度的智能标签缺乏明显的颜色变化,需要提高准确性.
- 开发敏感和可视指示的新鲜度监测系统对于食品安全至关重要.
研究的目的:
- 为了创建一个高度pH敏感的智能标签,使用天然树纹矩阵来跟踪草的新鲜度.
- 通过明显的色度变化,增强对食物腐烂的视觉指示.
主要方法:
- 面板被除色并用2,3-环三甲基化物 (EPTAC) 修改,以创建带正电的区域.
- 甲醇蓝 (BTB) 通过静电相互作用吸附到修改后的面上,从而达到高吸附能力.
- 由此产生的智能标签在不同的pH值和对乙酸的反应下进行了测试,以检测颜色变化.
主要成果:
- 面板显示了BTB的高吸附能力 (7.0 mg/g) 和初始的蓝色.
- 智能标签在不同的pH值中呈现出明显的颜色变化,并且在暴露于酸后迅速改变颜色.
- 从蓝色到黄色绿色的明显的颜色转变与草新鲜度的下降相关,证实了高精度.
结论:
- 成功制造了一种具有成本效益和高度灵敏的智能标签,用于监测草的新鲜度.
- 壁的天然孔隙结构为pH敏感指标吸附提供了一个有效的矩阵.
- 这种方法为开发先进的食品质量保证工具提供了一个有希望的方法.
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