糖估计作为预测产品洗水中的化学氧气需求 (COD) 的替代和快速方法
Kevin C Tarwa1, Maria Moreno2, Rohan V Tikekar1
1Department of Nutrition and Food Science, University of Maryland, College Park, Maryland, USA.
Journal of food science
|August 6, 2025
概括
使用硫酸-紫外线光谱法 (SA-UV) 的新色度测量方法可以快速估计新鲜食品洗水中的化学氧气需求 (COD). 这种快速的SA-UV方法提供了一个低成本的,可在现场部署的替代传统耗时的COD分析.
科学领域:
- 食品科学 食品科学 食品科学
- 分析化学 分析化学
- 环境监测 环境监测
背景情况:
- 监测新鲜产品洗水中的化学氧气需求 (COD) 对于确保消毒剂的有效性至关重要.
- 传统的COD分析方法耗时 (2-3小时) 且昂贵,在产品洗操作中对实时监控提出了挑战.
- 从新鲜产品中释放的糖类对整体COD的贡献很大.
研究的目的:
- 调查一种快速,低成本,现场部署的糖估计方法 (硫酸-紫外线光谱法,SA-UV) 的潜力,以预测新鲜产品洗水中的COD.
- 开发和验证基于SA-UV测量的COD线性预测模型.
主要方法:
- 该SA-UV方法测量由硫酸氧化糖形成的furfurals,通过紫外线吸收在315nm (A315) 在约5分钟内检测到.
- 使用线性回归分析来评估A315和测量COD之间的相关性,并评估确定系数 (R2).
- 该方法使用标准糖溶液 (葡萄糖,果糖,糖糖) 和来自葡萄,西瓜和加工设施的实际洗水样本进行了测试.
主要成果:
- 在A315和纯糖溶液的测量COD之间发现了强烈的正相关性 (R2>0.91).
- 对产品洗水样本观察到显著的相关性:葡萄 (R2 = 0.82) 和西瓜 (R2 = 0.85),对 (R2 = 0.62) 的相关性较弱.
- 与度测量 (R2范围0.17-0.59) 相比,SA-UV方法在预测COD方面显示出更高的准确性 (R2范围0.65-0.82).
结论:
- 该SA-UV方法提供了一个快速,具有成本效益和准确的替代方案,用于估计新鲜产品洗水中的COD.
- 这种方法可以帮助实时监测水质,从而提高食品安全和运营效率.
- 与传统的COD分析相比,SA-UV方法需要最小的时间,低成本的试剂,并减少了对危险化学品的暴露.
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