用便携式近红外仪器预测蛋储存时间:温度和生产系统的影响
Daniel Cozzolino1, Pooja Sanal2, Jana Schreuder3
1Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, St. Lucia, Brisbane, QLD 4072, Australia.
Foods (Basel, Switzerland)
|January 23, 2024
概括
近红外 (NIR) 光谱与化学测量相结合,可以准确地预测卵子储存时间的非破坏性. 这种方法对监测不同生产系统和储存条件的蛋新鲜度有希望.
科学领域:
- 食品科学 食品科学 食品科学
- 分析化学 分析化学
- 频谱学是一种光谱学.
背景情况:
- 准确确定蛋新鲜度对于食品安全至关重要.
- 评估蛋质量的传统方法可能是破坏性的或耗时的.
- 开发用于预测卵子储存时间的非破坏性技术是非常理想的.
研究的目的:
- 评估便携式近红外 (NIR) 光谱学与化学测量结合用于预测卵子储存时间的有效性.
- 评估不同储存条件 (室温和寒冷) 和生产系统 (子和放牧) 对蛋新鲜度预测的影响.
- 建立一种非破坏性的卵子质量监测方法.
主要方法:
- 使用便携式NIR仪器对700个蛋样本进行分析.
- 化学测量方法的应用,包括主要成分分析 (PCA) 和部分最小平方 (PLS) 回归,对NIR光谱数据.
- 使用交叉验证统计数据进行预测模型的验证 (R2CV,SECV,RPD).
主要成果:
- PCA没有区分生产系统,但根据储存条件显示了一些分组.
- 在各种条件下,可以准确预测蛋的储存时间:R2CV值从0.67到0.84.8不等.
- 与室温存储的蛋 (RPD 1.8-3.0) 相比,冷藏的蛋 (子和自由养) 的预测准确度更高 (RPD 3.2).
结论:
- 便携式NIR光谱是一种可行的非破坏性技术,用于预测完整卵的储存时间.
- 该方法显示了监测蛋新鲜度的潜力,根据储存条件观察到的变化.
- 建议进行进一步的研究,以将应用扩展到其他生产系统,并探索预测额外的质量参数.
相关概念视频
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Start by practicing proper hand hygiene to prevent the spread of microorganisms.
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