通过微型纤维NIR光谱仪在豆生产过程中构建现场和实时监测方法
Zhankai Zhang1, Yanhua Ding1, Feng Hu2
1School of Food and Biological Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China.
Food chemistry
|August 10, 2024
概括
这项研究引入了一种实时光谱系统,用于监测大豆生产的关键指标,如蒸大豆的消化率 (DRSS) 和 (PAK) 的蛋白酶活性. 这种方法提高了质量控制,并防止发酵失败.
科学领域:
- 食品科学与技术 食品科学与技术
- 分析化学 分析化学
- 生物技术是生物技术.
背景情况:
- 传统的豆生产依赖于经验丰富的工人来监测关键参数.
- 主观监测可能导致材料使用效率低下和发酵失败.
- 关键指标包括蒸大豆的消化速度 (DRSS),柯吉的蛋白酶活性 (PAK) 和莫罗米的甲含量 (FNCM).
研究的目的:
- 开发一个现场和实时光谱系统来监测大豆汁生产.
- 建立可靠的方法来量化DRSS,PAK和FNCM.
- 提高大豆发酵的效率和成功率.
主要方法:
- 在使用微型纤维光谱仪蒸大豆,吉和莫罗米发酵过程中收集近红外 (NIR) 光谱.
- 应用了四种光谱预处理方法来优化数据.
- 使用部分最小平方 (PLS),代部分最小平方 (iPLS) 和连续投影算法 (Si-PLS) 构建的回归模型.
主要成果:
- 获得了DRSS (Rp=0.9327,RMSEP=4.37%),PAK (Rp=0.9364,RMSEP=228 U/g) 和FNCM (Rp=0.9237,RMSEP=0.148 g/100 mL) 的高预测准确率.
- 验证实验证实了该系统的有效性.
- 证明了现场和实时监控的可行性.
结论:
- 开发的NIR光谱系统可以准确地实时监测大豆生产的基本参数.
- 这项技术可以显著提高质量控制,减少发酵失败.
- 该系统为优化大豆制造工艺提供了一个有前途的方法.
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