热溶解-光离子化离子移动-电子鼻子 (TD-PIM-Nose) 具有距离概率联合决定的SVM算法:用于Daqu Grade识别的新系统
Shiwen Cheng1, Qiang Han2, Yumei Qin3
1School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310018, China; Collaborative Innovation Center of Statistical Data Engineering Technology & Application, Zhejiang Gongshang University, Hangzhou 310018, China; China-UK Joint Research Laboratory of Eating Behaviour and Appetite, Zhejiang Gongshang University, Hangzhou 310018, China.
一个新的电子鼻子系统准确地评分了Daqu的质量. 热溶解-光离子化离子移动-电子鼻子 (TD-PIM-Nose) 通过先进的模式识别成功区分了四种Daqu等级.
科学领域:
- 分析化学 分析化学
- 传感器技术 传感器技术
- 食品科学 食品科学 食品科学
背景情况:
- 人类的嗅觉系统启发了电子鼻子 (e-nose) 技术,利用传感器阵列和模式识别.
- 精确的质量评估发酵产品,如Daqu对于工业应用至关重要.
- 现有的方法可能缺乏细微的质量分级的灵敏度或效率.
研究的目的:
- 开发和验证一种新型的热溶解-光电离子离子移动-电子鼻子 (TD-PIM-Nose) 系统.
- 应用TD-PIM-Nose用于对Daqu样本的客观质量分级.
- 为了识别Daqu品质等级之间的特征性挥发性化合物差异.
主要方法:
- 开发一个TD-PIM-Nose系统,整合热消耗,光离子化离子流动性和图案识别.
- 直接采样与集成的湿度控制用于样品的准备.
- 使用支持矢量机 (SVM) 算法进行信号处理和分类Daqu样本.
主要成果:
- 在TD-PIM-Nose系统中,成功地区分了四个品质等级的Daqu ("优秀+"",优秀"",I级"",II级").
- 通过指纹光谱和减少移动性的值,通过指纹光谱和减少移动性的值确定了特征性的化合物差异.
- 实现了高的识别准确度:90%的"优秀+",90%的"优秀",96.88%的"I级",和100%的"II级".
结论:
- TD-PIM-Nose系统显示出对客观和准确的Daqu质量分级有很大的潜力.
- 这种生物嗅觉系统为食品行业的质量控制提供了可靠的替代方案.
- 该研究强调了该系统在识别与质量相关的微妙化学变异方面的能力.
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