猪肉贮藏过程中特征挥发物的多孔配位聚合纳米仿生传感检测机理研究

Freshness is an important indicator for pork in the sense of quality and safety. Thus, developing a fast and accurate evaluation method for pork freshness, which has important scientific significance. The project uses characteristic volatiles as the freshness evaluation marker during pork storage, putting forward a new idea of rapid and accurate detection of characteristic volatile compounds in pork by porous coordination polymer based nano-biomimetic sensors, in this research proposal, is proposed on the basis of the principle of human olfactory bionic test. First, we will study the change rules of volatile odor of pork during storage and screen the characteristic volatiles to characterize the change of pork freshness. Then, we will explore the porous coordination polymer nano-chromogenic material controlled synthesis, precision of assembly method, clarify the structure and vibration mode of its internal environment, define the optimal configuration. Next, we will clarify the combination mechanism of characteristic volatiles and nano-chromogenic materials, reveal the variation law of electron cloud density and space structure, and explore the influence of steric hindrance effect on color rendering performance. The specific chromogenic mechanism of sensors will be revealed. Finally, the data pretreatment, characteristic variables extraction and robust model establishment methods will be studied, a model will be established for characteristic volatiles with strong fault tolerance and high accuracy. The intelligent evaluation mechanism of pork characteristic volatiles using nanon-biomimetic sensor will be revealed. This research will provide a theoretical basis for the construction of a new accurate and intelligent evaluation method for pork freshness.

猪肉新鲜度是其质量与安全的一个重要指标，研究猪肉新鲜度的快速、精准评价方法具有重要的科学意义。项目以猪肉贮藏过程中特征挥发物作为新鲜度评价标志物，仿效人工嗅觉仿生检测机理，提出基于多孔配位聚合纳米仿生传感技术的猪肉特征挥发物快速精准检测新思路。研究猪肉贮藏过程中挥发性气味的变化规律，筛选表征猪肉新鲜度变化的特征挥发物；探索多孔配位聚合纳米显色材料的可控合成、精准组装方法，解析其体内环境的结构和振动模式，明确最优构型；阐明特征挥发物与纳米显色材料结合机制，揭示电子云密度和空间结构的变化规律，探索空间阻遏效应对显色性能的影响，明确传感器的特异性显色机理；研究数据预处理、特征信息提取和鲁棒性模型构建等海量数据挖掘方法，建立一个容错性强、精度高的特征挥发物预测模型，明确猪肉特征挥发物的纳米仿生传感智能评价机制，为构建猪肉新鲜度的精准智能评价新方法提供理论基础。

猪肉新鲜度是其质量与安全的一个重要指标，研究猪肉新鲜度的快速、精准评价方法具有重要的科学意义。项目以猪肉贮藏过程中特征挥发物作为新鲜度评价标志物，仿效人工嗅觉仿生检测机理，提出基于纳米仿生传感技术的猪肉特征挥发物快速精准检测新思路。研究猪肉贮藏过程中挥发性气味的变化规律，筛选表征猪肉新鲜度变化的特征挥发物；探索纳米显色材料的可控合成、精准组装方法，解析其体内环境的结构和振动模式，明确最优构型；阐明特征挥发物与纳米显色材料结合机制，揭示电子云密度和空间结构的变化规律，探索空间阻遏效应对显色性能的影响，明确传感器的特异性显色机理；研究数据预处理、特征信息提取和鲁棒性模型构建等海量数据挖掘方法，建立一个容错性强、精度高的特征挥发物预测模型，明确猪肉特征挥发物的纳米仿生传感智能评价机制，为构建猪肉新鲜度的精准智能评价新方法提供理论基础。

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