市场中可食用蛋白类产品掺假现象屡禁不止,部分不良商家往产品中掺入淀粉、植物性蛋白和氮素等物质,借此降低生产成本,各种掺假问题层出不穷。因此,利用现代先进的科学技术和仪器,设计出快速、高效、高质量的掺假检测方法有着重要的研...市场中可食用蛋白类产品掺假现象屡禁不止,部分不良商家往产品中掺入淀粉、植物性蛋白和氮素等物质,借此降低生产成本,各种掺假问题层出不穷。因此,利用现代先进的科学技术和仪器,设计出快速、高效、高质量的掺假检测方法有着重要的研究价值。本文选取乳制品和谷物作为可食用蛋白类产品的典型代表,对现代光谱技术中的近红外光谱、中红外光谱和高光谱成像技术进行全面综述,总结以上检测方法在蛋白类产品掺杂检测中的应用现状与研究进展,以推动蛋白质类产品掺杂检测技术的发展,切实保障食品质量安全。The phenomenon of adulteration in edible protein products available in the market remains a persistent issue despite repeated prohibitions. Some unethical merchants add substances such as starch, plant-based protein, and nitrogen to their products with the intention of reducing production costs. Consequently, various adulteration problems continue to emerge. Therefore, employing modern advanced scientific technologies and instruments to design fast, efficient, and high-quality adulteration detection methods holds significant research value. In this paper, dairy products and grains are selected as typical representatives of edible protein products. A comprehensive review is conducted on the application status and research progress of near-infrared spectroscopy, mid-infrared spectroscopy, and hyperspectral imaging techniques in modern spectroscopic technology for the detection of protein product doping. The objective is to promote the development of protein product doping detection technology and effectively ensure food quality and safety.展开更多
为了防虫、延长储存时间,山药常被熏硫,构建硫熏中药材快速鉴别方法具有重要意义。本研究通过模拟市场上山药的熏蒸过程,在实验室制备了一批模拟样品,采集了山药的近红外光谱图,并利用化学计量学方法进行分析。利用TQ Analyst软件分析...为了防虫、延长储存时间,山药常被熏硫,构建硫熏中药材快速鉴别方法具有重要意义。本研究通过模拟市场上山药的熏蒸过程,在实验室制备了一批模拟样品,采集了山药的近红外光谱图,并利用化学计量学方法进行分析。利用TQ Analyst软件分析不同硫熏浓度及时间条件下山药的近红外光谱特征,建立硫熏山药定性分析模型。研究表明,该模型的准确率高达100%。通过近红外光谱和化学计量学模型的组合,能快速识别山药是否被硫熏,此研究为快速鉴别山药硫熏情况提供了新路径。*通讯作者。In order to prevent pests and prolong storage time, Chinese yam is often fumigated with sulfur. In this work, a batch of simulated samples were prepared in the laboratory by simulating the fumigation process of yam on the market. Near-infrared (NIR) spectra of Yam were then recorded and analyzed by Chemometrics methods. Based on the spectral characteristics of Chinese yam under different sulfur-fumigated concentration and time, a qualitative analytical model was established by TQ Analyst software. The research shows that the accuracy of the model is as high as 100%. The combination of NIR spectroscopy and Chemometrics model can rapidly identify whether yam has been to exposed to sulfur. This study provides a new way for rapid identification of sulfur-fumigated yam.展开更多
文摘市场中可食用蛋白类产品掺假现象屡禁不止,部分不良商家往产品中掺入淀粉、植物性蛋白和氮素等物质,借此降低生产成本,各种掺假问题层出不穷。因此,利用现代先进的科学技术和仪器,设计出快速、高效、高质量的掺假检测方法有着重要的研究价值。本文选取乳制品和谷物作为可食用蛋白类产品的典型代表,对现代光谱技术中的近红外光谱、中红外光谱和高光谱成像技术进行全面综述,总结以上检测方法在蛋白类产品掺杂检测中的应用现状与研究进展,以推动蛋白质类产品掺杂检测技术的发展,切实保障食品质量安全。The phenomenon of adulteration in edible protein products available in the market remains a persistent issue despite repeated prohibitions. Some unethical merchants add substances such as starch, plant-based protein, and nitrogen to their products with the intention of reducing production costs. Consequently, various adulteration problems continue to emerge. Therefore, employing modern advanced scientific technologies and instruments to design fast, efficient, and high-quality adulteration detection methods holds significant research value. In this paper, dairy products and grains are selected as typical representatives of edible protein products. A comprehensive review is conducted on the application status and research progress of near-infrared spectroscopy, mid-infrared spectroscopy, and hyperspectral imaging techniques in modern spectroscopic technology for the detection of protein product doping. The objective is to promote the development of protein product doping detection technology and effectively ensure food quality and safety.
文摘为了防虫、延长储存时间,山药常被熏硫,构建硫熏中药材快速鉴别方法具有重要意义。本研究通过模拟市场上山药的熏蒸过程,在实验室制备了一批模拟样品,采集了山药的近红外光谱图,并利用化学计量学方法进行分析。利用TQ Analyst软件分析不同硫熏浓度及时间条件下山药的近红外光谱特征,建立硫熏山药定性分析模型。研究表明,该模型的准确率高达100%。通过近红外光谱和化学计量学模型的组合,能快速识别山药是否被硫熏,此研究为快速鉴别山药硫熏情况提供了新路径。*通讯作者。In order to prevent pests and prolong storage time, Chinese yam is often fumigated with sulfur. In this work, a batch of simulated samples were prepared in the laboratory by simulating the fumigation process of yam on the market. Near-infrared (NIR) spectra of Yam were then recorded and analyzed by Chemometrics methods. Based on the spectral characteristics of Chinese yam under different sulfur-fumigated concentration and time, a qualitative analytical model was established by TQ Analyst software. The research shows that the accuracy of the model is as high as 100%. The combination of NIR spectroscopy and Chemometrics model can rapidly identify whether yam has been to exposed to sulfur. This study provides a new way for rapid identification of sulfur-fumigated yam.
