电子鼻在农药残留检测中的应用研究进展

介绍了电子鼻技术的由来、在农药中使用现状及其工作原理,综述了近几年的研究方向和趋势,并且展望了其在农药残留检测方面的未来。     

咖啡渣在高分子复合材料中的应用研究综述

咖啡渣是咖啡冲泡后产生的废弃物,因具有刚性、多孔和生物可降解特性,可用作功能填料,强化或者赋予基材特性。通过文献研究综述了近年来国内外咖啡渣在高分子复合材料领域的应用研究进展。     

基于电子鼻技术的食用大豆油品质快速评价研究

为了探索电子鼻对植物油品质的快速评价方法,利用电子鼻对食用植物油大豆油的新鲜样品和其贮藏变质样品进行检测分析。通过对所获得的数据进行主成分分析(Principalcomponent Aanalysis,PCA)、线性判别函数分析(Linear Discriminant Analysis,LDA)和荷载(Loadings)分析。结果表明:新鲜大豆油在电子鼻传感器上有明显差别的特征性响应图谱,它们的对应贮藏劣质大豆油也有明显的特征性响应图谱,而且电子鼻能够有效识别新鲜大豆油和对应贮藏劣质大豆油,将电子鼻应用于大豆油的品质鉴定具有一定的可能性。     

基于电子鼻技术油炸废油的检测方法初步研究

油炸废油是指多次反复用于油炸食品的严重氧化变质食用油脂,产生对人体有害的化学物质。为了探索电子鼻对油炸废油检测鉴定的可行性,利用电子鼻的传感器对花生油样品和其油炸废花生油样品进行了测定,并对所获得的数据进行主成分分析(Principal component analysis,PCA)、线性判别函数分析(Linear Discriminant Analysis,LDA)和载荷(Loadings)分析。综合结果表明:新鲜花生油样品和油炸废花生油样品在电子鼻传感器上有明显不同的特征性响应图谱,电子鼻能够有效识别油炸废油。实验证明电子鼻可以初步用于油炸废油的识别。     

咖啡叶中三唑酮残留量的研究

本文以佛罗里矽土加少量活性炭柱净化样品,采用气相色谱——电子捕获检测器(GC—ECD)分析了咖啡叶中三唑酮的残留量,得到了三唑酮残留量随时间变化的关系。     

基于质谱技术的电子鼻在鉴别真假卷烟上的应用

研究出了基于质谱技术的电子鼻系统,利用该系统基于不同烟草挥发物的指纹图,开发出一种简单、快速的真假卷烟鉴别方法,并成功运用该方法实现了从10种卷烟样品中鉴别出真烟和假烟。     

咖啡炭纤维研究现状及展望

咖啡炭纤维作为一种新型改性涤纶,由于其优良的多功能性,如远红外发射功能、抗紫外线功能等,使其在纺织领域的研究与应用越来越广。介绍了咖啡炭纤维的主要性能,详述了咖啡炭纤维的应用和生产现状,以及其自身存在的一些加工和应用弊端,如静电现象等,最后展望了咖啡炭纤维的应用领域。     

应用基于质谱技术的电子鼻鉴别烟用辅助材料

目的是研究电子鼻系统,利用该系统,基于不同辅助材料挥发物的指纹图,开发出一种简单、快速的鉴别烟用辅助材料的方法。     

重金属检测技术在水环境检测中的应用

为达到良好的重金属检测效果,对重金属检测技术的应用策略进行分析,包括水环境中的重金属概述以及传统和现代检测技术在水环境重金属检测中的应用策略。希望通过本次的分析,可以为水环境中的重金属检测效果提升提供科学参考。     

电子鼻测定苯系物的方法研究

为考察电子鼻用于苯系物(BTEX)快速检测的可行性,分别采用电子鼻(zNose4200,GC/SAW)和普通气相色谱(GC522,FID)对其进行分析.结果表明:电子鼻的灵敏度均为普通气相色谱的10倍以上,最高可达140倍.此外,精密度和重现性也优于后者,可用于BTEX快速、实时分析,是一种用于分析环境中挥发性和半挥发...     

用电子鼻比较罗地亚檀香系列的香气

应用一种新方法来区别法国罗地亚檀香系列的香气。利用电子鼻采集四种商品化檀香的香气,得到相应的实验数据,利用主成分分析法（PCA）、单类成分判别分析法（SMICA）等多元统计方法进行数据分析,结果发现四种檀香的香气有一定的差别;电子鼻能够对罗地亚檀香进行区别。     

Potential of the Electronic Nose for the Detection of Respiratory Diseases with and without Infection

Respiratory tract infections are common, and when affecting the lower airways and lungs, can result in significant morbidity and mortality. There is an unfilled need for simple, non-invasive tools that can be used to screen for such infections at the clinical point of care. The electronic nose (eNose) is a novel technology that detects volatile organic compounds (VOCs). Early studies have shown that certain diseases and infections can result in characteristic changes in VOC profiles in the exhaled breath. This review summarizes current knowledge on breath analysis by the electronic nose and its potential for the detection of respiratory diseases with and without infection.     

基于电子舌和电子鼻技术的茶树花保健鲜啤酒辨识分析

应用电子舌与电子鼻技术对茶树花保健鲜啤酒与其他5种啤酒样品进行检测,所得数据用主成分分析方法（PCA）进行分析比较。研究表明,电子舌和电子鼻技术能够将茶树花保健鲜啤酒与其它五种啤酒样品进行很好的区分,说明茶树花鲜啤酒具有与众不同的口感与风味。     

在线检测仪质量检测技术在超薄电子玻璃的应用

随着玻璃行业的飞速发展,对超薄电子玻璃原片的生产厂家提出了更高的要求,针对超薄玻璃的高端应用,就要求在生产过程中对产品的品质进行全方位的监控。本文详细介绍了在线检测仪质量检测技术在超薄电子玻璃生产过程中的应用。     

Application of the Electronic Nose to the Classification of Resistance to Western Flower Thrips in Chrysanthemums

A metal oxide sensor-based electronic nose was tested for its ability to discriminate among chrysanthemum cultivars with varying degrees of resistance to western flower thrips (WFT), based on volatile chemicals released from cut leaves. Cultivars that were susceptible, intermediate, or resistant to WFT [based on mean cultivar rank (MCR)] were used as standards, and were correctly classified (> 90%) by using discriminant function analysis. Several cultivars with unknown resistance were classified based on the standards, and were used as standards in a subsequent trial to classify other unknowns. The results of this study demonstrate some agreement between the WFT resistance categories as designated by the electronic nose and results of feeding bioassays (MCR), suggesting that this technique may serve as a useful screening tool for WFT resistance. Contribution number S211 from the Food Research Program.     

Determination of Origin of Commercial Flavored Rapeseed Oil by the Pattern of Volatile Compounds Obtained via GC–MS and Flash GC Electronic Nose

Flavored rapeseed oil (FRO) is a typical hot‐pressed oil and is widely consumed in China due to its strong characteristic flavor and intensive color. In this study, volatile profiles of 33 representative commercial rapeseed oils in China are characterized by gas chromatography‐mass spectrometry (GC‐MS) and flash gas chromatography (GC) electronic nose system. 51 volatile compounds are identified and the nitriles (methallyl cyanide and 5‐cyano‐1‐pentene), aldehydes (nonanal, 3‐furaldehyde, and 5‐methyl‐2‐furancarboxaldehyde), alcohols (1,5‐hexadien‐3‐ol, 2‐furanmethanol, and phenylethyl alcohol), and pyrazines (2,5‐dimethyl‐pyrazine and 2,6‐dimethyl‐pyrazine) are the major volatile compounds in FROs. Glucosinolate degradation products account for the highest proportion of these volatiles, which are found to have a positive correlation with the erucic acid content (R² = 0.796, p < 0.01). FRO from Sichuan province in the southwest of China can be characterized by the obvious distinctions in flash GC electronic nose combined with principal component analysis, which indicates that the flash GC electronic nose can be used as a promising method to identify the origins of FRO. Practical Applications: This work is helpful for expanding the knowledge of volatiles of commercial flavored rapeseed oil. The data can also serve as a basis for the quality assessment of hot‐pressed rapeseed oil. Meanwhile, the flash GC electronic nose combined with principal component analysis can be used as a promising method for the classification of flavor rapeseed oil production areas.     

UHT脱脂纯牛奶感官评价和电子鼻分析相关性研究

选取四种市售不同品牌的UHT脱脂纯牛奶作为研究对象,通过感官描述性分析和电子鼻技术对其风味属性进行评价。采用主成分分析(PCA)和聚类分析(CA)结合偏最小二乘回归法(PLSR)法将电子鼻传感器性能和感官属性进行相关性分析。结果表明样品奶油味及脂质感评分均较低;电子鼻的十个传感器对四个样品的区分效果良好;基于感官属性和传感器响应值的PLSR分析建立的相关性模型,能够很好地解释感官属性和传感器响应值的相关性,反映脱脂纯牛奶样品的整体信息。本文结合两种技术方法,弥补了人工感官评价存在的主观性与智能感官分析的局限性影响,旨在为后续改善脱脂纯牛奶风味提供技术参考。     

基于改进S变换的电能质量扰动智能检测

为了真实反映电能质量暂态扰动对电网造成的影响,对电能质量暂态扰动的成因和检测方法进行研究。提出一种改进的S变换新方法,对高斯窗函数的尺度因子进行修改,使得结果具有更好的时间和频率分辨率。基于该方法对电能质量暂态扰动信号进行检测,并提取各扰动特征量,同时对检测结果进行数据分析。研究结果表明:修改后的S变换方法能够实现电能质量暂态扰动的实时智能检测,检测结果准确可靠。