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高灵敏和选择性的气体传感器对于实时监测大气中有毒有害气体和早期的疾病诊断具有重要的意义。目前,传统的气敏材料仍然存在着许多问题亟待解决,例如:选择性差、检测极限不够低、使用寿命短等。作为一种多孔的配位聚合物,金属有机框架材料(MOFs)由于其超高的比表面积和较大的孔隙率在气体传感器领域已经得到广泛的应用。利用MOFs自身或者由它们衍生的不同纳米结构的金属氧化物可以提升气体传感器的灵敏度和选择性,为制备新型高性能的气体传感器提供了新的思路和方向。本文结合金属氧化物半导体(MOS)的气敏机理,综述了不同结构的MOFs及其衍生的金属氧化物在电阻式气体传感器领域的研究进展,并对其应用前景和发展方向作出了展望。 相似文献
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对映体选择性化学传感器的研究是化学传感器研究领域新的重要课题。本文作为作者关于这一课题研究报道的开篇,综述了具有手性识别功能的对映体选择性化学传感器和作为其敏感材料的手性识别载体的研究概况,概述了其发展方面及有关问题,收引参考文献67篇。 相似文献
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《化学进展》2015,(Z1)
石英晶体微天平(quartz crystal microbalance,QCM)是一种对质量变化敏感的器件,具有灵敏度高、成本低廉、操作简单、可实时在线检测等优点,在气体传感领域受到了广泛关注。敏感材料是石英晶体微天平气体传感器的关键组成部分,本文综述了不同敏感材料包括有机聚合物、超分子化合物、离子液体和分子液体以及近年来备受关注的纳米材料修饰的QCM对特定气体传感检测的研究现状,详细介绍了纳米材料为敏感膜的QCM气体传感器对不同气体传感检测的研究现状及相关敏感机理。最后,在国内外研究现状的基础上,展望了敏感材料的发展前景。QCM作为一种成本低廉、操作方便、测量精度高的气体传感检测器件,将会有更加广阔的应用前景。 相似文献
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金属有机骨架(MOFs)是由有机配体与金属离子或金属离子簇通过配位作用自组装而成的一种具有永久孔道性的开放结晶骨架,通常也被称为多孔配位聚合物(PCPS)。因为其较大的比表面积、规整的孔道结构、良好的热稳定性和化学可裁剪性,使其在多个领域具有广阔的应用前景。近年来,随着MOFs在传感领域的发展,许多不同的功能基团被引入到MOFs的孔道中,研制出具有荧光识别性能的MOFs。本论文综述了近几年来基于MOFs的化学传感器在离子识别、pH检测、挥发性有机物和气体检测、爆炸物识别和生物分子检测等关键领域的研究进展,并对MOFs在化学传感器的应用前景进行了展望。 相似文献
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改性碳纳米管气体传感器 总被引:3,自引:0,他引:3
碳纳米管气体传感器具有灵敏度高、响应速度快、尺寸小和能在室温下工作等诸多优点,是一种很有前景的气体传感器.然而本征碳纳米管气体传感器只对少数几种气体如NH3、O2、NO2和SO2敏感,检测范围有限;而且这类传感器的检测灵敏度和选择性也有待提高.研究表明对碳纳米管进行改性可以克服这些缺陷.目前已有的改性方法主要包括对碳纳米管表面有机修饰、对碳纳米管掺入无机杂原子以及径向力学变形等.本文对改性碳纳米管气体传感器研究的最新进展进行了综述,分析了上述改性方法在扩大碳纳米管气体传感器的检测范围、提高检测灵敏度和选择性方面的优势和不足,并对其研究前景进行了展望. 相似文献
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Piotr S. Gromski Elon Correa Andrew A. Vaughan David C. Wedge Michael L. Turner Royston Goodacre 《Analytical and bioanalytical chemistry》2014,406(29):7581-7590
Accurate detection of certain chemical vapours is important, as these may be diagnostic for the presence of weapons, drugs of misuse or disease. In order to achieve this, chemical sensors could be deployed remotely. However, the readout from such sensors is a multivariate pattern, and this needs to be interpreted robustly using powerful supervised learning methods. Therefore, in this study, we compared the classification accuracy of four pattern recognition algorithms which include linear discriminant analysis (LDA), partial least squares-discriminant analysis (PLS-DA), random forests (RF) and support vector machines (SVM) which employed four different kernels. For this purpose, we have used electronic nose (e-nose) sensor data (Wedge et al., Sensors Actuators B Chem 143:365–372, 2009). In order to allow direct comparison between our four different algorithms, we employed two model validation procedures based on either 10-fold cross-validation or bootstrapping. The results show that LDA (91.56 % accuracy) and SVM with a polynomial kernel (91.66 % accuracy) were very effective at analysing these e-nose data. These two models gave superior prediction accuracy, sensitivity and specificity in comparison to the other techniques employed. With respect to the e-nose sensor data studied here, our findings recommend that SVM with a polynomial kernel should be favoured as a classification method over the other statistical models that we assessed. SVM with non-linear kernels have the advantage that they can be used for classifying non-linear as well as linear mapping from analytical data space to multi-group classifications and would thus be a suitable algorithm for the analysis of most e-nose sensor data. 相似文献
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与传统的传感器设备阵列相比,由于结构更为简单,具有广泛检测兼容性的光纤系统逐渐成为分布式监测的有力候选者。然而,受工作机制的限制,大多数光纤传感器仍局限于对折射率等物理参数进行探测,一种用于环境化学监测的全光纤分布式传感系统亟待研发。本工作中,我们向化学气相沉积法生长的石墨烯光子晶体光纤(Gr-PCF)中引入了一种化学传感机制。初步结果表明,石墨烯光子晶体光纤可以选择性地检测浓度为ppb级的二氧化氮气体,并在液体中表现出离子敏感性。石墨烯光子晶体光纤与光纤通信系统的波分、时分复用技术结合后,将为实现分布式光学传感环境问题提供巨大的潜力和机会。 相似文献
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Peng Qin Salih Okur Chun Li Abhinav Chandresh Dragos Mutruc Stefan Hecht Lars Heinke 《Chemical science》2021,12(47):15700
Advanced analytical applications require smart materials and sensor systems that are able to adapt or be configured to specific tasks. Based on reversible photochemistry in nanoporous materials, we present a sensor array with a selectivity that is reversibly controlled by light irradiation. The active material of the sensor array, or electronic nose (e-nose), is based on metal–organic frameworks (MOFs) with photoresponsive fluorinated azobenzene groups that can be optically switched between their trans and cis state. By irradiation with light of different wavelengths, the trans–cis ratio can be modulated. Here we use four trans–cis values as defined states and employ a four-channel quartz-crystal microbalance for gravimetrically monitoring the molecular uptake by the MOF films. We apply the photoprogrammable e-nose to the sensing of different volatile organic compounds (VOCs) and analyze the sensor array data with simple machine-learning algorithms. When the sensor array is in a state with all sensors either in the same trans- or cis-rich state, cross-sensitivity between the analytes occurs and the classification accuracy is not ideal. Remarkably, the VOC molecules between which the sensor array shows cross-sensitivity vary by switching the entire sensor array from trans to cis. By selectively programming the e-nose with light of different colors, each sensor exhibits a different isomer ratio and thus a different VOC affinity, based on the polarity difference between the trans- and cis-azobenzenes. In such photoprogrammed state, the cross-sensitivity is reduced and the selectivity is enhanced, so that the e-nose can perfectly identify the tested VOCs. This work demonstrates for the first time the potential of photoswitchable and thus optically configurable materials as active sensing material in an e-nose for intelligent molecular sensing. The concept is not limited to QCM-based azobenzene-MOF sensors and can also be applied to diverse sensing materials and photoswitches.A sensor array with four identical photoresponsive azobenzene-containing metal–organic framework films is selectively irradiated. By photoprogamming the array, the sensor selectivity is switched and optimized. 相似文献
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Linear discriminant analysis (LDA) has been widely used in the classification of multi sensor data fusion. This paper discusses the performance of LDA when the classifications were performed based on feature extraction and feature selection methods. Comparisons were also made based on single sensor modality. These strategies were studied using a honey dataset along with two types of sugar concentration collected from two types of sensors namely electronic nose (e-nose) and electronic tongue (e-tongue). Assessment of error rate was achieved using the leave-one-out procedure. 相似文献
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随着现代社会智能化的加速发展,传感系统中传感器的数量、密度和分布范围不断增加,传统的供能方式难以满足如此复杂多变的传感器供能需求,从周围环境中收集能量并转化为电能的自供能传感器件是解决这一难题的有效途径。石墨烯不仅具有优异的传感性能,而且在各种能源器件中有广泛的应用,这为基于石墨烯的自供能传感器件设计提供了便利。近年来,人们已经研究和发展了多种多样的石墨烯自供能传感器件。本文基于自供能器件的基本能量供给原理,包括电化学供能、光伏供能、摩擦电供能、水伏供能以及热电、压电、热释电等其它供能,分别介绍了石墨烯在自供能传感器件中的应用,并展望了基于石墨烯的自供能传感器件的未来发展、挑战和前景。 相似文献
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油气混相过程的界面传质特性对气驱提高原油采收率技术非常重要。本文针对吉林某油田的实际油组分,采用分子动力学模拟研究了气驱油过程,分析了不同气体和驱替压力下油气两相的状态变化以及界面特性,获得不同驱替气体的最小混相压力(MMP)。结果表明,随着驱替气体压力的升高,气相的密度逐渐增大,油相膨胀密度降低,气相与油相的混合程度增强,油气两相界面厚度增加,界面张力随之减小。同时发现,驱替相中二氧化碳浓度越高,在同等气体压力下,油气界面更厚,油气混合程度更高。纯CO2驱油得到的MMP远远小于纯N2驱油,当这两种气体摩尔比为1 : 1混合时MMP介于两种纯气体之间,说明要达到同样的驱油效果二氧化碳需要的压力更小。最后,本文从分子微观作用力角度解释了驱替气体不同时影响油气混相程度的机制,通过分子平均作用势曲线发现油相分子对CO2的吸引力要大于N2分子,因此CO2分子更容易与油相混合,驱替效果更明显。 相似文献
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Silvano Dragonieri Vitaliano Nicola Quaranta Pierluigi Carrat Teresa Ranieri Enrico Buonamico Giovanna Elisiana Carpagnano 《Molecules (Basel, Switzerland)》2021,26(9)
E-noses are innovative tools used for exhaled volatile organic compound (VOC) analysis, which have shown their potential in several diseases. Before obtaining a full validation of these instruments in clinical settings, a number of methodological issues still have to be established. We aimed to assess whether variations in breathing rhythm during wash-in with VOC-filtered air before exhaled air collection reflect changes in the exhaled VOC profile when analyzed by an e-nose (Cyranose 320). We enrolled 20 normal subjects and randomly collected their exhaled breath at three different breathing rhythms during wash-in: (a) normal rhythm (respiratory rate (RR) between 12 and 18/min), (b) fast rhythm (RR > 25/min) and (c) slow rhythm (RR < 10/min). Exhaled breath was collected by a previously validated method (Dragonieri et al., J. Bras. Pneumol. 2016) and analyzed by the e-nose. Using principal component analysis (PCA), no significant variations in the exhaled VOC profile were shown among the three breathing rhythms. Subsequent linear discriminant analysis (LDA) confirmed the above findings, with a cross-validated accuracy of 45% (p = ns). We concluded that the exhaled VOC profile, analyzed by an e-nose, is not influenced by variations in breathing rhythm during wash-in. 相似文献
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卤化物钙钛矿材料作为一种新型半导体材料,具有优异的光电转换特性、能级结构可调、易于加工、结构和尺寸以及形貌可调、改性后优异的生物相容性等优点,在医学检测传感器中具有广阔的应用前景。本综述讨论了钙钛矿材料在生物医学传感领域的研究进展,钙钛矿医学传感器能通过光电转换、全光转换、电催化等多种物理或化学机制实现传感,具有可灵活选择的器件结构、性能指标和信号传递方式,用于人体代谢物质、神经递质、癌症相关物质和药物等医学物质的检测。钙钛矿医学传感器将为未来的医工多学科融合提供新希望,加快医工融合发展。 相似文献
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纤维及织物因具有良好的柔性、透气性以及适宜的力学性能而成为人们日常生活必不可少的材料。随着柔性电子器件的快速发展,纤维及织物在其自身优势的基础上,开始被人们赋予智能化特征,使得智能纤维和织物逐渐在可穿戴领域占据一席之地。天然蚕丝具有产量大、机械性能优异和生物可降解的优势。近年来,面向智能应用的蚕丝基纤维与织物逐渐发展,被用于传感、致动、光学器件、能量收集和储能等领域。本文将首先介绍天然蚕丝的层级结构和性能,并介绍各种形貌结构的再生蚕丝材料;然后根据其在智能纤维及织物中应用领域的不同,详细阐述蚕丝基智能纤维及织物的制备方法、性能及工作机制;最后讨论进一步发展所面临的挑战与机会,并对未来前景进行展望。 相似文献
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Jrmie Loulier Franois Lefort Marcin Stocki Monika Asztemborska Rafa Szmigielski Krzysztof Siwek Tomasz Grzywacz Tom Hsiang Sawomir
lusarski Tomasz Oszako Marcin Klisz Rafa Tarakowski Justyna Anna Nowakowska 《Molecules (Basel, Switzerland)》2020,25(23)
Fungi and oomycetes release volatiles into their environment which could be used for olfactory detection and identification of these organisms by electronic-nose (e-nose). The aim of this study was to survey volatile compound emission using an e-nose device and to identify released molecules through solid phase microextraction–gas chromatography/mass spectrometry (SPME–GC/MS) analysis to ultimately develop a detection system for fungi and fungi-like organisms. To this end, cultures of eight fungi (Armillaria gallica, Armillaria ostoyae, Fusarium avenaceum, Fusarium culmorum, Fusarium oxysporum, Fusarium poae, Rhizoctonia solani, Trichoderma asperellum) and four oomycetes (Phytophthora cactorum, P. cinnamomi, P. plurivora, P. ramorum) were tested with the e-nose system and investigated by means of SPME-GC/MS. Strains of F. poae, R. solani and T. asperellum appeared to be the most odoriferous. All investigated fungal species (except R. solani) produced sesquiterpenes in variable amounts, in contrast to the tested oomycetes strains. Other molecules such as aliphatic hydrocarbons, alcohols, aldehydes, esters and benzene derivatives were found in all samples. The results suggested that the major differences between respective VOC emission ranges of the tested species lie in sesquiterpene production, with fungi emitting some while oomycetes released none or smaller amounts of such molecules. Our e-nose system could discriminate between the odors emitted by P. ramorum, F. poae, T. asperellum and R. solani, which accounted for over 88% of the PCA variance. These preliminary results of fungal and oomycete detection make the e-nose device suitable for further sensor design as a potential tool for forest managers, other plant managers, as well as regulatory agencies such as quarantine services. 相似文献