近红外光谱的发展背景及在石油行业中的应用

近红外光谱分析技术是一种快速、无损、便携的现代分析技术,非常适合快速的质量检测。我国对近红外光谱分析技术的研究及应用起步比较晚,先后在20世纪70-80年代掀起两次引进热潮。由于近红外光在常规光纤中良好的传输特性,使近红外光谱在线分析领域得到很好应用,并取得极好的社会和经济效益,从此近红外光谱步入一个快速发展的时期。本文主要综述了近红外光谱的历史背景,发展现状,以及近红外光谱在石油行业中的应用情况。     

近红外光谱法用于多组分复杂体系定量分析的研究进展

目前近红外光谱分析技术结合化学计量学处理多组分复杂体系有着很好的效果.文章介绍了近红外光谱定量分析基本方法以及主成分回归、偏最小二乘和人工神经网络三种化学计量学方法.最后重点综述了近红外光谱结合化学计量学方法处理多组分复杂体系在行油化工、医学、农业、土壤环境监测、纺织等领域的应用现状及发展前景.     

近红外光谱分析技术在食品脂肪含量测定上的应用

近红外光谱(NIR)分析技术是一种快速、无损的新型检测技术,在农业与食品等研究领域获得越来越广泛的应用。简要介绍了近红外光谱的原理、以及近红外光谱在食品脂肪含量测定上研究及应用现状,并对近红外光谱的应用前景进行了展望。     

近红外光谱分析技术在原油调合中的应用

介绍了当前应用于原油性质快速测定的近红外光谱分析仪和分析技术,以及该技术在原油调合中的应用,分析了该技术在炼厂应用时应注意的问题,为今后技术改进提供参考.该技术的分析系统由分析仪、原油基础数据库、近红外谱图数据库和分析软件组成.     

近红外光谱分析在药品检测中的应用

随着我国医药行业的逐步发展,近红外光谱分析技术逐渐应用在药品检测中,不仅避免了对药品造成的伤害,还促使药品检测效率得到提高。近红外光谱分析技术与传统的药品检测技术相比,提高了药品检测的效率与质量,从而促进了我国医药行业的发展。基于此,分析了光谱原理以及近红外光谱分析技术的特点,并且探究了近红外光谱分析在药品检测中的应用。     

近红外光谱分析技术及其应用

对近红外分析技术的研究和应用进行了综述,包括近红外分析技术的概述、分类并分析其特点,重点介绍了近红外光谱分析技术在石化、煤炭、药物分析、食品、茶叶和烟草等领域的应用.     

近红外光谱分析技术在石油化工中的应用

介绍近红外光谱分析技术的工作原理、光谱的预处理方法、定量分析方法、定性分析方法,综述了近红外光谱分析技术在石油化工领域中的应用现状,并对目前近红外光谱分析技术的发展方向作了简单的评论。     

近红外光谱技术在药物分析中的应用

近红外光是介于可见光和中红外光之间的电磁波,根据美国实验和材料检测协会(ASTM)的定义是指波长在780~2 526nm的电磁波,通常分为近红外短波和近红外长波。近红外光谱属于分子振动光谱的倍频和主频吸收光谱,穿透力较强。近红外光谱分析技术是大型化工、食品加工、制药等领域生产所必须的重要分析技术之一。阐述了近红外光谱技术在药物分析中的应用及该技术的特点和分析方法原理。     

探讨近红外光谱技术在煤质分析中的应用

随着我国社会经济的发展,煤炭在人们的生活以及工作的方方面面都得到了广泛的应用,煤炭的使用情况取决于煤炭煤质的好坏。以往传统的检测方法具有很大的缺陷,例如,检测过程耗费的成本高、工作效率低下、检测之后的后续处理工作比较繁琐等,这就要求在煤质分析方面需要更新升级相应的检测技术,近红外光谱技术在煤质分析过程中的使用具有重要的意义。通过分析近红外光谱技术在煤质分析中应用的现状,以及近红外光谱技术运行的前景,旨在全面地提高近红外光谱技术在煤质分析中的全面应用,推进煤炭使用的效率,全面提高人们的生活水平。     

近红外光谱分析技术在油品分析中的应用

对近红外光谱分析技术实行概述,对近红外光谱分析技术应用于油品分析现状加以研究,然后对近红外光谱分析技术在油品分析中的应用情况进行探讨,主要的目的:合理运用近红外光谱分析技术对油品分析,确保检测分析结果的准确性及完整性。     

近红外光谱在中药大黄乙醇提取液快速分析中的应用研究

用声光可调滤光器(AOTF)-近红外(NIR)光谱法在线分析中药大黄乙醇提取液比重及大黄素含量,用偏最小二乘(PLS1)法分别建立NIR光谱与含量、比重的校正模型。结果表明,提取液NIR光谱与比重、含量的校正模型相关系数R2分别为0.989 0,0.988 4,相对偏差分别为0.26%,2.66%,精密度分别为0.15%,2.84%;5 h稳定性分别为0.13%,2.03%,回收率分别为99.8%,95.6%。该方法具有快速、直接、多成分同时测定特点,并能实现现场在线分析。     

近红外漫反射分析技术在测定聚丙烯粉料中二甲苯可溶物方面的应用

文章探讨了利用近红外分析技术快速判断聚丙烯粉料中的二甲苯可溶物含量的应用。用近红外漫反射法收集了样品的近红外光谱图。参照化学计量学分析方法测定聚丙烯样品的二甲苯可溶物含量。利用偏最小二乘法线性回归法建立了聚丙烯二甲苯可溶物的近红外光谱预测模型。将近红外法测定结果与化学分析方法测定结果进行了比较,对光谱测量的重复性进行了考察。结果表明,利用近红外光谱法与化学分析法的测定结果无显著差异。     

近红外光谱技术在中药栀子渗漉液理化指标快速分析中的应用研究

用声光可调滤光器(AOTF)-近红外(NIR)光谱法在线分析栀子渗漉液密度及栀子苷含量。在线收集栀子渗漉液样品,建立栀子渗漉液的含量、比重数据库,同时采集近红外光谱图谱,用偏最小二乘(PLS1)法分别建立NIR光谱与含量、比重数据之间的校正模型,并对在线过程中收集的预测集样品进行含量预测来验证所建模型。结果表明,渗漉液NIR光谱与含量、比重数据之间的校正模型相关系数R2分别为0.956 0和0.978 2,外部样品预测平均相对偏差分别为0.09%,2.84%;该方法精密度RSD分别为0.06%,2.96%;稳定性RSD分别为0.63%,1.89%;预测回收率分别为100.0%,99.9%。近红外光谱技术在栀子渗漉液密度及淫羊藿苷含量分析中具有快速、直接、多成分同时测定,并能实现现场分析。     

The information content in NIR spectral data for slurries of organic crystals

Despite being widely used in agriculture, food production and environmental monitoring and regarded as on-line chromatograph in petrochemical and biochemical industries, near infrared spectroscopy (NIR) has found difficulties in its application to processes of particle formation through crystallisation or precipitation where solids suspended in solutions cause problems in instrumentation as well as distortion of the spectra. The research work reported here was motivated by the hypothesis that the effect of particles on the NIR spectra in effect brings an opportunity instead: the spectra might contain useful information of both the solid and liquid phases. Through carefully designed experiments using both glutamic acid solutions and slurries of varied solid concentrations and particle size and temperature ranges and with the help of chemometric data analysis, it was found that the NIR spectra clearly contain sensitive information about the size, solid concentration, liquid concentration as well as polymorphs of crystals, providing the possibility of using the instrument for simultaneous measurement of the multiple properties of both phases.     

Monitoring the effects of selective laser sintering (SLS) build parameters on polyamide using near infrared spectroscopy

Near infrared spectroscopy has been used to monitor the effects of changing build parameters on the sintering process of selective laser sintering components. The surface roughness of the parts produced has been studied whilst modifying laser scan speed and laser power build parameters. Near infrared spectroscopy is shown to be a powerful tool in detecting subtle variations in the coalescence of particles that form the surface topology of the component. Principal component analysis (PCA) performed on the diffuse reflectance spectra obtained from the surface of the components shows a strong correlation between near infrared (NIR) spectra and build parameters. Using the chemometric model produced from the PCA analysis it is possible to calculate build parameters for unknown components, making NIR a useful aid for quality control of additive manufacturing technologies. © 2011 Wiley Periodicals, Inc. J Appl Polym Sci, 2011     

The use of near infrared reflectance spectroscopy in the control of flour protein content

Near infrared reflectance spectroscopy (NIR) is a rapid (50s) and non-destructive method of analysis of a wide variety of solid, semi-solid and liquid samples. Since no sample preparation is required for many sample types, particularly powders, NIR is an ideal technique for process control. The use of NIR to monitor the protein content of flour in order to optimise the milling conditions and the composition of the grist is described. Control of the blending of flours or supplementation with wheat gluten to achieve a composite flour of a given protein content is proposed.     

近红外光谱法在汽油分析中的应用

总结了近红外光谱法在汽油分析中的应用.包括:辛烷值、烯烃、芳烃含量、族组成、性和组成、生产控制中的分析和测定以及汽油牌号的识别.     

Chemometric analysis of combined NIR and MIR spectra to characterize French olives

Chemometric treatment of near‐infrared (NIR) and mid‐infrared (MIR) combined spectra was used firstly to predict oil and water contents in fresh olive fruit samples (n = 223) and secondly to classify these samples into five principal French cultivar origins (Aglandau, Cailletier, Olivière, Salonenque, and Tanche). The study was carried out during four crop years (2005/2006 to 2008/2009) to take into account the seasonal variations. The comparison of the results obtained in the combined range (REP = 2.6% for the water content and 3.5% for the oil content) provides an obvious advantage compared to the NIR and MIR techniques used separately. Fresh olive fruit cultivars were satisfactorily classified with the partial least squares‐discriminant analysis (PLS‐DA) method in the combined range. After use of the K‐means clustering on the PLS‐DA scores, all the samples were well classified into their five groups of origin. The use of infrared combined spectra allows a considerable improvement in estimating olive fruit quality (oil and water contents, varietal origins).     

Novel approaches in NIR curing technology

Near infrared (NIR) curing technology is used more and more in coating processes where high belt speeds are needed to reduce the curing time from minutes down to seconds [1], [2].In times of increased concern for energy consumption it is vital to optimize the uptake of energy by the coating system caused by differences in pigmentation. As standard clear coats typically absorb NIR radiation only to a small extent, the heat uptake proceeds mainly indirectly via thermal conduction from the substrate e.g. steel and by convection. NIR absorption in pigmented systems is strongly dependent on the choice of inorganic and/or organic pigments. In particular, pale shades absorb only a small amount of NIR radiation.Efficient, colorless and transparent NIR absorbers are highly desirable for further penetration of NIR curing technology into industrial reality.The presented data in this paper demonstrates for the first time the use of an efficient NIR absorber (NIR-A 1) in different pigmented as well as transparent coating formulations. Its performance against 3 commercially available near infrared absorbers was evaluated concerning absorption in the near infrared region (800–1500 nm) as well as heat uptake during near infrared curing. NIR-A 1 reaches absorption values as high as 30% calculated versus carbon black (FW^® 200) as 100% reference, with a broad absorption profile. It outperforms the 3 commercial near infrared absorbers also concerning heat uptake after near infrared curing. An evaluation of the weathering stability shows nearly no impact on a clear coat after 1500 h WOM CAM 7. The addition of 0.05 w%/w of NIR-A 1 to a 45.0 w%/w TiO₂ pigmented formulation leads to more than a doubled belt speed to cure. Only a low impact on the color of the coating formulation can be seen.     

近红外漫反射分析技术在测定共聚聚丙烯中乙烯含量的应用

文章探讨了利用近红外漫反射分析技术快速判断共聚聚丙烯中的乙烯含量的应用。用近红外漫反射法收集了样品近红外光谱图。利用中红外方法测定共聚聚丙烯样品的乙烯含量。利用偏最小二乘法线性回归法建立了聚丙烯中聚乙烯含量的近红外光谱预测模型。将近红外法测定结果与中红外方法测定结果进行了比较,对光谱测量的重复性进行了考察。结果表明,利用近红外光谱法与中红外方法的测定结果无显著差异,近红外法具有准确,快速,操作简便和低成本等特点。