我国油料产品品质的近红外光谱快速检测技术研究进展

近红外光谱技术是一种快速无损检测技术,具有操作简单、检测成本低、无需化学试剂、绿色环保,以及可实现多品质参数同步检测等优点。该文综述了我国油料和食用植物油品质的近红外光谱速测技术研究进展,包括油料含油量、粗蛋白含量、脂肪酸含量等品质指标,食用油的理化指标,以及脂肪酸和食用油的真实性鉴别,并对油料产品品质的近红外光谱速测技术的发展前景进行了展望。     

Cr3+ 掺杂近红外荧光材料的研究进展

近红外光谱检测技术具有非侵入性、便携性、响应速度快、效率高等特点,在食品分析、医学监测、虹膜识别和红外成像等领域具有广阔的应用前景。然而,近红外荧光材料面临发射谱带窄、热稳定性差的问题,极大制约了近红外器件的发展。为此,蓝光激发Cr3+掺杂的近红外发光材料在众多方案中优势显著。本综述总结了近年来Cr3+掺杂的宽带近红外荧光材料的最新研究成果,分析了Cr3+掺杂的近红外荧光材料量子效率、发射谱带、电声耦合效应和NIR pc-LED器件的封装,并阐述了Cr3+离子格位占据、敏化发光、发射谱带和热稳定性调控策略。最后,对高效宽光谱发射近红外发光材料的应用前景进行了展望。     

细胞内活性小分子近红外荧光成像探针

近年来,随着生命科学的不断发展,人们对细胞内活性小分子在病理、生理等方面的功能研究越来越深入。荧光成像作为一种直观、原位的可视化观测技术在小分子检测方面得到了广泛应用,其中基于近红外分子与纳米探针的荧光成像技术因具有背景干扰低、对细胞损伤小、样品穿透性强、检测灵敏度高等优点,显示了较好的应用前景。本文评述了近年来近红外荧光探针用于细胞内活性小分子成像检测的应用及进展,主要讨论该类方法在活性氧物质、金属离子、H+、阴离子及巯基化合物的分析应用,并对该方法的应用前景进行了展望。     

近红外光谱快检技术在口岸安全监管领域的应用展望

近红外快速检测技术在全球范围内作为一项新兴的快速检测手段,已在农业、食品、饮料、石油、材料、制药、医学、动植物检疫及其工业化过程等领域得到了广泛应用。该文结合近红外光谱快速检测原理及其应用现状,针对口岸安全监管中的商品智能归类、材料成分快速鉴定、动植物产品快速检疫鉴定、商品装卸载过程的在线监测等需求,提出引入近红外光谱检测技术应用于口岸安全监管领域的设想,力求为实现口岸贸易安全与贸易便利化双重目标奠定科技基础,并给出了近红外在口岸安全监管研究方面的应用展望。     

转基因作物检测新技术研究进展

随着生物技术的发展,转基因作物的种植面积显著增加,公众对转基因产品的安全性也更加关注。因此,加强对转基因作物及其产品的检测尤为重要。现有的常规转基因检测方法已不能满足快速、灵敏、高通量及准确定量的要求。本文就转基因检测技术的研究进展进行了综述,重点介绍了蛋白质组学技术、生物分子互作技术及近红外光谱分析技术等新技术在转基因检测中的应用前景。     

用近红外光谱法快速测定头孢曲松钠色差

应用近红外光谱分析技术,建立了头孢曲松钠色差的检测模型,并快速、准确地测定了头孢曲埝钠的色差。实验结果表明：近红外光谱分析方法的预测值与化学分析值有显著的相关性,相关系数为0．9783。     

磁性纳米标记检测技术在生物医学即时检测领域的研究进展

基于磁性纳米材料的磁标记检测技术具有灵敏度高、线性范围广、信号检测便捷等优点。由于生物样品自身磁背景信号极低,相比于光学标记检测技术,磁标记检测技术在蛋白质、核酸、细胞、病原体及生物组织检测中均表现出更高的灵敏度,在生物医学即时检测领域展现了良好的应用前景。该文围绕磁性纳米粒在即时检测领域的最新研究进展,重点介绍了其在蛋白质、核酸以及几类病原体检测方面的应用,并对基于磁性纳米粒的即时检测技术发展方向及应用前景进行了展望。     

支持向量回归在人体血红蛋白无创检测中的应用

采用线性渐变滤光片(Linear variable filter, LVF),优化设计高性能、便携式的人体血液成分近红外检测设备,研究了支持向量回归(Support vector regression, SVR)模型对人体血红蛋白(Hemoglobin, Hb)的预测能力及稳定性,以实现贫血疾病的无创诊断.无创采集100位志愿者食指前端光谱信息并划分定标集、验证集1和2.应用网格搜索方法优选惩罚参数与核函数参数c=5.28, g=0.33,用以建立稳健的SVR模型.随后,分别对验证集1和2中Hb水平进行定量分析.实验结果表明: 预测标准偏差(RMSEP) 分别为10.20 g/L和10.85 g/L,相对预测标准偏差(R-RMSEP) 为6.85%和7.48%,测量精度较高且SVR模型对不同样品的适应性较强,基本满足临床检测要求.基于SVR算法自行设计的LVF型近红外光谱检测设备在贫血症的无创诊断中有着良好的应用前景.     

动物源性食品大环内酯类抗生素残留检测样品前处理技术研究综述

大环内酯类抗生素在全球饲料添加剂中仅次于四环素类抗生素,使用广泛,可通过食物链进入人体,对人体健康造成影响.因此,开发相应的残留检测技术有重要的社会意义.而样品前处理技术的发展与革新对抗生素残留检测技术发展具有巨大的推动作用.本文综述了近年来动物源性食品大环内酯类抗生素残留检测样品前处理技术研究进展,并对样品前处理技术在动物源性食品大环内酯类抗生素残留检测中的应用前景进行了展望,以期为相关研究者提供技术参考.     

近红外光谱在无机微量成分分析中的应用

由于近红外光谱的独特优势, 在实际复杂样品分析中发挥了重要作用. 但由于近红外光谱的信号相对较弱, 无机离子在近红外光谱中一般没有响应, 因此难以用于微量成分特别是无机微量组分的测定. 总结了近红外光谱技术在环境、土壤、植物及生物样品分析中的应用, 说明了近红外光谱用于无机微量成分分析的原理. 由于近红外光谱技术一般通过多元校正方法进行定性定量分析, 利用组分间的相互作用或组分含量之间的相关性可以实现微量组分或无光谱响应组分的定量分析. 还总结了富集技术在近红外光谱分析中的应用, 利用富集技术可实现稀溶液中金属离子含量的快速测定, 并可以改善分析的灵敏度和检测限.     

Detection of adulteration in acetonitrile

To address the increasing concern that acetonitrile may be intentionally adulterated to meet the shortfall in global supplies resulting from a downturn in its manufacturing, three analytical techniques were examined in this study. Gas Chromatography with Thermal Conductivity Detection (GC-TCD), Near Infrared (NIR) spectroscopy and Fourier Transform Infrared (FT-IR) spectroscopy were assessed for their ability to detect and quantify potential adulterants including water, alternative organic solvents, and by-products associated with the production of acetonitrile. The results of the assessment of the three techniques for acetonitrile adulteration testing are discussed.     

Spektroskopische Untersuchungen von Magnesiumsulfatlösungen in Wasser-Methanolgemischen im nahen Infrarot-Bereich

Spectroscopic Studies on Water-Methanol Solutions of Magnesium Sulphate in Near Infrared Region Spectroscopic studies on spectra of water-methanol solutions and water-methanol solutions of magnesium sulphate, unknown in literature, are presented. The influence of salt addition on the position of absorption maxima of water and methanol, as well as their intensity, was observed. The changes described were connected with interaction existing in tested systems.     

A review of recent trends in polymer characterization using non-destructive vibrational spectroscopic modalities and chemical imaging

This review focuses on the recent developments in vibrational spectroscopy and chemical imaging (i.e. Raman, Near Infrared, Mid Infrared) to characterize polymers in diverse forms, their behaviour and transient phenomenon. First, important polymeric properties and traditional methods of their characterization are outlined. Then relative advantages & disadvantages have been presented of different characterization methods are presented. This is followed by a detailed review of applications of chemical imaging and spectroscopic techniques in polymer characterization, including the limitations encountered. The article ends with a discussion on the future of chemical imaging with regards to polymer characterization.     

Principles and applications of quality control by near infrared spectroscopy using the example of polymer additives

Due to its easy application, modern Near Infrared instrumentation is paid increasing attention when considering quality control in the chemical plant. The philosophy of spectrometric quality control and its possibilities and limitations are discussed on the basis of information theory considerations. Considering a group of 74 polymer additives it is shown how, by differentiated calibration with the aid of principal component analysis (PCA), a system could be designed for successfully controlling the quality of incoming products.     

Regression models based on new local strategies for near infrared spectroscopic data

In this work, a comparative study of two novel algorithms to perform sample selection in local regression based on Partial Least Squares Regression (PLS) is presented. These methodologies were applied for Near Infrared Spectroscopy (NIRS) quantification of five major constituents in corn seeds and are compared and contrasted with global PLS calibrations. Validation results show a significant improvement in the prediction quality when local models implemented by the proposed algorithms are applied to large data bases.     

Portable NIR Raman microspectroscopy investigation on Early Bronze IV pottery (2500–1950 BCE) from Khirbat Iskandar,Jordan

Portable Near Infrared Micro-Raman (NIR μ-Raman) spectroscopy was used, as a preliminary and non-destructive technique, in order to investigate the mineralogical composition of a group of pottery sherds from Khirbat Iskandar, Jordan. Preliminary results show that the ceramic body is composed mainly of quartz, calcite, and minor amounts of feldspars and hematite. In addition, the presence of Olivine and anatase, important markers to identify the provenance of raw materials, was detected. Furthermore, the occurrence of Portlandite was related to both rehydration of calcite and burial alteration processes. Finally, a study of Raman spectrum of Amorphous Carbon, identified as temper in the clay, was performed to estimate the manufacturing parameters (maximum temperature and permanence time).     

Near infrared studies of styrene-sodium methacrylate ionomers

Near Infrared (NIR) spectroscopy coupled with chemometrics techniques were utilized to study the composition and properties of styrene-sodium methacrylate ionomers. Predictive models were obtained for mol % ionic content, as well as for the ionic cluster glass transition temperature, storage modulus, and tan δ peak parameters. The results illustrate the feasibility of using NIR and chemometrics algorithms as a property predictive tool, as well as the potential for the development of full calibration models. The chemometric parameters are discussed based on correlations with ionomer NIR spectral features and the role water molecules play as a probe for the associated structure of the ionomer. © 1998 John Wiley & Sons, Inc. J Polym Sci B: Polym Phys 36: 2877–2886, 1998     

Characterization of epoxy prepreg SPX 8800 system by isothermal differential scanning calorimetry

Isothermal Differential Scanning Calorimetry (DSC) was used to study the curing behavior of epoxy prepreg SPX 8800 system, which contains DGEBA/DICY/Diuron (Diglycidyl ether of bisphenol A/Dicyandiamide/Diuron) reinforced by three layers of glass fibre. The rate curves from the DSC study agreed well with those obtained from the isothermal FT Near Infrared (FTNIR) study and similar activation energy was obtained in the range of 92.6 to 87.7 kJ/mol up to 50% total conversion. Modelling of the whole DSC trace with empirical equation dx/dt=kx^m(A-x)ⁿ gave relatively good fitting of the experimental curves (the error is lower than 15%.) in the whole studied cure temperature range (75-110°C) and no significant difference in cure kinetics was observed for both epoxy prepreg and neat resin.     

Spectroscopic probes for real-time monitoring of polymer modification and degradation reactions

The processing of polymers may be accompanied by oxidation and elimination reactions that affect the quality of the final product. In reactive processing, polymerisation occurs in the extruder or autoclave and the extent of reaction becomes an important process variable. The monitoring of these chemical changes in real-time so that processing may be optimised requires the use of analytical methods such as fibre-optic Near Infrared (NIR) spectroscopy. In this paper the requirements and limitations for this and related spectroscopic probes are described and novel approaches based on infrared emission and transient infrared transmission spectroscopy (TIRTS) are discussed. To cite this article: G. George et al., C. R. Chimie 9 (2006).     

Near infrared reflectance spectrometry classification of cigarettes using the successive projections algorithm for variable selection

This paper proposes a methodology for cigarette classification employing Near Infrared Reflectance spectrometry and variable selection. For this purpose, the Successive Projections Algorithm (SPA) is employed to choose an appropriate subset of wavenumbers for a Linear Discriminant Analysis (LDA) model. The proposed methodology is applied to a set of 210 cigarettes of four different brands. For comparison, Soft Independent Modelling of Class Analogy (SIMCA) is also employed for full-spectrum classification. The resulting SPA-LDA model successfully classified all test samples with respect to their brands using only two wavenumbers (5058 and 4903 cm⁻¹). In contrast, the SIMCA models were not able to achieve 100% of classification accuracy, regardless of the significance level adopted for the F-test. The results obtained in this investigation suggest that the proposed methodology is a promising alternative for assessment of cigarette authenticity.