高效近红外光谱分析技术在药物分析中的应用

高效近红外光谱分析技术对快速分析或实时检测是非常理想的技术手段,是大型石油化工,农业,制药,食品加工等工业生产所必须依靠的重要分析技术之一。本文重点阐述了高效近红外光谱技术在药物分析中的应用,并且简单介绍了该技术的特点和各种分析方法的原理。     

近红外光谱技术在食品成分及质量控制方面的研究应用进展

本文简要介绍了近红外光谱技术快速检测的基本原理,综述了国内外近红外光谱快速检测技术在食品成分及质量控制方面的研究应用进展,并展望了今后该领域的研究和应用前景.     

近红外光谱技术在鉴别食品真伪和产地属性的应用研究进展

阐述近红外光谱分析技术的理论基础、基本方法、技术特点,归纳总结用于近红外光谱分析的化学计量学方法,列举近红外光谱在食品分析中的定量分析项目和定性分析信息。重点分析近红外光谱技术在食品真伪及产地属性的应用研究。最后概述近红外光谱技术在其他领域中的应用,并展望近红外光谱技术广阔的应用前景。资料表明,近红外光谱以其速度快、不破坏样品、操作简单、稳定性好、效率高等特点,已广泛应用于各个领域。     

近红外光谱技术在食品成分及质量控制方面的研究应用进展

本文简要介绍了近红外光谱技术快速检测的基本原理,综述了国内外近红外光谱快速检测技术在食品成分及质量控制方面的研究应用进展,并展望了今后该领域的研究和应用前景。     

近红外光谱技术在土壤成分检测中的研究进展

近红外光谱技术(NIRS)是一种快速的例行分析方法,在土壤科学领域内具有广阔的应用前景。本文评述了近红外光谱分析技术在土壤成分检测中的应用,并指出了其在土壤领域内的发展方向。     

近红外光谱分析仪校准方法的研究

近红外光谱分析仪,是近年来比较常见的一种仪器,被广泛的应用到许多行业领域。本文分别从近红外光谱分析仪发展态势以及近红外光谱分析仪校准等诸多方面进行探讨,通过构建专业化的校准方式,满足近红外光谱分析仪的校准要求,为今后国家检定规程或标准规范的出台奠定技术基础。     

近红外光谱技术在木材化学属性方面应用的分析

因具有快速、无损、样品易于准备、适合于实际生产的在线检测等优点,近红外光谱技术在木材研究领域的应用越来越广泛。本论文阐述近红外光谱技术在木材木质素、纤维索、抽提物等化学属性预测、以及开展基于NIR技术的木质符合材料的原料属性的预测与分类研究具有重要的实际意义。     

近红外光谱技术检测烟叶中的氨基酸

研究应用傅里叶变换近红外光谱法快速测定烟叶中氨基酸含量的可行性,使用偏最小二乘法(PLS)为建模方法,选择3800~8000 cm-1谱段,采用二阶导数和Norris Derivative滤波法进行光谱预处理,建立了烟叶中氨基酸含量的近红外预测模型。采用留一(leave-one-out)交叉验证法进行建模,并以校正集样品的交叉验证相关系数(R)和均方差(RMSECV)为指标优化光谱预处理方法和模型参数,确定最佳预测模型。将近红外光谱技术与常规标准检测方法相比较,结果表明,近红外光谱技术可以较为准确的测定烟叶中氨基酸的含量。     

高光谱成像技术在纸质档案数字图像去污方面的应用

针对纸质档案数字化过程中面临的污迹、霉斑以及涂画笔迹等问题,采用可见光-近红外波段高光谱成像技术对若干纸质样本在550nm^900nm可见光近红外波段进行了成像实验,获取了样本的可见光-近红外光谱图像数据。研究结果表明,高光谱成像技术可在数字化过程中有效去除样本图像中的霉斑和涂画笔迹,降低数字图像去除污迹的难度,提高纸质档案数字化中的图像质量。     

光谱预处理对棉涤混纺面料近红外定量模型的影响

以46个棉涤混纺面料样品为研究对象,采集样品的近红外漫反射光谱,光谱范围为12 000~4 000 cm-1,利用偏最小二乘法建立定量校正模型,并用交叉检验法对模型进行检验,以交叉验证均方差RMSECV和决定系数R2作为判断模型优劣的标准.对利用无光谱预处理、一阶导数法、二阶导数法、多元散射校正和矢量归一化五种不同预处理方法所建的模型进行了比较,发现对光谱进行矢量归一化预处理所建模型最优;此外还分析了建立纺织布料的近红外光谱定量分析模型时主要的误差来源及近红外光谱分析技术用于纺织面料定量分析的可行性.     

Pharmaceutical Uses of Near-Infrared Spectroscopy

Near-infrared spectroscopy (NIRS) has been used extensively in the food and agricultural industries for the past twenty years. Recent technological advances have made NIRS an attractive analytical method for use in the pharmaceutical industry. NIRS has been shown to be useful as a qualitative and a quantitative method. A review of pharmaceutical applications of NIRS as well as quality control and regulatory issues is presented.     

Pharmaceutical Uses of Near-Infrared Spectroscopy

Abstract

Near-infrared spectroscopy (NIRS) has been used extensively in the food and agricultural industries for the past twenty years. Recent technological advances have made NIRS an attractive analytical method for use in the pharmaceutical industry. NIRS has been shown to be useful as a qualitative and a quantitative method. A review of pharmaceutical applications of NIRS as well as quality control and regulatory issues is presented.     

Near-infrared spectroscopic applications in pharmaceutical particle technology

Abstract

Near-infrared spectroscopy (NIRS) is nowadays an established analytical technique in the pharmaceutical industry. The aim of this review is to present the progress of NIRS in providing useful information for pharmaceutical particle technology. NIR methods are now developed to characterize a wide variety of materials (active pharmaceutical ingredients, excipients, co-processed powders, and physical mixtures) and pharmaceutical dosage forms (conventional, modified drug release technologies, and phytomedicines). This review also provides a number of spectra to illustrate the fundamental understanding of NIRS which has been gained. The sampling that must occur prior to the acquisition of near-infrared spectra is also discussed, as well as developments in monitoring mixing, tableting, and coating. This review will be valuable for product formulation and process engineering specialists.     

Towards the next generation of near-infrared spectroscopy

Although near-infrared spectroscopy (NIRS) was originally designed for clinical monitoring of tissue oxygenation, it has also been developing into a useful tool for neuroimaging studies (functional NIRS). Over the past 30 years, technology has developed and NIRS has found a wide range of applications. However, the accuracy and reliability of NIRS have not yet been widely accepted, mainly because of the difficulties in selective and quantitative detection of signals arising in cerebral tissue, which subject the use of NIRS to a number of practical restrictions. This review summarizes the strengths and advantages of NIRS over other neuroimaging modalities and demonstrates specific examples. The issues of selective quantitative measurement of cerebral haemoglobin during brain activation are also discussed, together with the problems of applying the methods of functional magnetic resonance imaging data analysis to NIRS data analysis. Finally, near-infrared optical tomography--the next generation of NIRS--is described as a potential technique to overcome the limitations of NIRS.     

Quantifying low amorphous or crystalline amounts of alpha-lactose-monohydrate using X-ray powder diffraction, near-infrared spectroscopy, and differential scanning calorimetry

Efficient and accurate quantification of low amorphous and crystalline contents within pharmaceutical materials still remains a challenging task in the pharmaceutical industry. Since X-ray powder diffraction (XRPD) equipment has improved in recent years, our aim was 1) to investigate the possibility of substantially lowering the detection limits of amorphous or crystalline material to about 1% or 0.5% w/w respectively by applying conventional Bragg Brentano optics, combined with a fast and simple evaluation technique; 2) to perform these measurements within a short time to make it suitable for routine analysis; and 3) to subject the same data sets to a partial least squares regression (PLSR) in order to investigate whether it is possible to improve accuracy and precision compared to the standard integration method. Near-infrared spectroscopy (NIRS) and differential scanning calorimetry (DSC) were chosen as reference method. As model substance, alpha lactose monohydrate was chosen to create calibration curves based on predetermined mixtures of highly crystalline and amorphous substance. In contrast to DSC, XRPD and NIRS revealed an excellent linearity, precision, and accuracy with the percent of crystalline amount and a detectability down to about 0.5% w/w. Chemometric evaluation (partial least squares regression) applied to the XRPD data further improved the quality of our calibration.     

Physical barrier type abuse-deterrent formulations: monitoring sintering-induced microstructural changes in polyethylene oxide placebo tablets by near infrared spectroscopy (NIRS)

Objective: The monitoring and evaluation of sintering-induced tablet strength of a polyethylene oxide (PEO) based placebo tables was accomplished using infrared spectroscopy (NIRS).

Significance: Evaluation of high molecular weight PEO-based tablet matrices for abuse deterrent formulation applications is an analytical challenge. NIRS is one tool that can provide physical and chemical evaluation of this polymer and tablet system. In addition, the use of NIRS as a process analytical tool (PAT) to monitor oven sintering of pharmaceutical tablets has not been recorded in the literature. The multiplicative scattering correction (MSC) algorithm was also successfully applied as a new and fast way to calculate NIRS spectral slopes and intercepts to build models against tablet tensile strength with respect to sinter time.

Methods: Both spectral slope regression (SSR) and spectral intercept regression (SIR) models were compared to commonly used partial least squares analysis (PLS) to evaluate placebo PEO based pharmaceutical tablets comprised of PEO at 70, 50, 30% w/w that were compressed at two solid fraction (SF) levels.

Results: All three regression techniques, PLS, SSR, SIR, were evaluated for robustness and reliability and physical relevancy to the system studied. The methods were ranked in utility with SSR being the best method followed by SIR then PLS.

Conclusions: The MSC algorithm was presented to quickly calculate spectral slopes and intercepts for use in SSR and SIR analysis. SSR models were successfully applied and assessed as the optimal modeling technique to monitor sintering of PEO-based matrix tablets.     

Implicit and explicit prior information in near-infrared spectral imaging: accuracy, quantification and diagnostic value

Near-infrared spectroscopy (NIRS) of tissue provides quantification of absorbers, scattering and luminescent agents in bulk tissue through the use of measurement data and assumptions. Prior knowledge can be critical about things such as (i) the tissue shape and/or structure, (ii) spectral constituents, (iii) limits on parameters, (iv) demographic or biomarker data, and (v) biophysical models of the temporal signal shapes. A general framework of NIRS imaging with prior information is presented, showing that prior information datasets could be incorporated at any step in the NIRS process, with the general workflow being: (i) data acquisition, (ii) pre-processing, (iii) forward model, (iv)?inversion/reconstruction, (v) post-processing, and (vi) interpretation/diagnosis. Most of the development in NIRS has used ad hoc or empirical implementations of prior information such as pre-measured absorber or fluorophore spectra, or tissue shapes as estimated by additional imaging tools. A comprehensive analysis would examine what prior information maximizes the accuracy in recovery and value for medical diagnosis, when implemented at separate stages of the NIRS sequence. Individual applications of prior information can show increases in accuracy or improved ability to estimate biochemical features of tissue, while other approaches may not. Most beneficial inclusion of prior information has been in the inversion/reconstruction process, because it solves the mathematical intractability. However, it is not clear that this is always the most beneficial stage.     

Hot-melt extrusion – basic principles and pharmaceutical applications

Originally adapted from the plastics industry, the use of hot-melt extrusion has gained favor in drug delivery applications both in academia and the pharmaceutical industry. Several commercial products made by hot-melt extrusion have been approved by the FDA, demonstrating its commercial feasibility for pharmaceutical processing. A significant number of research articles have reported on advances made regarding the pharmaceutical applications of the hot-melt extrusion processing; however, only limited articles have been focused on general principles regarding formulation and process development. This review provides an in-depth analysis and discussion of the formulation and processing aspects of hot-melt extrusion. The impact of physicochemical properties of drug substances and excipients on formulation development using a hot-melt extrusion process is discussed from a material science point of view. Hot-melt extrusion process development, scale-up, and the interplay of formulation and process attributes are also discussed. Finally, recent applications of hot-melt extrusion to a variety of dosage forms and drug substances have also been addressed.     

浅晰抗生素生产废水的生物处理

在分析抗生素废水的特点的基础上,介绍了抗生素废水生物处理技术的应用及其效果,同时进行分析比较。     

Comparison of near-infrared and laser-induced breakdown spectroscopy for determination of magnesium stearate in pharmaceutical powders and solid dosage forms

Near-infrared (NIR) spectroscopy has become well established in both the pharmaceutical arena and other areas as a useful technique for rapid quantitative analysis of solid materials. Though laser-induced breakdown spectroscopy (LIBS) has not been widely applied in the pharmaceutical industry, the technique has been used for rapid quantitative analysis of solids in many other applications. One analysis amenable to each technique is the determination of magnesium stearate in solids during the lubrication blending unit operation of pharmaceutical processing. A comparative study of the utility of these two techniques for this application will be presented. Necessary sample preparations and the extent and type of matrix effects will be discussed. Additionally, it will be shown that NIR provides better accuracy and precision than LIBS with the experimental parameters used; however, LIBS showed superior selectivity as it was demonstrated to be more robust to sample matrix perturbations. Examples of blending applications will also be presented.