近红外光谱结合特征变量筛选方法用于农药乳油中毒死蜱含量的测定

为提高毒死蜱农药乳油中有效成分近红外光谱定量分析模型的精度和稳定性。采用联合区间偏最小二乘法(siPLS)结合遗传算法(GA)筛选特征变量,由交互验证法确定最佳主成分因子数及筛选的变量数。结果表明,从全光谱区优选出81个变量,主成分因子数为11时,能建立性能最优的模型,模型预测集的决定系数R_p~2为0.972,预测均方根误差(RMSEP)为0.353%。研究表明,利用siPLS结合GA方法优选特征变量,能大幅度地消除农药乳油光谱变量间的冗余信息和无关信息,降低模型的复杂度,提高农药有效成分预测模型的精度及稳定性。     

Application of the Low Frequency Raman Spectroscopy for Studying Ultra-High Molecular Weight Polyethylenes

In the frequency range below ∼150 cm⁻¹, the longitudinal acoustic modes (LAM) localized along straight chain segments (SCS) of macromolecules emerge in the Raman spectra of linear semicrystalline polymers. The LAM frequency is inversely proportional to the SCS length; therefore, the LAM band contour reflects the SCS length distribution in a sample. The opportunities given one by the low-frequency Raman spectroscopy for studying the ordered structures in polyethylene are demonstrated and discussed. The illustrating material consists of both previously published and original data on nucleation and transformation of the ensemble of SCS in powder-like, gelled, and drawn ultra-high molecular weight polyethylene.     

Compositional Analysis of Cement Raw Meal by Near-Infrared (NIR) Spectroscopy

Abstract

A rapid and accurate method is presented to determine CaCO₃, SiO₂, Fe₂O₃, and Al₂O₃ in cement raw meal using near-infrared (NIR) spectroscopy. Multiplicative scatter correction (MSC) was employed to eliminate the scattering signal and partial least squares (PLS) regression was used to build the analysis model. The results demonstrated good performance by this approach for the determination of CaCO₃, SiO₂, Fe₂O₃, and Al₂O₃. NIR spectroscopy exhibits the feasibility to characterize the quality of cement raw meal. Compared with prompt gamma neutron activation analysis (PGNAA) and X-ray fluorescence (XRF), this method is more efficient and safer.     

Broadening the Polyethylene Molecular Weight Distribution by Periodic Variation of the Hydrogen Feed Rate

The ability to control the molecular weight distribution of the created polyethylene in gas‐phase fluidized‐bed reactors is discussed. This objective is achieved via nonlinear model predictive controller utilizing the hydrogen feed rate as the only manipulated variable. The idea for limited usage of manipulated variables is to avoid economically unfavorable operations such as excessive purge and/or reduced production rate. The simulation results indicated successful implementation of the control algorithm to attain the desired molecular weight distribution. The success depends on the improved hydrogen activities inside the reactor by employing a modified catalyst that is responsive to hydrogen variation and allowing a wider range for hydrogen feed rates.

     

Design of Optimal Sequential Experiments to Improve Model Predictions from a Polyethylene Molecular Weight Distribution Model

Reliable model predictions require an appropriate model structure and also good parameter estimates. For good parameter estimates to be obtained, it is important that the data used in parameter estimation are informative. Alphabet‐optimal experimental designs can be used to ensure that new experiments are as informative as possible. This work presents the development of D‐ and A‐optimal sequential experimental designs for improving parameter precision in a molecular‐weight‐distribution model for Ziegler‐Natta‐catalyzed polyethylene. Novel V‐optimal designs techniques are developed to improve the precision of model predictions, and anticipated benefits are quantified. Problems with local minima are discussed and comparisons between the optimality criteria are made.

     

医用超高分子量聚乙烯摩擦磨损性能的研究进展

综述了影响医用超高分子量聚乙烯(UHMWPE)摩擦学性能的因素,以及改进的方法。总的来说,影响因素有填料的种类、润滑剂、接触面、运动轨迹、操作参数等多种因素。通过物理和化学的方法可以改进其摩擦学性能。     

近红外光谱结合遗传算法快速检测红曲菌固态发酵生物量

该文研究了近红外光谱技术在红曲菌固态发酵生物量快速检测方面的应用。共采集了4个批次80个样本的光谱,采用氨基葡萄糖法测定生物量。为降低模型的复杂度和提高模型的预测性能,研究了遗传算法(Genetic Algorithm,GA)的光谱谱区选择方法,并建立所优选光谱变量的预测红曲菌固态发酵生物量的PLS模型。为说明遗传算法优选光谱变量的可行性,另外分别建立了全谱和相关系数法两种波长选择方法下的PLS定量模型,比较分析了3种方法所获模型的预测能力,并对GA方法优选的光谱波段信息与菌体成分中含氢基团的对应吸收进行分析。结果表明,遗传算法能在降低模型复杂度的同时提高模型的预测性能,其建模结果为Rc=0.998 3,RMSECV=3.580 2,Rp=0.993 1,RMSEP=3.643 7,参与建模的数据点由全谱的1 457个减少到585个,且模型预测精度相比FS-PLS模型提高了11.55%。研究表明近红外光谱技术结合遗传算法所建的PLS预测模型能够实现红曲菌固态发酵生物量的快速检测,从而为进一步实现在线发酵过程优化控制提供依据。     

Simultaneous Deconvolution of Molecular Weight Distribution and Chemical Composition Distribution of Ethylene/1-Olefin Copolymers Synthesized with Multiple-Site-Type Catalytic Systems

Summary: Ethylene/1-olefin copolymers synthesized with multiple-site-type catalytic systems typically exhibit broad molecular weight distribution (MWD) and chemical composition distribution (CCD). These microstrucral characteristics can be described by the presence of several active site types, each of which produces chains with distinct chain microstructures. In this work, a new approach to identify the number of active site types and chain microstructures produced on each active site type was developed based on simultaneous deconvolution of the bivariate MWD/CCD information. Chain microstructures produced on each active site type are assumed to follow Stockmayer's bivariate distribution. The proposed approach was validated with simulated data of model ethylene/1-butene and ethylene/1-octene copolymers.     

Insect Protein Content Analysis in Handcrafted Fitness Bars by NIR Spectroscopy. Gaussian Process Regression and Data Fusion for Performance Enhancement of Miniaturized Cost-Effective Consumer-Grade Sensors

Future food supply will become increasingly dependent on edible material extracted from insects. The growing popularity of artisanal food products enhanced by insect proteins creates particular needs for establishing effective methods for quality control. This study focuses on developing rapid and efficient on-site quantitative analysis of protein content in handcrafted insect bars by miniaturized near-infrared (NIR) spectrometers. Benchtop (Büchi NIRFlex N-500) and three miniaturized (MicroNIR 1700 ES, Tellspec Enterprise Sensor and SCiO Sensor) in hyphenation to partial least squares regression (PLSR) and Gaussian process regression (GPR) calibration methods and data fusion concept were evaluated via test-set validation in performance of protein content analysis. These NIR spectrometers markedly differ by technical principles, operational characteristics and cost-effectiveness. In the non-destructive analysis of intact bars, the root mean square error of cross prediction (RMSEP) values were 0.611% (benchtop) and 0.545–0.659% (miniaturized) with PLSR, and 0.506% (benchtop) and 0.482–0.580% (miniaturized) with GPR calibration, while the analyzed total protein content was 19.3–23.0%. For milled samples, with PLSR the RMSEP values improved to 0.210% for benchtop spectrometer but remained in the inferior range of 0.525–0.571% for the miniaturized ones. GPR calibration improved the predictive performance of the miniaturized spectrometers, with RMSEP values of 0.230% (MicroNIR 1700 ES), 0.326% (Tellspec) and 0.338% (SCiO). Furthermore, Tellspec and SCiO sensors are consumer-oriented devices, and their combined use for enhanced performance remains a viable economical choice. With GPR calibration and test-set validation performed for fused (Tellspec + SCiO) data, the RMSEP values were improved to 0.517% (in the analysis of intact samples) and 0.295% (for milled samples).     

超高分子量聚乙烯温等静压成型工艺及性能

利用全软模温等静压成型方法成功制备出直径达120mm,高105mm的超高分子量聚乙烯柱状制件,研究了成型压力对成型性能的影响。利用扫描电镜、X射线衍射及示差扫描量热法研究了不同成型压力下结晶度的差异。结果表明:提高压力更有利于结晶,160 MPa下成型样品的熔点为143.0℃,片晶厚度为123nm,结晶度达到69.39%,抗拉强度达到36.8 MPa,缺口冲击强度达到152.3kJ/m~2,断裂伸长率达到634%。     

Molecular Weight Distributions in Coupled Polymers Using Z‐Transform

A study of end‐to‐end coupling reactions of bifunctional linear prepolymers of the Schulz–Flory type is presented by use of Z‐transform. The application of Z‐transform allows one to derive exact expressions for the change of molecular weight distributions in dependence of the progress of the coupling reaction. After coupling the distribution is also of Schulz–Flory type, however, it depends in a relatively complicated manner on the extent of reaction of the prepolymer and on the extent of the coupling reaction. Further expressions are derived for various dependencies including the influence of the extent of coupling on the average molecular weights, chain lengths, and polymolecularity. By implementation of the Mark–Houwink–Sakurada equation, a correlation between intrinsic viscosity and the progress of coupling reaction is shown.     

Deconvolution of Molecular Weight Distributions Using Dynamic Flory‐Schulz Distributions

Summary: The deconvolution of molecular weight distributions (MWDs) may be useful for obtaining information about the polymerization kinetics and properties of catalytic systems. However, deconvolution techniques are normally based on steady‐state assumptions and very little has been reported about the use of non‐stationary approaches for the deconvolution of MWDs. In spite of this, polymerization reactions are often performed in batch or semi‐batch modes. For this reason, dynamic solutions are proposed here for simple kinetic models and are then used for deconvolution of actual MWD data. Deconvolution results obtained with dynamic models are compared to deconvolution results obtained with the standard stationary Flory‐Schulz distributions. For coordination polymerizations, results show that dynamic MWD models are able to describe experimental data with fewer catalytic sites, which indicates that the proper interpretation of the reaction dynamics may be of fundamental importance for kinetic characterization. On the other hand, reaction dynamics induced by modification of chain transfer agent concentration seem to play a minor role in the shape of the MWD in free‐radical polymerizations.

This Figure illustrates that MWDs obtained at unsteady conditions should not be deconvoluted with standard steady‐state Flory‐Schulz distributions.     

Manipulation of Molecular Weight Distribution Shape as a New Strategy to Control Processing Parameters

Molecular weight and dispersity (Ð ) influence physical and rheological properties of polymers, which are of significant importance in polymer processing technologies. However, these parameters provide only partial information about the precise composition of polymers, which is reflected by the shape and symmetry of molecular weight distribution (MWD). In this work, the effect of MWD symmetry on thermal and rheological properties of polymers with identical molecular weights and Ð is demonstrated. Remarkably, when the MWD is skewed to higher molecular weight, a higher glass transition temperature (T _g), increased stiffness, increased thermal stability, and higher apparent viscosities are observed. These observed differences are attributed to the chain length composition of the polymers, easily controlled by the synthetic strategy. This work demonstrates a versatile approach to engineer the properties of polymers using controlled synthesis to skew the shape of MWD.     

用GPC研究壳聚糖氧化降解过程中的分子量及其分布

用凝胶渗透色谱法跟踪研究了过氧化氢对壳聚糖氧化降解过程中壳聚糖的分子量及其分布的影响,结果表明,反应温度、时间和过氧化氢用量对壳聚糖的降解程度及降解产品质量均有影响。     

Application of near infrared spectroscopy (NIR), X-ray fluorescence (XRF) and chemometrics to the differentiation of marmora samples from the Mediterranean basin

Abstract

Near-infrared (NIR) and X-ray fluorescence spectra were recorded for 15 different samples of marmora, from the Mediterranean Basin and of different colours. After appropriate pretreatment (SNV transform + second derivative), the results were subjected to principal component analysis (PCA) treatment with a view to differentiating them. The observed differences among the samples were chemically interpreted by highlighting the NIR wavelengths and minerals, respectively, contributing the most to the PCA models. Moreover, a mid-level data fusion protocol allowed integrating the information from the different techniques and, in particular, to correctly identify (based on the distance in the score space) three test samples of known type. Moreover, it should be stressed that positive results on the differentiation and identification of marmora were obtained using two completely non-invasive, non-destructive and relatively inexpensive techniques, which can also be used in situ.     

In Line Monitoring of VAc-BuA Emulsion Polymerization Reaction in a Continuous Pulsed Sieve Plate Reactor using NIR Spectroscopy

Summary: This work deals with the in line and in situ monitoring of the changes in residual monomer concentrations and polymer particle size in the process of emulsion copolymerization of vinyl acetate (VAc) and butyl acrylate (BuA) over the sections of a novel tubular reactor (pulsed sieve plate continuous reactor, PSPC) using NIR spectroscopy. Off-line measurements (gas chromatographic, gravimetric and dynamic light scattering) were used as reference for the development of the multivariate PLS calibration model. All NIR spectra were on-line collected with an IFS 28/N Bruker spectrometer using a probe (transflectance mode) immersed into the reaction medium. The calibration model and validation data were analyzed using the OPUS/QUANT software. The results indicated that there exists a good agreement between values from the NIR calibration models and the off-line reference measured experimental data. Moreover, the on-line NIR can detect efficiently the occurrence of disturbances during the polymerization reaction, a useful tool for the improving the process safety.     

基于平行因子分析法提高近红外无创血糖校正模型稳健性的研究

采用近红外光谱进行无创血糖检测时, 样品背景变动造成的预测集样本与校正集样本量测体系不一致的问题是导致预测精度低的原因之一. 提出一种将母体背景作为变量引入回归建模中, 结合各个母体背景下的样本光谱信息构建三维光谱矩阵以提高校正模型稳健性的分析方法. 将平行因子分析(PARAFAC)与多元线性回归(MLR)相结合, 对人体三层皮肤模型的蒙特卡罗模拟实验和葡萄糖水溶液及其混合物的离体实验进行了验证. 实验结果表明, 与传统的单一母体背景所建立的偏最小二乘模型相比, 将母体背景作为建模元素采用PARAFAC-MLR法所建立的校正模型具有更好的预测能力和稳健性.     

超高分子量聚乙烯纤维牵伸温度研究

超高分子量聚乙烯纤维只有经过多级牵伸,才能成为高强度、高模量的高性能纤维。在牵伸工艺中涉及到牵伸温度及牵伸倍率两个工艺参数。本文从牵伸温度角度出发,采用多级牵伸得到了高性能聚乙烯纤维,利用强伸仪、DSC等表征手段,系统地研究了各级牵伸温度对超高分子量聚乙烯纤维性能影响规律,探索最佳牵伸温度组合。本项研究表明,牵伸温度直接影响最大牵伸倍率,最终影响到纤维的力学性能,采用三级牵伸可以使纤维力学性能达到较高水平,最佳温度组合为137.5℃—147.3℃—147.3℃,纤维强度32cN.dtex-1。     

不同聚合度聚乙二醇对A30碳钢的缓蚀性能

通过开路电位测量法、动电位极化曲线法和电化学阻抗谱法研究了表面活性剂聚乙二醇对A30碳钢的缓蚀作用,初步推测了其缓蚀机理．分别选取聚合度为600、2000、4000、6000的四种聚乙二醇进行实验,结果表明,聚乙二醇对碳钢的最高缓蚀率接近90％．聚乙二醇分子量对缓蚀作用有明显影响,相同浓度时聚合度越大,缓蚀性能越强．三种方法得到的结果具有同一性．