A large optics martin-puplett interferometer for spectroscopy to below 1.5 cm−1

The construction of an interferometer for the study of solids by Fourier transform spectroscopy to wave numbers below 1.5 cm^–1 is described. It is based on a polarising wire grid configuration and has better performance than more typical instruments used for such spectroscopy.     

Quantitative millimetre wavelength spectrometry at pressures approaching atmospheric: II. Determination of oxygen at atmospheric pressure

A millimetre wavelength (MMW) Fabry-Perot cavity spectrometer described in earlier work has been applied to the measurement of oxygen absorption at 60 GHz and atmospheric pressure in a gas matrix of nitrogen. The spectrometer has also been modified such that the MMW source is stabilised by a sub-harmonic microwave signal transmitted by an infrared carrier on a single mode telecommunications fibre optic. This is a step towards developing an instrument comprising minimal electronic components that can perform MMW spectrometry remotely. Oxygen determinations were achieved by monitoring the change in the quality factor (Q) of a resonant Fabry-Perot cavity due to the presence of an absorbing sample. The MMW absorption of the sample was determined by incrementing the frequency modulation (FM) deviation of the source frequency scanning the cavity resonance profile. The response curve of absorption signal versus fraction of oxygen in nitrogen was found to be linear throughout the working range of 1-100% O₂ (v/v) in N₂ with a slope of (1.407±0.007)×10⁻⁴ m⁻¹ (% O₂)⁻¹. The detection limit (3× standard deviation of the background) was found to be ∼0.8% (v/v). The MMW technique employed is advantageous since, unlike common MMW techniques, there is no vacuum requirement. Application of this method, to the monitoring of oxygen in gas mixtures of practical importance, is proposed. Values of the oxygen spectral absorption coefficients of lines between 55 and 60 GHz were measured at reduced pressure and found to be within ±2% of previous literature values. A pressure correction coefficient for O₂ absorption at 60 GHz in the 45-121 kPa range was obtained and found to be (1.354±0.014)×10⁻⁴ m⁻¹ kPa⁻¹.     

Quantitative millimetre wavelength spectrometry at pressures approaching atmospheric: Part I. Absolute determination of transition line strengths and sample concentrations with a confocal Fabry-Perot cavity spectrometer

The absolute determination of the millimetre wave power absorption coefficient of gas samples in a Fabry-Perot cavity whose resonant frequency is synchronised to a millimetre wavelength source is described. A theoretical treatment valid for pressures >200 Pa is developed. Absolute absorption coefficient measurements have been made on lines of SO₂ in the 50-60 GHz region that compared favourably with literature values. A calibration curve for SO₂ using the 59224.84 MHz line at 667 Pa over the concentration range 1-100% in N₂ has been produced. This technique could be especially useful for remote monitoring and process control applications because it is not necessary to scan the spectral line in order to determine the concentration of a species. The source runs at a single frequency coinciding with the peak of a millimetre wavelength (MMW) absorption line. This means that the technique could operate effectively at pressures up to and above atmospheric without the need for sophisticated MMW sources that can sweep across a wide frequency band.     

Thermal diffusivity of polycaprolactone/poly(bisphenol A carbonate) blends by flash radiometry

This article presents thermal diffusivity (D) measurement by flash radiometry for the polymer blend of polycaprolactone (PCL) and poly(bisphenol A carbonate) (PC) with a lower critical solution temperature (LCST) phase diagram. The dependence of D on temperature is significantly changed by annealing above the cloud point. D is largely increased by the growth of PCL crystallite in the blends. In the miscible state, D is smaller than that predicted by the rule of mixtures, whereas the dependence of D on the weight fraction of PC for the immiscible (phase‐separated) state is well expressed by the rule of mixtures. © 1999 John Wiley & Sons, Inc. J Polym Sci B: Polym Phys 37: 745–749, 1999     

刺五加注射液近红外含量预测模型谱段选择规律和消除溶剂干扰方法的探讨

目前中药制剂生产过程中缺乏全过程参数检测和质量控制技术手段,不同生产批次药品化学成分差异较大、质量不够稳定、临床使用疗效和安全性不理想,因此,建立其完善的质量评价体系及其准确快速的质量评价方法,成为中药质量控制的重中之重.通过对刺五加注射液近红外(near infrared,NIR)含量预测模型的谱段选择规律和消除溶剂干扰方法的探讨,发现采用表征混合物结构差异的结构相关谱段结合含量相关谱段作为NIR组分预测模型谱段,用基于水为参比光谱的样本光谱建立含量预测模型,并利用水作为参比光谱识别和提取待分析组分的光谱信息,可以得到较理想的NIR含量预测结果.通过对刺五加注射液中绿原酸、紫丁香苷和刺五加苷E组分的近红外光谱结构相关谱段和含量相关谱段的归属,分别建立了绿原酸、紫丁香苷和刺五加苷E组分的含量预测模型,可用于快速分析刺五加注射液中不同组分的含量.     

Genetic algorithm‐based wavelength selection method for spectral calibration

In this paper, we propose a genetic algorithm‐based wavelength selection (GAWLS) method for visible and near‐infrared (Vis/NIR) spectral calibration. The objective of GAWLS is to construct robust and predictive regression models by selecting informative wavelength regions. To demonstrate the ability of the proposed method, regression models for soil properties and sugar content of apples are constructed by using GAWLS and other variable selection methods. Copyright © 2010 John Wiley & Sons, Ltd.     

Active wavelength selection for mixture identification with tunable mid-infrared detectors

This article presents a wavelength selection framework for mixture identification problems. In contrast with multivariate calibration, where the mixture constituents are known and the goal is to estimate their concentration, in mixture identification the goal is to determine which of a large number of chemicals is present. Due to the combinatorial nature of this problem, traditional wavelength selection algorithms are unsuitable because the optimal set of wavelengths is mixture dependent. To address this issue, our framework interleaves wavelength selection with the sensing process, such that each subsequent wavelength is determined on-the-fly based on previous measurements. To avoid early convergence, our approach starts with an exploratory criterion that samples the spectrum broadly, then switches to an exploitative criterion that selects increasingly more relevant wavelengths as the solution approaches the true constituents of the mixture. We compare this “active” wavelength selection algorithm against a state-of-the-art passive algorithm (successive projection algorithm), both experimentally using a tunable spectrometer and in simulation using a large spectral library of chemicals. Our results show that our active method can converge to the true solution more frequently and with fewer measurements than the passive algorithm. The active method also leads to more compact solutions with fewer false positives.     

Use of indirect multivariate calibration for quality control of agricultural products by near infrared spectroscopy

In the near infrared (NIR) region, (=800–2500 nm) of the spectrum, most organic molecules have weak but reproducibly measurable absorption bands. This phenomenon has been increasingly exploited for the rapid, quantitative analysis of major constituents of agricultural products. As there is strong spectral overlap and an interaction of constituents in NIR, the calibration of instrumentation has to be performed indirectly with a training set of samples applying multivariate methods. A software package for IBM compatible personal computers includes programs to select samples to be used for calibration, to compute multiple linear regression equations, to cross-validate regression equations and to detect unusual samples. These methods are applied to rapidly determine the oil content of over a thousand rapeseed samples of the harvest of 1986. A considerable saving of time, labour, and costs can be achieved, the agreement with the standard laboratory method is very satisfactory.     

Determination of effective wavelengths for discrimination of fruit vinegars using near infrared spectroscopy and multivariate analysis

Near infrared (NIR) spectroscopy based on effective wavelengths (EWs) and chemometrics was proposed to discriminate the varieties of fruit vinegars including aloe, apple, lemon and peach vinegars. One hundred eighty samples (45 for each variety) were selected randomly for the calibration set, and 60 samples (15 for each variety) for the validation set, whereas 24 samples (6 for each variety) for the independent set. Partial least squares discriminant analysis (PLS-DA) and least squares-support vector machine (LS-SVM) were implemented for calibration models. Different input data matrices of LS-SVM were determined by latent variables (LVs) selected by explained variance, and EWs selected by x-loading weights, regression coefficients, modeling power and independent component analysis (ICA). Then the LS-SVM models were developed with a grid search technique and RBF kernel function. All LS-SVM models outperformed PLS-DA model, and the optimal LS-SVM model was achieved with EWs (4021, 4058, 4264, 4400, 4853, 5070 and 5273 cm⁻¹) selected by regression coefficients. The determination coefficient (R²), RMSEP and total recognition ratio with cutoff value ±0.1 in validation set were 1.000, 0.025 and 100%, respectively. The overall results indicted that the regression coefficients was an effective way for the selection of effective wavelengths. NIR spectroscopy combined with LS-SVM models had the capability to discriminate the varieties of fruit vinegars with high accuracy.     

A wavelength selection method based on random decision particle swarm optimization with attractor for near‐infrared spectral quantitative analysis

In this paper, we proposed a wavelength selection method based on random decision particle swarm optimization with attractor for near‐infrared (NIR) spectra quantitative analysis. The proposed method was incorporated with partial least square (PLS) to construct a prediction model. The proposed method chooses the current own optimal or the current global optimal to calculate the attractor. Then the particle updates its flight velocity by the attractor, and the particle state is updated by the random decision with the new velocity. Moreover, the root‐mean‐square error of cross‐validation is adopted as the fitness function for the proposed method. In order to demonstrate the usefulness of the proposed method, PLS with all wavelengths, uninformative variable elimination by PLS, elastic net, genetic algorithm combined with PLS, the discrete particle swarm optimization combined with PLS, the modified particle swarm optimization combined with PLS, the neighboring particle swarm optimization combined with PLS, and the proposed method are used for building the components quantitative analysis models of NIR spectral datasets, and the effectiveness of these models is compared. Two application studies are presented, which involve NIR data obtained from an experiment of meat content determination using NIR and a combustion procedure. Results verify that the proposed method has higher predictive ability for NIR spectral data and the number of selected wavelengths is less. The proposed method has faster convergence speed and could overcome the premature convergence problem. Furthermore, although improving the prediction precision may sacrifice the model complexity under a certain extent, the proposed method is overfitted slightly. Copyright © 2015 John Wiley & Sons, Ltd.     

A benzophenone‐naphthalimide derivative as versatile photoinitiator of polymerization under near UV and visible lights

A benzophenone‐naphthalimide derivative (BPND) bearing tertiary amine groups has been developed as a high‐performance photoinitiator in combination with 2,4,6‐tris(trichloromethyl)‐1,3,5‐triazine or an iodonium salt for both the free radical polymerization (FRP) of acrylates and the cationic polymerization (CP) of epoxides upon exposure to near UV and visible LEDs (385–470 nm). BPND can even produce radicals without any added hydrogen donor. The photochemical mechanisms are studied by molecular orbital calculations, steady state photolysis, electron spin resonance spin trapping, fluorescence, cyclic voltammetry and laser flash photolysis techniques. These novel BPND based photoinitiating systems exhibit an efficiency higher than that of the well‐known camphorquinone‐based systems (FRP and CP) or comparable to that of bis(2,4,6‐trimethylbenzoyl)‐phenylphosphineoxide (FRP at λ ≤ 455 nm). © 2014 Wiley Periodicals, Inc. J. Polym. Sci., Part A: Polym. Chem. 2015 , 53, 445–451     

Variable selection in visible/near infrared spectra for linear and nonlinear calibrations: A case study to determine soluble solids content of beer

Three effective wavelength (EW) selection methods combined with visible/near infrared (Vis/NIR) spectroscopy were investigated to determine the soluble solids content (SSC) of beer, including successive projections algorithm (SPA), regression coefficient analysis (RCA) and independent component analysis (ICA). A total of 360 samples were prepared for the calibration (n = 180), validation (n = 90) and prediction (n = 90) sets. The performance of different preprocessing was compared. Three calibrations using EWs selected by SPA, RCA and ICA were developed, including linear regression of partial least squares analysis (PLS) and multiple linear regression (MLR), and nonlinear regression of least squares-support vector machine (LS-SVM). Ten EWs selected by SPA achieved the optimal linear SPA-MLR model compared with SPA-PLS, RCA-MLR, RCA-PLS, ICA-MLR and ICA-PLS. The correlation coefficient (r) and root mean square error of prediction (RMSEP) by SPA-MLR were 0.9762 and 0.1808, respectively. Moreover, the newly proposed SPA-LS-SVM model obtained almost the same excellent performance with RCA-LS-SVM and ICA-LS-SVM models, and the r value and RMSEP were 0.9818 and 0.1628, respectively. The nonlinear model SPA-LS-SVM outperformed SPA-MLR model. The overall results indicated that SPA was a powerful way for the selection of EWs, and Vis/NIR spectroscopy incorporated to SPA-LS-SVM was successful for the accurate determination of SSC of beer.     

A new low noise detector for Ft-Raman

A germanium photodiode has been used to record FT-Raman spectra excited by an NdYag laser at 1.06m. Since photon noise appears much smaller than detector noise, reduced detector noise leads directly to improved spectral signal-to-noise ratio. A new InGaAs photodiode with about seven times lower noise equivalent power indeed improves the spectrum signal-to-noise ratio by a factor of seven. When compared with a particularly sensitive Ge photodiode prepared by the North Coast Detector Corp. the InGaAs detector appears to have about the same noise level, but with a higher electrical bandwith, which is needed in FT-Raman, and the absence of so-called cosmic ray spikes.     

A quinoxaline derivative as a long wavelength photosensitizer for diaryliodonium salts

This article reports the use of a quinoxaline derivative as a photosensitizer for diaryliodonium salt photoinitiators. 2,3‐bis(3,4‐bis(decyloxy)phenyl)‐5,8‐bis(2,3‐dihydrothieno[3,4‐b][1,4]dioxin‐5‐yl)quinoxaline (DOPEQ), is a highly conjugated compound with strong absorption bands at wavelengths ranging from 300 to 550 nm and is shown to facilitate photoinitiated cationic polymerization of heterocyclic monomers such as oxiranes and oxetanes. The polymerizations are initiated at room temperature by using long wavelength UV light in the presence of diphenyliodonium hexafluorophosphate (Ph₂I⁺PF). The polymerizations are monitored by optical pyrometry (OP). It is also possible to initiate photopolymerizations with ambient solar irradiation in the presence of this photosensitizer dye. © 2009 Wiley Periodicals, Inc. J Polym Sci Part A: Polym Chem 48: 209–213, 2010     

基于SRXRF和XANES研究Pb对玉米种子萌芽的影响及其分布和形态特征

以受不同浓度Pb胁迫下的玉米种子萌芽试验为基础,结合SRXRF研究Pb对玉米种子萌芽的影响和Pb在玉米种子的微区分布特征,利用X射线吸收近边结构技术(XANES)对萌芽玉米种子不同部位中Pb的化学形态进行分析,藉以了解种子对Pb的吸收和转化规律。结果表明,玉米种子的发芽率、根芽伸长量随培养溶液中Pb(NO3)2浓度增加而降低。种子发芽率、平均芽长、平均根长与暴露Pb浓度间的方差分析P-value分别为2.0×10!3,1.4×10!4和2.39×10!8,均小于0.01,为极显著差异,说明Pb胁迫对种子萌芽和根芽生长造成了极显著影响,且对根长抑制作用更大。SRXRF分析结果表明,种皮和胚结构是玉米种子富集Pb的主要部位,Pb富集在胚结构中将抑制种子萌芽。各种子样品的Pb-LⅢ(13035 eV)边XANES谱图相同,为同一种Pb形态,拟合结果显示其含74.3%的氯化磷酸铅和24.2%硬脂酸铅,说明Pb主要以氯化磷酸铅的形式沉积于玉米体内,并有少部分以与羧基结合的有机铅形式存在。     

Low band‐gap diketopyrrolopyrrole‐containing polymers for near infrared electrochromic and photovoltaic applications

Donor–acceptor type polymers bearing diketopyrrolopyrrole and 3,4‐ethylenedioxythiophene units are reported. The polymers are green and exhibit very low band‐gaps (1.19 eV) with strong and broad absorption (maxima of about 830 nm) in the near infrared (NIR) region in their neutral film states. The polymers display color changes between dark green and light blue with exceptional optical contrasts in the NIR regions of up to 78 and 63% as thin films and single‐layer electrochromic devices, respectively. Fast switching, good stabilities as well as high coloration efficiencies (743–901 cm² C^?1) were also observed. The polymers could also be potentially used as photovoltaic material, with a power conversion efficiency of up to 1.68%. © 2015 Wiley Periodicals, Inc. J. Polym. Sci., Part A: Polym. Chem. 2015 , 53, 1287–1295     

A rapid and simple approach for glycoform analysis

Fast glycoform analysis is important for quality control of glycoproteins that account for over 40% of the approved biopharmaceuticals. Herein, we realized an Au nanoparticle-based lectin affinity chromatography (LAC) using simple standard laboratory equipment for fast glycoform analysis. Pisum sativum agglutinin (PA), a lectin derived from P. sativum, was covalently conjugated to Au nanoparticles via naturally formed carboxylic groups onto the surface of Au nanoparticles and amino groups of PA. Each model glycoprotein was separated into several fractions including the unbound, weakly bound, modestly bound, and strongly bound glycoforms based on affinity strength of the glycoform toward PA. A single run of Au nanoparticle-based LAC was finished within 18 min, which could be further decreased by centrifuging the mixture of the PA functionalized Au nanoparticles and the glycoproteins at a higher speed. To our knowledge, we are the first to use Au nanoparticles as LAC matrix.     

A non-fluorinated monobenzocyclooctyne for rapid copper-free click reactions

We designed and synthesised carboxymethylmonobenzocyclooctyne (COMBO) through a four-step reaction pathway. COMBO is a new, structurally simple, non-fluorinated, and directly conjugable copper-free click reagent, which shows excellent reaction kinetics, as also evidenced by theoretical calculations. Additionally, the carboxylic acid appendage allows further conjugation to biomolecules or fluorescent labels. The utility of COMBO in bioorthogonal labelling schemes was demonstrated when a COMBO-containing fluorescent label was employed in glycan imaging of HeLa cells (metabolically modified to have azidosialic acid residues on their cell-surface glycans).     

Curcumin: A naturally occurring long‐wavelength photosensitizer for diaryliodonium salts

Curcumin, a naturally occurring, intensely yellow dye extracted from the spice turmeric, is an efficient photosensitizer for diaryliodonium salt photoinitiators at wavelengths ranging from 340 to 535 nm. With curcumin as a photosensitizer, it is possible to carry out the cationic photopolymerization of a wide variety of epoxide, oxetane, and vinyl monomers with long‐wavelength UV and visible light. An example of the photopolymerization of an epoxide monomer with ambient solar irradiation is provided. Several other curcumin analogues were synthesized, and their use as photosensitizers is examined. With such photosensitizers, the range of spectral sensitivity can be extended well into the visible region of the electromagnetic spectrum. © 2005 Wiley Periodicals, Inc. J Polym Sci Part A: Polym Chem 43: 5217–5231, 2005