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Divertor impurity injection on Tokamak is the most important means to achieve divertor impurity screening efficiency. In this paper, a fast-response extreme-ultraviolet (EUV) spectrometer is used to monitor the Ar emission lines during the EAST(Experimental Advanced Superconducting Tokamak)divertor Ar injection experiment. Based on the NIST(National Institute of Standards and Technology)atomic spectrum database, the emission lines from different ionized Ar ions in 2～50 nm wavelength range, e.g. Ar Ⅳ, Ar Ⅳ-Ⅺ and Ar ⅩⅣ-ⅩⅥ, are being identified. Ar ⅩⅥ 35.39 nm and Ar Ⅳ 44.22 nm with the ionization energy of 918.4 and 59.6 eV respectively are being monitored during the experiment with Ar puffing to observe the behavior of Ar impurities in different regions in plasmasimultaneously. The preliminary analysis on divertor impurity screening efficiency is carried outwith the time evolution of intensities of two Ar emission lines. The results of experiment puffing from the same gas puffing inlet (e. g. from lower outer target inlet) and withdifferent plasma configurations (e. g. lower single null, upper single null) show that the screening effect on the impurity injected from the divertor region is better thanfrom the main plasma region; the screening effect of lower divertor and particle pumping by internal cryopump installed in lower divertor is stronger than upper divertor.

Using pepper fruit of Hainan as raw material and 95% ethanol as solvent, the alkaloid in pepper is extracted with reflux method in this paper. The piperonylic acid is removed by adjusting the pH; the fat-soluble substance being removed by adding ethyl ether; the piperine alkaloid being purified with acetone by recrystallization anddetected with HPLC, as well as characterized with IR. The characterizations of piperine are discussed. Meanwhile, B3LYP/6-31G (d,p) method of DFT is applied to optimize the structure, calculate frequency and energy of pepper alkaloid, then obtain four kinds of configurations (configuration Ⅰ as Piperine, configuration Ⅱ as Iso Piperine, configuration Ⅲ as Iso Chavicine, configuration Ⅳ as Chavicine) with 64 kinds of stability conformational structure. The distribution of the thermodynamic equilibrium of stable conformations of four kinds of configurations of the molecular is calculated with Gibbs free energy at room temperature (298.15 K). And IR spectra of the experimental were compared with the IR spectra of the theoretical. The results show that the alkaloid extracted from pepper is mainly conformer 1 in configuration Ⅰ, that is, Piperine; after purifying, the content of piperine is 7% with the purity of 99%. With analysis, the methods of extraction, separation and purification of piperine in this paper achieve good results. Established models are in good agreement with the experimental results. This research is of great significance in guiding extracting process, building structural model and the characterization and application of piperine.

Infrared spectral analysis is a commonly used means to research the characteristics of mineral material. Attenuated total internal reflectance infrared spectroscopy (ATR -FTIR) is widely used dues to its advantages such as rapidness, non-destructiveness and micro region detection. This paper focuses on different areas of amber, copal resin, coated amber to further study its ATR-FTIR through the BRUKER LUMOS independent type infrared microscope. The result shows: the two infrared absorption spectrum which are 1 643 cm-1 due to stretching vibration of ν(CC) and 889 cm-1 due to deformation vibration of δ(arene C—H)are present in the amber originated in Dominica and Russia; the infrared absorption spectrum band lies at 1 300～925 cm-1 due to stretching vibration of ν(C—O) has a certain instruction significance for the origin of amber; the three absorption spectrum of 3 080 cm-1 which is due to dis-symmetry stretching vibration of νas(CH2), 1 643 and 887 cm-1 can be used as characteristic of copal resin and have identification significance; coated amber displays amber and artificial resin mixing infrared spectrum, which besides the characteristic infrared spectrum of amber, 760 and 702 cm-1 infrared spectrum are caused by out-plane bending vibration of γ(arene C—H) of resin. ATR-FTIR has important significance in the identification of cause, origin and enhancement varieties of amber.

In this paper, Au nanosphere and Au-Ag alloy nanourchin were prepared by reducing the chloroauric acid. The mixed colloid solutions of Au nanosphere and Au-Ag alloy nanourchin were used as surface-enhanced Raman scattering (SERS) substrate to detect polycyclic aromatic hydrocarbons (PAHs) in aqueous solution. The size of Au-Ag alloy nanourchin particle was about 300~400 nm and the thorn-like bulge covered on it was about 40~100 nm. The mixed colloid solutions of Au nanosphere and Au-Ag alloy nanourchin which were optimized pH values and other parameters presented a better enhancement than Au nanosphere. The enhancement effect was about three times that of Au nanosphere colloid solution. Three kinds of high molecular weight PAHs, pyrene(4 rings), benzoanthracene(4 rings) and benzo[a]pyrene(5 rings), were detected. The results showed that there were good linear relationships between Raman intensity and concentration in the low concentration range and the mixed SERS substrate had a good reproducibility and stability. Their limits of detection (LODs) were 0.44, 2.92 and 1.64 nmol·L-1, respectively. The innovation of this paper was that the mixed colloid solutions of Au nanosphere and Au-Ag alloy nanourchin are prepared as SERS substrate and the trace-level high molecular weight PAHs are detected. The results show that the detection of trace-level high molecular weight PAHs in aqueous can be realized using the mixed SERS substrate prepared in this study, which proposed an in-situ method for detecting the high molecular weight PAHs in aqueous.

The shellfish has been extensively applied as a proxy for marine ecosystem monitoring, and the climate evolution or the shell growth might be derived from the elementary spatial distribution when using calcium (Ca) as the internal reference. Differed from other technique, the calcium emission lines are spread all over the wavelength range when applying Micro-probe Laser Induced Breakdown Spectroscopy (Micro-LIBS) to analyze the shell. So it is crucial to select a suitable calcium line for the shell elementary analysis. In this paper, the scallop shell composition was analyzed by comparing calcium internal references of total-line, atomic line (Ca Ⅰ 422.7 nm/Ca Ⅰ 487.9 nm) and ionic line (Ca Ⅱ 393.3 nm). It was found that, the fluctuation of Sr/Ca ratio was less than 7% and 10% in the investigated area when using total-line and strongest atomic line (Ca Ⅰ 422.7 nm) as the reference respectively, which was in agreement with the shell growth development. What’s more, the obtained results indicated that the element ratio Li/Ca had a high correlation to K/Ca and Na/Ca rather than Mn/Ca, so the light elements might be accumulated in a same pattern during the shell growth development. It was suggested that Micro-LIBS was a practical way for the seashell investigation, and a better elementary analysis could be achieved by using the internal reference of calcium total-line or the strong atomic line, while not in case of calcium ionic line.

Formalin solution has been widely used to solidify the organization of articular cartilage and prevent tissue decomposition in long-time measurement. However, it was rarely investigated that the structural anisotropy changes of collagen fiber (fixation) of articular cartilage when it was immersed in formalin. In this paper, Fourier transform infrared spectroscopic imaging with polarization technique was used to investigate the anisotropic structure change of collagen fiber of articular cartilage fixed in formalin through the absorbance change of Amide I and Amide II with immersing time and polarization direction. The degree of anisotropy of collagen fiber in cartilage was characterized with fitting related coefficient of absorbance. The anisotropy of Amide I and Amide II became stronger with immersing extension of articular cartilage in formalin, and the amide I showed more remarkable anisotropy. It was concluded that the formalin solution induced new crosslinks of collagen, which gradually strengthened the collagen fiber anisotropy and was helpful for the structural analysis of the articular cartilage. The study will be significant for the preparation, preservation and anisotropy research of cartilage specimen.

Prompt gamma neutron activation analysis (PGNAA) technology is used in heavy metals measurement. It is found that the detection accuracy of lead (Pb) is impacted heavily by mercury (Hg), because of thermal neutron cross section of mercury is much bigger than lead. In this paper, a new combined detection method was proposed to improve the lead measurement accuracy in situ environmental water rejects analysis by PGNAA-XRF. Thus, a combined measurement facility was developed to analyze the mercury and lead in water simultaneously. The geometry of set-up is determined by a series of simulations with the MCNP code to improve the detection efficiency of the prompt gamma-ray intensity (Iγ) and characteristic X-ray fluorescence intensity (IX) of element. The ideal sample height and cavity are 33 and 16 cm, respectively. The influence of the relationship between Iγ, IX and different concentration (ｃi) of Hg and Pb was researched by MCNP calculations, respectively. The simulation results showed that there were good linear relationships between Iγ, IX and ｃi, respectively. The empirical formula of combined detection method was proposed based on the above calculations. The limits of detection for Hg and Pb with the combined measurement instrument were 3.89 and 4.80 mg·kg-1, respectively. It is a significant increase in performance of the mercury and lead detection simultaneously.

Restrictive relationship exists between spectral resolution, spectral range and number of pixels of traditional Spatial Heterodyne Spectroscopy (SHS). The main difference between Asymmetric Spatial Heterodyne Spectroscopy (ASHS) and SHS accelerates the space of one grating from the beamsplitter. It greatly increases spectral resolution while system parameters remain unchanged. First of all, this paper elaborates the fundamentals of the ASHS, the derived formulas of the system parameters and theoretical relationship between grating offset and the spectral resolution increases. As an important parameter of the ASHS, offset is restricted by the pixel number of short double side interferogram and the spectral resolution requirements. According to the experimental breadboard parameters of laboratory, the selection principle and the results of the offset are presented. In the case of the same device parameters, two types of theoretical performance parameters are calculated. The simulation is carried out. The results show that two of them have the same spectral range, but the ASHS has a higher spectral resolution. The relationship between resolution and offset increased consistent with theoretical calculation. Finally the ASHS breadboard is calibrated with the monochromatic light scanning method. The derived spectral range and resolution are in good agreement with the theoretical value.

Three-dimensional video microscopy, Raman spectrometer and scanning electron microscopy-energy dispersive spectroscopy (SEM-EDS) were employed to analyze the pigments of various colors on a sample of bank bill issued in 1945. The results indicated that organic pigments including C. I. Pigment Red 146 and C. I. Pigment Red 53∶1, and inorganic pigments such as cinnabar, parareaglar, χ-phase of realgar, carbon black and Prussian blue were used in printing; the brown-black handwriting letters were speculated to be formed from the fading black-blue ink. Most areas of the bank bill were in one single color with one pigment, but two areas of orange-red seals were checked to be colored with cinnabar and two different phases of realgar, and the parareaglar, and χ-phase of realgar were found to be used as printing pigments firstly. This study shows that combining with three technologies above-mentioned is viable and it has great application potential in non-destructive identification of organic and inorganic pigments on paper-based cultural heritage.

A new type of fiber coupling Long-Path Differential Optical Absorption Spectroscopy System(LP-DOAS) based on schmidt - cassegrain telescope was introduced in detail in this paper and it was applied to the accurate measurement of the actual atmospheric HONO and NO2. This measuring system simplified the structure of traditional LP-DOAS system, combining with the design of optical fiber coupling.It made full use of the telescope primary mirror’s effective area. The effects of the offset, dark current and telescope stray light to the new LP-DOAS system were discussed in this paper; On a clear day, the ratio between telescope stray light and the optical intensities was less than 1%. To verify the accurate of the new LP-DOAS system, the atmospheric NO2 were simultaneously measured with the new LP-DOAS system and traditional LP-DOAS system. The correlation coefficient R2 was up to 0.968. The observation of atmospheric HONO was carried out by using the fiber coupling LP-DOAS in Gucheng, Hebei Province, China, and the detection limit (2σ) of HONO and NO2 was 84.2 and 144.6 ppt , respectively, with 2 490 m path length and the average time resolution of about 30 s. In the whole measurement in Gucheng, the maximum of HONO and NO2 were 3.2 and 37.8 ppb, respectively, and the minimum were both under the detection limits; the ratio of HONO/NO2 at night was calculated.

As the skeleton substances of lignocellulosic biomass cell wall and the precursor of biofuels production, the research on cellulose structure, an important natural biomarcromolecules, attracts great attention. Considering its in situ features and higher resolution, Raman spectroscopy has been used to investigate the structure of cellulose molecular chain and cellulose aggregation structure at multi-scale. In this paper, the configurations and corresponding parameters of two types of Raman spectroscopy (Dispersive Raman and FT-Raman) were compared. Subsequently, the utilization of Raman spectroscopy in cellulose micro-distribution, cellulose enzyme hydrolysis, cellulose chain orientation and deformation, cellulose crystallinity and polymorphic transformation was discussed in detail. Given the existing deficiencies of the Raman spectroscopy when used to investigate the natural cellulose, some suggestions were proposed in order to promote the application of Raman spectroscopy to the research of natural macromolecular.

The in situ biological process relays on a high performance attenuated total reflection (ATR) probe while ATR technique is a powerful tool for inline analysis. The basic principle and characteristic of the ATR technique was analyzed in this paper. A low cost and high throughout ATR probe was designed which can be inserted into the biological reactor directly with nondestructive and zero delay monitoring. It shows that the online ATR probe has a wide spectrum range, and the collected spectra has a high signal-to-noise ratio, which can be used in in-line quantitative analysis for biological process.

The paper uses MSR-16 portable multispectral radiometer made in the USA and computes the numbers of the test units by pulling the formula on the radiometer effective observation area, which solves the problem on the uncertain numbers of computing the times on region visible light band spectral radiation ratio M_D. The paper uses CI-310 portable photosynthesis measurement system made by American CID Company and measures the net photosynthetic rate of a group of soybean plant. M_D and C_D are normalized by the normalization method [0,1]. Then, the normalization data M_D1 and C_D1 are gained . Based on the different test time, M_D1 is divided of M_D11 and M_D12. C_D1 is divided of C_D11 and C_D12. The paper uses polynomial kernel function, gauss kernel function, sigmoid kernel function and bio-selfadaption kernel function constructed by us with Support Vector Machine. Penalty parameter c and parameter g separately are optimized with optimization algorithms such as grid-search，genetic algorithm and particle swarm optimization. Based on the formula epsilon-SVR and the formula nu-SVR with Support Vector Machine, the paper constructs the prediction model on the net photosynthetic rate of a group of soybean plant by using of the cross combination with four kernel functions, three optimization methods and two formulas. The test results are as follows: in the condition of S=17 m2 which is the test plan area of soybean plant and the H=2 m which is the high on MSR-16 portable multispectral radiometer above the canopy of soybean plant, the prediction accuracy is up to 85% on the No.1 prediction set C_D12 and the prediction accuracy is up to 82% on the No.2 prediction set C_D12 based on the model epsilon-SVR-bio-selfadaption-grid-search. In the condition of other combinations with S and H, the prediction accuracy is up to 81% on the No.2 prediction set C_D12 based on the model epsilon-SVR-bio-selfadaption-grid-search. The model epsilon-SVR-bio-selfadaption-grid-search indicates the validity of bio-selfadaption kernel functions which is constructed by our previous research with support vector machine. The model epsilon-SVR-bio-selfadaption-grid-search indicates the rationality of the measure method on visible spectral data in the test area. The model epsilon-SVR-bio-selfadaption-grid-search indicates the feasibility of the prediction method on net photosynthetic rate of soybean plant groups by using of visible spectrum.

As a novel technology in ultra-smooth surface machining, atmospheric pressure inductively coupled with plasma jet processing can produce plasma with high density and energy. This capability makes it a perfect medium in fully exciting the reactive gases to improve the material removal rate. This paper is directed towards using the emission spectrometer to monitor and measure the spectra of the plasma jet from 400~1 000 nm. Spectral lines with obvious peaks and large energy differences are selected from the measurement results to calculate the electron temperatures. The measured spectral data are the integrals of emission coefficients along the optical path, and the plasma has a circularly symmetry with respect to the torch axis. Abel inversion transform is employed to compute the emission coefficients of the measured spectrum. These coefficients are then applied to obtain the electron temperatures with Boltzmann plot method. The calculation results denote that the temperature profiles appear to be typically double-peak profiles as a result of the skin effect and swirling inlet flow. With the increasing of off distance, the double-peak effect decreases and the profiles become smooth. The results also indicate that the plasma fringe is somewhat deviate from the local thermodynamic equilibrium, and the applicability of Boltzmann plot method is reduced. Consequently the goodness-of-fit factors, R-Squared values, on the plasma fringe are reduced. The spectra and characteristics of the argon plasma with reactive gas CF4 are also analyzed. This mixed plasma shows bright blue-green color. The reason for the color is that some band spectra emerge between the range of 400~650 nm. These band spectra are the swan bands of diatomic C2 which is formed by the fully excitation of carbon source CF4.

Electromagnetic metasurface with many special electromagnetic properties can be utilized to manipulate electromagnetic wave propagation and reflection. If the metasurfaces were designed for coding, random, phase discontinuities, perfect absorber and so on，they can manipulate the scattering or the reflection of electromagnetic wave and achieve the reduction of the radar cross section(RCS). This paper mainly presents the recent progress concerning the reduction of RCS using non - directional scattering or the absorption characteristic in microwave and terahertz wave. The analysis results show that coding electromagnetic metasurface can disperse the reflection into a variety of direction by designing the specific coding sequences for different elements. The coding metasurface which are composed of different digital elements, and the reflection phase difference of these digital elements is constant in a wide frequency range, and higher bit coding metasurface can flexible manipulate electromagnetic wave. The random electromagnetic metasurface can achieve broadband phase shifter by adjusting the size parameters of array element, and can diffuse characteristic by scattering into random wave of the reflection peaks for metal target. Phase discontinuities metasurface can achieve anomalous or diffuse of wave because the phase distribution is not uniform at the surface. The absorber metasurfaces which are designed reasonably with the physical dimensions of the devices can reduce reflection by absorbing electromagnetic wave energy. So, the electromagnetic metasurfaces have a large potential application for radar stealth, broadband communications, imaging and so on. Finally, we discussed the future development of RCS reduction by using the electromagnetic metasurface. In order to satisfy the needs of practical application, the research of metasurface will continue development in broadband, flexible, large angle and other aspects.

Discriminating the maturity levels of tobacco leaf with in-situ measurement can effectively reduce loss rate and quality decline due to misjudgment of the maturity levels of tobacco leaf. In the meantime, the regular way we use to determine the maturity levels of tobacco, which is depend on tobacco leaf age and judgment of tobacco grower, lacks of objectivity. So this paper proposed a method to identify maturity levels of tobacco leaf by using spectral feature parameters combined with the method of support vector machine (SVM). In this paper, a total of 351 tobacco leaf samples collected in 5 maturity levels including immature (M1), unripe (M2), mature (M3), ripe (M4), and mellow (M5) determined by experts were scanned by field spectroscope(ASD FieldSpec3) with in-situ measurement for getting their reflectance spectrum. Through spectral analysis we found that the spectrum of tobacco leaf with different levels of maturity can be distinguished in visible band but not easily be distinguished in near-infrared band, so we use the tobacco leaf spectrum in visible band as the sensitive bands to analyze and model. To find the most suitable input variables for modeling, we use continuous spectrum (350~780 nm), feature band (496~719 nm) and spectral feature parameters (the reflectance of green peak, location of green peak, first order differential value of red-edge and blue-edge, red-edge and blue-edge area, location of red-edge and blue-edge) in visible region as the input variables, and using these three kinds of input variables in the method of SVM to establish a discriminant model for identifying maturity levels of tobacco leaf. The result shows that, the model using spectral feature parameters gains the accuracy rate of 98.85%. While the accuracy rates of other two models were 90.80% and 93.10%, respectively. The conclusion was drawn that using spectral feature parameters in visible spectrum as the input variables in SVM can improve the model performance. It is feasible to use this method to identify maturity level of tobacco leaf with in-situ measurement.

This paper presents a photoacoustic noninvasive setup of detecting blood glucose based on the tunable pulsed laser coupled with the confocal ultrasonic transducer and the forward detection model. To validate the reliability of the setup, in the experiments, the different concentrations of glucose aqueous solution are excitated by the Q-switched 532 nm pumped Nd∶YAG pulsed laser to generate the time-resolved photoacoustic signals. And the glucose aqueous solutions are scanned by the tunable pulsed laser in the infrared waveband from 1 300 to 2 300 nm with the interval of 10nm and the photoacoustic peak-to-peak values are gotten. The difference spectral method is used to get the characteristic wavelengths of glucose, and the principle component regression algorithm is used to determine three optimal wavelengths and establish the correction mathematical model between the photoacoustic peak-to-peak values and the concentrations. The experimental results demonstrate that the mechanism of the photoacoustic signal is agreement with the cylindrical model, and the predicted results of the correction and prediction samples based on the established correction model demonstrate that the root-mean-square error of correction and prediction are all less than 10 mg·dl-1, the correlation coefficient reaches 0.993 6.

Near-infrared reflectance spectroscopy (NIRS) is a simple, convenient and safe technology which is widely used in many industries. NIRS was employed to the rapid classification of coal in this study. The new method can be a replacement of the chemical analysis which is laborious and time consuming. Confidence machine was firstly applied to NIRS in this study which was used to evaluate the risk of the analysis. The near infrared reflectance spectrum of 199 coal samples including four types of coal (50 fat coal samples, 50 coking coal samples, 49 lean coal samples and 50 meager lean coal samples) from different mines in China were collected and classifiers based on the near infrared spectra of coal samples which were established by using machine learning methods to realize the rapid classification of coal samples. Confidence machine was introduced into the analysis technology based on NIRS in this paper. Confidence machine based on support vector machine (CM-SVM) was built and applied to the classification of coal samples via NIRS. Confidence machine is a probabilistic algorithm and instead of using hyper plane (SVM) to carry out the classification, using probability (CM-SVM) turned to be more effective which had 95.45% of the samples correctly grouped. Besides that, CM-SVM also estimated the confidence and credibility for each predicted sample. By setting different confidence levels, CM-SVM can perform region prediction whose error rate was predefined by the different confidence levels, which was very important for the control of product quality when NIRS was applied to the analysis of productions. Confidence machine is designed as an on-line learning method; new samples can be added to the training set one by one to improve the efficiency of the model and is very appropriate for industry on-line analysis. On-line CM-SVM models showed that the confidence of prediction would be raised as the samples increased, which was valuable for industry on-line analysis.

Soil organic matter (SOM) is an essential indicator for the fertility assessment of farmland. and An efficient and stable prediction model is in need to rapidly estimate SOM in larger scale. Spectroscopic technology has been proved as a powerful tool to access SOM in the last decade. The aims of this paper were: to compare different selection method of calibration set for modeling SOM in paddy soil by using visible-near infrared (VNIR), mid-infrared (MIR) and VNIR-MIR spectra and to assess the prediction ability of the results. All spectra were transformed from reflectance to absorbance, and preprocessed by Savitzky-Golay smoothing algorithm. The prediction models of SOM were built by using partial least squares regression (PLSR) coupled with three selection methods of calibration set in VNIR, MIR and VNIR-MIR regions. The selection method of calibration Rank-KS performed better than Rank method and KS method, meanwhile the models in MIR region showed stronger prediction ability than VNIR and VNIR-MIR regions. The best prediction model was obtained with the MIR model combined with Rank-KS, and the root mean square error of prediction (RMSEP) and ratio of performance to deviation (RPD) were 3.25 g·kg-1 and 4.24. According to variable in the projection (VIP) score, important bands for SOM prediction in paddy soil were identified in VNIR and MIR region. Our results show that MIR spectroscopy could make quantitative prediction of SOM in paddy soil and Rank-KS is an effective method for selection of calibration sets, so as to provide some scientific basis for fertility assessment of farmland and rational fertilization.

Photonic crystal fiber can generate particular dispersion properties and highly nonlinear, because of the special guiding mechanism and the adjustable structure parameters，which provides new conditions for the study of nonlinear fiber optics. There are rich nonlinear spectral properties produced by a variety of nonlinear physical effect, under different pump light pulse parameters in photonic crystal fibers with different structure and transmission properties. At present many papers have reported the experimental results of nonlinear optical properties in photonic crystal fiber, but there is little theoretical analysis about the produced mechanism and the change rule of the nonlinear spectrum. In the paper, solving nonlinear Schrodinger equation with split-step Fourier method, transmission process of femtosecond laser pulse in photonic crystal fiber is simulated. The relationship between the output spectrum and incident light pulse parameters (the peak power of pump light P, the wavelength of pump light λ, the shape of light pulse, the width of light pulse TFWHM), the structure parameters of optical fiber (the pitch Λ, the hole-to-pitch ratio d/Λ, the length of fiber), the transmission characteristics (the dispersion properties, the nonlinear coefficient) is obtained. The spectral characteristics produced by nonlinear effects of the Raman soliton, dispersive wave, self-phase modulation are analyzed. The nonlinear optical spectrum of cladding note in photonic crystal fiber is studied in experiments, the broadband spectrum of soliton wave and dispersive wave is obtained. There are blue-shift dispersive wave near the wavelength of 0.5 μm, residual pump light near the wavelength of 0.82 μm, soliton wave near the wavelength of 1.1 μm, red-shift broadband dispersion wave near the wavelength of 2 μm in the spectrum obtained both in theory and experiment. The numerical simulation is confirmed through experimental observation. The physics principle of the nonlinear spectrum in photonic crystal fiber is revealed. These are useful and practical to realize the controllable output of broadband spectrum. These provide guidance for the structure design, fabrication, applied research of high nonlinear photonic crystal fiber.

A fast and efficient way to synthesize a large number of silver nanowires was developed in this paper, in which the reaction conditions were optimized. Under the protection of Cu(NO3)2 silver nitrate was reduced by polyol with polyvinyl pyrrolidone (PVP) in existence. The silver nanowires with uniform structure and good dispersion were obtained. Surface enhancement activity of the silver nanowires was detected by using RhB as a probe molecule，its surface enhancement factor can reach 6.4×105. The results showed that the nanowires significantly enhance the Raman spectroscopy of RhB. The normal Raman spectroscopy (NRS), Raman spectroscopy of D-carnitine solution and Surface enhanced Raman Spectroscopy of D-carnitine by means of the new base were obtained. There are obvious Raman peaks at 3 100～2 800 and 1 700～200 cm-1, and the peak of 1 700～200 cm-1 in the surface enhanced Raman spectra of the D-carnitine can be obviously enhanced. The analysis showed that the angle between the molecular and silver nanoparticles were 180°. The vibrational peaks were assigned comprehensively. Compared with the NRS and SERS of D-carnitine, the detailed structural information of D-carnitine was obtained. In this paper, the surface enhanced Raman spectra of the D-carnitine absorbed on the synthesized silver nanoparticles were obtained, and the minimum detection concentration was 10-6 mol·L-1. The new method can be a rapid and characteristic way to detect D-carnitine, and it will also provide an important guidance for the studies on pharmacology of D-carnitine.

Grapes vaporize volatiles in specific compositions and concentrations during deterioration processes. Our previous study demonstrated that it is possible to analyze grapes spoilage stages by using the infrared spectra of their volatiles. However, only the spectral characteristics of alcohol, ethyl acetate and carbon dioxide were observed in the experiment because of the low concentration of the volatiles. In this paper, the sensitivity of the spectrometry system was enhanced by increasing the optical-path with multi-reflecting mirrors. We used the new spectrometry system to study the details of the infrared spectra of the volatiles from grapes during spoilage, and observed the spectral characteristics of several kinds of ethanol, esters, aldehyde and ethylene. The concentrations of some components in the volatiles changes with storage time, which can be a biomarker to represent the spoilage stages of grapes. Chemometrics were used to analyze the spectral bands of ethanol and esters, demonstrating there are obvious differences between fresh and decayed grapes. Furthermore, we developed a simplified E-nose system comprised by sensor array, based on the results of spectral analysis. The classification and discrimination of grape spoilage were tested with E-nose. This was a further study of the previous publication and had given a more precise observation of the infrared spectral characteristics of the volatiles from decayed grapes. This study provided a basis for developing real-time monitoring techniques of fruits deterioration.

As the polarization characteristics are the physical property determined by the material itself, its corresponding polarization image contains abundant target’s information. Using polarization information to identify the target is always a hot research topic in the field of the target detection. Active polarization imaging has more advantages compared with passive polarization imaging because of its high signal-to-noise ratio and good controllability. In this paper, based on the detailed analysis of the theory of the distribution of polarization Fresnel reflectance ratio, a kind of active polarization imaging method is proposed with detecting the polarization Fresnel ratio of the surface of the object. The proposed method adopts two kind of polarization light with orthogonal polarization direction at the light emission part to exposure to the target scenario alternately. Then two cameras side-by-side at the detecting part respectively equipped with two orthogonal polarization direction filters to capture the polarization images. Meanwhile, the detectors are placed in different detecting direction to acquire the polarization imaging with active polarization light source illuminating. Finally, with transmitting the data to the calculating center, optical constants can be recovered from the polarization data by the optimization fitting technique. Because the materials of target’s surface are different, the corresponding optical constants are different. Then the purpose of discriminating the targets with different materials is achieved. The simulated and actual measured experiments are explored to verify the effectiveness of the proposed method. Simulation experiment shows it is not only scientific but also more convenient and effective in that the proposed method can distinguish the different materials using the calculated optical constants. The actual measured data further shows that the method is able to do better in recover optical constants of targets, especially in the distinction between metal and dielectric materials. Furthermore, the system has great application prospect in the field of target detection and camouflage recognition with its simple structure and practicability.

The satellite thermal infrared image has been an important data source for the acquisition of the earth’s surface temperature. The thermal infrared sensor (TIRS) Landsat 8 satellite newly launched onboard has added valuable data for this mission. However, the calibration parameters for the two bands of the TIRS, i.e., TIRS Bands 10 and 11, had been modified several times since its launch. This finally led the United States Geological Survey (USGS) to reprocess all achieved Landsat 8 data starting from February 2014. In order to examine the calibration accuracy of the reprocessed TIRS data, this paper crossly compares Landsat 8 TIRS data with synchronized, well-calibrated Landsat 7 ETM+thermal infrared data. A total of three date-coincident image pairs of western United States, downloaded from USGS Earth Explorer website, were used for the cross comparison. Three test sites were selected respectively from the three image pairs for the comparison, which representing moderate vegetation-cover area (test site 1), low vegetation-cover area (test site 2), and bare soil area (test site 3). The thermal infrared data of the three image pairs of both sensors had been firstly converted to at-sensor temperature. A band-by-band comparison and a regression analysis were then carried out to investigate the relationship and difference between the two sensor thermal data. The results show a very high degree of agreement between the three compared Landsat 8 TIRS and Landsat 7 ETM+thermal infrared image pairs because the correlation coefficients between the retrieved at-sensor temperature of the two sensors are generally greater than 0.95. Nevertheless, the cross comparison also reveals differences between the thermal infrared data of the two sensors. Compared with retrieved at-sensor temperature of Landsat 7 ETM+Band 6, TIRS Band 10 shows an overestimation, which can be up to 1.37 K, whereas TIRS Band 11 underestimates the temperature, with a difference reaching to -3 K. This suggests that in spite of the reprocessing of Landsat 8 thermal infrared data, the calibration parameters for the satellite’s TIRS data are still unstable, especially for TIRS Band 11. It was found that the at-sensor temperature difference between ETM+Band 6 and TIRS Band 10 was enhanced with the decrease in vegetation coverage from test site 1 to test site 3. The at-sensor temperature difference of test site 1 is 0.07 K and increased to 1.37 K in test site 3, a net increase by 1.3 K. While the at-sensor temperature difference between ETM+Band 6 and TIRS Band 11 had an inverse performance. With the decrease in vegetation coverage from test site 1 to test site 3, the at-sensor temperature difference was reduced from ~-3.0 to -0.4 K. Therefore, in bare soil dominated test site 3, the temperature difference was 1.37 K for TIRS Band 10 and -0.4 K for TIRS Band 11. The RMSE of TIRS Band 11 is also much lower than that of TIRS Band 10. This suggests that TIRS Band 11 can perform batter in bare soil area than TIRS Band 10 though the latter shows an overall batter performance than TIRS Band 11. The study also found that in low vegetation cover areas like in test sites 2 and 3, taking an averaged at-sensor temperature of TIRS Bands 10 and 11, the difference between the two sensors’ at-sensor temperature can be reduced to less than -0.5 K.

In order to calibrate the corresponding center wavelength and bandwidth to the prism’s rotating angle of a scanning prism-dispersive solar spectrometer, a prism-rotating method to measure the spectral response function (SRF) of the solar spectrometer is suggested. The measuring process is as follows. With the wavelength of monochromatic light invariant, the prism is rotated for scanning the monochromatic image at the location of detector. Then the spectral response function is obtained by mapping the coordinate in position to the coordinate in wavelength. At first in this paper, by analyzing the definition of SRF, the conclusion is deduced that the prism-rotating method is equivalent to the wavelength-scanning method in practice. Then the 532 nm solid-state laser and 632.8 nm He-Ne laser are used as light source. The measurement of SRF of the solar spectrometer based on prism-rotating method is performed. A measurement of SRF with wavelength-scanning method is also performed to be used as a comparison. Experimental results indicate that the center wavelength of the scanning prism-dispersive solar spectrometer measured with prism-rotating method is 531.86 and 632.67 nm respectively. On the other hand, the result is 53139 and 631.97 nm with wavelength-scanning method, which is less precise than the result of prism-rotating method. The values of bandwidth measured with prism-rotating method are also more precise than the latter owing to avoiding the performance deficiency of monochromator. At last, using mercury vapor lamp as light source, an experiment for spectral calibration of the solar spectrometer with prism-rotating method is performed. The values of center wavelength and bandwidth are both achieved with the method combining the prism-rotating method and chracteristic spectrum. This method can also be used to calibrate the monochromator and the grating-dispersive spectrometer whose grating is rotatable.

Since ultraviolet radiation is one of the major environmental factors that cause photoageing/photodamage, human hair, including both dyed and undyed hair, are subject to color change following extended exposure to sunlight. In the work described in this paper, six samples of human hair from Chinese volunteers that included untreated, bleached and dyed were subjected to accelerated ageing by exposure to UVA (320～400 nm) radiation. Changes to their chemical compositions during photoageing were non-destructively characterized by reflectance, 3D-fluorescence and attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopies. These techniques, together with a quantitative analysis of the photosensitized generation of hydrogen peroxide, were used to assess the effects of different hair color and bleaching/dyeing treatments on the light stability of hair fibers. The results suggest that UVA irradiation can induce the production of hydrogen peroxide via a type Ⅱ mechanism (electron transfer interaction between photosensitive protein groups in their excited states) and subsequent reaction with oxygen, resulting in photo-oxidative degradation of surface protein and pigments of the hair fiber. Hair fibers of natural or artificial color respond differently in terms of color change during photoageing. Natural white and gray hair fibers exhibited the usual photoyellowing; and chemically black-dyed and bleached hairs showed photofading and additional photobleaching, respectively. Irradiation of hair in the wet state was found to accelerate photodegradation. Chemical bleaching and oxidative dyeing processes were shown to promote the photoinduced production of hydrogen peroxide, which contribute to a higher level of oxidative stress and thereby affects the photostability of human hair. Pigment molecules in hair, including both the natural pigmentation of melanin and that produced by artificial dyes, are suggested to play a dual role, both in the production and in the scavenging of oxygen free radicals. The work is designed to contribute to the establishment of spectroscopic methods for assessing the extent of hair photodamage as well as providing a sound experimental data basis for the research and development of improved hair dyes and after-dye products for the Chinese cosmetic market.

The spectrum of optical fiber surface plasmon resonance (SPR) shows the characteristics of wider full width at half-maximum (FWHM) and smaller peak value. The traditional peak detection algorithm cannot calculate the resonance wavelength of this kind of spectrum accurately. Therefore, efficient methods to calculate the resonance wavelength are required. This paper presents a method to process the SPR signal based on the Gaussian fitting. Combined with the trust region algorithm to determine the Gaussian fitting function, and then the resonance wavelength be calculated by line search method. Data processing of standard spectrum of glycerin with different concentration proves that this algorithm can adapt to optical fiber SPR spectrum characteristics, and calculate resonance wavelength accurately. The experiment measures the SPR signals of sucrose under different concentrations through the self-building SPR measure system. By using the proposed method, the weighted centroid method and the tracking centroid method to calculate the resonance wavelength, the result shows that the Gaussian fitting method can effectively improve resolution and have a short operation time which is conducive to engineering application.

Quantitative analysis of mixture samples’ components based on terahertz absorption spectra is one of the most important applications of THz technology. As is known to all, when the THz wave irradiates into samples, it will be scattered by the sample particles in the microscale, which is known as scattering. So THz absorption spectra of the experimental obtained samples are basically composed of two parts, samples’ intrinsic absorption of THz wave and the scattering. Especially when particles’ grain size of the samples is near or comparable to the THz wavelength, the scattering is so significant that it cannot be ignored. However, the scattering was always not taken into account while only the Lambert-Beer law was used in THz quantitative analysis, in which the absorption of light was described as linearly related with the material’s concentration. As a result, the accuracy was restricted. In this paper, the scattering in THz band was analyzed and absorption spectrum model of mixed sample’s THz was proposed. A series of quantitative analysis experiments proved the validity of this model. Through the comparision with the traditional method, the accuracy of the quantitative analysis was improved and the errors were basically below 3%. This research proved that scattering is important to improve the accuracy of THz quantitative analysis.

In this paper, the interaction of cucurbit [8]uril(Q[8]) with thionine (TH) and carbendazim (CBZ) were investigated with fluorescence and UV-Vis spectroscopy. The experimental results showed that the inclusion complex between Q[8] and TH informed was at molar ratios of 1∶2 in 0.01 mol·L-1 hydrochloric acid solution. The fluorescence intensity of the Q[8]/TH complexes quenched when Q[8] was added to TH solution, but fluorescence increasing of the Q[8]/TH complex with the addition of CBZ was observed. The fluorescence increasing values show a good linear relationship with the CBZ concentration within 0~3.5 μmol·L-1. The linear regression equation relating fluorescence intensity (If) to CBZ concentration (c) is If=0.45c+32.24 (r=0.999). The detection limit was 9.39×10-8 mol·L-1. Forthemore, the influence of foreign species on the analytical signal of the Q[8]/TH complex in the presence of carbendazim was established. No interference was observed from commonly used foreign species such as metal ions (Fe3+, Mg2+, Ca2+). In particular, benzimidazole compounds thiabendazole and fuberidazole do not interfere with CBZ determination at a specific concentration. The results revealed that complexation of Q[8] and TH with CBZ offers a fluorescent switching “on-off” effect which will supply a potential application in pesticide residues test.

Potassium (K) deficiency affects cotton growth. The substitution effects of sodium (Na) and potassium research have been the focus of attention at home and abroad. The aim of this paper was to study the substitution effects of Na and K on material composition in leaf of two kinds of K-efficiency cotton genotypes (HG103 and LG122) using Fourier to transform infrared (FTIR) spectroscopy. The results showed that: (1) the increment of the relative absorbance of HG103 at peaks 2 960, 2 855 and 2 926 cm-1 were the same with LG122 with addition of Na in deficient K, while at peaks 1 078 and 1 103 cm-1, the increment of HG103 was higher than LG122, indicating that in deficient K, Na could promote the synthesis of carbohydrate, protein and esters, wherein the promoting effect on carbohydrate of HG103 was greater than LG122, while for protein and esters, there has no difference. However, the decrement of the relative absorbance at these five peaks of HG103 was higher than LG122 with addition of Na in adequate K, suggesting that in adequate K, the inhibitory effect of Na on carbohydrate, protein and esters of HG103 was less LG122. (2) the peaks at 1 734 and 1 437 cm-1 disappeared due to K dificiency, when added Na, these peaks did not appear, implying that the structure of amideⅠband and cellulose was broken when lack of K when added Na has no changes.

The occurrence of greenhouse vegetable diseases and its epidemic seriously affect the production and management of facility agriculture, which greatly reduce the economic benefits of facility agriculture. In order to achieve nondestructive and accurate prediction of greenhouse vegetable diseases, this paper taking cucumber downy mildew disease as the research object, constructed spectrum characteristic index by using chlorophyll fluorescence induced by laser and established the prediction model of greenhouse vegetable diseases. In this paper, the experiment used comparative analysis method. The healthy leaves of the crops were inoculated with the pathogen spores, the spectrum curves of four groups of test samples: healthy, 2 d inoculated, 6 d inoculated and the ones with obvious symptoms were collected; then qualitative analysis was given to the variation regulation of the fluorescence intensity with the leaf samples infected with the pathogen spores. The chlorophyll fluorescence spectrum index k1=F685/F512 and k2=F734/F512 were created by using the peak and valley values of different bands. According to the range of values, set k1=20 and k2=10 as the characteristic value to judge the sample with obvious symptoms or with no obvious symptoms, and the accuracy rate of the judgment was 96% and 94% respectively. Based on spectrum index created and the classification results of sample health status, we selected the spectrum index F685/F512, F685-F734, F715/F612 to determine the health status of the sample and selected spectrum index F685/F512, F734/F512, F685-F734, F715/F612 as the inputs of quantitative analysis model. Regarding classification accuracy of prediction set as the evaluation criteria, we compared three data modeling methods: discriminant analysis, BP neural network and support vector machine. The results showed that the forecasting ability can reach 91.38% when the support vector machine was used as the modeling method for predicting the downy mildew disease. Use the method with chlorophyll fluorescence induced by laser to construct spectrum index to study the prediction of plant diseases, which has a good classification and identification effect.

Only using soil spectrum to model soil salinity is not enough to meet the actual demands because of the complicated soil context. As a remotely sensed indicator, the vegetation type and its growing condition can provide a spatial overview of salinity distribution. Based on the synergistic relationship between soil salinity and vegetation in arid land, this paper tries to combine the spectrum of soil and vegetation to quantitatively estimate the salt content with the help of the concept of two-dimensional feature space. After the analysis of scatter diagram, the soil salinity detecting model was constructed to improve reasoning precision. However, because the impact of soil reflectance on the quantification of vegetation parameters under the individual pixel, the Normalized Difference Vegetation Index (NDVI) was difficult to accurately obtain sparse vegetation cover in arid areas. Therefore, in order to avoid the limitations of NDVI, the Combined Vegetation Indicative Factor(CVIF)was created and supported by Linear Spectral Unmixing Model (LSUM). Then, the study constructed the feature space based on the CVIF and salinity index (SI) and analyzed the response relationship between soil salinity and the trend of scattered points. Finally, a new and operational model termed Salinity Inference Model (SID) was developed. The results showed that the CVIF (R2>0.84, RMSE=3.92) performed better than NDVI(R2>0.66, RMSE=13.77), which means the CVIF was more appropriate for analyzing variations in vegetation cover (particularly halophytes) than NDVI in the study area. The SID was then compared to the Combined Cpectral Response Index (COSRI)(NDVI-based) from field measurements with respect to the soil salt content. The results indicated that the SID values are highly correlated with soil salinity, in contrast to the performance of COSRI. Strong exponential relationships were observed between soil salinity and SID (R2>0.86, RMSE<6.86) compared to COSRI (R2=0.71, RMSE=16.21). These results suggested that the feature space related to biophysical properties combined with CVIF and SI can effectively provide information on soil salinity.

Currently, X-ray fluorescence spectrometer (XRF) is not widely used in the determination of geological samples, and it’s much less used in the study of sedimentary facies. XRF was firstly used to identify sedimentary environment of the T3x2 formation in central Sichuan region. In order to investigate the controversy of sedimentary facies and sedimentary environment of T3x2 formation of the Upper Triassic in the Central Part of Sichuan Basin, particularly whether the T3x2 formation is continental deposit or marine deposit, samples were collected in four representative zones from Xujiahe formation in Sichuan Basin. The method of X-ray fluorescence spectrometry were used to analyze the element contents and its’ changing characteristics of the deposition from target formation. The sedimentary facies and sedimentary environment of target formation could be quantificationally analyzed by the symbol of corresponding element content. The results of the study show that the ratio of Sr/Ba, Mn/Fe and Sr/Ca of T3x2 formation belong to continental deposits, and it has no significant difference with characteristics of element contents from T3x3 or T3x4. The analysis results about the ratio of Sr/Cu show that the climatic environment of target formation was warm and humid, and T3x2 formation was belong to continental deposits in warm and humid environment, which is similar to the sedimentary environment of T3x3 or T3x4 formation. The relative errors between this method and conventional chemical analysis are less than 3%. The method of X ray fluorescence spectrometry is simple and feasible, which provides a quantitative analysis method for identification of sedimentary facies and sedimentary environment. The paper provides a new feasible method to solve the controversial sedimentary facies, which will promote the using of X-ray fluorescence spectrometric analysis method in geology.

According to the research achievements of phase change and humidity storage composite materials preparation in early stage, SiO2-based phase change and humidity storage composite materials were made by sol-gel method with SiO2 as the carrier and decanoic acid-palmitic acid as a phase change material in this paper. Synthetic materials in every stage of preparation process of decanoic acid-palmitic acid/SiO2 phase change and humidity storage composite materials were measured by Fourier transform infrared spectrum，such as phase change material preparation stage, SiO2 carrier material preparation stage and decanoic acid-palmitic acid/SiO2 phase change and humidity storage composite materials preparation stage. In the process of decanoic acid-palmitic acid/SiO2 phase change and humidity storage composite materials preparation, SiO2 network structure forming mechanism, decanoic acid-palmitic acid embed mode, chimeric mechanism of SiO2 and decanoic acid-palmitic acid were researched, respectively, in order to explain the mechanism of how to prepare decanoic acid-palmitic acid/SiO2 phase change and humidity storage composite materials by sol-gel method. Meanwhile, material composition and micro topography of decanoic acid-palmitic acid/SiO2 phase change and humidity storage composite materials were tested by X-ray diffracmeter and scanning electron microscope, so as to provide evidence about preparation mechanism of decanoic acid-palmitic acid/SiO2 phase change and humidity storage composite materials. The results showed that decanoic acid-palmitic acid is packed in a large number of closed pores or cages which were formed through breaking and restructuring of Si—O—Si groups; then, decanoic acid-palmitic acid/SiO2 phase change and humidity storage composite materials can be prepared based on those mentioned above. Decanoic acid-palmitic acid and SiO2 are only physical chimeric to each other, without any chemical reaction in the preparation process of decanoic acid-palmitic acid/SiO2 phase change and humidity storage composite materials. A large number of closed pores or cages are formed by SiO2 in acid-palmitic acid/SiO2 phase change and humidity storage composite materials, of which one part is used for coating decanoic acid-palmitic acid with phase change thermal control performance, and the other part is used for network space structure with humidity storage humidity control performance, in order to achieve the purpose of adjusting indoor temperature and humidity at the same time.

The isothermal surface equation of tri-band radiation thermometry with linear emissivity model has been deduced, based on tri-band radiation measurement equations. The isothermal surface equation is the point multiplication of measurement signal vector and measurement signal coefficient vector. The solution algorithm for tri-band radiation thermometry defined as dichotomy with coefficients stored in this paper has been developed because of the characteristics of measurement signal vector which is only the function of temperature and the advantage of dichotomy in solving non-linear equation. And the solution algorithm has been achieved by C++ program. The curves of isothermal surface equations at specific measurement signal vectors have been investigated and the results show that the curves are monotone at a greater range of temperature and the tail of curves tend to be positive from minus with the increase of V3. The analyses of error and time complexity have been carried out and the results show that the maximum error is (Tmax-Tmin)/2num+1 when the number for the solution algorithm is Num, and there are about 3Num+1 multiplication and 2Num+1 addition in every dichotomy process without division and logarithm, which can crease the solving rate dramatically.

Non-destructive detection for soluble solids content (SSC) is important to improve watermelon’s internal quality, which attracts more and more attention from consumers. In order to realize the precise detection for SSC of mini watermelon’s whole surface by using Near-infrared (NIR) spectroscopy and reduce the influence of detective position variability on the accuracy of NIR prediction model for SSC, the diffused transmission spectra and soluble solids content were collected from three different detective positions of ‘jingxiu’ watermelon, including the equator, calyx and stem. The prediction models of single detective position and mixed three detective positions for SSC were established with Partial least square (PLS). Successive projections algorithm (SPA) and competitive adaptive reweighted sampling (CARS) were adopted to select effective variables of NIR spectroscopy for SSC of watermelon as well. The results showed that the prediction model of mixed three detective positions was better than the model of single detective position. Meanwhile, 42 characteristic variables of NIR spectroscopy selected with CARS were used to establish PLS prediction model for SSC. The prediction model was simplified significantly and the prediction accuracy for SSC was improved greatly. The correlation coefficient of prediction (RP) and root mean square error of prediction (RMSEP) by CARS-PLS were 0.892, 0.684 °Brix for the equator, 0.905, 0.621 °Brix for the calyx, 0.899, 0.721 °Brix for the stem, respectively. However, the prediction result of SPA-PLS established by 19 characteristic wavelength variables of NIR spectroscopy was bad for the equator, calyx and stem detective positions. The correlation coefficient of prediction (RP) is less than 0.752 and root mean square error of prediction (RMSEP) is relatively high. It was proposed that the PLS prediction model established by mixed three different detective positions with effective characteristic wavelength variables selected by CARS can improve the prediction accuracy for SSC. And the CARS-PLS prediction model can achieve fast and precise detection for SSC of mini watermelon’s whole surface. The influence of detective position variability on the accuracy of NIR prediction model could be reduced simultaneously. This paper could provide theoretical basis for calibrating NIR prediction model for SSC of mini watermelon. It also could provide reference for developing the portable and non-destructive detection equipment for soluble solids content of mini watermelon’s whole surface.

Microalgae based biodiesel production requires a large amount of lipid accumulation in the cells, and the accumulation is greatly influenced by the environment. Therefore, it is necessary to find fast and non-destructive methods for lipid change detection. In this paper, Chlorella sp. was adopted as the objective, which was cultured under different light condition consisted of red and blue lights with different proportion. We applied the visible near-infrared spectroscopy (Vis/NIRs) technique to detect the dynamic change of lipid during the microalgae growth processes and utilized hyperspectral imaging technology for visualization of lipid distribution in the suspension. The transmittance and reflectance spectra of microalgae were acquired with Vis/NIRs and hyper-spectroscopy, respectively. In the comparison of the transmittance and reflectance spectra, they showed some different characteristics. Meanwhile it also varied in terms of the number and the area of feature wavelengths obtained by successive projections algorithm (SPA) based on the different spectra. But the established multiple linear regression (MLR) model for lipid content prediction had similar results with rpre of 0.940, RMSEP of 0.003 56 and rpre of 0.932, RMSEP of 0.004 23, respectively. Based on the predictive model, we obtained the spectra and analyzed the lipid dynamic change in microalgae in one life cycle. In the life cycle, the lipid content in Chlorella sp. was relatively stable from the beginning of inoculation to exponential phase, the increase and accumulation of lipid phenomenon occurred in the late exponential phase. Combined with the MLR model and the hypersepctral images, we studied the visualization result of microalgae suspension in the steady phase. The stimulated images showed that the microalgae with higher lipid content appeared gathering. This study compared the difference and the feasibility of the Vis/NIRs and hyperspectral imaging technique in lipid content detection applied in microalgae growing microalgae. The results are meaningful for the fast and non-destructive detection of the growth information of microalgae. It has boththeoretical and practical significance for developing microalgal culture and harvest strategy in practice.

The UV-B radiation on the surface of our planet has been enhanced due to gradual thinning of ozone layer. The change of solar spectrum UV-B radiation will cause damage to all kinds of terrestrial plants at certain degree. In this paper, taking breeding sorghum (Sorghum bicolor (L.Moench))variety Longza No.5 as sample, 40 μW·cm-2 UV-B radiation treatment was conducted on sorghum seedlings at two-leaf and one-heart stage and different time courses; then after a 2 d recovering, photosynthetic parameters were measured with a photosynthetic apparatus; the activities of antioxidant enzymes were detected as well. Our results revealed that, as the dosages of UV-B increasing, leaf browning injury was aggravated, plants dwarfing and significantly were reduced fresh weight and dry weight were observed; anthocyanin content was significantly increased; chlorophyll and carotenoid content significantly were reduced and net photosynthetic rate and chlorophyll fluorescence parameters were decreased. Meanwhile, with the increase in UV-B dosages, stomatal conductance, intercellular CO2 concentration and transpiration rate showed “down - up - down” trend; the activities of SOD and GR presented “down - up” changes; activities of POD and CAT demonstrated “down - up - down”, and APX, GPX showed an “up - down - up” pattern. It is worth to note that, under the four-dose treatment, a sharp decline in net photosynthesis in sorghum seedlings was observed at 6 h UV-B treatment (equals to 2.4 J·m-2), and an obvious turning point was also found for other photosynthetic parameters and activities of antioxidant enzymes at the same time point. In summary, the results indicated that the enhanced UV-B radiation directly accounted for the damages in photosynthesis system including photosynthetic pigment content, net photosynthetic rate and chlorophyll fluorescence parameters of sorghum; the antioxidant system showed different responses to UV-B radiation below or above 6 h treatment: ASA-GSH cycle was more sensitive to low-dose UV-B radiation, while high-dose UV-B radiation not only undermined the photosynthesis system, but also triggered plant enzymatic and non-enzymatic antioxidant systems, resulting in leaf browning and necrosis,biomass accumulation reduction, plant dwarfing and even death.

A new in-fiber Mach-Zehnder interferometer (MZI) based on lateral-offset and peanut shape structure is proposed and demonstrated for the measure of curvature and liquid level. The sensor consists of lateral-offset structure and peanut shape structure. A section of single mode fiber (SMF) is spliced between them. A part of core mode in the single mode fiber is excited to cladding modes by lateral-offset. The cladding modes are re-coupled to the core mode by peanut-shape structure and get interference with the core mode. A high-quality interference spectrum with a fringe visibility of about 12 dB is observed. The effective refractive indices of cladding mode would change with the external environment parameters, which further bring about a shift of the interference fringes. The liquid level or curvature can be measured by record the shift of the valley, because the shift of the valley shows a linear dependence with the variation of the liquid level or curvature theoretically. In the water level experiment, the water level changes from 1.00 to 5.00 cm and the wavelength valley shows a red shift. The sensitivity of the MZI with a length of 6.10 cm is -0.68 nm·cm-1. In the curvature experiment, the curvature changes from 0.3 to 1.2 and the wavelength valley shows a blue shift. The sensitivity of the MZI with a length of 2.10 cm is 22.47 nm·m. The lateral-offset structure and peanut shape structure are spliced to fabricate the MZI. The sensitivity of the MZI is high, especially in the curvature measurement, it is higher than that of other fiber curvature sensors. Moreover the MZI presented in this paper has advantages of low cost and easy fabrication, which can be a potential application in the liquid level and curvature measurement.

With the development of the laser towards high-power and high energy, laser-induced damage threshold of optics becomes one of the important parameters to evaluate the laser damage resistance of optics. Therefore, accurately measuring of the laser-induced damage threshold optics become the focal point studied. And the key to accurately measuring of the laser-induced damage threshold is whether the laser-induced damage can be accurately identified when it occurs. In order to solve low accuracy, long testing time, narrow scope of applications and complex operation of the common damage identification methods, a new testing method to diagnose the laser-induced damage of optics, called plasma diagnosis, is proposed in this paper. Based on this new method, the testing platform was set up, and the spectrum obtained by fiber spectrometer was analyzed under laser radiation by different laser energies. Take whether the spectral lines of the feature element contained in the measured optics occur as standard. The laser-induced damage threshold of K9 glass has been tested, and the test result was compared to that measured by the plasma flash method and the microscope method. The results show that, the plasma diagnosis method proposed in this paper has high-accurate judgment, high- testing speed, simple testing equipment, and easy to realization, which can greatly improve the testing efficiency of the laser-induced damage threshold of optics.

The objective is to use orthogonal experiment to optimize the pretreatment on the determination of serum cholesterol and its markers by GC-MS. And then the method is evaluated in a methodological perspective. The methodis to Use L16(211) orthogonal experiment design to observe the influence of three key steps，althogether seven factors of pretreatment, which are saponification (KOH ethanol solution concentration, temperature and time), extraction (dose) and derivatization (temperature , time and dose). As for the results，the conditions of optimal pretreatment are as follows：the ethanol solution is 1 mol·L-1 KOH, the saponification temperature is 70 ℃;the saponification time is 60 min;the Solvent quantity is 2 mL;the derivatization temperature is 70 ℃;the derivatization time is 60 min，and the derivatization agent is 100 μL. Through the optimization by orthogonal design and methodological evaluation, the determination of serum cholesterol and its markers by GC-MS is excellent in terms of accuracy and precision, and methodological evaluation indexes are better than those reported in other papers.

To overcome the difficulties of complex structure and serious nonlinear dispersion in prismatic imaging spectrometer the coaxial linear dispersion prismatic imaging spectrometer is investigated in this paper. A mathematical model of symmetric triple prisms’ beam splitting system is constructed with prism’s dispersion equation, and the prisms assemble of direct view is obtained. Then the factors affecting dispersion linearity are analyzed. The refractive index and dispersion rate of prism material impact dispersion linearity most while the influence of incident angle is very small. The way to improve dispersion linearity is given and the refractive index condition meeting the requirement of dispersion linearity of prisms is obtained. It provides important basis to select the initial structure for coaxial linear dispersion triplet prisms of imaging spectrometer. On condition that the working band of 400~1 000 nm, center wavelength deviation angle 0°, the maximum dispersion angle 0.6°, object numerical aperture 0.15 and spectral resolution 5 nm, we succeed in designing coaxial linear dispersion triplet prisms. Digital simulation with ZEMAX is performed, and the results are in accordance with theoretical analysis.

The redshift measurement of galaxy spectrum is a key issue in large astronomical spectral survey. Its goal is to extract the redshift from spectrum, which is caused the Doppler Effect. With the development of the extragalactic sky survey project, the distance (redshift) of the observed targets is becoming further. As a result, the magnitude of the observed objects becomes darker and the spectral quality becomes poorer. Therefore, how to effectively and accurately measure the redshift from these low quality spectra is becoming an important problem in the extragalactic survey. Considering the spectral features and the data character, a new definition of multi-resolution fusion distance for low quality spectra is proposed. In this paper, we put forward a redshift measuring method for low quality galaxy spectra. This method combines the spectral features with different resolutions. The template spectrum and the spectrum to measure are reduced to the resolution and then a distance is computed by combining the offset of the above two spectra in different wavelengths. Then, a fusion distance is weighted averaged from the distances with different resolutions. In this paper, the effect of signal-to-noise ratio (SNR) on the measuring accuracy of the proposed method is discussed. The measuring accuracy is larger than 90% when the SNR is larger than 5. A large number of experiments show that the method proposed in this paper is very efficient in measuring the redshift of the low-quality galaxy spectra and the measuring error has nothing to do with the redshift value. The proposed method can be applied in redshift measurement of galaxies for the large-scale survey data.

In engineering construction, cement quality directly affects the safety of construction projects. So it is necessary that we use qualified cement in the engineering structure. It is of great signification that a method detects cement raw material rapidly to adjust the mixture ratio of raw ores to ensure the cement quality. Traditional detection method needs sampling, sample preparation and test, etc. With many procedures, the test results are seriously lagged behind the production process. This paper introduces a set of online analysis equipment to determinate elemental composition of cement powder timely based on laser induced breakdown spectroscopy. This equipment is composed of a LIBS detection system and a pneumatic system. The equipment can achieve the real-time measurement for it needn’t sample preparation. Thus, it can guide cement raw material proportioning in time. In this paper, we have quantitatively analyzed the main components of Al2O3, CaO, Fe2O3, MgO and SiO2 in the cement raw materials using the full spectrum normalization method as well as the support vector machine. The corresponding maximum absolute errors were 0.34%, 0.35%, 0.07%, 0.14%, and 0.55%, respectively. Results showed that the measurement results of the newly developed LIBS equipment are in accord with those of the conventional chemical method. Furthermore, the measurement precision is in line with X-Ray fluorescence spectrometry. It is confirmed that the LIBS technique could be a prospect method for determination of elemental composition in the cement production industries.

During the synthesis of crystal material, specific dopant can enhance the qualities and performance of crystals, while the types, concentrations and distributions of doping elements also have significant influence on the structures and properties of artificial crystals. Hence, it is very important to determine the concentrations of doping elements for further improving the crystal material formulas, crystal growth process, andits quality control. Currently, the analysis techniques for doping elements’ characterization include atomic spectrometry, X-ray fluorescence spectrometry, inorganic mass spectrometry, electron probe microanalysis, etc. The principles, advantages and disadvantages of these techniques are discussed in this paper. Considering the specialties and scope of application, it is necessary to choose the suitable methods to improve the efficiency and accuracy. Meanwhile, the developing trends of analysis methods for doping elements are also prospected.

Selecting proper characteristic lines from enormous spectral intensities is crucially important to implement quantitative analysis of Laser-Induced Breakdown Spectroscopy using internal standard method. Manual selecting of characteristic lines by researchers is time consuming and energy consuming, which cannot guarantee the best result. An automatic method to select analytical and reference lines for internal standard method from the original spectra based on Genetic Algorithm was proposed in this paper. This method was utilized to select analytical and reference lines for internal standard methods from LIBS of Mn, Ni, Cr, Si and Fe of low alloy steels. The optimal characteristic lines optimized by this method were the analytical line 403.306 8 nm of Mn and the corresponding reference line 368.745 7 nm of Fe, the analytical line 288.157 7 nm of Si and the corresponding reference line 427.176 1 nm of Fe, the analytical line 286.510 0 nm of Cr and the corresponding reference line 272.753 9 nm of Fe and the analytical line 352.453 6 nm of Ni and the corresponding reference line 358.698 5 nm of Fe, respectively. Then these elements were quantified by the internal standard method using these selected lines. The results showed that this proposed method for selecting characteristic lines can automatically select the optimal analytical and reference lines and could guarantee the best quantitative result obtained by internal standard method.

The composition of training samples set is an important influence factor of spectral reflectance reconstruction process. Representative color samples selection for learning-based spectral reflectance reconstruction is discussed in this paper. A method based on Principal Component Analysis (PCA) is proposed to perform sample selection. First of all, a part of samples are selected according to the minimum Euclidean distance criteria in terms of camera response value from a large number of samples, which aim to ensure the similarity between training samples and target samples. Then the PCA data processing method is applied to these samples after removing the duplicate samples. The samples with larger principal component loadings are regarded as the representative color samples. Different thresholds for each principal component are used to make decision whether the loading of sample is large enough. In order to validate the proposed method, the selected samples are used as training samples to recover the spectral reflectance of color patches. A real multi-channel imaging system by loading broadband color filters in front of lens is used in the experiment to acquire the multi-channel image dataset. In this paper the pseudo-inverse method is employed to reconstruct spectral reflectance of target color patches. It is shown that the proposed method is superior to the previous methods in spectral reconstruction accuracy and can meet the requirements of high precision color reproduction.

Terahertz Time-Domain Spectroscopy (THz-TDS) is one of the effective coherent detection techniques. It has been widely applied in materials, chemistry, biology, security and other fields due to its capabilities such as high signal-to-noise ratio (SNR), broadband detection, working at room temperature, time resolved measurement and others. Limited by the spectrum bandwidth of THz radiation and detection techniques, the measuring range of the traditional THz-TDS system is generally less than several THz, thus the spectral information of high frequencies cannot be obtained. In order to expand its application, there is an urgent need for the development of ultra-broadband (≥10 THz) THz-TDS detection techniques. This paper reviews the development and applications of main detection techniques in ultra-broadband THz-TDS. The advantages and disadvantages of these techniques are also analyzed.

Soil moisture content (SMC) is one of the most important indicators influencing the exchange of energy and water among vegetation, soil, and the atmosphere. Accurate detection of soil moisture content is beneficial to improving the precision of crop yield evaluating and field management measures. In this paper, a novel method ADI (Angle Dryness Index) based on NIR-RED spectral feature space used for calculating SMC was proposed, which improved the accuracy of calculating SMC with red and near infrared band reflectance. It was found that an intermediate parameter θ in NIR-RED feature space was significantly related to SMC, and independent of vegetation coverage according to the linear decomposition of mixed pixel and the empirical correlation between SMC and red/NIR band reflectance which were achieved by previous researches. Then, ADI was proposed with the feature discovered in the paper. The mathematical expression on SMC is nonlinear, and the newton iterative method is applied to ADI for calculation SMC. Then, the newly proposed method was validated with two kinds of remote sensing imagery data (Thematic Mapper (TM) and moderate resolution imaging spectrometer (MODIS)) and the synchronous observed data in the field. Validation results revealed that the ADI- derived SMC was highly accordant with the in-situ results with high correlation (R2=0.74 with TM and R2=0.64 with MODIS data). We also calculated MPDI (Modified Perpendicular Drought Index) developed by Ghulam, which is also proposed with the red and near infrared reflectance. The result showed that the accuracy of MPDI was lower than that of ADI. The most likely reason was that ADI was insensitive to fv, but the calculation errors of fv would reduce the accuracy of SMC estimation. MODIS had a low spatial resolution, thus there may be more than two end members in a mixed pixel. In this case, the linear decomposition of mixed pixel was not applicable and the errors would finally be enlarged. ADI achieved good results in monitoring SMC in vegetated area because it was less influenced by vegetation coverage than other similar approaches. ADI only requires the satellite image data including the red and near infrared band which are available from most of the optical sensors. Therefore, it is an effective and promising method for monitoring SMC in vegetated area, and would be widely used in agriculture, meteorology, and hydrology.

Current atmospheric correction of HJ-1 CCD does not take the aerosol models of Chinese specific regions into consideration. This paper proposes a method of atmospheric correction coupling local aerosol models. Choosing Beijing-Tianjin-Hebei region as the study area, aerosol model parameters of the method on the foundation of AERONET inversion are analyzed and four types of aerosol model parameters of Beijing-Tianjin- Hebei regions are clustered to build the lookup table for the inversion of aerosol optical thickness. Lack of SWIR (2.12 μm) in the bands of HJ-1 CCD , the blue(0.43~0.52 μm) and red(0.63~0.69 μm) cannot be calculated like the MODIS. So the ratio of blue and red is used as the basis of error equation for aerosol optical depth retrieval, with no need of ground target reflectance. HJ-1 CCD data after atmospheric correction are compared with MODIS surface product data (MOD09) and ASD measurements. The results show that the reflectance obtained by the atmospheric correction is close to the ASD measurement results, and there is a strong correlation with MOD09, the average correlation coefficient in the red band reached more than 0.8, the one of blue band affected by molecule mostly is up to 0.75.