Contents
2022
Volume: 42 Issue 5
50 Article(s)

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Research Articles
The Evaluation of Literature and Its Metrological Statistics of X-Ray Fluorescence Spectrometry Analysis in China
Yi-ya WANG, Yi-min WANG, and Xin-hua GAO
X-ray fluorescence spectrometry analysis in China had experienced 60 years, and the number of relevant technical documents had been over ten thousand. The literature “bibliometric analysis on research trend of X-ray fluorescence spectrometry based on CNKI” and the book of X-ray spectrometry literature index in China we
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1329 (2022)
Research Progress of Pathogenic Bacteria and Their Drug Resistance Detection Based on Surface Enhanced Raman Technology
Qiu-yue FU, Xiang-lin FANG, Yi ZHAO, Xun QIU, Peng WANG, and Shao-xin LI
With antimicrobial drugs widely used in the clinic, the drug resistance of pathogenic bacteria is becoming more and more serious. Rapid, highly sensitive, and accurate detection of bacteria and their drug susceptibility is the key to alleviating bacterial resistance. Surface-Enhanced Raman Scattering (SERS), can be use
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1339 (2022)
Rapid Measurement of Integrated Absorbance of Flow Field Using Extreme Learning Machine
Ya-jing JIANG, Jun-ling SONG, Wei RAO, Kai WANG, Deng-cheng LOU, and Jian-yu GUO
The engine is the core component of the vehicle power system. The dynamic monitoring of the engine flow field can grasp the combustion situation of the internal flow field of the engine, which is of great significance for the vehicle condition monitoring and performance evaluation. Therefore, advanced diagnostic techno
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1346 (2022)
Research on Deep Sorting Approach Based on Infrared Spectroscopy for High-Value Utilization of Municipal Solid Waste
Bin HU, Hao FU, Wen-bin WANG, Bing ZHANG, Fan TANG, Shan-wei MA, and Qiang LU
Due to the advantages of high speed and high accuracy, infrared spectra play a vital role in classification and identification. For municipal solid wastes, the application of infrared spectra mainly focuses on recyclable garbage such as plastics, neglecting the deep separation of the non-recyclable wastes. Based on the
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1353 (2022)
Spectrometric Investigation of Structure Hydroxyl in Traditional Ceramics
Ling-tong YAN, Li LI, He-yang SUN, Qing XU, and Song-lin FENG
Fired clay products can absorb water molecules and be re-hydroxylated, and the amount of structural hydroxyl groups generated has a certain relationship with the storage time. Based on the theory of rehydroxylation in fired-clay, thermogravimetric analysis can be used to study the dating of pottery products. Infrared a
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1361 (2022)
Detection of Citrus Granulation Based on Near-Infrared Hyperspectral Data
Yan-de LIU, Mao-peng LI, Jun HU, Zhen XU, and Hui-zhen CUI
The granulation of navel orange affects consumers' taste and reduces its quality. It has attracted the attention of fruit farmers and consumers. The detection of navel orange granulation is challenging and has great significance for quality classification. In this paper, the different granulation degrees of Gannan
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1366 (2022)
Research on Prediction Model of Soil Nitrogen Content Based on Encoder-CNN
Rong-hua JI, Ying-ying ZHAO, Min-zan LI, and Li-hua ZHENG
Poor generalization ability of soil nitrogen content prediction models based on spectroscopy is the bottleneck of its actual application in agriculture production. However, the deep learning model shows strong potential for generalization because of its automatic feature extraction and excellent nonlinear expression. I
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1372 (2022)
Research on Tunable Spectrum Reconstruction
Liu ZHANG, Jia-kun ZHANG, Xue-ying Lü, Hong-zhen SONG, and Wen-hua WANG
Aiming at the problem of a large amount of spectral data and low reconstruction accuracy in the field of spectral reconstruction, a spectral tunable spectral reconstruction method is proposed. Prior to this, domestic and foreign-related research were carried out based on hundreds of film systems, and the calculation pr
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1378 (2022)
Identification of Pesticide Residue Types in Chinese Cabbage Based on Hyperspectral and Convolutional Neural Network
Rong-chang JIANG, Ming-sheng GU, Qing-he ZHAO, Xin-ran LI, Jing-xin SHEN, and Zhong-bin SU
Traditional chemical detection methods for analyzing pesticide residues in chinese cabbage are slow and destructive. In this study, a rapid, non-destructive method for identifying the types of pesticide residues in chinese cabbage samples was developed. First, the hyperspectral imaging system was used to analyze chines
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1385 (2022)
Design of Subwavelength Narrow Band Notch Filter Based on Depth Learning
Shuai-shuai ZHANG, Jun-hua GUO, Hua-dong LIU, Ying-li ZHANG, Xiang-guo XIAO, and Hai-feng LIANG
Subwavelength grating structures exhibit excellent notch filtering properties. The classical design is to find the optimal solution by setting the geometric structure parameters of the subwavelength, solving Maxwell's equations, and setting an optimization algorithm. It consumes a lot of time and computing resource
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1393 (2022)
Effective Atomic Number Measurement of Energetic Material Using Photon Counting Spectral Computed Tomography
Ya-fei YANG, Cai-xin ZHANG, Hua CHEN, Wei-bin ZHANG, Yong TIAN, Ding-hua ZHANG, and Kui-dong HUANG
Dual-energy computer tomography (CT) or spectral CT can obtain the equivalent atomic number of materials, which is very important for the composition detection and production process improvement of energetic materials. However, the existing methods have some disadvantages, such as high complexity, high equipment requir
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1400 (2022)
A Comparative Study of Inorganic Elements in Cultivativing Astragalus Membranaceus From Different Habitats
Ling-ling WANG, Bo WANG, Feng XIONG, Lu-cun YANG, Jing-jing LI, Yuan-ming XIAO, and Guo-ying ZHOU
Mineral elements are closely related to the efficacy of traditional Chinese medicine. They affect the synthesis of secondary metabolites by regulating the activities of various enzymes in the secondary metabolism pathway, which is an indispensable characteristic parameter for the quality control of traditional Chinese
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1407 (2022)
Element Segregation of Cast-Rolled 7B05 Aluminum Alloy Based on Microbeam X-Ray Fluorescence
Bing HAN, Dan-dan SUN, Wei-hao WAN, Hui WANG, Cai-chang DONG, Lei ZHAO, and Hai-zhou WANG
The low control accuracy and large fluctuation of the composition and microstructure in the micro-scale of the material are the fundamental reasons restricting the localization process of high-speed train aluminum alloy. Therefore, studying the composition uniformity of large size aluminum alloy from the micro scale is
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1413 (2022)
FTIR, 2D-IR and XPS Analyses on the Mechanism of Protoplast Derived From Calendula Officinalis in Response to Lead and Cadmium in Soil
Chun-hui FAN, Jin-huan ZHENG, and Hong-xin LIU
Soil remediation is the key issue supported by the national government in the 14th Five-Year Plan for Economic and Social Development of P. R. China, and also important for socially sustainable development. Phytoremediation might remove metals from the soil more effectively compared to other methods. As the dominant lo
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1420 (2022)
Prediction of the Degree of Late Blight Disease Based on Optical Fiber Spectral Information of Potato Leaves
To detect and prevent potato late disease, the peroxidase (POD) activity of potato late-blight leaves was predicted by spectroscopic techniques, and the prediction of potato late-blight disease was realized based on POD enzyme activity. The spectral reflectivity and POD enzyme activity of potato leaf samples in differe
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1426 (2022)
Research on Detection of Soybean Meal Quality by NIR Based on PLS-GRNN
Li-qi WANG, Jing YAO, Rui-ying WANG, Ying-shu CHEN, Shu-nian LUO, Wei-ning WANG, and Yan-rong ZHANG
Soybean meal is a by-product of soybean oil extracted from soybean after proper drying and heat treatment. It is the main raw material for making livestock feed, and its quality determines the nutritional value. There are many problems with existing soybean meal quality detection methods, such as the use of toxic chemi
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1433 (2022)
Classification of Mycoplasma Pneumoniae Strains Based on One-Dimensional Convolutional Neural Network and Raman Spectroscopy
Yong ZHAO, Men-yuan HE, Bo-lin WANG, Rong ZHAO, and Zong MENG
Mycoplasma pneumoniae is the main cause of human respiratory diseases. Clinically, the symptoms of patients infected with different mycoplasma pneumoniae are very similar, so it is difficult to distinguish the type of mycoplasma pneumoniae according to the symptoms and give medication. Therefore, the accurate identific
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1439 (2022)
Rapid Measurement of the Pharmacological Active Constituents in Herba Epimedii Using Hyperspectral Analysis Technology
Qing-hu JIANG, Feng LIU, Dong-yue YU, Hui LUO, Qiong LIANG, and Yan-jun ZHANG
Herba Epimedii contains high amounts of flavonoids, such as epimedin and icariin, which are efficient in tonifying kidney and improving immunity. Nowadays, various chemical analysis methods have been applied to measure the flavonoid content of Herba Epimedii. However, these traditional methods are destructive, time-con
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1445 (2022)
Study on Chemical Compositions and Origin Discriminations of Hetian Yu From Maxianshan, Gansu Province
Lu-lu DAI, Ming-xing YANG, and Hui-lin WEN
The Hetian Yu from Maxianshan have important gemological and archaeological cultural value in Gansu province. The origin discrimination is divided into a research focus for Hetian Yu from Maxianshan. In this paper, through testing and analyzing chemical compositions of Hetian Yu from Maxianshan, comparing its chemical
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1451 (2022)
LIF Technology and ELM Algorithm Power Transformer Fault Diagnosis Research
Peng-cheng YAN, Chao-yin ZHANG, Quan-sheng SUN, Song-hang SHANG, Ni-ni YIN, and Xiao-fei ZHANG
The detection and analysis of power transformer oil is an effective method for power transformer fault diagnosis, and it is of great significance to quickly identify the oil sample of power transformer oil for power transformer fault diagnosis. The detection technology of conventional power transformer oil is mainly ga
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1459 (2022)
Qualitative Analysis of Pesticide Residues on Chinese Cabbage Based on GK Improved Possibilistic C-Means Clustering
Yang TAN, Xiao-hong WU, Bin WU, Yan-jun SHEN, and Jin-mao LIU
Infrared spectroscopy is a technology used to identify the chemical composition of substances based on molecular vibration and quantum-jump theory. Due to the unique absorbance of different functional groups, the spectral data related to the absorbance and the wavelength (or wavenumber) can be obtained when the infrare
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1465 (2022)
Research on Data Migration Modeling Method for Bending Strength of Solid Wood Based on SWCSS-GFK-SVM
Jin-hao CHEN, Da-peng JIANG, Yi-zhuo ZHANG, and Ke-qi WANG
The modulus of elasticity is an important mechanical index of wood. The advantages of spectral analysis technology include a simple, convenient and fast operation process, which has become an important tool for wood testing. However, in practical applications, we often face changes in temperature and humidity of near-s
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1471 (2022)
An Interpolation Method for Raman Imaging Using Voigt Function
Xian-guang FAN, Yan-rui HUANG, Long LIU, Ying-jie XU, and Xin WANG
Raman imaging is a very important part of Raman spectroscopy technology. By generating pseudo-color images of spectral data, a substance component's concentration and location distribution information in the collected area can be obtained. At present, Raman imaging technology has gradually become one of the optimal
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1478 (2022)
Interaction Between Dipalmityl Phosphatidylcholine and Vitamin B2 Studied by Second Harmonic Spectroscopy and Brewster Angle Microscopy
Jiang-qing LIU, Chang-hui YU, Yuan GUO, Sheng-bin LEI, and Zhen ZHANG
Langmuir monolayers formed by dipalmityl phosphatidylcholine (DPPC) molecules at the air/liquid interface are an important model system for studying the biomembranes, and their chiral structure and interaction with foreign substances have been the frontiers of related fields. Vitamin B2 (VB2) is an important medicine f
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1484 (2022)
Reflectance Spectroscopy for Accurate and Fast Analysis of Saturated Fatty Acid of Edible Oil Using Spectroscopy-Based 2D Convolution Regression Network
Shi-zhuang WENG, Zhao-jie CHU, Man-qin WANG, and Nian WANG
The edible oil in the humandaily diet is rich in saturated fatty acids, which can provide energy and other healthy nutrients for the human body, but excessive intake of saturated fatty acids can lead to a variety of cardiovascular diseases. In this study, a method for analyzing the content of saturated fatty acidsin ed
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1490 (2022)
UAV Image Matching Method Integrating SIFT Algorithm and Detection Model Optimization
Sha GAO, Xi-ping YUAN, Shu GAN, Lin HU, Rui BI, Rao-bo LI, and Wei-dong LUO
Low-altitude unmanned aerial vehicle (UAV) measurement has become an important technical tool in the remote sensing field by the virtue of low-cost, high-efficiency, high-precision data acquisition mode and rapid acquisition images with high spatial resolution. Image matching technology is an important step in UAV imag
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1497 (2022)
Study on Freshwater Cultured White Pearls From Anhui Province Based on Chromaticity and Raman Spectra
Meng-meng LI, Ya-jun TENG, Hong-lin TAN, and En-dong ZU
The color of the pearl is one of the most critical factors affecting its quality. At present, most researches on pearl's color focus on the constituent elements, coloring mechanism and structural differences of different colors, but there are few studies on how to distinguish the pearl of the same color intuitively
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1504 (2022)
Wavelengths Optimization and Chlorophyll Content Detection Based on PROSPECT Model
Jun-yi ZHANG, De-hua GAO, Di SONG, Lang QIAO, Hong SUN, Min-zan LI, and Li LI
Chlorophyll is an important biochemical parameter involved in crop growth. Accurate detection of chlorophyll in real-time has great significance for the precision management of farmland. The PROSPECT model can simulate the reflectivity and transmissibility of leaf at 400~2 500 nm based on leaf's input structural an
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1514 (2022)
Instantaneous Emission Spectra and Mechanism Study on the Reaction of ClF3O and n-Decane
Hua YAN, Xing-hua LIU, Yong DING, Zhi ZHAO, Yong-feng LUO, Yu-hong WU, Peng YAN, Lu DONG, and Da-xi WANG
Chlorine trifluoride oxide (ClF3O) has stronger corrosive and oxidizing properties than other chlorine fluorides such as ClF3. It can react with numerous materials, e.g., water and hydrocarbons. The reaction between ClF3O and organic hydrocarbons may occur at quite a low temperatures and cause an explosion. So far, how
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1522 (2022)
Effects of Three Kinds of Consolidants on the Micromechanical Properties of Archaeological Wood From “Xiaobaijiao Ⅰ” Shipwreck by Infrared Spectroscopy and Thermogravimetric Analysis
Liu-yang HAN, Xiang-na HAN, Xing-ling TIAN, Hai-bin ZHOU, Ya-fang YIN, and Juan GUO
Waterlogged wooden cultural relics have been constantly excavated and preserved, driven by increasing public interest and upgrading archaeological technologies. Wood cells' morphology and chemical structure from waterlogged wooden relics normally undergo non-uniform degradation or changes, presenting a different “n
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1529 (2022)
Determination of Lead and Arsenic in Soil Samples by X Fluorescence Spectrum Combined With CARS Variables Screening Method
Xiao-yu JIANG, Fu-sheng LI, Qing-ya WANG, Jie LUO, Jun HAO, and Mu-qiang XU
As a quantitative analysis technique based on stoichiometry, X-ray fluorescence spectroscopy is very important to the prediction accuracy of the results. The competitive adaptive reweighted algorithm (CARS) adopted adaptive reweighted sampling technology and used interactive verification to select the lowest value squa
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1535 (2022)
Study on Infrared Spectral Detection of Fuel Contamination in Mobil Jet Oil II Lubricating Oil
Yan-ru WANG, Hai-jun TANG, and Yao ZHANG
Given a series of problems such as unplanned shutdown and flight failure caused by the fuel contamination of aviation engine lubricating oil, it is necessary to monitor the lubricating oil in use to determine the right time to change all lubricating oil. In this paper, Spectrum Two infrared spectrometer and Spectrum Qu
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1541 (2022)
Defect Detection and Analysis of Ceramic Fiber Composites Based on THz-TDS Technology
Zhao PAN, Zong-liang LI, Zhen-wei ZHANG, Yin-tang WEN, and Peng-yang ZHANG
Ceramic fiber composite is a new Porous light material composed of short cut silicon oxide fibers and its binder sintered by high temperature. The microstructure characteristics of materials directly affect their macrostructure and functional characteristics. The porosity of this material ranges between 84% and 95%. Th
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1547 (2022)
A Denoising Method Based on Back Propagation Neural Network for Raman Spectrum
Zhong WANG, Dong-dong WAN, Chuang SHAN, Yue-e LI, and Qing-guo ZHOU
As a typical optical detective method, Raman spectroscopy has been widely used in many fields such as biological analysis, disease diagnosis and molecular recognition due to its unique non-invasive, fast, in-situ and extremely high specificity. The fingerprint characteristics of Raman Spectroscopy make it an important
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1553 (2022)
Determination of Net Photosynthetic Rate of Plants Based on Environmental Compensation Model
Cong-cong LI, Qi-wu LUO, and Ying-ying ZHANG
Increasing the photosynthetic rate of crops is one of the reliable methods for high yield breeding. The main method for measuring photosynthesis rate is infrared gas analysis, which owns dependable axiom and mature technology. However, the infrared light source is easily affected by the complex working environment in t
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1561 (2022)
Study on Detection Method of Foxing on Paper Artifacts Based on Hyperspectral Imaging Technology
Ruo-chen DAI, Huan TANG, Bin TANG, Ming-fu ZHAO, Li-yong DAI, Ya ZHAO, Zou-rong LONG, and Nian-bing ZHONG
Affected by preservation conditions, foxing will form on the surface of many paper cultural relics. If effective monitoring and scientific judgment are not carried out, the safety of paper cultural relics will be further affected. For the detection of foxing disease on paper cultural relics, there are problems such as
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1567 (2022)
Crop Disease Recognition Based on Visible Spectrum and Improved Attention Module
Wen-bin SUN, Rong WANG, Rong-hua GAO, Qi-feng LI, Hua-rui WU, and Lu FENG
Automatic identification and diagnosis of crop diseases based on visible spectrum is a challenging research field that agricultural sectors have given great attention. However, the existing research of disease identification based on convolutional neural network is prone to sacrifice network depth for the results of si
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1572 (2022)
A New Method for Direct Measurement of Land Surface Reflectance With UAV-Based Multispectral Cameras
Hua-sheng SUN, Yuan ZHANG, Yun-fei SHI, and Min ZHAO
At present, the multispectral remote sensing data obtained by UAV (Unmanned Aerial Vehicle), have been widely used in the quantitative monitoring of agriculture, forest, environment and other fields. However, the existing methods of converting the multispectral remote sensing data into land surface reflectance still ha
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1581 (2022)
Hyperspectral Indices for Identification of Red Pigments Used in Cultural Relic
De-hui LI, Tai-xia WU, Shu-dong WANG, Zhe-hua LI, Yi-wei TIAN, Xiao-long FEI, Yang LIU, Yong LEI, and Guang-hua LI
Red mineral pigments have been widely used in ancient paintings and ancient buildings by artists. It is of great significance to correctly identify different kinds of red pigments to monitor and restore cultural relics. Traditional pigment identification mainly relies on chemical analysis, which has a slow identificati
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1588 (2022)
Experimental Study on Quantitative Inversion Model of Heavy Metals in Soda Saline-Alkali Soil Based on RBF Neural Network
Yan-hua FU, Jing LIU, Ya-chun MAO, Wang CAO, Jia-qi HUANG, and Zhan-guo ZHAO
Soil is an important part of the natural ecosystem and an important material basis for human survival and agricultural production. With the rapid socio-economic development, the high-intensity industrial and agricultural production activities lead to various pollutants such as heavy metals entering the soil through atm
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1595 (2022)
Hyperspectral Analysis of Milk Protein Content Using SVM Optimized by Sparrow Search Algorithm
Mei-chen LIU, He-ru XUE, Jiang-ping LIU, Rong-rong DAI, Peng-wei HU, Qing HUANG, and Xin-hua JIANG
Milk contains many nutritional elements needed by the human body, such as fat, protein, calcium, etc. Therefore, analysing nutritional elements in milk is a key part of milk safety detection. Hyperspectral technology can effectively identify nutritional elements in milk by combining image and spectral data. In order to
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1601 (2022)
Relationships Between the Leaf Respiration of Soybean and Vegetation Indexes and Leaf Characteristics
Jin WANG, Shu-tao CHEN, Si-cheng DING, Xue-wen YAO, Miao-miao ZHANG, and Zheng-hua HU
A field experiment was performed to investigate the relationships between the leaf respiration of soybean and vegetation indexes and leaf characteristics. The respiration and respiration coefficient of the first, second and third leaves from the top at the different growth stages were measured. The normalized differenc
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1607 (2022)
Developing of Local Model From Soil Spectral Library With Spectral Dissimilarity
Qing-qing PENG, Song-chao CHEN, Ming-hua ZHOU, and Shuo LI
It is vital to understand the characteristics of soils and their distribution in space and over time. Spectroscopy in the visible-near-infrared (Vis-NIR) can estimate soil properties (e.g., SOC). Compared with traditional laboratory physical and chemical analysis, spectral technology enables the practical acquisition o
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1614 (2022)
Comparison of Machine Learning Algorithms for Remote Sensing Monitoring of Rice Yields
Xia JING, Jie ZHANG, Jiao-jiao WANG, Shi-kang MING, You-qiang FU, Hai-kuan FENG, and Xiao-yu SONG
Rice is China's major grain food crop, grown mainly in the Yangtze River valley and southern China and on the Yunnan-Guizhou Plateau. The use of hyperspectral remote sensing technology to monitor rice yield before it matures is important. It can promptly adjust cultivation management methods and guide reasonable fe
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1620 (2022)
Influence Mechanism of the Iron-Rich Raw Material on the Iron-Based Crystalline Glazes
Pei SHI, Zhi-wei JIN, Fen WANG, Hong-jie LUO, Jian-feng ZHU, Guo-zhen YE, and Yu-feng ZHANG
Black glazed ware is one of the most common varieties in the colored glazed ware of ancient China. Due to the easy availability of raw materials, it is fired everywhere, especially in the Song Dynasty. At present, α-Fe2O3, ε-Fe2O3, Fe3O4 has been found in ancient black glazes, but there are few reports on the influence
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1628 (2022)
Infrared Spectral Fitting Analysis of Barium Ferrite Precursor in High Energy Ball Milling Process
Shi-wen YI, Jie LI, Jing-xuan WU, Wen-hao ZHANG, Peng ZU, Min LI, and Jia-wei LIN
High energy ball milling method was a common method in the process of material preparation, which produced crystal vacancy defects through the material running with high speed to achieve the doping of elements, so the chemical adsorption or chemical reaction has occurred. New phase formed, and it has a great impact on
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1634 (2022)
Characterization and Analysis of Dissolved Organic Matter in Different Types of Natural Water in Wuhan by Three-Dimensional Fluorescence Spectra
Lu BAI, Xiong XU, Quan-zhen LIU, Yan-jun DU, and Dong-hong WANG
Based on three-dimensional excitation-emission matrix spectroscopy (3D-EEMs), combined with regional fluorescence integration (FRI) and characteristic fluorescence parameters, the spectral characteristics of dissolved organic matter (DOM) in four different types of natural water in Wuhan were studied. Meanwhile, the re
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1642 (2022)
The Effect of Oil-in-Water on the Upward Radiance Spectrum in Seawater
Jun-jie YANG, Miao-fen HUANG, Wei-jian LUO, Zhong-lin WANG, and Xu-feng XING
Currently, oil slick detection at a large scale by remote sensing is widely concerned. However, oil-in-water, which is subject to seawater and chemical dispersant's physical process, can also harm marine environment and organisms. The upward radiance of seawater is the key signal of watercolor sensors, so finding t
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1648 (2022)
Experimental Investigation on Hydrocarbon Diffusion Flames: Effects of Combustion Atmospheres on Flame Spectrum and Temperature
Guang-tong TANG, Hui-bo YAN, Chao-yang WANG, Zhi-qiang LIU, Xin LI, Xiao-pei YAN, Zhong-nong ZHANG, and Chun LOU
Radiative heat transfer is the main mode of heat transfer in various combustion processes. The distribution of radiative spectra is complicated for different flames. In this work, the spectral intensities of a hydrocarbon diffusion flame invisible (200~900 nm), near-infrared (900~1 700 nm) and middle-infrared (2 500~5
Spectroscopy and Spectral Analysis
  • Publication Date: May. 01, 2022
  • Vol. 42, Issue 5, 1654 (2022)