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2021 Vol. 42, No. 9
Published: 2021-09-28
 
1121 Research on the Flux Linkage Difference Measurement Method for Synchronous Measurement Based Joule Balance
QIAN Lu-shuai,LI Zheng-kun,BAI Yang,XU Jin-xin,ZHAO Wei,ZHANG Zhong-hua
DOI: 10.3969/j.issn.1000-1158.2021.09.01
The joule balance method is a quantized definition of the unit of mass research programme, in which the flux linkage difference measurement is a core part during the measurement process of joule balance, and its basic principle is the integral measurement of coil induced voltage over time. The joule balance is a method independently proposed in China to realize the quantized definition of the unit of mass. The flux linkage difference measurement is a core part during the measurement process of joule balance, whose basic principle is the integral measurement of coil induced voltage over time. When the original flux linkage difference measurement method based on the digital integration principle is applied to the synchronous measurement process of joule balance, it is difficult to overcome the intrinsic weakness of the data acquisition card so that it cannot achieve the 10-8 magnitude of relative standard uncertainty. Therefore, a new method based on the dual-slope integration ADC is proposed to achieve the analog integral measurement. With the continuously analog integrating measurement characteristic of the dual-slope integration based ADC, the measurement error introduced by the level holding sampling process in the original method is eliminated. The measurement dead-zone introduced by ADC digital quantization is removed by the successive triggered measurement of multiple parallel ADCs. The measurement dispersion introduced by the accumulation of time-varying noise is suppressed by the time-shared noise zeroing of multiple ADCs. The test results show that after applying the above method in the synchronous measurement process, the relative standard uncertainty of flux linkage difference measurement is suppressed from 10-6 to 1.7×10-8.
2021 Vol. 42 (9): 1121-1127 [Abstract] ( 330 ) HTML (1 KB)  PDF (4508 KB)  ( 309 )
1128 Kinematics Calibration of Industrial Robot Fusing Weighted SVD Algorithm
BAN Zhao,REN Guo-ying,WANG Bin-rui,CHEN Xiang-jun,XUE Zi,WANG Ling
DOI: 10.3969/j.issn.1000-1158.2021.09.02
Aiming at the problem that the gross error of measurement introduced by environmental or human factors has a great influence on the conversion of measurement coordinate system and base coordinate system of robot, a method is proposed that the singular value decomposition (SVD) algorithm is improved and applied to the robot kinematics calibration. Taking ABB-IRB2600 robot as the research object, modified D-H (MD-H) kinematics model and error model were established. The position coordinates of the target sphere at the end of robot were measured by the laser tracker. In the SVD algorithm, the weight of the measured data was redistributed according to the position error before compensation, and the measurement coordinate system and the robot base coordinate system were converted. Levenberg-Marquardt (L-M) algorithm was used to identify the error parameters, and 25 kinematic parameters of the robot were simulated and compensated in Matlab. Simulation and experimental results show that the weighted SVD algorithm has better stability and can reduce the impact of gross errors. After calibration, for the average absolute error of the robot is reduced by 65.10% and the root mean square error by 65.85%, and its absolute positioning accuracy is obviously improved after calibration.
2021 Vol. 42 (9): 1128-1135 [Abstract] ( 221 ) HTML (1 KB)  PDF (2623 KB)  ( 901 )
1136 Humanoid Robot Motion Imitation Based on Human Posture Recognition
ZHU Qi-guang,DONG Hui-ru,ZHANG Meng-ying
DOI: 10.3969/j.issn.1000-1158.2021.09.03
Based on imitation learning and human-computer interaction technology, Kinect depth camera sensor is used to study the upper body motion imitation of humanoid robots. Firstly, the modified D-H model is applied to the arms of the NAO robot to complete the accurate establishment and solution of the kinematics model of the arms, and solve the singularity problem when two adjacent joints are parallel. Secondly, an improved gesture recognition algorithm based on depth image is proposed, which judges and imitates the gestures of the teacher. Compared with the traditional gesture recognition based on color image, it is not affected by light and improves recognition accuracy of the system and the average recognition accuracy of the improved algorithm reaches 96.2%. Finally, the experiments using the NAO robot as a test platform show that the system enables the NAO robot to simulate the upper body movements of the teacher in real time, with smooth and stable motion trajectory, and it also shows good accuracy in the grasping experiment.
2021 Vol. 42 (9): 1136-1141 [Abstract] ( 276 ) HTML (1 KB)  PDF (2212 KB)  ( 606 )
1142 Error Analysis Methodology for Indoor Baseline Field Based on Optical Path Folding
CAI Qing-mei,ZHAO Mei-rong,LIU Hong-guang,ZHENG Ye-long,ZHANG Han-li,SONG Le
DOI: 10.3969/j.issn.1000-1158.2021.09.04
In order to effectively carry out indoor verification of long-distance photoelectric distance measuring instruments, an indoor virtual baseline field was built based on the principle of folding optical path with a group of plane mirrors. The measurement error of the baseline system was analyzed. Considering the adjustment accuracy of various errors, the analysis results were applied to the actual optical path adjustment process. Through the analysis, the errors which have more significant effect on the baseline length were obtained, and they were controlled and adjusted to improve the adjustment accuracy of the parallelism of the measuring optical path. Finally, a dual frequency laser interferometer was used to provide reference length value to carry out the verification experiment. The experimental results show that double optical path multiplication can be achieved by optical path folding method, and the baseline system has high accuracy and can be used for continuous measurement, effectively solving the technical problems of low detection efficiency and poor repeatability in the process of indoor baseline establishment.
2021 Vol. 42 (9): 1142-1148 [Abstract] ( 249 ) HTML (1 KB)  PDF (1648 KB)  ( 168 )
1149 Application of Improved Encapsulated Fixed Point Blackbody in Radiation Thermometry
LIU Yu-sheng,CAI Jing
DOI: 10.3969/j.issn.1000-1158.2021.09.05
In order to prolong the service life of the fixed point blackbody and simplify the use process, based on the design and use experience of the heat pipe blackbody and the traditional graphite crucible blackbody, an improved package fixed point blackbody was developed. The second-class standard platinum resistance and transfer radiation thermometer are used to carry out the reproduction tests of the tin fixed-point blackbody. After more than 20 cycles of melting and freezing, there is no rupture and metal leakage in the improved encapsulated fixed point blackbody. The average value of multiple tests is 231.909℃, with the help of the standard platinum resistance thermometer, and the expanded uncertainty is 0.015℃(k=2). While with the fixed point blackbody used to calibrate the transfer radiation thermometer, the average value of multiple tests is 231.85℃, and the expanded uncertainty is 0.096℃(k=2).
2021 Vol. 42 (9): 1149-1154 [Abstract] ( 211 ) HTML (1 KB)  PDF (2004 KB)  ( 260 )
1155 An Optimized Algorithm for Image Reconstruction of Electrical Capacitance Tomography
ZHANG Li-feng,ZHANG Ming
DOI: 10.3969/j.issn.1000-1158.2021.09.06
An image reconstruction algorithm based on optimization algorithm for electrical capacitance tomography (ECT) is proposed. In order to approximate the regularization minimization problem, the traditional regularization algorithm is transformed into the least squares problem by the lp-norm, and the iterative calculation is performed by the re-weighting method. Simulation experiment and static experiment is carried out for oil-gas two-phase flow model. The presented optimization reconstruction algorithm is compared with the commonly used LBP, Landweber iteration and Tikhonov regularization algorithm. The results show that lower image relative error and obviously improved shape fidelity of the reconstructed images can be obtained using the presented algorithm for the flow patterns which contain the object in the center of the pipe or many objects in the pipe.
2021 Vol. 42 (9): 1155-1159 [Abstract] ( 243 ) HTML (1 KB)  PDF (1501 KB)  ( 166 )
1160 Development of Electromagnetic Water Meter Transmitter Based on Intermittent Excitation and Signal Reconstruction
YU Xin-long,XU Ke-jun,XU Wei,WU Jian-ping,Yan Xiao-xue
DOI: 10.3969/j.issn.1000-1158.2021.09.07
To meet the requirements of low power consumption of electromagnetic water meters, an intermittent excitation method was proposed, and three-value wave excitation was performed every cycle. In response to the requirements of electromagnetic water meters to achieve a very low measurement lower limit under the condition of a small excitation current and a very weak sensor output signal, a processing method of signal reconstruction filtering was proposed to reconstruct the amplitude demodulated signal into a rectangular wave signal, so as to facilitate the comb band-pass filtering of the signal, thereby ensuring the measurement accuracy of electromagnetic water meters. The transmitter based on the MSP430 low-power MCU was developed and the water flow calibration experiments were carried out. The results show that the system can meet the measurement accuracy of the first-class water meter, and the lower limit of flow measurement can reach 0.4m3/h, and the turn-down ratio can reach 400.
2021 Vol. 42 (9): 1160-1166 [Abstract] ( 186 ) HTML (1 KB)  PDF (486 KB)  ( 170 )
1167 Research on Small Flow Verification Method of Water Meter Based on Machine Vision
LIN Ke-nan,ZHUANG Yuan,HUANG Yong-mei
DOI: 10.3969/j.issn.1000-1158.2021.09.08
In the view of the current water meter small flow verification time is long,the manual reading is not accurate and other reasons, a verification method of water meter in small flow based on machine vision is proposed. The plum blossom rotor image of water meter is acquired by industrial camera with adaptive sampling frequency. According to the theory of image overlap, the image of the rotor at the beginning of the verification is used as the background, and the subsequent images overlap on this background. During the rotation of the rotor, the number of rotating teeth is counted from the periodic changing of the percent of white and black areas in the overlap image. The indicated volume of the water meter is obtained by the pulse equivalent with the double-time method. Liquid flow standard device is used to calibrate water meter with the actual volume got by the weighing tank through static mass method. The error of water meter can be calculated. The experimental results manifest that the result obtained by this verification method is consistent to the manual reading with shorten verification time and less water in small flow. The method can solve the reading interference from bubbles, and the verification efficiency can be improved.
2021 Vol. 42 (9): 1167-1171 [Abstract] ( 202 ) HTML (1 KB)  PDF (1139 KB)  ( 243 )
1172 Hierarchical Random Sampling Weak Random RRT Algorithm and Application for Motion Planning of Mobile Robot
ZHENG Wei,ZHANG Tao,WANG Hong-bin,TIAN Ya-jing,WANG Hong-rui
DOI: 10.3969/j.issn.1000-1158.2021.09.09
Aiming at the problems of rapid expansion random tree (RRT) has low sampling efficiency and large amount of node searching for nearest node, and nonlinear feedback controller is not subject to the dynamic constraints of the system model in mobile robots motion planning. A new weak RRT based on hierarchical random sampling and expansion is proposed, and a fast limiting amplitude nonlinear feedback controller is designed to ensure the robot can satisfy the dynamic constraints of the system model during the motion planning. Firstly, nodes to be expanded set are established at the beginning of the iteration in conjunction with the node evaluation strategy. Secondly, the nodes to be expanded are selected according to the prescribed order and the expansion direction is randomly selected, then the calculated new child node is connected to the random tree to complete the expansion. Thirdly, the initial path is planned by calculating the control sequence and posture of the path point of the mobile robot via the fast limiting amplitude nonlinear feedback controller to realize the motion planning of the mobile robot. Finally, the effectiveness of the proposed algorithm is verified through the simulations. The RRT based on hierarchical random sampling and expansion doesn’t depend on the selections of the nearest node, which reduces the solving solutions time of the RRT and increases the iteration speed.
2021 Vol. 42 (9): 1172-1181 [Abstract] ( 227 ) HTML (1 KB)  PDF (5389 KB)  ( 246 )
1182 Research on the Method of Small Capacity Measurement Based on Time Domain Spectrophotometry
LIU Xin-xing,ZHANG Dian-long,ZHANG Jing-yue,SUN Bin,TONG-Lin,ZHAO Yu-xiao,ZHONG Jia-dong
DOI: 10.3969/j.issn.1000-1158.2021.09.10
In order to adapt to the current situation of the application of micro capacity and realize the on-line measurement of micro capacity, a micro capacity detection method based on time-domain spectrophotometry is studied. Based on the relationship between the absorbance of solution and the concentration of solution, this method reduces the influence of the processing error of the experimental consumables through the dual wavelength measurement. Based on the time-domain spectroscopic mode, the grating spectrophotometer is used to separate the monochromatic light from the polychromatic light source in the time domain, and then the detector detects the change of the absorbance of solution. Finally, the volume of solution is calculated. At the same time, the actual solution with different concentration can be prepared many times of measurement, to improved the utilization rate of experimental consumables. At 100μL and 50μL, the measurement value of liquid capacity is 99.67μL and 50.11μL, respectively, and the repeatability is 0.35% and 1.22%. Compared with the traditional gravity method, the same conclusion is obtained, which proves the feasibility of the micro capacity measurement method based on time-domain spectrophotometry.
2021 Vol. 42 (9): 1182-1186 [Abstract] ( 239 ) HTML (1 KB)  PDF (985 KB)  ( 145 )
1187 Low-frequency Calibration of Sensitivity of Large-planar Hydrophones in Dynamic Environment of Pressure and Temperature
TONG Hao-yang,YI Yan,LI Shui,CHEN Yi,ZHAO Han
DOI: 10.3969/j.issn.1000-1158.2021.09.11
In view of the lack of sensitivity calibration means of low-frequency large-planar hydrophone in variable temperature and pressure environment, a semi-traveling-wave tube method is proposed. By controlling the transducers at the extremes of the tube, a traveling-wave champ is generated on one side of the hydrophone. On the other side, there is a standing-wave champ. The general expression of the sensitivity is deduced. Under normal temperature and pressure, the calibration results are in good agreement with the traditional low-frequency calibration method, which proves that this method can effectively calibrate the sensitivity of large-planar hydrophone. The calibration results of hydrophone sensitivity under different temperature and pressure environment show that this method is feasible to calibrate hydrophone under variable temperature and pressure, and provides a method for the calibration of hydrophone sensitivity in larg-planar. The uncertainty of measurement is evaluated, the expanded uncertainty is 3dB.
2021 Vol. 42 (9): 1187-1192 [Abstract] ( 204 ) HTML (1 KB)  PDF (1776 KB)  ( 300 )
1193 Parameter Identification and Verification of Improved J-A Hysteresis Model of GMM Based on PSO Algorithm
TENG Feng-cheng,WANG Shan-shan,YANG Xue-fan,L Deng-yan
DOI: 10.3969/j.issn.1000-1158.2021.09.12
In order to solve the hysteresis nonlinearity of GMM-FBG current sensor, an improved J-A model for low frequency (<120Hz) based on the classical J-A hysteresis model was proposed. The improved J-A model was identified and optimized by using particle swarm optimization (PSO) algorithm segmentedly, which improved the prediction accuracy of the model. The corresponding experimental platform of GMM-FBG AC current sensing system was built. The improved J-A model was used to conduct hysteresis modeling and experiment verification of GMM-FBG current sensor. The experimental and simulation results confirm that the model has good predictability. The prediction error of the model is less than 2.5%, and the current measurement sensitivity of the sensing system reaches 0.067nm/A.
2021 Vol. 42 (9): 1193-1199 [Abstract] ( 240 ) HTML (1 KB)  PDF (2768 KB)  ( 201 )
1200 Induction Ratio Bridge Balance Method-based Synchro/resolver Standard Calibration Device
JIN Hai-bin,LI Xiao-zhou,WANG Qian-juan,HU Bei-bei,YOU Li
DOI: 10.3969/j.issn.1000-1158.2021.09.13
In order to meet the demand of synchro/resolver electrical angle quantity traceability in industrial automation and defense military field, a calibration method based on multi-disk induction ratio and bridge balance principle is proposed and a calibration device is formed for synchro/resolver electrical angle. The standard values of synchro/resolver electrical angle is obtained by the quasi-voltage balance of the bridge and the unbalanced error voltage resolving method, and realizes the calibration of 0 ° ~ 360 ° electric angle in synchronous and decomposition modes through relatively simple wiring mode. The uncertainty of the electrical angle calibration device in the synchronous mode is evaluated, the uncertainty reached 0.00013°(0.47″). The method has the characteristics of high accuracy, simple operation and fast measuring speed, and the synchro/resolver electric angle value is traced to the induced voltage ratio standard.
2021 Vol. 42 (9): 1200-1205 [Abstract] ( 222 ) HTML (1 KB)  PDF (854 KB)  ( 187 )
1206 Parameter Identification of Battery Based on IALO Algorithm
WU Zhong-qiang,WANG Guo-yong,XIE Zong-kui,LU Xue-qin,HE Yi-lin
DOI: 10.3969/j.issn.1000-1158.2021.09.14
A reasonable equivalent circuit model and accurate model parameters have an important impact on the accurate estimation of the battery SOC. Aiming at the third-order Thevenin equivalent circuit model of battery, a parameter identification method based on ant lion optimization algorithm was proposed. The introduction of chaotic logistic map initialization could make the initialization population spread over the solution space, which was beneficial to find the global optimal solution. The introduction of adaptive inertia weight and random Cauchy mutation strategy could effectively improve the convergence speed of the algorithm. Elite reverse learning strategy was introduced to effectively improve the diversity of population and avoid the algorithm trapping into local optimal solution. The test results of five test functions showed that compared with ant lion optimization algorithm, particle swarm optimization algorithm and salp optimization algorithm, the improved ant lion optimization algorithm had the faster convergence speed and higher accuracy. The parameter identification of third-order Thevenin equivalent circuit model of battery showed that the improved ant lion optimization algorithm had the higher identification accuracy than ant lion optimization algorithm.
2021 Vol. 42 (9): 1206-1213 [Abstract] ( 230 ) HTML (1 KB)  PDF (1305 KB)  ( 251 )
1214 Event Separation and Synthesizing and Localization Method on a Complex Waveform
LIANG Zhi-guo,LIU Yuan,HE Zhao,ZHANG Yi-chi,WU Ya-hui
DOI: 10.3969/j.issn.1000-1158.2021.09.15
Aiming at the analysis and calibration of complex signal waveforms, a complex signal waveform decomposition and synthesis method based on waveform events is proposed. First, the waveform events are classified into periodic events and non-periodic events. For periodic events, they are decomposed in order from high amplitude to low amplitude, simplifying complexity and reducing the complexity and technical difficulty of complex waveform analysis. After decomposition of the periodic event, the rest is a non-periodic event, including single event and random event. By decomposing complex waveforms by event, the accurate positioning of each event on the complex waveform can be obtained, and the effective separation of each event from the parent waveform can be achieved. By the experiments and analysis on a set of complex signal waveforms based on disturbed sine waves, both the effectiveness and feasibility of the method described in the article are verified.
2021 Vol. 42 (9): 1214-1219 [Abstract] ( 204 ) HTML (1 KB)  PDF (938 KB)  ( 342 )
1220 Research on Measurement of Demodulation Loss in Communication System
YU Qing-hua,CONG Bo,QIU Bin,SUN Jian,WANG Zhi-hu,DING Feng-hai
DOI: 10.3969/j.issn.1000-1158.2021.09.16
To solve the problem of incorrect quotation of Bit Error Rate(BER) in theory and misuse the length of testing codes within guaranteed confidence level in demodulation loss tests, the theory BER of some kinds of modulation are analyzed and listed, and the relationship of testing length of codes and the confidence level in BER tests are derived (within 0.99 confidence level,136/Pe codes must be tested, Pe is the maxim BER the system can tolerate). Experiments are performed, results show that incorrect quotation of BER in theory of BPSK and CPFSK may cause errors of 0.7dB and 1.0dB separately which is comparable with demodulation loss itself; and under the same modulation and the same EbN0 input, the repeatability of demodulation loss using 136/Pe is 0.08dB, which is 4 times better than using 10/Pe.
2021 Vol. 42 (9): 1220-1224 [Abstract] ( 226 ) HTML (1 KB)  PDF (630 KB)  ( 430 )
1225 Internal Groove Defect Detection Method of Brake Master Cylinder Based on FCOS Neural Network
WANG Zhi-wei,GUO Bin,HU Xiao-feng,LUO Zai,DUAN Lin-mao
DOI: 10.3969/j.issn.1000-1158.2021.09.17
Aiming at the difficulties of complicated interference factors and low detection accuracy in the detection of groove defects in the main cylinder, a detection algorithm for groove defects in the main cylinder based on full convolution single stage neural network (FCOS) was proposed. FPN network was used for feature extraction and pixel by pixel prediction, and the predicted results were classified to realize automatic detection of groove defects. The experimental results show that the mAP values of FCOS network in detecting the sand hole, scratch and vibration pattern in the inner groove of the main cylinder are 85.2%, 87.5% and 90.1%,and the detection accuracy is 0.98, 0.89 and 0.95. Finally, the experimental results were compared with those of the Mask R-CNN network and Faster R-CNN network. FCOS network had higher accuracy, significantly shortened learning time and satisfied real-time detection requirements.
2021 Vol. 42 (9): 1225-1231 [Abstract] ( 229 ) HTML (1 KB)  PDF (2819 KB)  ( 256 )
1232 Calibration of Well Type Ionization Chamber Instruments with High-dose-rate After-loading 192Ir Source
WANG Ji,WU Qin-hong,ZHAO Liang,Lü Ya-zhu,WANG Jun-liang,YANG Xiao-yuan,WANG Pei-wei
DOI: 10.3969/j.issn.1000-1158.2021.09.18
There is an urgent need for traceability of the reference air kerma rate for the 192Ir source for high-dose-rate after-loading. Referring to the international general practice, the calibration factor of the 192Ir gamma ray is derived from the calibration factor of air kerma of finger ionization chamber under 60Co gamma ray and 250kV X-ray, so as to determine the standard value of the 192Ir gamma ray reference air kerma rate, and then the calibration of reference air kerma rate of well type ionization chamber is completed. The results show that the uncertainty of the 192Ir gamma ray reference air kerma rate is 3.6%, and that of calibration factor of well type ionization chamber is 3.8%.
2021 Vol. 42 (9): 1232-1236 [Abstract] ( 256 ) HTML (1 KB)  PDF (826 KB)  ( 215 )
1237 Research on Calibration Method of X-ray Environmental Radiation Monitoring Instrument
SONG Fei,ZHAO Rui,DING Wei-cheng,ZHANG De-liang,YANG Yang,WU Jin-jie
DOI: 10.3969/j.issn.1000-1158.2021.09.19
As a measuring instrument for weak radioactivity monitoring, the traceability of the environmental monitoring is an urgent problem to be solved. Because the environmental radiation dose rate is low and the ionization signal is weak, it is usually measured by large volume ionization chamber or charging pressure ionization chamber. On the based of primary standards of 60~250kV X-ray air kerma and absolute measurement of the air kerma under the narrow spectrum series X-ray radiation quality, radiation environmental monitoring instruments were calibratied by successive substitution method. The uncertainty of measurement measurement result is better than 5.6%(k=2). It realize the traceability of environmental level X-ray air kerma measurement, and provide metrological support for the performance evaluation of environmental radiation monitoring instruments at low dose rate level.
2021 Vol. 42 (9): 1237-1243 [Abstract] ( 241 ) HTML (1 KB)  PDF (602 KB)  ( 538 )
1244 Application of SVM Based on Grey Wolf Optimizer in Measurement Error Analysis of Infrared Methane Sensor
CHEN Hong-yan,LIU Jia-hao,SHENG Wei-ming,HUANG Han,ZHAO Yong-jia
DOI: 10.3969/j.issn.1000-1158.2021.09.20
A SVM regression model based on grey wolf optimization (GWO) algorithm was proposed to solve the problem of low prediction accuracy when the traditional support vector machine (SVM) regression model was applied to measurement data processing of infrared methane sensor. Based on the traditional support vector machine, the model used the grey wolf optimization algorithm to adaptively search the feature space to select the best feature combination. After cyclic comparison, the model could quickly and accurately search for the optimal penalty factor C and gamma parameters. After the measurement of standard methane gas in the concentration range of 0～5.05% with the infrared methane sensor developed in the laboratory, three SVM regression models were established and compared. The results showed that the support vector machine regression model established by the grey wolf optimization algorithm had the smaller absolute and relative errors and the higher accuracy.
2021 Vol. 42 (9): 1244-1249 [Abstract] ( 215 ) HTML (1 KB)  PDF (2274 KB)  ( 267 )
1250 Evaluation of Uncertainty in Determination of Total Residues of Ribavirin and its Metabolites in Eggs by LC-MS/MS
LI De-heng,LU Jing-fang,ZENG Jin-lin,YIN Dan-han,LI Gao-tian
DOI: 10.3969/j.issn.1000-1158.2021.09.21
In order to improve the accuracy of egg safety inspections test results, the uncertainty determination of total residues of ribavirin and its metabolites in eggs was evaluated by LC-MS/MS. According to the method of national standard SN/T 4519—2016 "Determination of ribavirin residue in foodstuffs of animal origin for export LC-MS/MS methods", the whole experimental process was evaluated. The main sources of uncertainty in evaluation process were the measurement repeatability, recovery rate, the weighting of sample, dilution and constant volume in sample pretreatment, preparation of standard solution, the standard curve fitting process and instrumental analysis. The extended uncertainty was 0.88μg/kg(k=2) when the total residues of ribavirin and its metabolites in eggs was 9.94μg/kg, the standard curve fitting process contributed the most to the uncertainty of measurement result.
2021 Vol. 42 (9): 1250-1256 [Abstract] ( 263 ) HTML (1 KB)  PDF (712 KB)  ( 174 )
1257 Simultaneous Detection of Three Quinolones in Honey Based on Three-dimensional Fluorescence and BLLS/RBL
ZHAO Xing-tao,CHE Xian-ge,WANG Shu-tao,LIU Shi-yu,YUAN Yuan-yuan
DOI: 10.3969/j.issn.1000-1158.2021.09.22
Three kinds of quinolones (fluoroquinoline, enrofloxacin and levofloxacin) in honey were analyzed by three-dimensional fluorescence spectroscopy. The spectra were pretreated to eliminate the second-order Rayleigh scattering and Raman scattering, and the spectral noise was eliminated by wavelet optimization set ensemble empirical mode decomposition (EEMD). The bilinear least square/residual bilinear (BLLS/RBL) algorithm was used to detect the samples before and after pretreatment. The results show that after pretreatment, the spectrum of each component in the sample can be accurately resolved, and it has a high similarity with the original spectrum. In the quantitative analysis, the predicted average recovery (RA) of fluoroquinoline, enrofloxacin and levofloxacin is 94.99%, 100.20%, 103.20% respectively, the root mean square error (RMSE) is 4.03, 0.21, 0.29μg/L respectively, the sensitivity (SL) is 3.2×103, 3.5×104, 3.3×104μg/L, respectively; and the detection lower limit (Lout) is 2.08, 0.18, 0.19μg/L respectively, which are superior to the results without pretreatment.
2021 Vol. 42 (9): 1257-1264 [Abstract] ( 233 ) HTML (1 KB)  PDF (3852 KB)  ( 156 )
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