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25 January 2019, Volume 39 Issue 1

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A method of interval-valued intuitionistic fuzzy multiple attribute decision-making under unknown attribute weight

GUO Zixue, LIN Peng

2019, 39(1):  1-5.  DOI: 10.3969/j.issn.1000-1565.2019.01.001

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Aiming at the multi-attribute decision making problem with unknown attribute weight under interval intuitionistic fuzzy information environment, a new decision making method is proposed. On the basis of reviewing relevant basic theoretical knowledge, the scoring function and precision function of interval intuitionistic fuzzy number are defined, and the method of determining attribute weight based on maximizing deviation is proposed. Then, a multi-attribute decision making method with interval intuitionistic fuzzy information based on the interval intuitionistic fuzzy weighted averaging operator is proposed. Finally, the method is applied to the evaluation of the effectiveness of emergency plans and its effectiveness is illustrated by a numerical example.

Lie symmetries and conserved quantities based on the variational integrators for the nonconservative Hamiltonian systems

XIA Lili, GUO Zhongjin, ZHANG Wei

2019, 39(1):  6-10.  DOI: 10.3969/j.issn.1000-1565.2019.01.002

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The difference equations and the energy equation of the nonconservative Hamiltonian systems are proposed by introducing the discrete difference variational principle.The structure-preserving algorithms are proposed for these equations.The discrete determining equations of the Lie symmetries are obtained. The conserved quantities of the systems are given through the discrete Noether theorem. An example is given to illustrate the results.

Application of Gray-Markov model in prediction of bridge operation condition

LIU Libo,PEI Yu,PEI Tongsong

2019, 39(1):  11-17.  DOI: 10.3969/j.issn.1000-1565.2019.01.003

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In order to obtain a high-precision and high-efficiency method to predict the bridge operating conditions, this paper presents a Gray-Markov GM(1,1)prediction model based on gray theoretical model and modified with Markov chain. This method was applied to test the data of a total of 159 bridges in a certain area of Hebei Province. The results show that based on the bridge data from 2007 to 2016, the average relative error of the Gray-Markov model is -0.11%, and the average relative error of the gray theoretical model is -0.34%, which is obviously improved, and the Gray-Markov model offers more stable data. Using the gray theory model optimized by Markov chain to predict the number of first-class bridges from 2017 to 2019,we can see that the number of the first-class bridges is 49, 39 and 34 respectively. Thus we can see that the Gray-Markov model can provide a more accurate prediction on the basis of known periodic- DOI:10.3969/j.issn.1000-1565.2019.01.003灰色-马尔科夫模型在桥梁运营状况预测中的应用刘历波¹,裴彧²,裴同松³(1.河北工程大学 土木工程学院,河北 邯郸 056038;2.河北交通职业技术学院 土木工程系,河北 石家庄 050035;3.河北交通职业技术学院 电气与信息工程系,河北 石家庄 050035)摘 要:为了找到一种能够精确有效地预测桥梁运营状况的方法,提出一种基于灰色GM(1,1)理论模型并用马尔科夫链修正的灰色-马尔科夫预测模型.结合河北省某地区的159座桥梁数据对该方法进行应用检验,结果表明:灰色-马尔科夫模型预测数据的平均相对误差为-0.11%,相比灰色GM(1,1)理论模型预测数据的平均相对误差-0.34%,在精度上有了明显的提高,而且灰色-马尔科夫模型预测出的数据更加稳定.利用马尔科夫链优化过的灰色GM(1,1)理论模型预测出2017年至2019年该地区一类桥的数量分别为49座、39座以及34座.由此可知灰色-马尔科夫模型在已知的桥梁定期检查数据基础上可以提供较为精确的预测,相较于灰色GM(1,1)预测模型,该方法具有更高的精度和稳定性.关键词:桥梁;灰色GM(1,1)模型;马尔科夫链模型;预测;转移概率矩阵中图分类号:U446 文献标志码:A 文章编号:1000-1565(2019)01-0011-07Application of Gray-Markov model in prediction of bridge operation conditionLIU Libo¹,PEI Yu²,PEI Tongsong³(1.College of Civil Engineering,Hebei University of Engineering,Handan 056038,China; 2.Department of Civil Engineering,Hebei Jiaotong Vocational and Technical College,Shijiazhuang 050035,China;3.Department of Electrical and Information Engineering,Hebei Jiaotong Vocational and Technical College,Shijiazhuang 050035,China)Abstract:In order to obtain a high-precision and high-efficiency method to predict the bridge operating conditions, this paper presents a Gray-Markov GM(1,1)prediction model based on gray theoretical model and modified with Markov chain. This method was applied to test the data of a total of 159 bridges in a certain area of Hebei Province. The results show that based on the bridge data from 2007 to 2016, the average relative error of the Gray-Markov model is -0.11%, and the average relative error of the gray theoretical model is -0.34%, which is obviously improved, and the Gray-Markov model offers more stable data. Using the gray theory model optimized by Markov chain to predict the number of first-class bridges from 2017 to 2019,we can see that the number of the first-class bridges is 49, 39 and 34 respectively. Thus we can see that the Gray-Markov model can provide a more accurate prediction on the basis of known periodic- 收稿日期:2018-01-29 基金项目:河北省高校百名优秀人才计划项目(BR206) 第一作者:刘历波(1979—),男,河北唐山人,河北工程大学副教授,主要从事道路桥梁与集成管理研究.E-mail:liulibo@hebeu.edu.cn 通信作者:裴彧(1993—),男,河北石家庄人,河北交通职业技术学院助教,主要从事道路桥梁研究.E-mail:421380827@qq.com第1期刘历波等:灰色-马尔科夫模型在桥梁运营状况预测中的应用inspection data. Compared with the single gray prediction model, the Gray-Markov model shaws higher accuracy and stability.

Design of grape organic fertilizing machine

WANG Lanying,XU Yang

2019, 39(1):  18-22.  DOI: 10.3969/j.issn.1000-1565.2019.01.004

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Aiming at the problems of poor uniformity,low efficiency and shallow furrow of traditional grape organic fertilizing machine,a new kind of grape organic fertilizing machine was designed.The machine consists of four parts:power transmission system,furrow device,fertilization device and hydrulic device.It can furrow deeply,fertilize and cover soil at one time.The results showed that the variation coefficient of the uniformity of fertilization was 11.96%,the brake rate was 0,the averaged fertilization depth was 44.9 cm,and the averaged distance between the root and the fertilizer was 58.1 cm.

Preparation and Raman spectroscopy of single layer graphene on mica sheet

SUN Hongli, WANG Tengjiao,XU Jun,LI Shuai,WANG Ying, LI Xiaoli,YUAN Xiaoxian

2019, 39(1):  23-28.  DOI: 10.3969/j.issn.1000-1565.2019.01.005

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Raman characterization technique was used to study the properties of a single layer of graphene laid on mica sheet.Single crystal white mica was exposed to heavy ions with irradiation amount of 1×10⁶/cm² for irradiation. HF solution was used to etch the irradiated mica sheet.Hung(holes)and the impending area of graphene was characterized by SEM, and Raman. The experimental results show that after irradiation the mica sheet in HF(40%)with 30 ℃ water bath ultrasonic etching after 20 minutes produces with diamond holes aperture size of about 3 micron.Tile on mica assumes a complete monolayer graphene, graphene partly on the impending area of has cracks, and crack increased with the increase of the aperture and the area. Through Raman microscope detection of monolayer graphene dangling without crack,Raman signals ofthe single layer graphene were obtained. Raman characterization of the biological- DOI:10.3969/j.issn.1000-1565.2019.01.005云母片上单层石墨烯的制备及拉曼光谱研究孙宏丽¹,王腾蛟¹,许军²,李帅¹,王颖¹,李晓莉¹,袁小先(1.河北大学 物理科学与技术学院,河北 保定 071002;2.惠州城市职业学院,广东 惠州 516025)摘 要:采用拉曼表征技术研究了平铺到云母片上单层石墨烯的性质.首先,将单晶白云母暴露在辐照量为1×10⁶个/cm²的重离子中进行辐照,用HF溶液对辐照后的云母片进行蚀刻.之后将CVD(化学气相沉积)法制得的单层石墨烯转移平铺到云母片上,利用SEM、Raman技术对悬空(孔洞之上)及非悬空区域的石墨烯进行分析表征.实验结果表明,辐照后的云母片在HF(体积分数40%)中置于30℃水浴超声蚀刻20 min后产生孔径约为3 μm的菱形孔洞.而平铺在云母上的单层石墨烯样貌完整,部分悬空区域处的石墨烯有所破裂,且破裂面积随孔径增大而增多.利用拉曼电镜对悬空区域进行探测,可以得到仅有单层石墨烯的拉曼信号.采用石墨烯/云母基底对生物探针分子进行拉曼表征,结果显示该基底对探针分子的拉曼信号有增强作用.关键词:云母片;单层石墨烯;拉曼光谱;生物探针分子中图分类号:O433 文献标志码:A 文章编号:1000-1565(2019)01-0023-06Preparation and Raman spectroscopy of single layer graphene on mica sheetSUN Hongli¹, WANG Tengjiao¹,XU Jun²,LI Shuai¹,WANG Ying¹, LI Xiaoli¹,YUAN Xiaoxian¹(1.College of Physics Science and Technology, Hebei University, Baoding 071002, China; 2.City College of Huizhou, Huizhou 516025, China)Abstract:Raman characterization technique was used to study the properties of a single layer of graphene laid on mica sheet.Single crystal white mica was exposed to heavy ions with irradiation amount of 1×10⁶/cm² for irradiation. HF solution was used to etch the irradiated mica sheet.Hung(holes)and the impending area of graphene was characterized by SEM, and Raman. The experimental results show that after irradiation the mica sheet in HF(40%)with 30 ℃ water bath ultrasonic etching after 20 minutes produces with diamond holes aperture size of about 3 micron.Tile on mica assumes a complete monolayer graphene, graphene partly on the impending area of has cracks, and crack increased with the increase of the aperture and the area. Through Raman microscope detection of monolayer graphene dangling without crack,Raman signals ofthe single layer graphene were obtained. Raman characterization of the biological- 收稿日期:2018-06-11 基金项目:国家自然科学基金青年科学基金资助项目(11504077);河北省自然科学基金青年科学基金资助项目(A2017201012);河北省教育厅自然科学重点项目(ZD2017007);河北大学实验室开放项目(SY201637) 第一作者:孙宏丽(1960—),女,蒙古族,内蒙古赤峰人,河北大学正高级工程师,主要从事化学工程方向研究. E-mail:435046657@qq.com 通信作者:袁小先(1985—),女,河北保定人,河北大学实验师,主要从事纳米材料制备及光谱特性研究. E-mail:yuanxiaoxian115@163.com第1期孙宏丽等:云母片上单层石墨烯的制备及拉曼光谱研究probe molecules by using graphene/mica substrate showed that the substrate enhanced Raman signals of the probe molecules.

Simulation research on heat transfer characteristics and resistance characteristics of international chess air heat exchangers

LIU Zeqin,YANG He,LIU Zhe

2019, 39(1):  29-34.  DOI: 10.3969/j.issn.1000-1565.2019.01.006

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The heat transfer and resistance characteristics of the international chess air heat exchangers with different plate spacing are studied by the simulation method of Fluent software. The friction factor f, the heat transfer factor j and the surface power j/f factor are used as the evaluation indexes of the heat exchanger performance, and the optimal plate spacing of the international chess air heat exchanger under the condition satisfying the heat transfer performance is explored. The results showed that the friction factor and heat transfer factorwere decreased with Reynolds number(Re). But the surface power factor j/f had the increasing trend and increased greatly. Through further analysis of the simulation results, it was found that the heat exchanger had better heat transfer characteristics when the plate spacing was 5 mm.

Optimization of near infrared models to predict fat and protein in donkey meat based on support vector regression

NIU Xiaoying, SHAO Limin, JIAO Shenjiang, LI Xiaocan, ZHAO Zhilei

2019, 39(1):  35-40.  DOI: 10.3969/j.issn.1000-1565.2019.01.007

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Donkey meat is of high nutrition value due to its low content of fat and high of protein. Forty fresh donkey meat samples from different individuals and parts were selected. Near infrared(NIR)diffuse reflection spectra with spectral range of 4 000-12 500 cm^-1 were collected. Reference data of fat and protein in donkey meat samples were determined by Soxhlet extraction and Kjeldahl method. Two spectral compression methods of principal component analysis(PCA)and Partial least squares regression(PLSR)were used to compress spectra data of intact and minced samples. Support vector regression(SVR)calibration models were developed with principal component scores(PCs)by PCA and latent variables(LVs)by PLSR respectively, which performances were compared with PLSR models. The optimal models were obtained by SVR with PCs decomposed from spectra of minced samples for fat, and with LVs from spectra of - DOI:10.3969/j.issn.1000-1565.2019.01.007基于支持向量回归的驴肉脂肪和蛋白质近红外检测模型优化牛晓颖¹,邵利敏²,焦慎江¹,李晓灿¹,赵志磊¹(1.河北大学 质量技术监督学院,河北 保定 071002;2.河北农业大学 机电工程学院,河北 保定 071001)摘 要:驴肉的脂肪含量低、蛋白质含量高,是一种营养价值较高的食用肉类.选择了40个不同个体和不同部位的驴肉鲜肉样品,采集了样品在4 000~12 500 cm^-1光谱的近红外漫反射光谱,并使用索氏提取法和凯氏定氮法分别检测了样品的脂肪和蛋白质参考数据.分别使用主成分分析和偏最小二乘回归对肉块和肉糜2种类型的样品光谱数据进行了压缩,结合支持向量回归算法分别建立了驴肉脂肪和蛋白质的定量模型,并与偏最小二乘回归模型进行了性能比较,发现肉糜光谱使用主成分分析降维结合支持向量回归算法所建立的驴肉脂肪模型,以及肉块光谱使用偏最小二乘回归降维结合支持向量回归算法所建立的驴肉蛋白质模型定量结果最优,其交叉验证均方根误差和相对预测误差分别达到了0.058%、14.69以及0.111%、14.39.结果表明,近红外光谱结合主成分分析或偏最小二乘回归降维以及支持向量回归算法所建立的模型预测精度较高,可对驴肉的脂肪和蛋白质含量进行可靠的检测.关键词:驴肉;脂肪;蛋白质;近红外;支持向量回归中图分类号:TS251.7 文献标志码:A 文章编号:1000-1565(2019)01-0035-06Optimization of near infrared models to predict fat and protein in donkey meat based on support vector regressionNIU Xiaoying¹, SHAO Limin², JIAO Shenjiang¹, LI Xiaocan¹, ZHAO Zhilei¹(1. College of Quality and Technical Supervision, Hebei University, Baoding 071002, China; 2. College of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding 071001, China)Abstract:Donkey meat is of high nutrition value due to its low content of fat and high of protein. Forty fresh donkey meat samples from different individuals and parts were selected. Near infrared(NIR)diffuse reflection spectra with spectral range of 4 000-12 500 cm^-1 were collected. Reference data of fat and protein in donkey meat samples were determined by Soxhlet extraction and Kjeldahl method. Two spectral compression methods of principal component analysis(PCA)and Partial least squares regression(PLSR)were used to compress spectra data of intact and minced samples. Support vector regression(SVR)calibration models were developed with principal component scores(PCs)by PCA and latent variables(LVs)by PLSR respectively, which performances were compared with PLSR models. The optimal models were obtained by SVR with PCs decomposed from spectra of minced samples for fat, and with LVs from spectra of - 收稿日期:2017-04-23 基金项目:国家自然科学基金资助项目(31201430);河北省自然科学基金资助项目(C2016201092) 第一作者:牛晓颖(1980—),女,河北清河人,河北大学副教授,博士,主要从事农产品及食品无损检测技术研究.E-mail: xiaoyingniu@126.com第1期牛晓颖等:基于支持向量回归的驴肉脂肪和蛋白质近红外检测模型优化intact samples for protein. The Root Mean Square Error and ratio of prediction to deviation of cross validation were 0.058%, 14.69 for fat; and 0.111%, 14.39 for protein. The results show that fat and protein in donkey meat can be accurately predicted by NIR and SVR with PCA or PLSR as spectral compression methods.

Cobalt ferrite based magnetic solid phase extraction coupled with HPLC for the determination of four kinds of synthetic colourants in fruit and vegetable juices

LI Xinghong, JIANG Jing, YANG Lina, LI Meiting, HE Yifan, ZHANG Hongyi, SHI Zhihong

2019, 39(1):  41-48.  DOI: 10.3969/j.issn.1000-1565.2019.01.008

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A novel magnetic solid phase extraction method based on cobalt ferrite(CoFe₂O₄)as adsorbent was developed for the HPLC determination of tartrazine, sunset yellow, carmine and allure red in fruit and vegetable juice. The magnetic nanoparticles were prepared via solvothermal method and characterized by transmission electron microscope(TEM)and Fourier transform infrared spectrometer(FT-IR). The analytes were adsorbed by the magnetic microspheres due to hydrophobic and electrostatic interaction under acidic condition. Several important parameters affecting the extraction efficiency, such as the type and amount of adsorbent, pH, extraction temperature and time, type and amount of desorption solvent, - DOI:10.3969/j.issn.1000-1565.2019.01.008钴铁氧体磁性固相萃取结合高效液相色谱法测定果蔬汁中4种人工合成色素李兴红,江静,杨莉纳,李美婷,何怡凡,张红医,石志红(河北大学 化学与环境科学学院,河北省分析科学技术重点实验室,河北 保定 071002)摘 要:以钴铁氧体(CoFe₂O₄)作为磁性固相萃取(MSPE)的吸附剂,建立了MSPE-HPLC-UV检测果蔬汁中人工合成色素柠檬黄、胭脂红、日落黄、诱惑红的分析方法. 采用溶剂热法制备了CoFe₂O₄,通过TEM及FT-IR对其进行表征.在酸性条件下,表面呈正电性的CoFe₂O₄与含磺酸基的合成色素主要通过静电作用相互结合,从而实现目标物的萃取. 实验对材料类型和用量、溶液pH值、萃取时间等条件进行了优化. 在最佳条件下,4种色素在0.04~2.0 μg/mL内峰面积与质量浓度呈良好的线性关系,加标回收率在85.6%~106.6%之间,检出限为0.005~0.011 μg/mL. 最终将该方法用于测定果蔬汁中的合成色素,结果表明该方法快速灵敏,回收率较高,适用于实际样品中合成色素的检测.关键词:人工合成色素;钴铁氧体;磁性固相萃取;高效液相色谱法;果蔬汁中图分类号:O658 文献标志码:A 文章编号:1000-1565(2019)01-0041-08Cobalt ferrite based magnetic solid phase extraction coupled with HPLC for the determination of four kinds of synthetic colourants in fruit and vegetable juicesLI Xinghong, JIANG Jing, YANG Lina, LI Meiting, HE Yifan, ZHANG Hongyi, SHI Zhihong(Key Laboratory of Analytical Science and Technology of Hebei Province, College of Chemistry and Environmental Science, Hebei University, Baoding 071002, China)Abstract:A novel magnetic solid phase extraction method based on cobalt ferrite(CoFe₂O₄)as adsorbent was developed for the HPLC determination of tartrazine, sunset yellow, carmine and allure red in fruit and vegetable juice. The magnetic nanoparticles were prepared via solvothermal method and characterized by transmission electron microscope(TEM)and Fourier transform infrared spectrometer(FT-IR). The analytes were adsorbed by the magnetic microspheres due to hydrophobic and electrostatic interaction under acidic condition. Several important parameters affecting the extraction efficiency, such as the type and amount of adsorbent, pH, extraction temperature and time, type and amount of desorption solvent, - 收稿日期:2018-03-21 基金项目:教育部留学回国人员科研启动基金(47批);河北大学研究生创新资助项目(hbu2018ss21);河北大学2018年实验室开放项目(sy201801);河北大学2018年校级大学生创新创业计划训练项目 第一作者:李兴红(1989—),女,河北石家庄人,河北大学在读硕士研究生,主要从事色谱分析研究. E-mail:lixinghong0702@163.com 通信作者:石志红(1968—),女,河北保定人,河北大学教授,博士,主要从事分离科学及食品安全研究. E-mail:shizhihong@hbu.edu.cn第1期李兴红等:钴铁氧体磁性固相萃取结合高效液相色谱法测定果蔬汁中4种人工合成色素were investigated. Under the optimized conditions, good linearity was achieved in the range from 0.04 to 2.0 μg/mL. The limits of detection for the established method were in the range of 0.005~0.011 μg/mL. The recoveries of the four synthetic colourants ranged from 85.6% to 106.6%. The established method has been proven to be successful for the determination of the four synthetic colourants in real samples.

A turn-on fluorescent probe for GSH

MENG Meirong, YIN Caixia

2019, 39(1):  49-55.  DOI: 10.3969/j.issn.1000-1565.2019.01.009

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As we all known that homocysteine(Hcy), cysteine(Cys), and glutathione(GSH)are common biothiols which play a crucial role in the human body. The use of fluorescent probes for detection of biothiols has many advantages, such as high sensitivity, good selectivity, and short response times. Because of the similar chemical structure(containing active sulfhydryl groups)of these biothiols, the selective detection of them is a challenge. In this article, we designed a GSH fluorescent probe(2-methyl, 6-acryloyl quinoline)to distinguish Cys/Hcy. By testing the spectral properties of the probe, we found that the addition of GSH in aqueous solution containing the probe caused a significant change in the fluorescence and UV-visible spectra. After comparing with other analytes, we found that the probe had higher selectivity and sensitivity to GSH in H₂O. In addition, considering that the detection process is performed in the aqueous phase, so the probe has a potential application value in biological imaging.

Geographic origin identification of Ziziphus Jujuba based on anion characteristic analysis

XIA Liya, SHEN Shigang, LI Chao, LIU Xiaohui, LI Yunsi, LI Jiaojiao

2019, 39(1):  56-62.  DOI: 10.3969/j.issn.1000-1565.2019.01.0010

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In order to investigate the possibility of anions on the identification of the geographic origin, the contents of anions in Ziziphus Jujuba and its soil from Huanghua, Zhanhua and Dali were determined by ion chromatography. The data were analyzed by variance, partial correlation analysis, stepwise discriminant analysis(SDA)and radial basis function artificial neural network analysis(RBF-ANN). The results showed that F^-, Cl^-, NO^-₂, PO^3-₄, SO^2-₄ and C₂O^2-₄ were significant differences between the three places, and they significant correlated with soil. In the SDA, the discriminant equation was established by the six anions with strong discriminating ability. The analysis of RBF-ANN further confirmed that the accuracy of model constructed by the six anions was higher than that of all anions. Br^- interfered the model and reduced the accuracy of identification. This study confirmed that the anion binding multivariate statistical- DOI:10.3969/j.issn.1000-1565.2019.01.0010基于阴离子特征分析的冬枣产地鉴别夏立娅^1,2,申世刚¹,李超², 刘晓慧³,李运思², 李姣姣²(1.河北大学 化学与环境科学学院,河北 保定 071002; 2.河北大学 质量技术监督学院,河北 保定 071002; 3. 保定出入境检验检疫局,河北 保定 071002)摘 要:为了考察阴离子用于农产品产地鉴别的可能性,利用离子色谱测定了黄骅、沾化和大荔冬枣及土壤中多种阴离子的含量,并对数据进行了方差分析、偏相关分析、逐步判别分析(SDA)和径向基人工神经网络分析(RBF-ANN). 结果表明,冬枣中F^-、Cl^-、NO^-₂、PO^3-₄、SO^2-₄和C₂O^2-₄在不同产地间存在显著性差异,与土壤中阴离子具有显著相关性.逐步判别分析中,上述6种阴离子的判别能力较强,所建判别方程可以准确地鉴别冬枣的产地.RBF-ANN的分析进一步证实了,6种阴离子所建模型的准确率高于全部阴离子的分析结果,Br^-对产地鉴别有一定的干扰作用,鉴别准确度降低.研究结果证实了阴离子结合统计学算法可以建立有效的冬枣产地鉴别模型,选择合适的产地因子是提高产地鉴别模型准确度的关键步骤.关键词:冬枣;阴离子;偏相关分析;逐步判别;径向基人工神经网络中图分类号:O657.3 文献标志码:A 文章编号:1000-1565(2019)01-0056-07Geographic origin identification of Ziziphus Jujuba based on anion characteristic analysisXIA Liya^1,2, SHEN Shigang¹, LI Chao², LIU Xiaohui³, LI Yunsi², LI Jiaojiao²(1. College of Chemistry and Environmental Science, Hebei University, Baoding 071002, China;2. College of Quality and Technical Supervision, Hebei University, Baoding 071002, China;3. Baoding Entry-exit Inspection and Quarantine, Baoding 071002, China)Abstract:In order to investigate the possibility of anions on the identification of the geographic origin, the contents of anions in Ziziphus Jujuba and its soil from Huanghua, Zhanhua and Dali were determined by ion chromatography. The data were analyzed by variance, partial correlation analysis, stepwise discriminant analysis(SDA)and radial basis function artificial neural network analysis(RBF-ANN). The results showed that F^-, Cl^-, NO^-₂, PO^3-₄, SO^2-₄ and C₂O^2-₄ were significant differences between the three places, and they significant correlated with soil. In the SDA, the discriminant equation was established by the six anions with strong discriminating ability. The analysis of RBF-ANN further confirmed that the accuracy of model constructed by the six anions was higher than that of all anions. Br^- interfered the model and reduced the accuracy of identification. This study confirmed that the anion binding multivariate statistical- 收稿日期:2018-10-01 基金项目:国家自然科学基金资助项目(31501447);河北省自然科学基金资助项目(B2013201235);河北大学实验室开发项目(sy201674) 第一作者:夏立娅(1978—),女,河北邢台人,河北大学教授,博士,主要从事原产地鉴别技术研究.E-mail: xialy@hbu.edu.cn 通信作者:申世刚(1964—),男,河北大学教授,博士生导师,主要从事分析检测技术研究. E-mail: shensg@hbu.edu.cn第1期夏立娅等:基于阴离子特征分析的冬枣产地鉴别methods were effective method to determine geographical origin of Jujube, and the selection of suitable anions was the key step to provide the desired accuracy.

Effects of Rpf factor of Micrococcus luteus on the isolation of soil culturable species

LI Yunqi, WANG Yuhui, LI Xiaojin, SUN Jianpeng, JING Fengxia, ZHANG Xiumin

2019, 39(1):  63-68.  DOI: 10.3969/j.issn.1000-1565.2019.01.011

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Bacteria in three soil samples were isolated by adding Rpf factor from Micrococcus luteus to the medium to understand the effect of Rpf factor on the culturable species diversity. By adding the Rpf factor of M. luteus to the modified VL55 medium, the bacteria were isolated from three soil samples collected from Shanggang Village, Laishui County, Hebei Province, Sanjiangyuan, Qinghai, and Wuliangshan, Yunnan. The phylogenetic analysis of the 16S rRNA gene sequence was carried out on the isolated- DOI:10.3969/j.issn.1000-1565.2019.01.011藤黄微球菌Rpf因子对土壤细菌可培养物种分离效果的影响李云琪,王宇辉,李小锦,孙健鹏,景凤霞,张秀敏(河北大学 生命科学学院,河北省微生物多样性研究与应用重点实验室,河北省微生物育种与保育工程实验室,河北 保定 071002)摘 要:通过培养基添加藤黄微球菌Rpf因子对3份土壤样品中的细菌进行分离以了解藤黄微球菌Rpf因子对细菌可培养物种多样性的影响.通过在改良的VL55培养基中添加藤黄微球菌Rpf因子,对采自河北涞水县上港村、青海三江源和云南无量山3个地区的3份土壤样品进行细菌的分离,并对所分离菌株进行16S rRNA基因序列系统发育分析,分析培养基添加藤黄微球菌Rpf因子对土壤中可培养细菌物种分离效果的影响.结果显示:河北土壤中不添加Rpf因子的对照组分离得到5个属,添加Rpf因子的实验组分离得到8个属;青海土壤中对照组分离得到2个属,实验组分离得到6个属;云南土壤中对照组分离得到6个属,实验组分离得到8个属.表明添加藤黄微球菌Rpf因子的实验组分离得到的微生物物种较对照组丰富. 其中,青海三江源土壤中分离得到的菌株HBUM200161与多食鞘氨醇杆菌(Sphingobacterium multivorum)IAM14316^T亲缘关系最近,16S rRNA基因序列相似性为97.93%,可能为鞘氨醇杆菌属(Sphingobacterium)潜在的新种.关键词:藤黄微球菌;Rpf;细菌;分离中图分类号:Q393.13 文献标志码:A 文章编号:1000-1565(2019)01-0063-06Effects of Rpf factor of Micrococcus luteus on the isolation of soil culturable speciesLI Yunqi, WANG Yuhui, LI Xiaojin, SUN Jianpeng, JING Fengxia, ZHANG Xiumin ( Engineering Laboratory of Microbial Breeding and Preservation of Hebei Province,Key Laboratory of Microbial Diversity Research and Application of Hebei Province,College of Life Sciences, Hebei University, Baoding 071002, China )Abstract:Bacteria in three soil samples were isolated by adding Rpf factor from Micrococcus luteus to the medium to understand the effect of Rpf factor on the culturable species diversity. By adding the Rpf factor of M. luteus to the modified VL55 medium, the bacteria were isolated from three soil samples collected from Shanggang Village, Laishui County, Hebei Province, Sanjiangyuan, Qinghai, and Wuliangshan, Yunnan. The phylogenetic analysis of the 16S rRNA gene sequence was carried out on the isolated- 收稿日期:2018-05-25 基金项目:国家自然科学基金资助项目( 31270053 );河北省自然科学基金资助项目(C2014201141) 第一作者: 李云琪(1993—),女,河北保定人,河北大学在读硕士研究生.E-mail:1139539385@qq.com 通信作者:张秀敏(1970—),女,河北涞水人,河北大学教授,博士,主要从事微生物系统性及多样性研究. E-mail:zhxiumin1106@126.com第1期李云琪等:藤黄微球菌Rpf因子对土壤细菌可培养物种分离效果的影响strains, and the effect of adding Rpf factor to the culture medium on the separation of culturable bacterial species in the soil was analyzed. The results showed that five genera were isolated from the control group in Hebei soil without Rpf factor, and eight genera were isolated from the test group with Rpf factor; two genera were isolated from the control group in Qinghai soil, and six genera were isolated from the test group; in the soil of Yunnan, six genera were isolated from the control group, and eight genera were isolated from the test group. The results show that the microbial species isolated from the test group with M. luteus Rpf added was more abundant than that of the control group. Among them, the strain HBUM200161 isolated from the Sanjiangyuan soil in Qinghai has the closest relationship with Sphingobacterium multivorum IAM14316^T, and the 16S rRNA gene sequence similarity is 97.93%, the strain probably represents a novel species of the genus Sphingobacterium.

Antifungal activity of Nepeta cataria L. against 4 pathogenic fungi isolated from grape

LIU Mingfei, MA Weiwei, HUANG Jingjing, WANG Zhongyue, WANG Junli

2019, 39(1):  69-75.  DOI: 10.3969/j.issn.1000-1565.2019.01.012

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For utilization of the resources of Nepeta cataria, the bioassay of ethanol extract against 4 pathogenic fungi isolated from grapes were carried out by mycelial growth rate method. The results showed that when the concentration of extract was 5.0 mg/mL, the inhibition rate against Coniothyrium diplodiella, Glomerella cingulate, Botrytis cinerea and Aspergillus carbonarius was 94.57%, 70.23%, 71.15% and 26.06%, respectively. The inhibition rate against carbendazim high resistant strains FJND-9, FJND-40 and GZSD-89 of G. cingulate was 64.10%, 68.73% and 72.94%,and the inhibition rate against carbendazim high resistant strains HBLF-10, GXZY-4 and GXZY-7 of B. cinerea was 57.47%, 66.83% and 64.90%, respectively, when ethanol extract was at same concentration. This study provides a basis for the prevention and control of grape diseases using non chemical pesticides.

Preparation and application of liquid strains of Stropharia rugoso-annulata in the development of Typha resources

FU Jingxuan, GENG Danmeng, GAO Hua,WANG Qian

2019, 39(1):  76-79.  DOI: 10.3969/j.issn.1000-1565.2019.01.013

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Typha is rich in dominant plant resources in wetlands, and its waste will cause eutrophication of water bodies. The biotransformation of edible fungi can reduce the damage of water bodies and avoid endogenous pollution of wetlands. Through the liquid fermentation experiment of the rare edible and medicinal fungus Stropharia rugoso-annulata, the vegetative growth experiment of the Typha matrix compatibility and the reproductive growth experiment, the optimum cultivation formula(mass fraction)under the Typha substrate was obtained: 60% of the Typha, 20% cottonseed skin, 10% wattle, 9% bran, 1% quicklime. The preparation method is to crush the Typha into wood chips, with cottonseed, stalks, bran and quicklime. The mass ratio of feed water is 1∶4. It provides a new way for the resource development of dominant aquatic plants in wetlands.

Feeding preference and mating behaviors of Epicauta sibirica(Coleoptera: Meloidae)

ZHANG Hui, LI Yalin, PAN Zhao, REN Guodong

2019, 39(1):  80-85.  DOI: 10.3969/j.issn.1000-1565.2019.01.014

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The feeding preference and mating behaviors of Epicauta sibirica(Pallas, 1773)were analyzed by observation indoors and in the field. Results showed: 1)Glycine max and Solanum tuberosum were the most preferred host plants for adult; 2)Mating behavior of E. sibirica included both courtship and copulation. The courtship behavior is repeated several times in one mating process. Courtship behavior lasted(9.60±1.78)min; the interval between the two behaviors lasted(6.55±1.92)min. The species assumes linear position in the copulation. The copulation behavior occurred at 8:00 to 13:00 mostly and lasted(165.44±14.17)min.

Improvement and parallelism of real-coded genetic algorithm

LIU Zhenpeng, WANG Xuefeng, XUE Lei, ZHANG Bin, ZHANG Shouhua

2019, 39(1):  86-92.  DOI: 10.3969/j.issn.1000-1565.2019.01.015

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Aiming at the shortcoming of the real-coded genetic algorithm, which is easy to fall into local extremum and slow convergence speed, an improved real-coded genetic algorithm is proposed and implemented by GPU-based parallelization. Through four typical genetic algorithm performance test functions, the results show that the improved algorithm can not only effectively jump out of the local extremum, but also accelerate the convergence speed of the algorithm; When solving complex high-dimensional functions, the improved parallel algorithm can significantly reduce the running time of the algorithm.

Multi-feature fusion behavior recognition algorithm based on spatiotemporal weighting

WANG Sile, WANG Mingyu, YANG Wenzhu, CHEN Liping, CHEN Xiangyang

2019, 39(1):  93-98.  DOI: 10.3969/j.issn.1000-1565.2019.01.016

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Behavior recognition is a basic application of machine vision. At present, most algorithms for behavior recognition are based on the features from space domain, or other algorithms are simply merge the features on time domain and space domain. Thus these methods restrain the capability of representation. To deal with this problems, we propose a time-space domain feature fusion method. In this method, we introduce the spatiotemporal weight strategy into time-space pyramid. By doing this, we can break the limitations of feature space, integrate the features from the two dimensions together. The experiments show that our spatiotemporal weighting method on multi-feature fusion can improve the accuracy of behavior recognition.

Convolutional neural network acceleration system based on FPGA

LI Xiaoyan, ZHANG Xin, YAN Xiaobing, REN Deliang, LI Yanqing, FU Changjuan

2019, 39(1):  99-105.  DOI: 10.3969/j.issn.1000-1565.2019.01.017

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In this paper, the convolutional neural network is deployed on the Field Programmable Gate Array(FPGA). As a background, a convolutional neural network is proposed to accelerate hardware. The paper analyzes the structural characteristics of convolutional neural networks, stores, reads, and moves data in a stream-style manner. Next, the convolution unit in each layer of the convolutional neural network is expanded to speed up the multiplication and addition operations. Based on the(FPGA)unique parallel structure, pipeline processing method can effectively improve the efficiency of the operation. From object classification results for the ciafr-10 dataset, at 800MHz operating frequency and without loss of accuracy, FPGA compared to General purpose processor can achieve 4 times speed up, Convolutional neural network through parallel process and multi-stage pipeline process can accelerate forward propagation of convolutional neural networks, being suitable for the demand of practical engineering tasks.

Qualities and antioxidant activities of lotus leaf wax layer treatment and lotus petioles

GUO Chunyan, ZHANG Nan, XUE Jingjing, LIU Zhaoning, WEI Ran, CHU Jianzhou, YAO Xiaoqin

2019, 39(1):  106-112.  DOI: 10.3969/j.issn.1000-1565.2019.01.018

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The paper mainly discussed the qualities and the antioxidant activities in the polished lotus leaves, the unpolished lotus leaves and the lotus petioles, in order to exploring whether the wax layer on lotus leaves affect the qualities of lotus leaves, and to indentifying the quality and antioxidant activity of lotus petioles. The results showed that the active and nutritional ingredients(except for vitamin C content)of the unpolished lotus leaves were significantly higher than that of the polished lotus leaves. The antioxidant activities of the polished lotus leaves were significantly higher than that of the unpolished lotus leaves. Lotus petioles showed high alkaloid content and powerful antioxidant activity. Therefore, lotus petioles have great potential to be utilized.