2018 Vol. 33, No. 3
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2018, 33(3)
:1-7.
doi: 10.3969/j.issn.2096-1553.2018.03.001
Abstract:
Using electrospray ionization-high resolution mass spectrometry (ESI-HRMS) method to confirm the catalpol propionylated products,and using peak area normalizing method to complete the semi quantitative,the analysis method on the synthesize process of catalpol propionylated products was established.The results showed that the ESI-HRMS method could quickly determine the type of propionylated products; the peak area normalization method could calculate the relative content of each catalpol propionylated products, which could be controlled to synthesize the main or mixed products with the specific structure by controlling the reaction conditions according to the need. The application of ESI-HRMS method in the reaction process of catalpol propanolation could provide a new approach for the analysis of the synthesis process of catalpol propanylated products.
Using electrospray ionization-high resolution mass spectrometry (ESI-HRMS) method to confirm the catalpol propionylated products,and using peak area normalizing method to complete the semi quantitative,the analysis method on the synthesize process of catalpol propionylated products was established.The results showed that the ESI-HRMS method could quickly determine the type of propionylated products; the peak area normalization method could calculate the relative content of each catalpol propionylated products, which could be controlled to synthesize the main or mixed products with the specific structure by controlling the reaction conditions according to the need. The application of ESI-HRMS method in the reaction process of catalpol propanolation could provide a new approach for the analysis of the synthesis process of catalpol propanylated products.
2018, 33(3)
:8-15.
doi: 10.3969/j.issn.2096-1553.2018.03.002
Abstract:
CoFe2O4/ZnAl-LDH magnetic composite was synthesized using pure CoFe2O4 as magnetic core and urea as precipitant in pure water solvent. After calcined at 400℃ for 4 h, CoFe2O4/ZnAl-LDO adsorbent was prepared. The adsorption performance of this adsorbent for Acid Orange II (AOII), Methyl Orange (MO) and Congo Red (CR) showed that when the reaction time was 150 min, the adsorption of AOII, MO and CR was basically the same. At equilibrium, the removal rates were 62%, 68%, and 80%, respectively; when the solid-liquid ratio (adsorbent/dye solution) was 10 mg/50 mL, the maximum adsorption capacity of the adsorbent for the three dyes were 276 mg/g, 281 mg/g and 452 mg/g, respectively. The results of adsorption kinetics and adsorption thermodynamics showed that the adsorption process conformed to the pseudo-second-order kinetics model and the Langmuir thermodynamic model, and belonged to the monolayer chemical adsorption process.
CoFe2O4/ZnAl-LDH magnetic composite was synthesized using pure CoFe2O4 as magnetic core and urea as precipitant in pure water solvent. After calcined at 400℃ for 4 h, CoFe2O4/ZnAl-LDO adsorbent was prepared. The adsorption performance of this adsorbent for Acid Orange II (AOII), Methyl Orange (MO) and Congo Red (CR) showed that when the reaction time was 150 min, the adsorption of AOII, MO and CR was basically the same. At equilibrium, the removal rates were 62%, 68%, and 80%, respectively; when the solid-liquid ratio (adsorbent/dye solution) was 10 mg/50 mL, the maximum adsorption capacity of the adsorbent for the three dyes were 276 mg/g, 281 mg/g and 452 mg/g, respectively. The results of adsorption kinetics and adsorption thermodynamics showed that the adsorption process conformed to the pseudo-second-order kinetics model and the Langmuir thermodynamic model, and belonged to the monolayer chemical adsorption process.
2018, 33(3)
:16-29.
doi: 10.3969/j.issn.2096-1553.2018.03.003
Abstract:
The enhancement systems of KGM-based hydrogels and their applications in biomedical applications such as drug release, wound dressings, biological tissue scaffolds, and as absorbent materials in wastewater treatment were reviewed. It was pointed out, as that the hydrogel system were pointed out,as the representative of novel high-strength and high toughness was an interpenetrating network hydrogel and a double network hydrogel. The main difference between the two was whether there were stringent requirements on the type and cross-linking density of the polymer; KGM-based hydrogels had considerable potential for application in drug delivery vehicles, the wound dressings, biological tissue scaffolds, and adsorbent materials.The fidure study arientation will be designing and synthesizing KGM-based hydrogels with controllable high strength, high water absorbency and degradation rate, and seeking more methods for preparing functional KGM-based hydrogels, obtaining better gelation time, excellent degradation performance, mechanical properties, and water absorption to provide theoretical basis and reference for the further study of KGM functional materials, and ultimately realize its development and application in drug carriers, wound dressings, tissue engineering and other biomedical and heavy metal adsorption materials.
The enhancement systems of KGM-based hydrogels and their applications in biomedical applications such as drug release, wound dressings, biological tissue scaffolds, and as absorbent materials in wastewater treatment were reviewed. It was pointed out, as that the hydrogel system were pointed out,as the representative of novel high-strength and high toughness was an interpenetrating network hydrogel and a double network hydrogel. The main difference between the two was whether there were stringent requirements on the type and cross-linking density of the polymer; KGM-based hydrogels had considerable potential for application in drug delivery vehicles, the wound dressings, biological tissue scaffolds, and adsorbent materials.The fidure study arientation will be designing and synthesizing KGM-based hydrogels with controllable high strength, high water absorbency and degradation rate, and seeking more methods for preparing functional KGM-based hydrogels, obtaining better gelation time, excellent degradation performance, mechanical properties, and water absorption to provide theoretical basis and reference for the further study of KGM functional materials, and ultimately realize its development and application in drug carriers, wound dressings, tissue engineering and other biomedical and heavy metal adsorption materials.
2018, 33(3)
:30-38,44.
doi: 10.3969/j.issn.2096-1553.2018.03.004
Abstract:
In order to increase γ-polyglutamic acid production of Bacillus amyloliquefaciens LDJ11,based on the previous single-factor test, the Plackett-Burman test design was adopted.Three most significant factors that affected the yield of γ-polyglutamic acid were selected from the initial medium components. The steepest limbing test method was used to approach the maximum γ-polyglutamic acid production area,and then the optimization of the medium components was obtained through a three-fator and three-level Box-Behnken test.The results showed that the optimal medium components for γ-polyglutamic acid-producing Bacillus amyloliquefaciens LDJ11 were:sodium glutamate 84.53 g/L, sodium citrate 12 g/L, glycerol 30 g/L,(NH4)2SO4 21.67 g/L, CaCl2 0.07 g/L, MnSO4·H2O 0.1 g/L,MgSO4·7H2O 0.5 g/L,K2HPO4·3H2O 0.5 g/L,FeCl3·6H2O 0.06 g/L. Under this condition, the actual yield of γ-polyglutamic acid produced by Bacillus amyloliquefaciens LDJ11 was 37.048 g/L, which was 1.39 times of the initial medium component yield (26.730 g/L),and it was very close to the theoretical prediction of 36.450 g/L.
In order to increase γ-polyglutamic acid production of Bacillus amyloliquefaciens LDJ11,based on the previous single-factor test, the Plackett-Burman test design was adopted.Three most significant factors that affected the yield of γ-polyglutamic acid were selected from the initial medium components. The steepest limbing test method was used to approach the maximum γ-polyglutamic acid production area,and then the optimization of the medium components was obtained through a three-fator and three-level Box-Behnken test.The results showed that the optimal medium components for γ-polyglutamic acid-producing Bacillus amyloliquefaciens LDJ11 were:sodium glutamate 84.53 g/L, sodium citrate 12 g/L, glycerol 30 g/L,(NH4)2SO4 21.67 g/L, CaCl2 0.07 g/L, MnSO4·H2O 0.1 g/L,MgSO4·7H2O 0.5 g/L,K2HPO4·3H2O 0.5 g/L,FeCl3·6H2O 0.06 g/L. Under this condition, the actual yield of γ-polyglutamic acid produced by Bacillus amyloliquefaciens LDJ11 was 37.048 g/L, which was 1.39 times of the initial medium component yield (26.730 g/L),and it was very close to the theoretical prediction of 36.450 g/L.
2018, 33(3)
:39-44.
doi: 10.3969/j.issn.2096-1553.2018.03.005
Abstract:
In order to enrich the understanding of the composition of the yeast strains of the Cabernet Sauvignon in planting region of Anyang, 70 yeast strains were enriched, isolated and purified from the Cabernet Sauvignon surface. Combined with traditional morphological classification and identification of modern molecular biology, these 70 yeast strains were identified as three well-known yeast species:Hanseniaspora opuntiae, Pichia terricola and Candida quercitrusa, in which Hanseniaspora opuntiae and Pichia terricola were dominant, while only few strains belong to Candida quercitrusa. This study has a good practical significance for the brewing of specialty wines in the producing areas.
In order to enrich the understanding of the composition of the yeast strains of the Cabernet Sauvignon in planting region of Anyang, 70 yeast strains were enriched, isolated and purified from the Cabernet Sauvignon surface. Combined with traditional morphological classification and identification of modern molecular biology, these 70 yeast strains were identified as three well-known yeast species:Hanseniaspora opuntiae, Pichia terricola and Candida quercitrusa, in which Hanseniaspora opuntiae and Pichia terricola were dominant, while only few strains belong to Candida quercitrusa. This study has a good practical significance for the brewing of specialty wines in the producing areas.
2018, 33(3)
:45-50.
doi: 10.3969/j.issn.2096-1553.2018.03.006
Abstract:
Classified grinding technology is becoming the research focus due to its advantages of simplifying flour production technology and improving flour quality. The development of whole wheat flour is mainly focused on baking processing. Due to the fact that there are no good solutions to the storage and palatability of whole wheat flour etc., therefore, the research on the relevance between bran size of whole wheat flour and wheat flour quality, the application of flour additives in whole wheat flour and the optimization of whole wheat flour production technology and the development of its multi-functional varieties will become the focus of future research.
Classified grinding technology is becoming the research focus due to its advantages of simplifying flour production technology and improving flour quality. The development of whole wheat flour is mainly focused on baking processing. Due to the fact that there are no good solutions to the storage and palatability of whole wheat flour etc., therefore, the research on the relevance between bran size of whole wheat flour and wheat flour quality, the application of flour additives in whole wheat flour and the optimization of whole wheat flour production technology and the development of its multi-functional varieties will become the focus of future research.
2018, 33(3)
:51-56.
doi: 10.3969/j.issn.2096-1553.2018.03.007
Abstract:
Aiming at the problem that it is difficult to get the overall evaluation of the scenic spot when people are viewing the network evaluation information before the trip,a word frequency statistics algorithm TF-CT that is suitable for massive data was proposed.The cosine similarity algorithm was used to classify these huge text data,so that the data with the same expression attitude was categorized into a class.The TextRank algorithm was used to extract the key words in one of the data in each category.The word frequency of the extracted keywords was used to obtain the attitude of text data using the TFIDF algorithm. Experimental results showed that compared with the TFIDF algorithm,the TF-CT algorithm had greater advantages in accuracy and time complexity.
Aiming at the problem that it is difficult to get the overall evaluation of the scenic spot when people are viewing the network evaluation information before the trip,a word frequency statistics algorithm TF-CT that is suitable for massive data was proposed.The cosine similarity algorithm was used to classify these huge text data,so that the data with the same expression attitude was categorized into a class.The TextRank algorithm was used to extract the key words in one of the data in each category.The word frequency of the extracted keywords was used to obtain the attitude of text data using the TFIDF algorithm. Experimental results showed that compared with the TFIDF algorithm,the TF-CT algorithm had greater advantages in accuracy and time complexity.
2018, 33(3)
:57-65.
doi: 10.3969/j.issn.2096-1553.2018.03.008
Abstract:
Aiming at the low accuracy in detection and recognition of traffic sign,a traffic sign detection and recognition method was proposed based on image HSV color space segmentation and improved SVM algorithm. By setting up the HSV color space segmentation model,the shape threshold was set to accurately obtain the traffic sign area in the image after the initial color segmentation of the traffic sign. The Hu invariant moment method was used to extract feature vectors in the image to be identified,and the SVM classifier was used for training classification. There was no uniform standard for the selection of kernel function parameters for SVM algorithm. The wolves algorithm was used to optimize the selection of SVM parameters. Finally,the optimized SVM algorithm was used to complete the recognition of the meaning of traffic signs.The verification experiment result showed that the detection and recognition method proposed could effectively detect and classify the traffic sign area,and had higher accuracy.
Aiming at the low accuracy in detection and recognition of traffic sign,a traffic sign detection and recognition method was proposed based on image HSV color space segmentation and improved SVM algorithm. By setting up the HSV color space segmentation model,the shape threshold was set to accurately obtain the traffic sign area in the image after the initial color segmentation of the traffic sign. The Hu invariant moment method was used to extract feature vectors in the image to be identified,and the SVM classifier was used for training classification. There was no uniform standard for the selection of kernel function parameters for SVM algorithm. The wolves algorithm was used to optimize the selection of SVM parameters. Finally,the optimized SVM algorithm was used to complete the recognition of the meaning of traffic signs.The verification experiment result showed that the detection and recognition method proposed could effectively detect and classify the traffic sign area,and had higher accuracy.
2018, 33(3)
:66-74.
doi: 10.3969/j.issn.2096-1553.2018.03.009
Abstract:
For the bridge safety and maintenance issues,a sparse coding method for the classification of bridge pavement cracks was proposed.Random downloading of image datasets from the Internet as a training set reduced the amount of manual tagging,and then the camera was used to capture the surrounding bridge crack images as test sets and validation sets.An improved whitening principal component analysis was used to reduce dimensions and accelerate feature learning for these high resolution images.A self-learning algorithm was used to extract scale-invariant features from a large number of unlabeled data sets based on the characteristics of crack images,and an improved sparse code representation was used to obtain a feature dictionary,and the space pyramid was used for pooling.Finally,multiclassification was performed using a linear support vector machine classifier. Experimental results showed that compared with other methods,the proposed algorithm could achieve higher classification accuracy.
For the bridge safety and maintenance issues,a sparse coding method for the classification of bridge pavement cracks was proposed.Random downloading of image datasets from the Internet as a training set reduced the amount of manual tagging,and then the camera was used to capture the surrounding bridge crack images as test sets and validation sets.An improved whitening principal component analysis was used to reduce dimensions and accelerate feature learning for these high resolution images.A self-learning algorithm was used to extract scale-invariant features from a large number of unlabeled data sets based on the characteristics of crack images,and an improved sparse code representation was used to obtain a feature dictionary,and the space pyramid was used for pooling.Finally,multiclassification was performed using a linear support vector machine classifier. Experimental results showed that compared with other methods,the proposed algorithm could achieve higher classification accuracy.
2018, 33(3)
:75-81.
doi: 10.3969/j.issn.2096-1553.2018.03.010
Abstract:
Aiming at solving the testing problem on the inner-cone angle of single-route and single-room aero-engine nozzle, a five-axis coordinate measuring machine was designed as the experimental platform using the Cono laser probe based on conoscopic holographic technology, followed by establishing its mathematical measurement model. The least squares parameterized objective function of the space cone was given and solved by means of L-M optimization algorithm. Experimental results showed that the testing repeatability was 0.001 9�, and the standard deviation was 0.000 9�. The proposed measuring method of inner-cone angle was feasible.
Aiming at solving the testing problem on the inner-cone angle of single-route and single-room aero-engine nozzle, a five-axis coordinate measuring machine was designed as the experimental platform using the Cono laser probe based on conoscopic holographic technology, followed by establishing its mathematical measurement model. The least squares parameterized objective function of the space cone was given and solved by means of L-M optimization algorithm. Experimental results showed that the testing repeatability was 0.001 9�, and the standard deviation was 0.000 9�. The proposed measuring method of inner-cone angle was feasible.
2018, 33(3)
:82-93.
doi: 10.3969/j.issn.2096-1553.2018.03.011
Abstract:
Fluent software was used to study the effects of four different types of rectangular wings on the laminar flow and heat transfer of the fluid in the heat exchanger microchannel when the Reynolds number was 200 to 1100, and compared with the smooth microchannel.The results showed that the best arrangement was that the two pairs of rectangular wings were bracketed, and when Re=1100, the Nu increased 39.7% over the smooth microchannel. Under this configuration, the regularity of the effect of rectangular wings with different spacing on the laminar flow and heat transfer of the fluid was:PEC increased first and then decreased with increasing spacing. The optimal spacing was g1=g2=4H, and the maximum PEC was 0.62.
Fluent software was used to study the effects of four different types of rectangular wings on the laminar flow and heat transfer of the fluid in the heat exchanger microchannel when the Reynolds number was 200 to 1100, and compared with the smooth microchannel.The results showed that the best arrangement was that the two pairs of rectangular wings were bracketed, and when Re=1100, the Nu increased 39.7% over the smooth microchannel. Under this configuration, the regularity of the effect of rectangular wings with different spacing on the laminar flow and heat transfer of the fluid was:PEC increased first and then decreased with increasing spacing. The optimal spacing was g1=g2=4H, and the maximum PEC was 0.62.
2018, 33(3)
:94-100.
doi: 10.3969/j.issn.2096-1553.2018.03.012
Abstract:
In order to investigate effects of structural parameters of heat exchanger on fluid flow, heat transfer and overall performance in helical mini-channels with fan cavities, the helical mini-channels with different radiuses and pitches of fan cavities were designed in present work. The fluid flow, heat transfer and overall performance characteristics in these mini-channels under different Re were studied using numerical simulation. The results showed that the fan cavities had obvious influences on the fluid flow performance in the helical mini-channel. At the range of 168<Re<2016, the flow resistance increased with the increase in the radius of fan cavity. The flow resistance descreased with the rise in the pitch of fan cavity when Re>336. But this trend was inversed when Re<336. The variations for structural parameters of fan cavity had no significant influence on heat transfer performance. Also these variations can't improved obviously the overall performance in helical mini-channel.The helical mini-channels with fan cavities were suitable for the low ranges of Re.
In order to investigate effects of structural parameters of heat exchanger on fluid flow, heat transfer and overall performance in helical mini-channels with fan cavities, the helical mini-channels with different radiuses and pitches of fan cavities were designed in present work. The fluid flow, heat transfer and overall performance characteristics in these mini-channels under different Re were studied using numerical simulation. The results showed that the fan cavities had obvious influences on the fluid flow performance in the helical mini-channel. At the range of 168<Re<2016, the flow resistance increased with the increase in the radius of fan cavity. The flow resistance descreased with the rise in the pitch of fan cavity when Re>336. But this trend was inversed when Re<336. The variations for structural parameters of fan cavity had no significant influence on heat transfer performance. Also these variations can't improved obviously the overall performance in helical mini-channel.The helical mini-channels with fan cavities were suitable for the low ranges of Re.
2018, 33(3)
:101-108.
doi: 10.3969/j.issn.2096-1553.2018.03.013
Abstract:
Based on the CFD analysis software Star CCM+combined with computational aeroacoustics theory,the flow field and aerodynamic noise of a car heating,ventilation and air conditioning (HVAC) centrifugal fan were numerically simulated. The Reynolds average numerical simulation (RANS) standard k-ε turbulence model was used to simulate the steady-state flow field; the large-eddy simulation (LES) turbulence model and the FW-H equation were used to analyze the transient aerodynamic noise by monitoring the internal and external layout points of the centrifugal fan. The pressure pulsation was measured,and the spectrum of the sound pressure level at the monitoring point was obtained by Fourier transform. The main noise of the centrifugal fan under this operating condition was the discrete noise generated by the rotation of the impeller which was 98 dB.More blades can be added and blading pitch can be adjusted to decrease the noise.This method can provide an effective analysis method for numerical simulation of aerodynamic noise of other types of fans.
Based on the CFD analysis software Star CCM+combined with computational aeroacoustics theory,the flow field and aerodynamic noise of a car heating,ventilation and air conditioning (HVAC) centrifugal fan were numerically simulated. The Reynolds average numerical simulation (RANS) standard k-ε turbulence model was used to simulate the steady-state flow field; the large-eddy simulation (LES) turbulence model and the FW-H equation were used to analyze the transient aerodynamic noise by monitoring the internal and external layout points of the centrifugal fan. The pressure pulsation was measured,and the spectrum of the sound pressure level at the monitoring point was obtained by Fourier transform. The main noise of the centrifugal fan under this operating condition was the discrete noise generated by the rotation of the impeller which was 98 dB.More blades can be added and blading pitch can be adjusted to decrease the noise.This method can provide an effective analysis method for numerical simulation of aerodynamic noise of other types of fans.
Journal Information
Founded in 1986， bimonthly
Administered by：The Education Department Henan Province
Sponsored by：Zhengzhou University of Light Industry
Editor-in-chief：Wei Shizhong
Executive Editor-in-Chief：Zou Lin
Deputy Editor-in-Chief：Qu Shuanghong
Edited & published by：Editorial Department of Journal of Light Industry
CN 41-1437/TS
ISSN 2096-1553
Address：136 Science Avenue, Zhengzhou City, Henan Province, China
Postal Code：450001
Tel：(086)0371-86608635
(086)0371-86608633
