Key Laboratory of Science and Technology of Eco Textile

Shanghai, China

Key Laboratory of Science and Technology of Eco Textile

Shanghai, China

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Huang Z.,Changjiang River Scientific Research Institute | Lu W.,Changjiang River Scientific Research Institute | Xu Z.,Key Laboratory of Science and Technology of Eco Textile
Chinese Journal of Chromatography (Se Pu) | Year: 2014

The system abilities of two chromatographic techniques, capillary electrophoresis (CE) and high performance liquid chromatography (HPLC), were compared for the analysis of four tetracyclines (tetracycline, chlorotetracycline, oxytetracycline and doxycycline). ThepH, concentration of background electrolyte (BGE) were optimized for the analysis of the standard mixture sample, meanwhile, the effects of separation voltage and water matrix (pH value and hardness) effects were investigated. In hydrodynamic injection (HDI) mode, a good quantitative linearity and baseline separation within 9. 0 min were obtained for the four tetracyclines at the optimal conditions; the analytical time was about half of that of HPLC. The limits of detection (LODs) were in the range of 0.28-0.62 mg/L, and the relative standard deviations (RSDs) (n=6) of migration time and peak area were 0. 42%-0. 56% and 2. 24%-2.95%, respectively. The obtained recoveries spiked in tap water and fishpond water were at the ranges of 96.3%-107.2% and 87.1%-105.2%, respectively. In addition, the stacking method, field-amplified sample injection (FASI), was employed to improve the sensitivity, and the LOD was down to the range of 17.8-35.5 μg/L. With FASI stacking, the RSDs (n=6) of migration time and peak area were 0.85%-0.95% and 1.69%-3.43%, respectively. Due to the advantages of simple sample pretreatment and fast speed, CE is promising in the analysis of the antibiotics in environmental water.


Nurwaha D.,Donghua University | Wang X.H.,Donghua University | Wang X.H.,Key Laboratory of Science and Technology of Eco Textile
Fibres and Textiles in Eastern Europe | Year: 2012

This study describes the application of intelligent control systems in textile engineering and how to use these approaches for developing a spun yarn quality prediction system. The Multilayer Perceptron Neural Network(MLPNN), Support Vector Machines(SVMs), the Radial Basic Function Network(RBFN), the General Neural Network(GNN), the Group Method of Data Handling Polynomial Neural Network (GMDHPNN) and Gene expression Programming (GEP), generally called intelligent techniques, were used to predict the count-strength-product (CSP). Fiber properties such fibre strength (FS), micronaire (M), the upper half mean length (UHML), fibre elongation(FE), the uniformity index (UI), yellowness (Y), grayness (G) and short fibre content (SFC) were used as inputs. The prediction performances are compared to those provided by the classical Linear Regression (LR) model. The SVMs model provides good prediction ability, followed by the GEP and LR models, respectively. Graphs illustrating the relative importance of fibre properties for CSP were plotted. Fiber strength (FS) is ranked first in importance as a contributor to CSP by the five models, while fibre elongation (FE) ranks second. By means of the yarn strength learned surfaces on fibre properties, the study shows how to control yarn quality using knowledge of fibre properties.


Nurwaha D.,Donghua University | Wang X.,Donghua University | Wang X.,Key Laboratory of Science and Technology of Eco Textile
Journal of Computational and Theoretical Nanoscience | Year: 2013

Electrospinning is the process of extruding a fine fiber from a charged polymer solution. The fiber is continuously stretched by electrostatic forces and the evaporation of solvent while traveling through air prior to deposition. These fibers provide a high surface area to volume ratio and a high porosity which are useful in many engineering areas. Fiber diameter is one of the most important morphological properties of electrospun fiber as it is the main parameter for quality control. Small fiber diameter and higher fiber uniformity are desired in many applications. But one major issue with the process is the lack of a functional model that can link processing parameters and polymer solution properties to fiber morphology (fiber diameter and its distribution). In this study, adaptive neuro-fuzzy inference systems (ANFIS) and support vector machines (SVMs) models were used to establish a relationship between PEO nanofiber diameter and electrospinning processing parameters such as the polymer concentration, spinning surface distance, applied voltage and volume flow rate. The predictive performances of the two models were estimated and compared to those of multiple linear regression (MLR). The results indicated that the performance of SVMs was better than ANFIS and MLR methods. It was observed that the relationship existing between each electrospinning processing parameters and nanofiber diameter is nonlinear. The relative importance of each processing parameter was also computed. Copyright © 2013 American Scientific Publishers. All rights reserved.


Han W.,Donghua University | Nurwaha D.,Donghua University | Li C.,Donghua University | Wang X.,Donghua University | Wang X.,Key Laboratory of Science and Technology of Eco Textile
Polymer Engineering and Science | Year: 2014

In this study, a free surface electrospinning experimental setup was developed based on rotating spiral copper wire electrode and used as the spinneret. The scheme was investigated by varying processing parameters including polymer solution concentration, distance between the electrode and the collector, applied voltage between the electrode, and the collector and wire electrode diameter. An average of fiber diameter ranged between 202 and 543 nm and a relative standard deviation ranged between 11.0 and 26.9% were obtained. The combined effects of processing parameters on the resulting fiber morphology were investigated. The analysis shows that in a multiple variable process like electrospinning, the interaction between the different processing parameters played an important role, rather than one parameter separately in obtaining desired nanofibers. Knowing the relative combined effects of processing parameters on fiber morphology should be useful for process control and prediction of electrospun fiber quality as it has been demonstrated in this study. © 2013 Society of Plastics Engineers.


Sun Y.,Donghua University | Sun Y.,Key Laboratory of Science and Technology of Eco Textile | Wang X.,Donghua University | Wang X.,Key Laboratory of Science and Technology of Eco Textile
Journal of Applied Polymer Science | Year: 2010

The air flow field plays a key role in melt blowing. In this article, an optimal design procedure that improves the airflow field of melt blowing is proposed. A parameter, stagnation temperature which is a combination of static temperature and kinetic temperature, is proposed to evaluate the air flow field. The stagnation temperature is obtained via computer simulation, while optimization is accomplished by genetic algorithm. Four main geometry parameters of the slot die: slot width, nose piece width, slot angle, and setback are investigated. The optimal results were achieved in the 40th generation. The results also show that the smaller slot angle and larger slot width can result in the higher stagnation temperature. © 2009 Wiley Periodicals, Inc.


Nurwaha D.,Key Laboratory of Science and Technology of Eco Textile | Wang X.,Donghua University
Fibers and Polymers | Year: 2011

A new method for rotor spun yarn prediction from fiber properties based on the theory of support vector machines (SVM) was introduced. The SVM represents a new approach to supervised pattern classification and has been successfully applied to a wide range of pattern recognition problems. In this study, high volume instrument (HVI) and advanced fiber information system (Uster AFIS) fiber test results consisting of different fiber properties are used to predict the rotor spun yarn strength. The results obtained through this study indicated that the SVM method would become a powerful tool for predicting rotor spun yarn strength. The relative importance of each fiber property on the rotor spun yarn strength is also expected. The study shows also that the combination of SVM parameters and optimal search method chosen in the model development played an important role in better performance of the model. The predictive performances are estimated and compared to those provided by ANFIS model. © 2011 The Korean Fiber Society and Springer Netherlands.


Sun Y.,Donghua University | Wang X.,Donghua University | Wang X.,Key Laboratory of Science and Technology of Eco Textile
Journal of the Textile Institute | Year: 2011

In this paper, a method combining the orthogonal array design and the numerical simulation is proposed to optimize the geometry parameters of the melt-blowing slot die. An index, the stagnation temperature, is used to evaluate the performance of the slot die. The stagnation temperature is obtained by simulating the subsonic compressible air jet from the melt-blowing slot die, whereas the optimization is accomplished by the orthogonal array method. Three geometry parameters of the slot die: slot width, nose piece width, and slot angle are investigated. The results show that smaller slot angle and larger slot width will result in a higher stagnation temperature, which is beneficial to the air drawing of the polymer melt and thus to reducing fiber diameter, whereas the effect of nose piece width is insignificant. The optimal geometry parameters of the melt-blowing slot die achieved in this study are: slot width of 1.5 mm, slot angle of 30°, and nose piece width of 2 mm. © 2011 The Textile Institute.


Wang L.,Key Laboratory of Science and Technology of Eco Textile | Zhu F.,Key Laboratory of Science and Technology of Eco Textile | Lu D.,Key Laboratory of Science and Technology of Eco Textile
Textile Research Journal | Year: 2013

In this study, sodium alginate (SA) and xanthan (XG), selected as two typical pastes, were intensively investigated by steady, transient, and dynamic rheological methods. Compared with SA, in the steady-shear tests it was found that XG showed a prominent shear-thinning feature at low shear rates and low concentrations. In addition, the transient tests suggested that XG had more remarkable hysteresis thixotropy and that the structural viscosity needed more time to return to its original level after shears. What is more, two pastes in the same concentration performed totally different viscoelastic behaviors from the dynamic tests. SA exhibited more viscous behavior and XG more elastic behavior. Furthermore, experimental data have been correlated with different models: flow curves with the Cross and power-law model, mechanical spectra with the Friedrich-Braun model and Generalized Maxwell model. The relationship between dynamic and steady-shear properties (Cox-Merz rule) was satisfactory for SA while undesirable for XG. Through the rheological properties, it may be inferred that those who show weaker elasticity, stronger viscosity, relatively steady viscoelasticity, and the structural viscosity liable to restore the original level after shears may be more appropriate as the pastes to achieve better printing qualities on cotton printing with reactive dye. © The Author(s) 2013 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.


Zhang Q.,Key Laboratory of Science and Technology of Eco Textile | Zhang Q.,Donghua University | Yan K.,Key Laboratory of Science and Technology of Eco Textile | Yan K.,Donghua University
Advanced Materials Research | Year: 2012

In this paper, a shrinkproofing treatment of wool fabrics was carried out by excilamp combined with enzyme. Shrinkproofing properties of the treated fabrics were evaluated by the values of directional friction effect (DFE), felting shrinkage and weight loss. The results showed that felting shrinkage of the treated wool fabrics could achieve the machine washability standard 6330 and IWS TM 31) with low fiber damage. Surface morphology and chemical composition of treated fabrics were observed and analyzed by SEM and FTIR-ATR. This treatment was compared with low-temperature oxidation combined with enzyme method (ARS Process). © (2012) Trans Tech Publications.


Fu K.-L.,Key Laboratory of Science and Technology of Eco Textile | Lu D.-N.,Key Laboratory of Science and Technology of Eco Textile
Cellulose | Year: 2013

n-Propylamine and n-butylamine showed an inhibitory effect on cellulase A and cellulase B, while ethanediamine displayed a positive effect on both of these cellulases. Relative filter paper activity and relative CMCase activity of cellulase A and cellulase B measured at 50 °C were increased by 16.0 and 25.2 %, and 18.9 and 13.9 %, respectively, by the appearance of ethanediamine at a certain concentration. Also the addition of ethanediamine maintained the thermal stability of cellulase A and B at 65 °C to some extent and showed a stronger stabilizing effect on cellulase A than cellulase B. Third, the addition of ethanediamine within a certain concentration range enhanced the bio-polishing effect of cotton fabric enzymatic treatment at 50 °C to some extent, obtaining a close bio-polishing effect of cotton fabrics treated at 50 °C; the addition of ethanediamine saved some of the dose of cellulase A and B. Last but not least, the appearance of ethanediamine broadened the operating temperature of cellulase A to 65 °C, and it had a less positive effect on cellulase B at 65 °C. © 2013 Springer Science+Business Media Dordrecht.

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