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Degradation of Synthetic Dyes with Plant-Produced Manganese Peroxidase and Commercial Laccase 植物产生的锰过氧化物酶和商品漆酶降解合成染料的研究
IF 0.7 4区 工程技术 Q4 MATERIALS SCIENCE, TEXTILES Pub Date : 2022-01-01 DOI: 10.1177/23305517211060796
Joshua D. Byrd, E. Hood
Contamination of the environment directly impacts animal, plant, and human health, as well as agricultural production. A potential solution tested in this work incorporates the use of enzymes from fungi, manganese (Mn) peroxidase (MnP) and laccase, to degrade pollutants. Unfortunately, the MnP is too expensive to produce (more than US$24,000 per gram) to be used in remediation applications. MnP from a corn kernel biofactory can be produced in large amounts, and at
环境污染直接影响动物、植物和人类健康以及农业生产。这项工作中测试的一种潜在的解决方案包括使用真菌中的酶,锰(Mn)过氧化物酶(MnP)和漆酶来降解污染物。不幸的是,MnP的生产成本太高(每克超过24000美元),无法用于修复应用。玉米粒生物工厂生产的MnP可以大量生产,每克<5美元,在这种应用中具有成本效益,并解决了污染问题。来自玉米粒生产系统的重组MnP和商业真菌漆酶的两种制剂已经在水环境中测试了合成染料的降解。使用了多种浓度的四种合成偶氮或蒽醌染料。所有染料都被这两种酶部分或完全降解。
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引用次数: 0
Photochromic Microcapsules for Textile Materials by Spray Drying: Part 2—Exergy Analysis of Spray Drying Process 喷雾干燥用于纺织材料的光致变色微胶囊:第2部分:喷雾干燥过程的火用分析
IF 0.7 4区 工程技术 Q4 MATERIALS SCIENCE, TEXTILES Pub Date : 2022-01-01 DOI: 10.1177/23305517211060794
A. Çay, S. Morsümbül, E. Kumbasar
In this study, the second part of a three-part series, exergy analysis of microencapsulation of photochromic dyes by the spray drying method was investigated. Since the spray dryers are thermal systems, energetic examination of the system components is an important issue for sustainable production with high efficiency. Exergy analysis is an important tool used in recent years for the analysis, design, and performance evaluation of thermal systems. The spray drying process was investigated considering two subsystems: the heater and the dryer sections. An exergy model for the process of encapsulation of spirooxazine-based photochromic dye with ethyl cellulose by the spray drying method was proposed. The highest exergy efficiency was achieved at a drying temperature of 120 °C and using an aqueous system as the solvent.
本研究是三部分系列的第二部分,研究了喷雾干燥法微胶囊化光致变色染料的火用分析。由于喷雾干燥器是热力系统,因此对系统组件进行高能检测是实现高效可持续生产的重要问题。火用分析是近年来用于热力系统分析、设计和性能评估的重要工具。考虑到两个子系统:加热器和干燥器部分,对喷雾干燥过程进行了研究。提出了用喷雾干燥法将螺恶嗪基光致变色染料与乙基纤维素包封的有效能模型。在120的干燥温度下获得了最高的火用效率 °C,并使用含水系统作为溶剂。
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引用次数: 2
Facile Fabrication of Chemically Modified Sodium Alginate Fibers With Enhanced Mechanical Performance 提高机械性能的化学改性海藻酸钠纤维的简易制备
IF 0.7 4区 工程技术 Q4 MATERIALS SCIENCE, TEXTILES Pub Date : 2022-01-01 DOI: 10.1177/23305517211060795
Jie Liu, Shenglong Shang, Zhiming Jiang, Rui Zhang, Shuying Sui, P. Zhu
Sodium alginate fibers have been extensively studied due to being non-toxic and have high moisture retention, high oxygen permeability, biocompatibility, and biodegradability. However, their application has been limited due to their poor mechanical performance. In this study, poly(ethylene glycol) diglycidyl ether-modified sodium alginate fibers were prepared by spinning the solution after mixed reactions through a spinneret into a coagulation bath containing aqueous CaCl2. The properties of the spinning solution, the structure and physical properties of the modified sodium alginate fibers with various poly(ethylene glycol) diglycidyl ether contents were investigated. A poly(ethylene glycol) diglycidyl ether content of the modified sodium alginate fibers of 15 wt% gave optimal breaking strength and elongation at break, improving them by 78 % and 114 %, respectively, compared with pure sodium alginate fibers. The thermal stability of the modified sodium alginate fibers was also improved.
海藻酸钠纤维因其无毒、高保湿性、高透氧性、生物相容性和可生物降解性而受到广泛的研究。然而,由于其机械性能较差,其应用受到限制。本研究将聚乙二醇二缩水甘油酯醚改性海藻酸钠纤维通过喷丝器将混合反应后的溶液纺丝至含氯化钙的混凝浴中。考察了纺丝液的性能,以及不同聚乙二醇二缩水甘油酯含量改性海藻酸钠纤维的结构和物理性能。改性海藻酸钠纤维的聚乙二醇二缩水甘油醚含量为15wt %时,其断裂强度和断裂伸长率分别比纯海藻酸钠纤维提高78%和114%,达到最佳。改性海藻酸钠纤维的热稳定性也得到了改善。
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引用次数: 3
Facile Fabrication of Silk Fibroin/Konjac Glucomannan Composite Membranes 丝素/魔芋葡甘聚糖复合膜的简易制备
IF 0.7 4区 工程技术 Q4 MATERIALS SCIENCE, TEXTILES Pub Date : 2021-12-01 DOI: 10.14504/ajr.8.S2.5
Zhanao Hu, W. Akram, Shixian Chen, Shuqin Yan, Qiang Zhang
Silk fibroin (SF)-based biocomposites have attracted considerable attention for several decades, due to excellent biocompatibility and mechanical toughness. However, insufficient hydrophilicity and mechanical brittleness limit its practical application, especially in tissue engineering. In this study, by blending konjac glucomannan (KGM) with SF, along with the water-insoluble treatment of ethanol and ammonia, SF/KGM composite membranes were generated with good flexibility and water adsorption capacity. Scanning electron microscopy (SEM) showed that KGM/SF membrane surfaces were uniform and dense. Fourier transform infrared spectroscopy (FTIR) showed that the silk II structure was dominant. Contact angle and mechanical testing showed that the use of KGM with SF in membranes helped to form more flexible and hydrophilic membranes for potential use in biomaterials and devices.
丝素蛋白(SF)基生物复合材料由于其优异的生物相容性和机械韧性,几十年来一直备受关注。然而,亲水性和机械脆性的不足限制了它的实际应用,尤其是在组织工程中。在本研究中,通过将魔芋葡甘聚糖(KGM)与SF共混,再加上乙醇和氨的水不溶性处理,制备了具有良好柔韧性和吸水能力的SF/KGM复合膜。扫描电子显微镜(SEM)显示KGM/SF膜表面均匀致密。傅立叶变换红外光谱(FTIR)表明,丝II结构占主导地位。接触角和机械测试表明,在膜中使用KGM和SF有助于形成更灵活和亲水的膜,有可能用于生物材料和设备。
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引用次数: 0
Effects of Compression Socks on Muscle Recovery after Induced Fatigue 压缩袜对疲劳后肌肉恢复的影响
IF 0.7 4区 工程技术 Q4 MATERIALS SCIENCE, TEXTILES Pub Date : 2021-12-01 DOI: 10.14504/ajr.8.S2.14
Yunping Shen, Jianmei Sui, Hong Xie
The purpose of this study was to determine the influence of the compression on muscle recovery after sports. Four kinds of gradient pressure socks were randomly ordered into 24 groups. Each subject needed to complete six experiments of all. The experiment was divided into two parts including a fatigue induced experiment and an intermittent fatigue induced experiment. The vertical jump height, blood oxygen saturation, local hemoglobin, blood flow, and Visual Analogue Score (VAS) were tested in each experiment. It was found that high pressure level has a significant effect on the vertical height after intermittent induced fatigue; however, the analysis showed no difference among sock pressure levels on blood oxygen saturation, local hemoglobin, blood flow, or VAS subjective feeling evaluation. The effect of compression socks was better than that of non-pressure socks. If the exercise intensity is strong, high-pressure socks can make contributions on recovery. If the exercise intensity is low, low-pressure socks contribute to greater comfort. This study concluded that different exercise intensities required different sock pressures to promote the muscle recovery after sports.
本研究的目的是确定压迫对运动后肌肉恢复的影响。4种梯度压力袜随机分为24组。每个受试者需要完成6个实验。实验分为疲劳诱导实验和间歇疲劳诱导实验两部分。测定各组小鼠垂直跳高、血氧饱和度、局部血红蛋白、血流量、视觉模拟评分(VAS)。研究发现,高压水平对间歇性诱发疲劳后的垂直高度有显著影响;然而,分析显示袜子压力水平对血氧饱和度、局部血红蛋白、血流量或VAS主观感觉评估没有差异。压缩袜的效果优于非压缩袜。如果运动强度大,高压袜可以对恢复有所贡献。如果运动强度低,穿低压袜会更舒适。本研究认为,不同的运动强度需要不同的袜子压力来促进运动后肌肉的恢复。
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引用次数: 1
Predicting the Mechanical Strength of Fire Protective Fabrics after Thermal Aging using Machine Learning 用机器学习预测防火织物热老化后的力学强度
IF 0.7 4区 工程技术 Q4 MATERIALS SCIENCE, TEXTILES Pub Date : 2021-12-01 DOI: 10.14504/ajr.8.S2.9
Xiaohan Liu, Miao Tian, Yun Su, Yunyi Wang, Jun Li
Thermal aging leads to a reduction in the tensile strength of fire protective fabrics, which increases the skin burn risks of the wearer. Standardized test methods are generally destructive. In this study, machine learning was applied to predict the tensile strength after heat exposure. Training data was obtained from published articles, and seven features that affect the tensile strength of the fabric were determined. The results indicated that the average R2 and RMSE of machine learning models was 0.83 and 135.40, respectively, which was better than the traditional statistical model (R2 = 0.45, RMSE = 238.41). Among all the models, GBR produced the best prediction result (R2 = 0.95, RMSE = 77.42). Five features (fiber, weight, testing direction, exposure time, and heat flux density) were sufficient to achieve a better prediction.
热老化会导致防火织物的抗拉强度降低,从而增加穿着者的皮肤烧伤风险。标准化测试方法通常具有破坏性。在这项研究中,机器学习被应用于预测热暴露后的拉伸强度。从已发表的文章中获得训练数据,并确定了影响织物抗拉强度的七个特征。结果表明,机器学习模型的平均R2和RMSE分别为0.83和135.40,优于传统统计模型(R2=0.45,RMSE=238.41),GBR产生了最好的预测结果(R2=0.95,RMSE=77.42)。五个特征(纤维、重量、测试方向、暴露时间和热通量密度)足以实现更好的预测。
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引用次数: 0
Effect of Clothing Pressure on Exercise Fatigue Based on EEG 基于脑电图的服装压力对运动性疲劳的影响
IF 0.7 4区 工程技术 Q4 MATERIALS SCIENCE, TEXTILES Pub Date : 2021-12-01 DOI: 10.14504/ajr.8.S2.8
Jiacheng Wang, Yanmei Li
To optimize the use of compression clothing to alleviate sports fatigue, this review discusses the current research status on clothing pressure and fatigue relief, and the principle of clothing pressure to relieve fatigue. In addition, research developments on the application of electroencephalography (EEG) in clothing pressure and sports fatigue are discussed and the relationship between the clothing pressure, EEG, and sports fatigue is analyzed. The mechanism of sports fatigue can be understood more comprehensively via EEG. Building a garment pressure evaluation system provides avenues for the research and development of apparel to relieve fatigue.
为了优化压缩服的使用来缓解运动疲劳,本文综述了服装压力和疲劳缓解的研究现状,以及服装压力缓解疲劳的原理。此外,还讨论了脑电图在服装压力和运动疲劳中的应用研究进展,并分析了服装压力、脑电图和运动疲劳之间的关系。通过脑电图可以更全面地了解运动疲劳的机制。建立服装压力评估系统为缓解疲劳的服装研发提供了途径。
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引用次数: 0
Fiber Identification in Cross Section of Blended Yarn on Back Propagation Neural Network 基于反向传播神经网络的混纺纱截面纤维识别
IF 0.7 4区 工程技术 Q4 MATERIALS SCIENCE, TEXTILES Pub Date : 2021-12-01 DOI: 10.14504/ajr.8.s2.19
Zhang Rui, Na Ding, Xinfeng Lu, Yingqi Xu, Bin-jie Xin
An intelligent recognition algorithm was developed to identify fibers in the cross sections of blended yarn containing meta-aramid 1313 (Nomex), poly(phenylene-1,3,4-oxadiazole) (POD), flame resistant viscose, and flame-resistant vinylon. The yarn cross section image was obtained at x400 magnification. Drawing software was used to manually isolate single fiber images for training the back propagation (BP) neural network model in Matlab language image processing software. The GrabCut algorithm was used to de-noise the image and separate the target from the background. Finally, single fiber images and fiber distributions were obtained through the program. The result showed that the BP neural network model with the GrabCut algorithm can identify fiber type in a complex background more easily and more accurately than traditional algorithms.
开发了一种智能识别算法来识别含有间位芳纶1313(Nomex)、聚苯-1,3,4-恶二唑(POD)、阻燃粘胶和阻燃乙烯基的混纺纱截面中的纤维。纱线横截面图像是在x400放大倍数下获得的。在Matlab语言的图像处理软件中,使用绘图软件手动分离单根纤维图像,用于训练反向传播(BP)神经网络模型。GrabCut算法用于对图像进行去噪,并将目标与背景分离。最后,通过该程序获得了单纤维图像和纤维分布。结果表明,采用GrabCut算法的BP神经网络模型比传统算法更容易、更准确地识别复杂背景下的纤维类型。
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引用次数: 0
Extraction of Tea Natural Dye and its Dyeing Properties on Cotton Fabrics 茶天然染料的提取及其在棉织物上的染色性能
IF 0.7 4区 工程技术 Q4 MATERIALS SCIENCE, TEXTILES Pub Date : 2021-12-01 DOI: 10.14504/ajr.8.s2.17
Yunguo Zhao, Jie Liu
Natural dyestuffs are evaluated as green sources to color the fabric in the textile industry. In this study, tea natural dye extracted from Longjing tea was applied to dye cotton fabrics by different dyeing processes. The extraction process was investigated thoroughly according to orthogonal experiments to obtain the optimum results. The acid-base stability, storage stability, heat-resistance, and other properties of Longjing tea natural dye were studied. The rubbing fastness, washing fastness and color difference of natural tea dyed cotton fabrics using different dyeing processes were measured. It has been proved that pre-mordant dyeing process and reactive dyeing process are more suitable for Longjing tea natural dye. The rubbing fastness and washing fastness of the dyed cotton fabrics are both very good, fully meeting the dressing requirements.
在纺织工业中,天然染料被评价为染色织物的绿色来源。以龙井茶为原料,采用不同的染色工艺对棉织物进行染色。通过正交试验对提取工艺进行了深入研究,得到了最佳提取效果。对龙井茶天然染料的酸碱稳定性、贮存稳定性、耐热性等性能进行了研究。测定了不同染色工艺下天然茶染棉织物的摩擦牢度、洗涤牢度和色差。实验证明,预媒染剂染色法和活性染色法更适合龙井茶天然染料。染色棉织物的摩擦牢度和洗涤牢度都很好,完全满足梳妆要求。
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引用次数: 0
Preparation of Natural Silk Nanofiber/Graphene Conductive Film 天然丝纳米纤维/石墨烯导电膜的制备
IF 0.7 4区 工程技术 Q4 MATERIALS SCIENCE, TEXTILES Pub Date : 2021-12-01 DOI: 10.14504/ajr.8.s2.11
Ao Huang, Shuqin Yan, Hongdou Fan, Zhanao Hu, Qiang Zhang
The use of natural silk nanofibers (SNFs) in flexible materials has been widely studied in recent years. However, the reported preparation methods are not suitable for commercial consideration. We report a method for rapid preparation of silk nanofibers in water. Silk nanofibers were mixed with graphene to prepare composite conductive silk films (CSF) with good flexibility and conductivity. Micro-morphology shows that graphene is embedded and modified between silk nanofibers to form a stable structure. Infrared analysis showed that graphene compounds do not alter silk formation, especially in the stable silk structure. Resistance tests show that the process is most effective when the ratio of SNFs to graphene is 1:3. This study offers a new approach to fabricating bioelectric devices.
近年来,天然丝纳米纤维在柔性材料中的应用得到了广泛的研究。然而,所报道的制备方法不适合商业考虑。本文报道了一种在水中快速制备丝纳米纤维的方法。将丝纳米纤维与石墨烯混合,制备出具有良好柔韧性和导电性的复合导电丝膜。微观形貌表明,石墨烯嵌入并修饰在丝纳米纤维之间,形成稳定的结构。红外分析表明,石墨烯化合物不会改变丝的形成,特别是在稳定的丝结构中。电阻测试表明,当SNFs与石墨烯的比例为1:3时,该工艺最有效。本研究提供了一种制造生物电器件的新方法。
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引用次数: 0
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AATCC Journal of Research
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