scholarly journals Application of Nano Sericin Finish on Polyester Fabric

2021 ◽  
pp. 71-76
Author(s):  
Arunkumar K.V ◽  
Deepika Priya A ◽  
Gomathi K
Keyword(s):  
Extraction Methods ◽  
Polyester Fabric ◽  
Silk Fiber ◽  
Fiber Production ◽  
Natural Protein ◽  
Protein Fiber ◽  
Degumming Process ◽  
Almost All ◽  
Production Industry

Textiles of today are materials with applications in almost all our activities, Silk is a natural protein fiber used by mankind for more centuries. The silk fiber mainly contains two types of proteins they are fibroin and sericin. The sticky protein sericin is removed in the degumming process and discarded as wastewater in silk fiber production industry. In this study, the wastewater sericin is collected from the industry and recovered the sericin by various extraction methods. Then convert into nano sericin particles and the nanosericin is applied to the polyester fabric to improve the absorbency property of the fabric.

Effect of conventional degumming methods on Eri silk fibers produced in Kenya

2020 ◽  
Vol 24 (2) ◽  
pp. 163-182
Author(s):  
Edison Omollo Oduor ◽  
Lucy Wanjiru Ciera ◽  
Vijay Adolkar ◽  
Odoch Pido
Keyword(s):  
Thermal Properties ◽  
Rural Areas ◽  
Fiber Strength ◽  
Silk Fiber ◽  
Small Scale ◽  
Content Type ◽  
Silk Fibers ◽  
Fiber Production ◽  
Alkali Medium ◽  
Eri Silk

Purpose This paper aims to determine the best conventional degumming technique for use by rural farmers practicing Eri silk fiber production in Kenya. Design/methodology/approach Three conventional silk degumming methods (water, soap and alkali) were analyzed under the factors, namely, time, pressure and degumming media, following the multilevel factorial design of experiments. The effect of variables on degumming weight loss was determined. The effects of the conventional degumming methods that produced complete sericin removal on chemical structure, surface morphology, thermal properties, crystallinity and fiber strength on Eri silk fibers produced in Kenya were then determined. The optimal degumming condition was then evaluated. Findings Soap and water degumming led to incomplete sericin removal. Alkali degumming media had the most effect, especially when pressure cooked at 103 kPa. Increasing time during alkali degumming beyond 30 min did not to have any major difference on degumming loss (at p 0.05). There were no major changes in chemical and thermal properties after degumming. However, the tensile strength and elongation deteriorated especially on alkali medium. Decreasing degumming time in alkali medium from 120 min to 30 min reduced the strength loss from 45% to 33%. Optimal degumming was found to be in an alkali media at 103 kPa for 30 min. Originality/value There is very little information available on Eri silk fibers produced in Kenya. Results of this study provide an optimized conventional degumming procedure suitable for small scale farmers in rural areas practicing Eri silk fiber production.

scholarly journals Use of Conventional and Innovative Technologies for the Production of Food Grade Hop Extracts: Focus on Bioactive Compounds and Antioxidant Activity

Plants ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 41
Author(s):  
Veronica Santarelli ◽  
Lilia Neri ◽  
Katya Carbone ◽  
Valentina Macchioni ◽  
Paola Pittia
Keyword(s):  
Bioactive Compounds ◽  
Extraction Method ◽  
Industrial Process ◽  
Extraction Methods ◽  
Total Phenolic ◽  
Total Carotenoids ◽  
Power Ultrasound ◽  
Food Grade ◽  
High Power Ultrasound ◽  
Almost All

This study investigated the use of conventional and innovative extraction methods to produce food-grade hop extracts with high antioxidant capacity and content in bioactive compounds. Conventional extractions (CONV) were performed under dynamic maceration at 25 and 60 °C; innovative extractions were performed using two ultrasound systems, a laboratory bath (US) and a high-power ultrasound bath (HPUS), and a high-pressure industrial process. For CONV, US, and HPUS extractions the effect of the extraction time was also tested. Experimental results showed that extraction method, temperature, and time affect to a different extent the phenolic profile and have a significant effect (p < 0.05) on the total phenolic content, total flavonoid content, antiradical capacity (ABTS), chlorophyll α, and total carotenoids content. Overall, US and CONV 60 °C extractions showed the highest extraction efficiency for almost all the investigated compounds, however, the extraction method and time to be used strongly depends on the target compounds to extract.

scholarly journals Recent Advances and Insights into Bromelain Processing, Pharmacokinetics and Therapeutic Uses

2021 ◽  
Vol 11 (18) ◽  
pp. 8428
Author(s):  
Alessandro Colletti ◽  
Shuyi Li ◽  
Mauro Marengo ◽  
Salvatore Adinolfi ◽  
Giancarlo Cravotto
Keyword(s):  
Clinical Trials ◽  
Proteolytic Enzymes ◽  
Health Sector ◽  
Extraction Methods ◽  
Market Demand ◽  
Randomized Controlled Clinical Trials ◽  
Aerial Parts ◽  
Extraction And Purification ◽  
Therapeutic Uses ◽  
Almost All

Bromelain is a mixture of proteolytic enzymes that is extracted primarily from pineapples. It is present in almost all the aerial parts of the plant—the peels, leaves, stems and fruit—although only the fruit and stems contain significant amounts. The market-demand for bromelain is quickly increasing, especially in the health sector as it can be used as a drug and/or nutraceutical. Although the complete molecular mechanism has not been fully identified, bromelain possesses several properties, including anti-inflammatory, anti-oedema, antithrombotic and fibrinolytic, mucolytic, anticancer and cicatrizing effects that have been evaluated in several clinical trials. However, one of the main limitations for the clinical use of this supplement is the varying composition of extracts, which leads to heterogeneity in results and, therefore, difficulty in making evidence-based prescriptions. In fact, different geographic locations, land and modes of cultivation, as well as extraction methods, can all give extracts with different activities, depending on the plant part used. Additionally, although novel extraction techniques have been developed to improve bromelain purification and extraction and give higher yields without loss in enzymatic activity, these methods are still expensive and challenging. This review will describe the state of the art in the main conventional and unconventional extraction and purification methods of bromelain and discuss the advantages and limitations of these strategies. Pharmacokinetic and pharmacodynamic profiles and the clinical applications that have arisen from randomized controlled clinical trials are also discussed. Finally, future perspectives for bromelain extracts will be presented.

URLCam: Toolkit for malicious URL analysis and modeling

2021 ◽  
pp. 1-15
Author(s):  
Mohammed Ayub ◽  
El-Sayed M. El-Alfy
Keyword(s):  
Machine Learning ◽  
Feature Extraction ◽  
Feature Selection ◽  
State Of The Art ◽  
Learning Algorithms ◽  
Extraction Methods ◽  
Machine Learning Algorithms ◽  
The Other ◽  
Imbalanced Learning ◽  
Almost All

Web technology has become an indispensable part in human’s life for almost all activities. On the other hand, the trend of cyberattacks is on the rise in today’s modern Web-driven world. Therefore, effective countermeasures for the analysis and detection of malicious websites is crucial to combat the rising threats to the cyber world security. In this paper, we systematically reviewed the state-of-the-art techniques and identified a total of about 230 features of malicious websites, which are classified as internal and external features. Moreover, we developed a toolkit for the analysis and modeling of malicious websites. The toolkit has implemented several types of feature extraction methods and machine learning algorithms, which can be used to analyze and compare different approaches to detect malicious URLs. Moreover, the toolkit incorporates several other options such as feature selection and imbalanced learning with flexibility to be extended to include more functionality and generalization capabilities. Moreover, some use cases are demonstrated for different datasets.

scholarly journals Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification

2021 ◽  
Author(s):  
Ying Bi ◽  
Mengjie Zhang ◽  
Bing Xue
Keyword(s):  
Feature Extraction ◽  
Genetic Programming ◽  
Image Classification ◽  
Extraction Methods ◽  
Input Image ◽  
Image Features ◽  
Local Feature ◽  
Almost All ◽  
Local Feature Extraction ◽  
Global And Local

© 2018 IEEE. Feature extraction is an essential process to image classification. Existing feature extraction methods can extract important and discriminative image features but often require domain expert and human intervention. Genetic Programming (GP) can automatically extract features which are more adaptive to different image classification tasks. However, the majority GP-based methods only extract relatively simple features of one type i.e. local or global, which are not effective and efficient for complex image classification. In this paper, a new GP method (GP-GLF) is proposed to achieve automatically and simultaneously global and local feature extraction to image classification. To extract discriminative image features, several effective and well-known feature extraction methods, such as HOG, SIFT and LBP, are employed as GP functions in global and local scenarios. A novel program structure is developed to allow GP-GLF to evolve descriptors that can synthesise feature vectors from the input image and the automatically detected regions using these functions. The performance of the proposed method is evaluated on four different image classification data sets of varying difficulty and compared with seven GP based methods and a set of non-GP methods. Experimental results show that the proposed method achieves significantly better or similar performance than almost all the peer methods. Further analysis on the evolved programs shows the good interpretability of the GP-GLF method.

scholarly journals Dilemma and Solution of Traditional Feature Extraction Methods Based on Inertial Sensors

2018 ◽  
Vol 2018 ◽  
pp. 1-6
Author(s):  
Zhiqiang Peng ◽  
Yue Zhang
Keyword(s):  
Feature Extraction ◽  
Angular Velocity ◽  
Frequency Domain ◽  
Time Domain ◽  
Inertial Sensors ◽  
Extraction Methods ◽  
Feature Extraction Method ◽  
The Difference ◽  
The Time Domain ◽  
Almost All

Correctly identifying human activities is very significant in modern life. Almost all feature extraction methods are based directly on acceleration and angular velocity. However, we found that some activities have no difference in acceleration and angular velocity. Therefore, we believe that for these activities, any feature extraction method based on acceleration and angular velocity is difficult to achieve good results. After analyzing the difference of these indistinguishable movements, we propose several new features to improve accuracy of recognition. We compare the traditional features and our custom features. In addition, we examined whether the time-domain features and frequency-domain features based on acceleration and angular velocity are different. The results show that (1) our custom features significantly improve the precision of the activities that have no difference in acceleration and angular velocity; and (2) the combination of time-domain features and frequency-domain features does not significantly improve the recognition of different activities.

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