Modification of Wool Fibers via Base/Cationic Detergent Pretreatment and Transglutaminase-mediated Reaction of Keratin

2021 ◽  
pp. 1-11
Author(s):  
Nusheng Chen ◽  
ChengKung Liu ◽  
Richard Ashby
Keyword(s):  
Cationic Detergent ◽  
Wool Fibers

The internal structure of medullated wool

1984 ◽  
Vol 42 ◽  
pp. 388-389
Author(s):  
Leo Barish
Keyword(s):  
Light Microscopy ◽  
Internal Structure ◽  
Wool Fiber ◽  
Guard Hair ◽  
Bright Field ◽  
Wool Fibers ◽  
Thin Skin ◽  
Air Pockets

Although most of the wool used today consists of fine, unmedullated down-type fibers, a great deal of coarse wool is used for carpets, tweeds, industrial fabrics, etc. Besides the obvious diameter difference, coarse wool fibers are often medullated.Medullation may be easily observed using bright field light microscopy. Fig. 1A shows a typical fine diameter nonmedullated wool fiber, Fig. IB illustrates a coarse fiber with a large medulla. The opacity of the medulla is due to the inability of the mounting media to penetrate to the center of the fiber leaving air pockets. Fig. 1C shows an even thicker fiber with a very large medulla and with very thin skin. This type of wool is called “Kemp”, is shed annually or more often, and corresponds to guard hair in fur-bearing animals.

Insulating Composites Made from Sulfur, Canola Oil, and Wool

2020 ◽  
Author(s):  
Israa Bu Najmah ◽  
Nicholas Lundquist ◽  
Melissa K. Stanfield ◽  
Filip Stojcevski ◽  
Jonathan A. Campbell ◽  
...  
Keyword(s):  
Tensile Strength ◽  
Canola Oil ◽  
Building Blocks ◽  
Atom Economy ◽  
Flame Resistance ◽  
Sustainable Building ◽  
Second Stage ◽  
Wool Fibers ◽  
Insulating Properties ◽  
Polysulfide Polymer

An insulating composite was made from the sustainable building blocks wool, sulfur, and canola oil. In the first stage of the synthesis, inverse vulcanization was used to make a polysulfide polymer from the canola oil triglyceride and sulfur. This polymerization benefits from complete atom economy. In the second stage, the powdered polymer is mixed with wool, coating the fibers through electrostatic attraction. The polymer and wool mixture is then compressed with mild heating to provoke S-S metathesis in the polymer, which locks the wool in the polymer matrix. The wool fibers impart tensile strength, insulating properties, and flame resistance to the composite. All building blocks are sustainable or derived from waste and the composite is a promising lead on next-generation insulation for energy conservation.

Application of RT-PCR for the Detection of Enteric Viruses in Oysters

1993 ◽  
Vol 27 (3-4) ◽  
pp. 49-53 ◽  
Author(s):  
L. A. Jaykus ◽  
R. De Leon ◽  
M. D. Sobsey
Keyword(s):  
Enteric Viruses ◽  
Rt Pcr ◽  
Chloroform Extraction ◽  
Cationic Detergent

Oyster samples processed by adsorption-elution-precipitation were seeded with poliovirus 1 and HAV, and cleaned and concentrated by Freon extraction (2X), PEG precipitation and chloroform extraction. Freon extraction resulted in recoveries of 63-76% for polio and 42-52% for HAV. PEG precipitation/chloroform extraction gave recoveries of 47-50% for polio and 15-19% for HAV. Treated extracts inhibited RT-PCR at 10−2 dilutions. Inhibitors were removed by treatment with the cationic detergent CTAB or Pro-Cipitate/UF adsorption-elution-concentration. Both treatments resulted in samples on which direct RT-PCR was possible. The CTAB procedure was able to detect 78 pfu of polio and 295 pfu of HAV. The Pro-Cipitate procedure was able to detect 70 pfu polio and 2.1×103 pfu HAV.

scholarly journals Utilization of waste wool fibers for fabrication of wool powders and keratin: a review

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Chunhua Zhang ◽  
Liangjun Xia ◽  
Jiajing Zhang ◽  
Xin Liu ◽  
Weilin Xu
Keyword(s):  
Wool Fibers

scholarly journals Cashmere and wool identification based on convolutional neural network

2021 ◽  
Vol 16 ◽  
pp. 155892502110050
Author(s):  
Junli Luo ◽  
Kai Lu ◽  
Yueqi Zhong ◽  
Boping Zhang ◽  
Huizhu Lv
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Morphological Characteristics ◽  
Identification Accuracy ◽  
Test Set ◽  
Image Preprocessing ◽  
Softmax Regression ◽  
Wool Fibers ◽  
Chinese White ◽  
Multi Classification

Wool fiber and cashmere fiber are similar in physical and morphological characteristics. Thus, the identification of these two fibers has always been a challenging proposition. This study identifies five kinds of cashmere and wool fibers using a convolutional neural network model. To this end, image preprocessing was first performed. Then, following the VGGNet model, a convolutional neural network with 13 weight layers was established. A dataset with 50,000 fiber images was prepared for training and testing this newly established model. In the classification layer of the model, softmax regression was used to calculate the probability value of the input fiber image for each category, and the category with the highest probability value was selected as the prediction category of the fiber. In this experiment, the total identification accuracy of samples in the test set is close to 93%. Among these five fibers, Mongolian brown cashmere has the highest identification accuracy, reaching 99.7%. The identification accuracy of Chinese white cashmere is the lowest at 86.4%. Experimental results show that our model is an effective approach to the identification of multi-classification fiber.

scholarly journals Silane-Functionalized Sheep Wool Fibers from Dairy Industry Waste for the Development of Plasticized PLA Composites with Maleinized Linseed Oil for Injection-Molded Parts

Polymers ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 2523
Author(s):  
Franciszek Pawlak ◽  
Miguel Aldas ◽  
Francisco Parres ◽  
Juan López-Martínez ◽  
Marina Patricia Arrieta
Keyword(s):  
Linseed Oil ◽  
Microstructural Analysis ◽  
Dairy Industry ◽  
Poly Lactic Acid ◽  
Industry Waste ◽  
Wool Fibers ◽  
Molded Parts ◽  
Silane Modification ◽  
Injection Molded ◽  
Sheep Wool

Poly(lactic acid) (PLA) was plasticized with maleinized linseed oil (MLO) and further reinforced with sheep wool fibers recovered from the dairy industry. The wool fibers were firstly functionalized with 1 and 2.5 phr of tris(2-methoxyethoxy)(vinyl) (TVS) silane coupling agent and were further used in 1, 5, and 10 phr to reinforce the PLA/MLO matrix. Then, the composite materials were processed by extrusion, followed by injection-molding processes. The mechanical, thermal, microstructural, and surface properties were assessed. While the addition of untreated wool fibers to the plasticized PLA/MLO matrix caused a general decrease in the mechanical properties, the TVS treatment was able to slightly compensate for such mechanical losses. Additionally, a shift in cold crystallization and a decrease in the degree of crystallization were observed due to the fiber silane modification. The microstructural analysis confirmed enhanced interaction between silane-modified fibers and the polymeric matrix. The inclusion of the fiber into the PLA/MLO matrix made the obtained material more hydrophobic, while the yellowish color of the material increased with the fiber content.

scholarly journals Color-Variable Photodynamic Antimicrobial Wool/Acrylic Blended Fabrics

Materials ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4141
Author(s):  
Tingting Wang ◽  
Wangbingfei Chen ◽  
Tingting Dong ◽  
Zihao Lv ◽  
Siming Zheng ◽  
...  
Keyword(s):  
Low Cost ◽  
Pathogen Transmission ◽  
Cationic Dyes ◽  
Light Illumination ◽  
Antibacterial Studies ◽  
Wool Fibers ◽  
Visible Light Illumination ◽  
Potential Applications ◽  
Dyed Fabrics ◽  
Acrylic Fibers

Towards the goal of developing scalable, economical and effective antimicrobial textiles to reduce infection transmission, here we prepared color-variable photodynamic materials comprised of photosensitizer (PS)-loaded wool/acrylic (W/A) blends. Wool fibers in the W/A blended fabrics were loaded with the photosensitizer rose bengal (RB), and the acrylic fibers were dyed with a variety of traditional cationic dyes (cationic yellow, cationic blue and cationic red) to broaden their color range. Investigations on the colorimetric and photodynamic properties of a series of these materials were implemented through CIELab evaluation, as well as photooxidation and antibacterial studies. Generally, the photodynamic efficacy of these dual-dyed fabrics was impacted by both the choice, and how much of the traditional cationic dye was employed in the dyeing of the W/A fabrics. When compared with the PS-only singly-dyed material, RB-W/A, that showed a 99.97% (3.5 log units; p = 0.02) reduction of Staphylococcus aureus under visible light illumination (λ ≥ 420 nm, 60 min), the addition of cationic dyes led to a slight decrease in the photoinactivation ability of the dual-dyed fabrics, but was still able to achieve a 99.3% inactivation of S. aureus. Overall, our findings demonstrate the feasibility and potential applications of low cost and color variable RB-loaded W/A blended fabrics as effective self-disinfecting textiles against pathogen transmission.

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