Preparation and Characterisation of Temperature Regulating Silk Cocoon Extract (Sericin)/PVA Based Smart fabric

Silk proteins have many advantageous components including proteins and pigments. The proteins—sericin and fibroin—have been widely studied for medical applications due to their good physiochemical properties and biological activities. Various strains of cocoon display different compositions such as amino-acid profiles and levels of antioxidant activity. Therefore, the objectives of this study were to find a suitable silk protein extraction method to obtain products with chemical and biological properties suitable as functional foods in two strains of Bombyx mori silk cocoon (Nangsew strains; yellow cocoon) and Samia ricini silk cocoon (Eri strains; white cocoon) extracted by water at 100 °C for 2, 4, 6 and 8 h. The results showed that Nangsew strains extracted for 6 h contained the highest amounts of protein, amino acids, total phenolics (TPC) and total flavonoids (TFC), plus DPPH radical-scavenging activity, ABTS radical scavenging capacity, and ferric reducing antioxidant power (FRAP), anti-glycation, α-amylase and α-glucosidase inhibition. The longer extraction time produced higher concentrations of amino acids, contributing to sweet and umami tastes in both silk strains. It seemed that the bitterness decreased as the extraction time increased, resulting in improvements in the sweetness and umami of silk-protein extracts.

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Study on cocoonase, sericin, and degumming of silk cocoon: computational and experimental

Journal of Genetic Engineering and Biotechnology ◽

10.1186/s43141-021-00125-2 ◽

2021 ◽

Vol 19 (1) ◽

Author(s):

Preeti Anand ◽

Jay Prakash Pandey ◽

Dev Mani Pandey

Keyword(s):

San Francisco ◽

Tertiary Structure ◽

Polyacrylamide Gel Electrophoresis ◽

Sodium Dodecyl ◽

Evolutionary Genetics ◽

Imaging Analysis ◽

Silk Cocoon ◽

Natural Color ◽

Sds Page

Abstract Background Cocoonase is a proteolytic enzyme that helps in dissolving the silk cocoon shell and exit of silk moth. Chemicals like anhydrous Na2CO3, Marseille soap, soda, ethylene diamine and tartaric acid-based degumming of silk cocoon shell have been in practice. During this process, solubility of sericin protein increased resulting in the release of sericin from the fibroin protein of the silk. However, this process diminishes natural color and softness of the silk. Cocoonase enzyme digests the sericin protein of silk at the anterior portion of the cocoon without disturbing the silk fibroin. However, no thorough characterization of cocoonase and sericin protein as well as imaging analysis of chemical- and enzyme-treated silk sheets has been carried out so far. Therefore, present study aimed for detailed characterization of cocoonase and sericin proteins, phylogenetic analysis, secondary and tertiary structure prediction, and computational validation as well as their interaction with other proteins. Further, identification of tasar silkworm (Antheraea mylitta) pupa stage for cocoonase collection, its purification and effect on silk sheet degumming, scanning electron microscope (SEM)-based comparison of chemical- and enzyme-treated cocoon sheets, and its optical coherence tomography (OCT)-based imaging analysis have been investigated. Various computational tools like Molecular Evolutionary Genetics Analysis (MEGA) X and Figtree, Iterative Threading Assembly Refinement (I-TASSER), self-optimized predicted method with alignment (SOPMA), PROCHECK, University of California, San Francisco (UCSF) Chimera, and Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) were used for characterization of cocoonase and sericin proteins. Sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE), protein purification using Sephadex G 25-column, degumming of cocoon sheet using cocoonase enzyme and chemical Na2CO3, and SEM and OCT analysis of degummed cocoon sheet were performed. Results Predicted normalized B-factors of cocoonase and sericin with respect to α and β regions showed that these regions are structurally more stable in cocoonase while less stable in sericin. Conserved domain analysis revealed that B. mori cocoonase contains a trypsin-like serine protease with active site range 45 to 180 query sequences while substrate binding site from 175 to 200 query sequences. SDS-PAGE analysis of cocoonase indicated its molecular weight of 25–26 kDa. Na2CO3 treatment showed more degumming effect (i.e., cocoon sheet weight loss) as compared to degumming with cocoonase. However, cocoonase-treated silk cocoon sheet holds the natural color of tasar silk, smoothness, and luster compared with the cocoon sheet treated with Na2CO3. SEM-based analysis showed the noticeable variation on the surface of silk fiber treated with cocoonase and Na2CO3. OCT analysis also exemplified the variations in the cross-sectional view of the cocoonase and Na2CO3-treated silk sheets. Conclusions Present study enlightens on the detailed characteristics of cocoonase and sericin proteins, comparative degumming activity, and image analysis of cocoonase enzyme and Na2CO3 chemical-treated silk sheets. Obtained findings illustrated about use of cocoonase enzyme in the degumming of silk cocoon at larger scale that will be a boon to the silk industry.

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RELATIVE IMPACTS OF DIFFERENT DIETS ON THE QUALITIES OF ERI SILK COCOON AND ERI SILK YARN OF FOUR DIFFERENT MUTANTS STRAINS OF PHILOSAMIA RICINI Bsd.

International Journal of Research -GRANTHAALAYAH ◽

10.29121/granthaalayah.v4.i11.2016.2422 ◽

2016 ◽

Vol 4 (11) ◽

pp. 77-81

Author(s):

Akhilesh Kumar Gahlaut ◽

Arjun

Keyword(s):

Food Plants ◽

Relative Impact ◽

Shell Weight ◽

Silk Cocoon ◽

Average Production ◽

The Status ◽

Average Size ◽

Eri Silk ◽

Better Than ◽

Silk Yarn

The relative impact of different food plants (diets) namely foliages of castor, kesseru , payam and Topioca plants on the four different mutant strain viz; yellow plain, yellow zebra ,G.B Plain ,G.B Zebra in respect of qualities of their eri cocoon and eri silk yarn have been evaluated under the reeling parameters.Result indicate that among the four different food plants like foliages of castor followed by kesseru have been found evidently better than the foliages of payam and Topiocal in respect of average cocoon weight (gm)4.10,3.55,3.98,3.10,Average shell weight (gm) 0.55,0.45,0.52,0.41,Average shell ratio 13.91,12.0,13.0,11.55,Average lengt- h of silk yarn (mtrs) 2510,2350,2498,2285,Average size of erisilk(D)13D,11D,12D,19D,Average production of eri silk per hr(gm)13.70,12.50,13.10,11.95,Average tenacity of fibre (g/d) 14.0,11.0,12.0,10.0.As far as qualitative differences of all the four food plants in relation to qualities of eri cocoon and eri silk yarn are concerned the castor alongwith kesseru food plants have achieved the status of supremacy primary food plant and payam and tapioca the states of secondary food plants .These variation show that the qualities and production of eri silk cocoon and eri silk yarn depends on the different food plants.

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Extreme learning machines for weather-based modelling of silk cocoon production

Journal of Agrometeorology ◽

10.54386/jam.v24i1.946 ◽

2022 ◽

Vol 24 (1) ◽

Author(s):

PRAMIT PANDIT ◽

BISHVAJIT BAKSHI ◽

SHILPA M.

Keyword(s):

Neural Network ◽

Network Models ◽

Extreme Learning Machines ◽

Linear Regression Models ◽

Weather Variables ◽

Neural Network Models ◽

Cocoon Production ◽

Silk Cocoon ◽

Learning Machines ◽

Non Linear

In spite of the immense popularity and sheer power of the neural network models, their application in sericulture is still very much limited. With this backdrop, this study evaluates the suitability of neural network models in comparison with the linear regression models in predicting silk cocoon production of the selected six districts (Kolar, Chikballapur, Ramanagara, Chamarajanagar, Mandya and Mysuru) of Karnataka by utilising weather variables for ten consecutive years (2009-2018). As the weather variables are found to be correlated, principal components are obtained and fed into the linear (principal component regression) and non-linear models (back propagation-artificial neural network and extreme learning machine) as inputs. Outcomes emanated from this experiment have revealed the clear advantages of employing extreme learning machines (ELMs) for weather-based modelling of silk cocoon production. Application of ELM would be particularly useful, when the relation between production and its attributing characters is complex and non-linear.

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Silk Cocoon as Counter - Electrode Substrate in Dye - Sensitized Solar Cells

ChemistrySelect ◽

10.1002/slct.201800856 ◽

2018 ◽

Vol 3 (25) ◽

pp. 7195-7199 ◽

Cited By ~ 2

Author(s):

Vediappan Sudhakar ◽

Chayanika Das ◽

Kothandam Krishnamoorthy

Keyword(s):

Solar Cells ◽

Counter Electrode ◽

Dye Sensitized Solar Cells ◽

Silk Cocoon ◽

Dye Sensitized ◽

Sensitized Solar Cells

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Bioethanol Production by Pichia stipitis Immobilized on Water Hyacinth and Thin-Shell Silk Cocoon

Applied Science and Engineering Progress ◽

10.14416/j.asep.2021.03.006 ◽

2021 ◽

Author(s):

Suchata Kirdponpattara ◽

Santi Chuetor ◽

Malinee Sriariyanun ◽

Muenduen Phisalaphong

Keyword(s):

Water Hyacinth ◽

Thin Shell ◽

Immobilized Cells ◽

High Surface ◽

Pichia Stipitis ◽

High Porosity ◽

Bioethanol Production ◽

Immobilized Cell ◽

Silk Cocoon ◽

Cell Carriers

Cell immobilization technique was applied in this study in order to examine effect of immobilized Pichia stipitis TISTR5806 on bioethanol production. Water hyacinth (WH) and thin-shell silk cocoon (CC) were used as cell carriers. Characteristics of the cell carriers were examined to explain the mechanism of bioethanol production. Carrier sizes and weights were optimized to improve bioethanol production. Moreover, stabilities of immobilized cells and carriers were evaluated. Because of high porosity, high surface area and good swelling ability of WH, cell immobilized on 1 g WH with 1 cm length produced the highest ethanol concentration at 13.3 g/L. Five cycles of a repeated batch of immobilized cell (IC) system on WH showed stable performance in ethanol production (8.2–10.4 g/L) with large numbers of the immobilized cells. The interaction between the immobilized cells and the WH surface were discovered.

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