Data used for article "Chemical composition and techno-functional properties of high-purity water-soluble keratein and its enzymatic hydrolysates" - Open Research Data - Bridge of Knowledge

Your account

login

Search

Data used for article "Chemical composition and techno-functional properties of high-purity water-soluble keratein and its enzymatic hydrolysates"

Description

The dataset contains data regarding chicken feather keratin isolate (KI) obtained by reductive extraction with L-cysteine and its enzymatic hydrolysates produced by trypsin (KI-T), chymotrypsin (KI-C), pepsin (KI-P) and subtilisin (KI-S). The dataset includes data on the keratin extraction yield (% of feather solubilization), data from high-performance size exclusion chromatography (HP-SEC) analyses, data used for determining the degree of hydrolysis (DH) using o-phthaldialdehyde (OPA) and pH-stat methods (DH-OPA and DH-pH-stat, respectively), data from attenuated total reflectance Fourier transform infrared (ATR FT-IR) spectroscopy, data from proximate composition analysis, data on total and free amino acid composition, data used for solubility analysis, data used for determining the least gelling concentration (LGC), data on water holding capacity (WHC) and oil holding capacity (OHC), data on foaming capacity (FC) and foam stability (FS), and data on emulsifying capacity (EC) and emulsion stability (ES).

This work was supported by the Polish national research budget, under the National Science Centre grant number DEC-2021/41/N/NZ9/04466 and Irish Department of Agriculture, Food & Marine DAFM-2019R495-INFOTECH.

Dataset file

Dataset Part I (12.12.2024).zip
1.8 MB, S3 ETag 0d0a9e056a3b0ccdaddf2a517913bd7c-1, downloads: 12
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5
download file Dataset Part I (12.12.2024).zip

File details

License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution

Details

Year of publication:
2024
Verification date:
2024-12-30
Dataset language:
English
Fields of science:
  • chemical sciences (Natural sciences)
DOI:
DOI ID 10.34808/7548-pd20 open in new tab
Funding:
Verified by:
Gdańsk University of Technology

Keywords

Cite as

Authors

seen 136 times