Valorization of rohu fish ( <i>Labeo rohita</i> ) skin waste into high-quality type-I collagen biomaterial: Extraction, optimization, and characterization

Present study encompasses the extraction and characterization of type-I collagen from the skin waste of Rohu fish. One Variable at a Time (OVAT) and Response Surface Methodology (RSM) employing Box-Behnken Design (BBD) were utilized to optimize the extraction conditions. The observed optimal conditions during experimentation were: 0.6 M of acetic acid, 2.20 M of NaCl, 4°C of temperature, and 50.30 h of processing time. The above conditions allowed the highest collagen yield of 744.50 ± 20.05 mg/g of the wet fish skin. All selected variables indicated significant interactions throughout the collagen extraction process, as was concluded from the contour plots and analysis of variance. The interaction was investigated by employing various models among which the quadratic model got the most significant F-value along with a p- value of &lt;.0001. The collagen was further thoroughly characterized by electrophoresis, fourier transform infrared spectroscopy (FTIR), differential scanning calorimetry (DSC) and amino acid analysis. The denaturation temperature (T d ) of 97.80°C observed was comparably higher than the earlier studies, so extracted collagen is expected to have better thermal stability. The significant presence of an imino acid proline (117 residues /1000 residues), contributed positively to its thermal stability so confirming its reliability as a collagen source. The extracted collagen contained glycine as the major amino acid (334 residues/1000 residues) as indicated by amino acid analysis.

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Publication Details

Journal
Polymers from Renewable Resources
Published
2025-02-28
DOI
https://doi.org/10.1177/20412479251324779
Citations
3
Primary Topic
Collagen: Extraction and Characterization
Type
article
Field-Weighted Citation Impact
1.79
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article

Valorization of rohu fish ( Labeo rohita ) skin waste into high-quality type-I collagen biomaterial: Extraction, optimization, and characterization

Mushtaq Ahmad Rather, Massarat Majeed
3 citations
Polymers from Renewable Resources
Collagen: Extraction and Characterization
1.79
article

Valorization of rohu fish ( Labeo rohita ) skin waste into high-quality type-I collagen biomaterial: Extraction, optimization, and characterization

Mushtaq Ahmad Rather, Massarat Majeed
article en
3 citations

Abstract

Present study encompasses the extraction and characterization of type-I collagen from the skin waste of Rohu fish. One Variable at a Time (OVAT) and Response Surface Methodology (RSM) employing Box-Behnken Design (BBD) were utilized to optimize the extraction conditions. The observed optimal conditions during experimentation were: 0.6 M of acetic acid, 2.20 M of NaCl, 4°C of temperature, and 50.30 h of processing time. The above conditions allowed the highest collagen yield of 744.50 ± 20.05 mg/g of the wet fish skin. All selected variables indicated significant interactions throughout the collagen extraction process, as was concluded from the contour plots and analysis of variance. The interaction was investigated by employing various models among which the quadratic model got the most significant F-value along with a p- value of &lt;.0001. The collagen was further thoroughly characterized by electrophoresis, fourier transform infrared spectroscopy (FTIR), differential scanning calorimetry (DSC) and amino acid analysis. The denaturation temperature (T d ) of 97.80°C observed was comparably higher than the earlier studies, so extracted collagen is expected to have better thermal stability. The significant presence of an imino acid proline (117 residues /1000 residues), contributed positively to its thermal stability so confirming its reliability as a collagen source. The extracted collagen contained glycine as the major amino acid (334 residues/1000 residues) as indicated by amino acid analysis.

Polymers from Renewable ResourcesVol. 16(2-3)
National Institute of Technology Srinagar (IN)
Openalex Percentile: Top 17%
Collagen: Extraction and Characterization
1.79
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