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Optimization of Collagen Extraction from Fish Scales Using Tris-Glycine Buffer: A Taguchi Methodological Approach
Mokgadi Ursula Makgobole1,2, Stanley Chibuzor Onwubu3, Abayomi Baruwa4
1School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban 4001, South Africa.
Marine Drugs
|December 27, 2024
Summary
This study optimized fish scale collagen extraction using the Taguchi method, achieving high purity and confirming type I collagen. This sustainable approach reduces waste in fish processing industries.
Area of Science:
- Biomaterials Science
- Biotechnology
- Sustainable Chemistry
Background:
- Collagen is a vital biomaterial used in pharmaceuticals, cosmetics, and medical applications.
- Fish scales represent an abundant and sustainable source for collagen extraction, minimizing waste from the fish processing industry.
Purpose of the Study:
- To optimize collagen extraction from fish scales using the Taguchi method.
- To identify key parameters influencing collagen yield and purity.
- To validate the extracted collagen's identity and structure.
Main Methods:
- Utilized the Taguchi method to optimize extraction parameters: buffer concentration, temperature, pH, and time.
- Performed Fourier-Transform Infrared (FTIR) spectroscopy to confirm collagen's characteristic peaks.
- Conducted Sodium Dodecyl Sulfate-Polyacrylamide Gel Electrophoresis (SDS-PAGE) and amino acid analysis to assess purity and structure.
Main Results:
- Identified optimal extraction conditions yielding 17.14 ± 0.05 mg/g of collagen.
- FTIR analysis confirmed the presence of type I collagen (Amide I, II, III bands).
- SDS-PAGE and amino acid analysis (high glycine, proline, hydroxyproline) indicated fibrous collagen structures.
Conclusions:
- The Taguchi method provides an efficient and sustainable approach for extracting high-purity collagen from fish scales.
- Temperature and buffer concentration were identified as significant factors affecting collagen yield.
- Further experimental validation is recommended to fully align mathematical modeling with optimized conditions.

