Turning Waste into Fiber: Creating a Sustainable Alternative with Casein Protein from Expired Milk


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Authors

  • Yiren Hou, MS Department of Biostatistics, Yale School of Public Health, New Haven, CT 06510, USA
  • Md Mazbah Uddin Department of Textiles, Merchandising and Interiors, University of Georgia, Athens, GA 30602, USA
  • Abhyuday Mandal Department of Statistics, University of Georgia, Athens, GA 30602, USA
  • Suraj Sharma, PhD 2Department of Textiles, Merchandising and Interiors, University of Georgia, Athens, GA 30602, USA

https://doi.org/10.56093/jisas.v79i2.181850

Keywords:

Beeswax; Casein; Cellulose Nanofibrils; Ordinal Logistic Regression; Orthogonal Arrays

Abstract

The milk and clothing industries produce substantial waste. However, this wasted or expired milk can be reused due to its composition, specifically 
a milk protein called casein. The milk fiber created from casein is a sustainable alternative to other textiles. This research aims to find the optimal 
process for making a strong milk fiber. Following environmentally friendly steps in creating the milk fiber, various additives were used in the dope 
for fiber extrusion. These additives or predictors, assigned with different weight concentrations, include casein powder, cellulose nanofibril, beeswax, 
and corn protein zein. An orthogonal array-based maximin design was identified for this project. Experiments were conducted following this plan. 
Qualitative observations of the extruded fiber were recorded and classified as an ordinal categorical response with three levels for strength. Under 
ordinal logistic regression, beeswax and casein have a greater effect on the strength, while cellulose nanofibrils exhibit a quadratic relationship with 
the strength of the fiber.

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Submitted

2026-07-24

Published

2026-07-24

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Articles

How to Cite

Yiren Hou, MS, Md Mazbah Uddin, Abhyuday Mandal, & Suraj Sharma, PhD. (2026). Turning Waste into Fiber: Creating a Sustainable Alternative with Casein Protein from Expired Milk. Journal of the Indian Society of Agricultural Statistics, 79(2), 79-85. https://doi.org/10.56093/jisas.v79i2.181850
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