1 publication

• Published Subscription Original Research 13 Feb 2026

  AI-Enabled Linear Regression Model for Spectroscopic Milk Adulteration Analysis

  By Mrs.Vrishali M Patil, Dr. Savita Bhosale

  Abstract: Milk adulteration poses a serious threat to public health and quality assurance in the dairy industry. This requiring rapid, reliable, and non-destructive detection techniques. This study presents a linear regression-based analytical model for identifying and quantifying milk adulteration using spectroscopic data. Spectral measurements of milk samples, including both pure and adulterated variants were acquired using spectroscopic techniques at relevant wavelengths.Blending of other components in pure milk , is specifically called …

  Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 1, 2026 · pp. 28–42 Read article →