Skip to content
UT Oriental
  • Inicio
  • Soporte Técnico

UT Oriental
  • Inicio
  • Soporte Técnico

Feature selection-driven machine learning for parallel species authentication and adulteration quantification in commercial dairy products via Raman fingerprints

Leave a Comment / Procesos Alimentarios / By admin
Bookmark (0)
Please login to bookmark Close

Publication date: 15 December 2025

Source: LWT, Volume 238

Author(s): Yaju Zhao, Xiaofeng Ni, Minmin Tang

Publication date: 15 December 2025Source: LWT, Volume 238Author(s): Yaju Zhao, Xiaofeng Ni, Minmin Tang Read More

Related posts:

Default ThumbnailZein/eugenol electrospun mats on gelatin/laponite substrate for developing bilayer functional food packaging Default ThumbnailGenomic insights into adhesion mechanisms of Tibetan yak milk-derived Lactiplantibacillus plantarum: Synergistic effects of co-culture on probiotic properties Default ThumbnailPreparation, physicochemical properties of Cistanche deserticola polysaccharides and their bidirectional immunomodulatory activity analysis using Caco-2 cell models Default ThumbnailMultispectral, omics, and structural analysis of crispy pork ribs: Effects of combined pretreatment with different proteases on multidimensional quality characteristics Default ThumbnailGas-permeation controllable gelatin-based films with plant pore-like polyethyleneimine-modified porous chitosan microspheres for fruit preservation Default ThumbnailDevelopment of a multi-DNA barcode screening method for plant-derived allergen species discrimination
← Previous Post
Next Post →

Continuar buscando...

Nueva Información Actualizada

    © 2026 UT Oriental | Powered by UT Oriental

    Aviso importante: Por motivos de actualización administrativa y renovación de licencias, el servicio de esta biblioteca entrará en pausa próximamente.