Emerging trends in the detection of adulteration in pulses: from phenotypic traits to imaging and molecular tools – a systematic review
Abstract
Graphical abstract highlights the nutritional value of pulses and key adulteration types. It summarizes traditional and advanced detection methods, emphasizing computer vision and machine learning for rapid, non-destructive quality assessment.
Fields of Study & Subjects
Spectroscopy and Chemometric Analyses
Identification and Quantification in Food
Radiation Effects and Dosimetry
Publication details
- Journal / source
- Sustainable Food Technology
- Publisher
- Royal Society of Chemistry (RSC)
- Volume
- 4
- Issue
- 3
- Pages
- 2237–2265
- Publication date
- 1 January 2026
- Language
- EN