Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
July 31, 2025Halalsphere

Integration of spectroscopy and chemometric analysis for food authentication: A review

View Full Paper
Ask AI
Bookmark
Share

Authors

KBKatrul Nadia Basri

Discussion

Loading...

Member takes

Overview

Review demonstrates how spectroscopy methods enhance food authentication, suggesting predictive algorithms improve accuracy.

Key Points

  • The integration of spectroscopy and chemometric analysis significantly enhances food authentication processes.
  • Various spectroscopic techniques, including NIR and FTIR, are shown to provide reliable results in food verification.
  • Chemometric algorithms effectively classify and regression food samples, minimizing the risk of misclassification.
  • The review indicates a trend towards real-time authentication systems using data fusion and deep learning for improved accuracy.

Cite This Study

Katrul Nadia Basri (2025) studied this question.

synapsesocial.com/papers/689a0c5fe6551bb0af8cf792https://doi.org/10.31436/hs.v5i2.127
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Chemometrics as an efficient tool for food authentication: Golden pillars for building reliable models2024 · 83 citations
  2. 2Spectroscopy-driven authentication of agro-industrial products: A comprehensive review of NMR, FT-IR, NIR and Chemometric workflows2026 · 10 citations
  3. 3Applications of NIR Spectroscopy and Chemometrics for Food Authentication and Safety: Detection of Adulterants and Contaminants2026
  4. 4Vibrational Spectroscopy Coupled with Chemometrics for Olive Oil Authentication: Recent Advances and Future Perspectives2026
  5. 5Application of machine learning and deep learning to detect adulteration in food flour based on spectroscopy data: A systematic review2025