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Integration of surface-enhanced Raman spectroscopy (SERS) and machine learning tools for coffee beverage classification

  • Published:2022-06 Issue: Volume:3 Page:100020
  • ISSN:2772-5081
  • Container-title:Digital Chemical Engineering
  • language:en
  • Short-container-title:Digital Chemical Engineering

Author:

Hu QiangORCID,Sellers Chase,Kwon Joseph Sang-Il,Wu Hung-JenORCID

Funder

National Institutes of Health

National Science Foundation Division of Chemistry

Texas A&M University System

College of Engineering, Texas A and M University

National Science Foundation

Publisher

Elsevier BV

Reference60 articles.

1. Effects of distance measure choice on K-nearest neighbor classifier performance: a review;Abu Alfeilat;Big Data,2019

2. Dimensionality reduction and classification through PCA and LDA;Archana;Int. J. Comput. Appl.,2015

3. Coffee roasting and aroma formation: application of different time−temperature conditions;Baggenstoss;J. Agric. Food Chem.,2008

4. Cross-validation;Berrar,2019

5. Understanding tip-enhanced Raman spectra of biological molecules: a combined Raman, SERS and TERS study;Blum;J. Raman Spectrosc.,2012
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