Smartphone-based handheld Raman spectrometer and machine learning for essential oil quality evaluation-Reference-Cited by-同舟云学术

Smartphone-based handheld Raman spectrometer and machine learning for essential oil quality evaluation

Published:2021 Issue:36 Volume:13 Page:4055-4062
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Lebanov Leo¹²,Paull Brett¹²^ORCID

Affiliation:

1. Australian Centre for Research on Separation Science (ACROSS), School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia

2. ARC Industrial Transformation Research Hub for Processing Advanced Lignocellulosics Products (PALs), School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia

Abstract

Utilising a smartphone-based miniaturized Raman spectrometer and machine learning for the fast identification and discrimination of adulterated essential oils.

Funder

Australian Research Council

University of Tasmania

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/AY/D1AY00886B

Reference39 articles.

1. https://www.grandviewresearch.com/industry-analysis/essential-oils-market

2. Authenticity of essential oils