Rapid identification of artificial fragrant rice based on volatile organic compounds: From PTR-MS to FTIR-Reference-Cited by-同舟云学术

Rapid identification of artificial fragrant rice based on volatile organic compounds: From PTR-MS to FTIR

Published:2023-08 Issue: Volume:418 Page:135952
ISSN:0308-8146
Container-title:Food Chemistry
language:en
Short-container-title:Food Chemistry

Author:

Liu Yachao,Zuo Min^ORCID,Wang Ke,Jiao Leizi,Yang Guiyan,Yang Chongshan^ORCID,Zhao Xiande,Dong Daming

Funder

National Natural Science Foundation of China

Beijing Academy of Agricultural and Forestry Sciences

Publisher

Elsevier BV

Subject

General Medicine,Food Science,Analytical Chemistry

Reference23 articles.

1. Characterization of ozone production in San Antonio, Texas, using measurements of total peroxy radicals;Anderson;Atmospheric Chemistry and Physics,2019

2. Volatile profiles of aromatic and non-aromatic rice cultivars using SPME/GC–MS;Bryant;Food Chemistry,2011

3. Biodiesel content determination in diesel fuel blends using near infrared (NIR) spectroscopy and support vector machines (SVM);Cesar;Talanta,2013

4. Metabolomic fingerprinting of volatile organic compounds for the geographical discrimination of rice samples from China, Vietnam and India;Ch;Food Chemistry,2021

5. Rapid and real-time analysis of volatile compounds released from food using infrared and laser spectroscopy;Dong;Trends in Analytical Chemistry,2019

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