Discrimination of Two Cultivars of Alpinia Officinarum Hance Using an Electronic Nose and Gas Chromatography-mass Spectrometry Coupled With Chemometrics

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aut.relation.issue3en_NZ
aut.relation.journalSensors (Switzerland)en_NZ
aut.relation.volume19en_NZ
aut.researcherHutcheson, Catherine
dc.contributor.authorLong, Qen_NZ
dc.contributor.authorLi, Zen_NZ
dc.contributor.authorHan, Ben_NZ
dc.contributor.authorHosseini, HGen_NZ
dc.contributor.authorZhou, Hen_NZ
dc.contributor.authorWang, Sen_NZ
dc.contributor.authorLuo, Den_NZ
dc.date.accessioned2021-03-05T03:02:57Z
dc.date.available2021-03-05T03:02:57Z
dc.date.copyright2019en_NZ
dc.date.issued2019en_NZ
dc.description.abstractBackground: Alpinia officinarum Hance is both an herbal medicine and a condiment, and generally has different cultivars such as Zhutou galangal and Fengwo galangal. The appearance of these A. officinarum cultivars is similar, but their chemical composition and quality are different. It is therefore important to discriminate between different A. officinarum plants to ensure the consistency of the efficacy of the medicine. Therefore, we used an electronic nose (E-nose) to explore the differences in odor information between the two cultivars for fast and robust discrimination. Methods: Odor and volatile components of all A. officinarum samples were detected by the E-nose and gas chromatography-mass spectrometry (GC-MS), respectively. The E-nose sensors and GC-MS data were analyzed respectively by principal component analysis (PCA), the correlation between E-nose sensors and GC-MS data were analyzed by partial least squares (PLS). Results: It was found that Zhutou galangal and Fengwo galangal can be discriminated by combining the E-nose with PCA, and the E-nose sensors S2, S6, S7, S9 were important sensors for distinguishing different cultivars of A. officinarum. A total of 56 volatile components of A. officinarum were identified by the GC-MS analysis, and the composition and content of the volatile components from the two different A. officinarum cultivars were different, in particular the relative contents of 1,8-cineole and α-farnesene. The classification result by PCA analysis based on GC-MS data was consistent with the E-nose results. The PLS analysis demonstrated that the volatile terpene, alcohol and ester components primarily interacted with the sensors S2 and S7, indicating that particular E-nose sensors were highly correlated with some aroma constituents. Conclusions: Combined with advanced chemometrics, the E-nose detection technology can discriminate two cultivars of A. officinarum, with GC-MS providing support to determine the material basis of the E-nose sensors’ response.en_NZ
dc.identifier.citationSensors 2019, 19(3), 572; https://doi.org/10.3390/s19030572
dc.identifier.doi10.3390/s19030572en_NZ
dc.identifier.issn1424-8220en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/14036
dc.publisherMDPI
dc.relation.urihttps://www.mdpi.com/1424-8220/19/3/572
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectA. officinarum; Zhutou galangal; Fengwo galangal; sensors; E-nose; GC-MS; PCA; PLS
dc.titleDiscrimination of Two Cultivars of Alpinia Officinarum Hance Using an Electronic Nose and Gas Chromatography-mass Spectrometry Coupled With Chemometricsen_NZ
dc.typeJournal Article
pubs.elements-id356305
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
pubs.organisational-data/AUT/Design & Creative Technologies/Engineering, Computer & Mathematical Sciences
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies/PBRF ECMS
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