Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/97843
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Applied Biology and Chemical Technology-
dc.creatorYao, Z-
dc.creatorNg, CCA-
dc.creatorNg, TT-
dc.creatorLi, S-
dc.date.accessioned2023-03-23T03:33:18Z-
dc.date.available2023-03-23T03:33:18Z-
dc.identifier.urihttp://hdl.handle.net/10397/97843-
dc.language.isozhen_US
dc.publisher中华人民共和国国家知识产权局en_US
dc.rightsAssignee: 香港理工大学en_US
dc.titleEdible oil analysis method, recognition system, method for generating library, and data carrieren_US
dc.typePatenten_US
dc.description.otherinformationInventor name used in this publication: 姚钟平en_US
dc.description.otherinformationInventor name used in this publication: 伍卓知en_US
dc.description.otherinformationInventor name used in this publication: 吴子浚en_US
dc.description.otherinformationInventor name used in this publication: 李素莹en_US
dc.description.otherinformationTitle in Traditional Chinese: 食用油分析方法、識別系統、產生庫的方法及數據載體en_US
dcterms.abstractThe present disclosure provides a method and system for analysing one or more edible oil samples. In an embodiment the disclosure provides for calibrating the matrix-assisted laser desorption/ionisation mass spectrometry (MALDI-MS) data obtained for one or more edible oil samples to obtain calibrated spectral data; and comparing the calibrated spectral data derived from the one or more samples against a library of calibrated MALDI-MS spectra for a plurality of edible oil samples to determine the most likely composition of the one or more edible oil samples.-
dcterms.abstract本发明提供一种用于分析一个或多个食用油样本的方法和食用油样本识别系统。在一个实施例中,本发明提供:校准针对一个或多个食用油样本获得的基质辅助激光解吸/电离质谱法(MALDI‑MS)数据以获得用于一个或多个食用油样本的校准的谱数据;以及将所述校准的谱数据与用于多个参考食用油样本的校准的MALDI‑MS谱的库进行比较以确定一个或多个食用油样本的最可能组成。本发明还提供一种产生用于多个不同类型的多个参考食用油样本的基质辅助激光解吸/电离质谱法(MALDI‑MS)数据的库以用于识别除所述参考食用油样本外的样本的方法以及一种其上具有指令的数据载体。-
dcterms.accessRightsopen accessen_US
dcterms.alternative食用油分析方法、识别系统、产生库的方法及数据载体-
dcterms.bibliographicCitation中国专利 ZL201710588321.1-
dcterms.issued2022-10-21-
dc.description.countryChina-
dc.description.validate202303 bcch-
dc.description.oaVersion of Recorden_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Patent
Files in This Item:
File Description SizeFormat 
ZL201710588321.1.PDF1.74 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Show simple item record

Page views

98
Last Week
4
Last month
Citations as of Nov 30, 2025

Downloads

92
Citations as of Nov 30, 2025

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.