Watch the Dallas Symposium LIVE, and fundraiser auction
Ticket proceeds support mindat.org! - click here...
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Jia, Wenyang, Ferragina, Alessandro, Hamill, Ruth, Koidis, Anastasios (2024) Modelling and numerical methods for identifying low-level adulteration in ground beef using near-infrared hyperspectral imaging (NIR-HSI) Talanta, 276. 126199 doi:10.1016/j.talanta.2024.126199

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleModelling and numerical methods for identifying low-level adulteration in ground beef using near-infrared hyperspectral imaging (NIR-HSI)
JournalTalanta
AuthorsJia, WenyangAuthor
Ferragina, AlessandroAuthor
Hamill, RuthAuthor
Koidis, AnastasiosAuthor
Year2024 (August)Volume276
PublisherElsevier BV
DOIdoi:10.1016/j.talanta.2024.126199Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID17385098Long-form Identifiermindat:1:5:17385098:7
GUID0
Full ReferenceJia, Wenyang, Ferragina, Alessandro, Hamill, Ruth, Koidis, Anastasios (2024) Modelling and numerical methods for identifying low-level adulteration in ground beef using near-infrared hyperspectral imaging (NIR-HSI) Talanta, 276. 126199 doi:10.1016/j.talanta.2024.126199
Plain TextJia, Wenyang, Ferragina, Alessandro, Hamill, Ruth, Koidis, Anastasios (2024) Modelling and numerical methods for identifying low-level adulteration in ground beef using near-infrared hyperspectral imaging (NIR-HSI) Talanta, 276. 126199 doi:10.1016/j.talanta.2024.126199
In(2024) Talanta Vol. 276. Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Serranti, Silvia, Cesare, Daniela, Marini, Federico, Bonifazi, Giuseppe (2013) Classification of oat and groat kernels using NIR hyperspectral imaging. Talanta, 103. 276-284 doi:10.1016/j.talanta.2012.10.044
Guo, Zhen, Zhang, Jing, Sun, Jiashuai, Dong, Haowei, Huang, Jingcheng, Geng, Lingjun, Li, Shiling, Jing, Xiangzhu, Guo, Yemin, Sun, Xia (2024) A multivariate algorithm for identifying contaminated peanut using visible and near-infrared hyperspectral imaging. Talanta, 267. 125187 doi:10.1016/j.talanta.2023.125187
Kamruzzaman, Mohammed, Sun, Da-Wen, ElMasry, Gamal, Allen, Paul (2013) Fast detection and visualization of minced lamb meat adulteration using NIR hyperspectral imaging and multivariate image analysis. Talanta, 103. 130-136 doi:10.1016/j.talanta.2012.10.020
Wu, Di, Sun, Da-Wen (2013) Application of visible and near infrared hyperspectral imaging for non-invasively measuring distribution of water-holding capacity in salmon flesh. Talanta, 116. 266-276 doi:10.1016/j.talanta.2013.05.030
Zhang, Yue, Jiang, Hongzhe, Wang, Wei (2019) Feasibility of the Detection of Carrageenan Adulteration in Chicken Meat Using Visible/Near-Infrared (Vis/NIR) Hyperspectral Imaging. Applied Sciences, 9. 3926pp. doi:10.3390/app9183926
Vidal, Cristiane, Pasquini, Celio (2021) A comprehensive and fast microplastics identification based on near-infrared hyperspectral imaging (HSI-NIR) and chemometrics. Environmental Pollution, 285. 117251pp. doi:10.1016/j.envpol.2021.117251
Lugli, F., Sciutto, G., Oliveri, P., Malegori, C., Prati, S., Gatti, L., Silvestrini, S., Romandini, M., Catelli, E., Casale, M., Talamo, S., Iacumin, P., Benazzi, S., Mazzeo, R. (2021) Near-infrared hyperspectral imaging (NIR-HSI) and normalized difference image (NDI) data processing: An advanced method to map collagen in archaeological bones. Talanta, 226. 122126pp. doi:10.1016/j.talanta.2021.122126
Jiang, Hongzhe, Ru, Yu, Chen, Qing, Wang, Jinpeng, Xu, Linyun (2021) Near-infrared hyperspectral imaging for detection and visualization of offal adulteration in ground pork. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 249. 119307 doi:10.1016/j.saa.2020.119307
Oliveri, Paolo, Malegori, Cristina, Casale, Monica, Tartacca, Edoardo, Salvatori, Gianni (2019) An innovative multivariate strategy for HSI-NIR images to automatically detect defects in green coffee. Talanta, 199. 270-276 doi:10.1016/j.talanta.2019.02.049
Feng, Yao-Ze, Sun, Da-Wen (2013) Determination of total viable count (TVC) in chicken breast fillets by near-infrared hyperspectral imaging and spectroscopic transforms. Talanta, 105. 244-249 doi:10.1016/j.talanta.2012.11.042
Siripatrawan, U., Makino, Y., Kawagoe, Y., Oshita, S. (2011) Rapid detection of Escherichia coli contamination in packaged fresh spinach using hyperspectral imaging. Talanta, 85 (1). 276-281 doi:10.1016/j.talanta.2011.03.061
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 17, 2025 00:40:57
Go to top of page