Detection and classification of honey samples using FTIR spectroscopy and multivariate statistical analysis
Honey is a sweet and natural food product produced by bees which is mainly composed of sugar. Honey is also a rich source of amino acids, vitamins, minerals and other biologically active compounds. These properties lead to the widespread use of honey and increase the demand for honey around the worl...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Isfahan University of Technology
2022-11-01
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| Series: | Iranian Journal of Physics Research |
| Subjects: | |
| Online Access: | https://ijpr.iut.ac.ir/article_3311_06ca4970f66a9fe366ce7fa28497aae5.pdf |
| _version_ | 1797448405877784576 |
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| author | Maryam Bahreini Reyhaneh Nabizadeh Nastaran Ragerdi Kashani |
| author_facet | Maryam Bahreini Reyhaneh Nabizadeh Nastaran Ragerdi Kashani |
| author_sort | Maryam Bahreini |
| collection | DOAJ |
| description | Honey is a sweet and natural food product produced by bees which is mainly composed of sugar. Honey is also a rich source of amino acids, vitamins, minerals and other biologically active compounds. These properties lead to the widespread use of honey and increase the demand for honey around the world. Therefore, it is so important to make sure that the honey is genuine or counterfeit. In this study, FTIR spectra of 6 honey samples of forty-herb honey and Zirofen honey in 10%, 30% and 50% water concentrations and 2 glucose syrup with 10% and 30% concentrations were acquired and analysed using multivariate statistical analysis. The classification results indicate a proper distinction between genuine honey and counterfeit sample. The aim of this study was to provide a cheap, fast and accurate classification method for honey authentication and shows that FTIR method combined by multivariate statistical analysis is a useful tool for testing the authenticity of honey |
| first_indexed | 2024-03-09T14:09:57Z |
| format | Article |
| id | doaj.art-746827282f6a4ac997f4991d63ad8bfe |
| institution | Directory Open Access Journal |
| issn | 1682-6957 2345-3664 |
| language | English |
| last_indexed | 2024-03-09T14:09:57Z |
| publishDate | 2022-11-01 |
| publisher | Isfahan University of Technology |
| record_format | Article |
| series | Iranian Journal of Physics Research |
| spelling | doaj.art-746827282f6a4ac997f4991d63ad8bfe2023-11-29T12:27:50ZengIsfahan University of TechnologyIranian Journal of Physics Research1682-69572345-36642022-11-0122367167910.47176/ijpr.22.3.113883311Detection and classification of honey samples using FTIR spectroscopy and multivariate statistical analysisMaryam Bahreini0Reyhaneh Nabizadeh1Nastaran Ragerdi Kashani2School of Physics, Iran University of Science and Technology, Tehran, IranSchool of Physics, Iran University of Science and Technology, Tehran, IranSchool of Physics, Iran University of Science and Technology, Tehran, IranHoney is a sweet and natural food product produced by bees which is mainly composed of sugar. Honey is also a rich source of amino acids, vitamins, minerals and other biologically active compounds. These properties lead to the widespread use of honey and increase the demand for honey around the world. Therefore, it is so important to make sure that the honey is genuine or counterfeit. In this study, FTIR spectra of 6 honey samples of forty-herb honey and Zirofen honey in 10%, 30% and 50% water concentrations and 2 glucose syrup with 10% and 30% concentrations were acquired and analysed using multivariate statistical analysis. The classification results indicate a proper distinction between genuine honey and counterfeit sample. The aim of this study was to provide a cheap, fast and accurate classification method for honey authentication and shows that FTIR method combined by multivariate statistical analysis is a useful tool for testing the authenticity of honeyhttps://ijpr.iut.ac.ir/article_3311_06ca4970f66a9fe366ce7fa28497aae5.pdffourier transform infrared spectroscopyhoneymultivariate statistical analysis |
| spellingShingle | Maryam Bahreini Reyhaneh Nabizadeh Nastaran Ragerdi Kashani Detection and classification of honey samples using FTIR spectroscopy and multivariate statistical analysis Iranian Journal of Physics Research fourier transform infrared spectroscopy honey multivariate statistical analysis |
| title | Detection and classification of honey samples using FTIR spectroscopy and multivariate statistical analysis |
| title_full | Detection and classification of honey samples using FTIR spectroscopy and multivariate statistical analysis |
| title_fullStr | Detection and classification of honey samples using FTIR spectroscopy and multivariate statistical analysis |
| title_full_unstemmed | Detection and classification of honey samples using FTIR spectroscopy and multivariate statistical analysis |
| title_short | Detection and classification of honey samples using FTIR spectroscopy and multivariate statistical analysis |
| title_sort | detection and classification of honey samples using ftir spectroscopy and multivariate statistical analysis |
| topic | fourier transform infrared spectroscopy honey multivariate statistical analysis |
| url | https://ijpr.iut.ac.ir/article_3311_06ca4970f66a9fe366ce7fa28497aae5.pdf |
| work_keys_str_mv | AT maryambahreini detectionandclassificationofhoneysamplesusingftirspectroscopyandmultivariatestatisticalanalysis AT reyhanehnabizadeh detectionandclassificationofhoneysamplesusingftirspectroscopyandmultivariatestatisticalanalysis AT nastaranragerdikashani detectionandclassificationofhoneysamplesusingftirspectroscopyandmultivariatestatisticalanalysis |