Distinguishing Turkish pine honey from multi-floral honey through MALDI-MS-based N-glycomics and machine learning
Yazarlar (6)
Saad Masri Karabük Üniversitesi, Türkiye
Arş. Gör. Sena AKSOY Karabük Üniversitesi, Türkiye
Arş. Gör. Hatice Duman Çanakkale Onsekiz Mart Üniversitesi, Türkiye
Sercan Karav Çanakkale Onsekiz Mart Üniversitesi, Türkiye
Doç. Dr. Hacı Mehmet KAYILI Karabük Üniversitesi, Türkiye
Bekir Salih Hacettepe Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
|
||
| Dergi Adı | Journal of Food Measurement and Characterization (Q2) | ||
| Dergi ISSN | 2193-4126 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | Türkçe | Basım Tarihi | 05-2024 |
| Cilt / Sayı / Sayfa | 18 / 7 / 5673–5682 | DOI | 10.1007/s11694-024-02597-5 |
| Makale Linki | https://doi.org/10.1007/s11694-024-02597-5 | ||
| UAK Araştırma Alanları |
Analitik Kimya
|
||
| Özet |
| Honey, a multifaceted blend of sugars, amino acids, vitamins, proteins, and minerals, exhibits compositional variability dependent upon the floral source. While previous studies have attempted to categorize honey, the use of glycomic profiles for honey classification remains an unexplored avenue. This investigation seeks to establish a methodology for distinguishing honey types, specifically multi-floral and pine honey, employing mass spectrometry-based glycomic analysis in tandem with machine learning. In this search, seven samples of pine honey and eight samples of multi-floral honey were obtained from diverse regions of Turkey. Subsequently, the proteins within these honey samples were extracted, and glycans were enzymatically released. The released glycans were labeled with 2-aminobenzoic acid (2-AA) and subjected to analysis via matrix-assisted laser desorption/ionization mass spectrometry … |
| Anahtar Kelimeler |
| Glycomics | Honey classification | Machine learning | Multi-floral honey | Pine honey |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 3 |
| Scopus | 2 |
| Google Scholar | 3 |