PCA and LDA Assessment of the Heavy Metal Contamination in Honey Bees, Bee Pollen and Honey Produced in Urban Areas of Türkiye
Öz
Anahtar Kelimeler
Destekleyen Kurum
Proje Numarası
Etik Beyan
Kaynakça
- Adgaba, N., Al-Ghamdi, A. A., Getachew, A., Tadesse, Y., Belay, A., Ansari, M. J., Radloff, S. E., & Sharma, D. (2017). Characterization of honeys by their botanical and geographical origins based on physico-chemical properties and chemo-metrics analysis. Journal of Food Measurement and Characterization, 11, 1106-1117.
- Ahmida, N. H., Elagori, M., Agha, A., Elwerfali, S., & Ahmida, M. H. (2012). Physicochemical, heavy metals and phenolic compounds analysis of Libyan honey samples collected from Benghazi during 2009-2010. Food and Nutrition Sciences, 4(1), 33-40. https://doi.org/https://doi.org/10.4236/fns.2013.4100 6
- Al Naggar, Y., Khalil, M. S., & Ghorab, M. A. (2018). Environmental pollution by heavy metals in the aquatic ecosystems of Egypt. Open Access Journal of Toxicology, 3, 555603.
- Alimentarius, C. (2015). General standard for contaminants and toxins in food and feed (Codex STAN 193-1995). In International Food Standards (Vol. 193).
- Ares, A. M., Martín, M. T., Tapia, J. A., González-Porto, A. V., Higes, M., Martín-Hernández, R., & Bernal, J. (2022a). Differentiation of bee pollen samples according to the betaines and other quaternary ammonium related compounds content by using a canonical discriminant analysis. Food Research International, 160, 111698.
- Ares, A. M., Redondo, M., Tapia, J., González-Porto, A. V., Higes, M., Martín-Hernández, R., & Bernal, J. (2020). Differentiation of bee pollen samples according to their intact-glucosinolate content using canonical discriminant analysis. Lwt, 129, 109559.
- Ares, A. M., Tapia, J. A., González-Porto, A. V., Higes, M., Martín-Hernández, R., & Bernal, J. (2022b). Glucosinolates as markers of the origin and harvesting period for discrimination of bee pollen by UPLC-MS/MS. Foods, 11(10), 1446.
- Bassbasi, M., De Luca, M., Ioele, G., Oussama, A., & Ragno, G. (2014). Prediction of the geographical origin of butters by partial least square discriminant analysis (PLS-DA) applied to infrared spectroscopy (FTIR) data. Journal of Food Composition and Analysis, 33(2), 210-215.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Gıda Bilimleri (Diğer)
Bölüm
Araştırma Makalesi
Yazarlar
Fatma İlhan
0000-0002-9248-2056
Türkiye
Hüseyin Bayır
0000-0001-6128-6944
Türkiye
Ali Aygün
*
0000-0002-0546-3034
Türkiye
Yayımlanma Tarihi
28 Aralık 2023
Gönderilme Tarihi
30 Ağustos 2023
Kabul Tarihi
7 Kasım 2023
Yayımlandığı Sayı
Yıl 2023 Cilt: 15 Sayı: 2