共 29 条
Classification of Honey Powder Composition by FTIR Spectroscopy Coupled with Chemometric Analysis
被引:14
作者:
Matwijczuk, Arkadiusz
[1
]
Budziak-Wieczorek, Iwona
[2
]
Czernel, Grzegorz
[1
]
Karcz, Dariusz
[3
]
Baranska, Alicja
[4
]
Jedlinska, Aleksandra
[4
]
Samborska, Katarzyna
[4
]
机构:
[1] Univ Life Sci Lublin, Fac Environm Biol, Dept Biophys, Akad 13, PL-20950 Lublin, Poland
[2] Univ Life Sci Lublin, Fac Life Sci & Biotechnol, Dept Chem, Akad 15, PL-20950 Lublin, Poland
[3] Cracow Univ Technol, Fac Chem Engn & Technol, Dept Chem Technol & Environm Analyt C1, Warszawska 24, PL-31155 Krakow, Poland
[4] Warsaw Univ Life Sci WULS SGGW, Inst Food Sci, Dept Food Engn & Proc Management, Nowoursynowska 159c, PL-02776 Warsaw, Poland
来源:
MOLECULES
|
2022年
/
27卷
/
12期
关键词:
honey powder;
spray drying;
carrier;
FTIR spectroscopy;
chemometric analysis;
COMPONENT ANALYSIS PCA;
ATR SPECTROSCOPY;
UNIFLORAL HONEY;
ADULTERATION;
SUGAR;
D O I:
10.3390/molecules27123800
中图分类号:
Q5 [生物化学];
Q7 [分子生物学];
学科分类号:
071010 ;
081704 ;
摘要:
Fourier transform infrared spectroscopy (FTIR) in connection with chemometric analysis were used as a fast and direct approach to classify spray dried honey powder compositions in terms of honey content, the type of diluent (water or skim milk), and carrier (maltodextrin or skim milk powder) used for the preparation of feed solutions before spray drying. Eleven variants of honey powders containing different amounts of honey, the type of carrier, and the diluent were investigated and compared to pure honey and carrier materials. Chemometric discrimination of samples was achieved by principal component analysis (PCA), hierarchical clustering analysis (HCA), linear discriminant analysis (LDA), and partial least squares-discriminant analysis (PLS-DA) modelling procedures performed on the FTIR preprocessed spectral data for the fingerprint region (1800-750 cm(-1)) and the extended region (3600-750 cm(-1)). As a result, it was noticed that the type of carrier is a significant factor during the classification of different samples of powdered multifloral honey. PCA divided the samples based on the type of carrier, and additionally among maltodextrin-honey powders it was possible to distinguish the type of diluent. The result obtained by PCA-LDA and PLS-DA scores yielded a clear separation between four classes of samples and showed a very good discrimination between the different honey powder with a 100.0% correct overall classification rate of the samples.
引用
收藏
页数:14
相关论文