主成分分析
漫反射红外傅里叶变换
线性判别分析
漫反射
光谱学
近红外光谱
模式识别(心理学)
刺槐
红外线的
多元统计
人工智能
数学
分析化学(期刊)
遥感
化学
计算机科学
统计
光学
色谱法
地质学
植物
物理
生物
生物化学
光催化
量子力学
催化作用
作者
Davide Bertelli,Maria Plessi,Antonio Sabatini,Massimo Lolli,Francesca-Vittoria Grillenzoni
出处
期刊:Food Chemistry
[Elsevier]
日期:2006-04-23
卷期号:101 (4): 1565-1570
被引量:64
标识
DOI:10.1016/j.foodchem.2006.04.010
摘要
Diffuse reflectance mid-infrared Fourier transform spectroscopy (DRIFTS) and multivariate statistical analysis methods were used for the identification and classification of honey from different floral sources. The 82 honey samples (robinia, chestnut, citrus, polyfloral) were scanned by DRIFTS in the region 4000–600 cm−1 and also transformed in 1st and 2nd derivatives. Spectral data were analyzed by principal component analysis, general discriminant analysis and classification tree analysis. Classification accuracy near 100% was obtained by discriminant and classification tree analyses. Classification models were successfully validated with one-third leave out method and a classification of about 100% were achieved.
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