Honey botanical origin determination by electronic nose

被引：12

作者：

Kenjeric, Frane Cacic ^{[1
]}

Mannino, Saverio ^{[2
]}

Bennedetti, Simona ^{[2
]}

Primorac, Ljiljana ^{[1
]}

Kenjeric, Daniela Cacic ^{[1
]}

机构：

[1] Fac Food Technol, HR-31000 Osijek, Croatia

[2] DiSTAM, I-20133 Milan, Italy

来源：

JOURNAL OF APICULTURAL RESEARCH | 2009年 / 48卷 / 02期

关键词：

botanical origin; electronic nose; honey; Principal Component Analysis; Artificial Neural Network models; UNIFLORAL HONEYS; ELECTRICAL-CONDUCTIVITY; CLASSIFICATION; PROFILES;

D O I：

10.3896/IBRA.1.48.2.03

中图分类号：

Q96 [昆虫学];

学科分类号：

摘要：

Four different honey types (Acacia, Robinia pseudoacacia, chestnut, Castanea sativa, lime, Tilia sp.; sage, Salvia officinalis) from Croatia were analysed using an electronic nose to capture the aroma profile. Principal Component Analysis (PCA) and Artificial Neural Network (ANN) models were used to determine the botanical origin of honey samples. Overall accurate classification was over 90% which suggests that an electronic nose could be used as fast screening method for the determination of honey botanical origin.

引用

页码：99 / 103

页数：5

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