New Methods for the early detection of fungal contamination on green coffee beans by an Electronic Nose

被引：0

作者：

Sberveglieri, Veronica ^{[1
]}

Fava, Patrizia ^{[1
]}

Pulvirenti, Andrea ^{[1
]}

Concina, Isabella ^{[2
]}

Falasconi, Matteo ^{[2
]}

机构：

[1] Univ Modena & Reggio Emilia, Dept Life Sci, Via JF Kennedy 17, Reggio Emilia, Italy

[2] Univ Brescia, CNR IDASC, SENSOR Lab, Brescia, Italy

来源：

2012 SIXTH INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST) | 2012年

关键词：

component; coffee; electronic nose; mold; fast detection; GC-MS; SPME; quality control;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Electronic Noses (ENs) are attracting a relevant interest as valuable monitoring tool in several fields, between which the food industry, with special emphasis on microbial contamination detection on food products. Herein we present the ability of an Electronic Nose to early identify the fungi contamination in green coffee. The detection of mold in green coffee was achieved thanks to the cooperative use of different chemical and microbiological (fenotipic) techniques aimed to detect the secondary metabolites. Obtained results strongly recommend the use of the ENs as screening tools in industrial quality control laboratories, emphasizing at the same time some limits still affecting the sensor technology.

引用

页码：414 / 417

页数：4

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