Scent analysis of Rosa laevigata through metal oxide sensor array electronic nose
AUTOR(ES)
Chen, Shuguang, Mao, Jian, Han, Bangxing, Chen, Naifu
FONTE
Revista Brasileira de Farmacognosia
DATA DE PUBLICAÇÃO
29/07/2011
RESUMO
The scent fingerprint of Rosa laevigata Michx., Rosaceae, samples harvested at different periods was investigated. Principal component analysis (PCA) and discriminant factor analysis (DFA) were done on the scent response values measured by an electronic nose (EN) sensor. Statistical quality control (SQC) analysis was also conducted. The R. laevigata samples were clustered into two categories after being analyzed by PCA and DFA. One cluster consisted of samples No. 1 to No. 6, and the other consisted of samples No. 7 to No. 10. The combination of EN, PCA, and DFA for scent analysis can be used for the quality control of traditional Chinese medicines.
Documentos Relacionados
- Bacteria classification using Cyranose 320 electronic nose
- Rapid assessment of quality of deer antler slices by using an electronic nose coupled with chemometric analysis
- Diagnosis of lung cancer by the analysis of exhaled breath with a colorimetric sensor array
- A chemically diverse conducting polymer-based "electronic nose".
- Structural elements of metal selectivity in metal sensor proteins
