Abstract
In this paper, we aim to use odor fingerprint analysis to identify and detect various odors. We obtained the olfactory sensory evaluation of eight different brands of Chinese liquor by a lab-developed intelligent nose. From the respective combination of the time domain and frequency domain, we extract features to reflect the samples comprehensively. However, the extracted feature combined time domain and frequency domain will bring redundant information that affects performance. Therefore, we proposed data by Principal Component Analysis (PCA) and Variable Importance Projection (VIP) to delete redundant information to construct a more precise odor fingerprint. Then, Random Forest (RF) and Probabilistic Neural Network (PNN) were built based on the above. Results showed that the VIP-based models achieved better classification performance than PCA-based models. In addition, the peak performance (92.5%) of the VIP-RF model had a higher classification rate than the VIP-PNN model (90%). In conclusion, odor fingerprint analysis using a feature mining method based on the olfactory sensory evaluation can be applied to monitor product quality in the actual process of industrialization.
Highlights
Due to its particularity and generality, fingerprint can provide the basis to distinguish between samples due to its uniqueness and reliability [1]
(2) Compared with original features, classification performance did not significantly improve with theboth original classification performance didprocessing not significantly based(2)onCompared the Principal Component Analysis (PCA)-optimized in the features, Random Forest (RF) network and Probabilistic Neural Network (PNN) network
Taking eight different brands of Chinese liquors as an example, our work adopted theConclusions odor fingerprint analysis based on olfactory sensory evaluation and the feature mining method which combined the time domain and frequency domain to simulate human olfaction and to identify
Summary
Due to its particularity and generality, fingerprint can provide the basis to distinguish between samples due to its uniqueness and reliability [1]. Odor fingerprint analysis is preferred to the use of intelligent instruments which are sensitive to the stimulation of odor to produce the relevant data of volatile feature components. Adoption of odor fingerprint analysis is widely used in the field of foods. The maturity of fruits could be expressed by the odor intensity [2], the degree of freshness [3], and diseases [4,5] could be determined by odor fingerprint analysis. The use of odor as a biometrics recognition method is feasible [6]. Chinese liquors belong to the distilled liquor which is loved by people for its strong aromatic odor
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