Research electronic nose detection

Research electronic nose
The detection object of electronic nose is mainly for volatile flavor substances
When one or more flavor substances pass by, the & ldquo; Odor fingerprint & rdquo; It can be sensed by sensors and extracted by special intelligent pattern recognition algorithm
Different & ldquo; Odor fingerprint & rdquo; Information can be used to distinguish and identify different gas samples
In addition, some specific flavor substances can just characterize the comprehensive quality information of samples under the influence of multivariable factors such as different raw material producing areas, different harvest times, different processing conditions and different storage environments

  The electronic nose adopts advanced sensor combination and is designed to include more than ten kinds of data processing algorithms such as PCA, LDA and BP neural network
It has good stability and high precision
It is very suitable for detecting liquid and solid samples containing volatile substances

1、 Product features:
1
Unique interaction sensitive multi-sensor array: combination of metal oxide semiconductor sensors with different properties
2
Detection accuracy: up to ppb level
3
Fast detection speed: 1-2 minutes
4
Fast sensor response time: less than 1 second
5
Stable detection data: each sensor has an independent and evenly distributed air chamber

6
Easy to operate: the software has complete intelligent pattern recognition
Available online, portable and desktop

7
Multivariate mathematical statistics system
8
Discriminant test of overall quality difference of objects (PCA, LDA,)
9
Identification of origin protection products and brand products (SVM, BP neural network, KNN, SIMCA, PLS-DA)
10
Product quality rating (SVM, BP neural network, KNN)
11
Fast inversion of sensory attributes and physical and chemical indexes of samples (PLS, SVM, BP neural network)
12
Evaluation of product shelf life (PCA, pls, SVM, BP neural network)
13
Product difference analysis (European distance, Mahalanobis distance, K-means, LVQ & hellip; & hellip;)
14
Data visualization
2、 Structural features:
Interactive sensitive multisensor array: 14 metal oxide semiconductor sensors with different properties
Detection accuracy: up to ppb level
Fast detection speed: 1-2 minutes
Fast sensor response time: less than 1 second
Stable detection data: each sensor has an independent and evenly distributed air chamber

Easy to operate: the software has complete intelligent pattern recognition
Available online, portable and desktop

Multivariate mathematical statistics system
Discriminant test (PCA) for overall quality difference of objects
Identification of origin protection products and brand products (SIMCA, PLS-DA)
Product quality rating (DFA)
Fast inversion (PLS) of sensory attributes and physical and chemical indexes of samples
Evaluation of product shelf life (PCA, PLS)
3、 Partial parameters
Dimensions (L & times; W & times; H) CM : 40× 40× thirty
Interactive sensitive multisensor array: 14 metal oxide semiconductor sensors with different properties
Detection accuracy: up to ppb level
Fast detection speed: 1-2 minutes
Fast sensor response time: less than 1 second
Stable detection data: each sensor has an independent and evenly distributed air chamber

Easy to operate: the software has complete intelligent pattern recognition