Product Description:

The detection object of electronic nose is mainly for volatile flavorsubstances.It is the electronic nose with good stability and highdetection accuracy of similar instruments.It is very suitable for thedetection of liquid and solid samples containing volatile substances.

Product details:

I. Product introduction

The detection object of electronic nose is mainly for volatile flavorsubstances.When one or more flavors pass through the nose, the "scentfingerprint" of that flavor can be sensed by sensors and extracted byspecial intelligent pattern recognition algorithms.By using thedifferent "scent fingerprints" of different flavor substances,different gas samples can be distinguished and identified.Inaddition, some specific flavor substances can just represent thecomprehensive quality information of the sample under the influenceof multiple variables such as different origin of raw materials,different harvest time, different processing conditions and differentstorage environment.Using advanced sensors, it is an electronic nosewith good stability and high detection accuracy of similarinstruments at present.It is very suitable for the detection ofliquid and solid samples containing volatile substances.

Ⅱ. the scope of application

Process control: the amount of additives in food production, thecontrol of industrial cleaning process, the control of fermentationprocess, the amount of artificial gas in natural gas, the productioncontrol of packaging in the food industry, the process control of oilpressing or barbecue.Quality control: stench of grease, freshness of food, extraneousgases of packaging, solvent residues of polymers, flavor degradation,pharmaceutical gases, resin characteristics, aroma of beverages, etc.Environmental control: Odor in wastewater purification process,fertilizer odor, filtration process management, organic solvents inthe air in the studio, bacterial identification, leak control,combustion control.

Ⅲ. Application examples

1. Food rancid analysis

2, molasses type and aromatic characteristics of the analysis

3, meat freshness analysis

4, fruit freshness aroma type analysis

5, yogurt and yogurt excipients identification analysis

6, milk freshness analysis

7, fruit juice and other non-alcoholic beverage differentiationjudgment

8, the difference analysis of alcoholic beverage aroma

9. Analysis of grain growth

10, aroma of coffee and related products

11. Tobacco quality and aroma analysis

12, aroma analysis of other food

Structural characteristics

Structural characteristics of electronic noseUnique interactive sensitive multi-sensor array: 6~28 metal oxidesemiconductor sensor software interface with different properties candisplay sensor configuration options.(Flexible custom sensor 6, 10,14, 18, 28 kinds of combination);Sensor conditioning circuit design,can analyze the product odor signal, adjust and amplify processing.Gas acceptance chamber: The overall chamber material is aluminum,long-term high temperature use without deformation, each sensor hasan independent uniform distribution of the gas chamber.Detection accuracy: up to ppb levelFast detection speed: 1-2 minutesSensor response time is fast: less than 1 secondStable detection data: Each sensor has an independent and evenlydistributed air chamber.Easy to operate: the software has complete intelligent patternrecognition.There are online, portable and desktop options.Data processing software: complete intelligent pattern recognitionsystem and data analysis system, including dimension reduction,clustering, classification, regression and other four data processingmethods, can cope with the era of big data expanding data scale andendless data science theory, add a variety of algorithm modes: PCA,LDA, PLSR, as well as the current field of artificial intelligencewidely used SVM, BP neural network, TSNE, ISOMAP, LLE and so on noless than 15 algorithms.The function of the algorithm needs to havethe function of prediction, while keeping the training modelunchanged, for the unknown sample prediction, accurate output.Intelligent expansion of data: Feature variables and feature subsetsof high-dimensional big data can be extracted, data characteristicsand distribution characteristics can be viewed, regression analysiscan be carried out with continuous data, classification analysis canbe carried out with discrete data, to achieve multivariate linkageanalysis;Diversified mode of operation: data processing can be operated byone-click software, can be operated directly and quickly through thelarge touch screen of the instrument, and the touch screen displaysthe test curve in real time.Multivariate mathematical statistics system:The differentiation test of the overall quality difference of theobjectOrigin protection products and brand product authenticityidentificationProduct quality ratingFast inversion of sensory properties and physicochemical indexes ofsamplesEvaluation of product shelf time

Specification parameters

Dimensions (length x width x height) cm: 40 x 40 x 30Unique interactive sensitive multi-sensor array: 6~28 metal oxidesemiconductor sensors with different propertiesDetection accuracy: up to ppb levelFast detection speed: 1-2 minutesSensor response time is fast: less than 1 secondStable detection data: Each sensor has an independent and evenlydistributed air chamberEasy to operate: the software has complete intelligent patternrecognition