definition:

The detection object of electronic nose mainly targets volatile flavor compounds.When one or more flavor substances pass through the electronic nose, the "odor fingerprint" of the flavor substance can be sensed by sensors and extracted through special intelligent pattern recognition algorithms. By utilizing the distinct "odor fingerprint" information of different flavor compounds, different gas samples can be distinguished and identified. In addition, certain specific flavor compounds can precisely characterize the comprehensive quality information of samples under the influence of multiple variables such as different raw material origins, different harvest times, different processing conditions, and different storage environments. The electronic nose is composed of advanced sensors and is currently the most stable and accurate electronic nose among similar instruments.Very suitable for detecting liquid and solid samples containing volatile substances.

Application scope:

Process control: dosage of additives in food production, control of industrial cleaning processes, fermentation process control, amount of artificial gas in natural gas, production control of packaging materials in the food industry, process control of oil pressing or grilling.

Quality control: odor of oils and fats, freshness of food, external gas emissions from packaging, solvent residues of polymers, degradation of flavor, characteristics of drug gases and resins, aroma of beverages, etc.

Environmental safety control: odor during wastewater purification process, fertilizer odor, filtration process management, organic solvents in the air in the studio, bacterial identification, leakage control, combustion control.

Application example:

1. Food odor analysis

2. Analysis of Types and Aromatic Characteristics of Molasses

3. Freshness analysis of meat products

4. Analysis of Freshness and Aromatic Varieties of Fruits

5. Identification and analysis of yogurt and yogurt excipients

6. Analysis of Milk Freshness

7. Distinguishing and determining non-alcoholic beverages such as fruit juice

8. Analysis of the Difference in Aroma of Alcoholic Beverages

9. Grain growth analysis

10. Aroma analysis of coffee and related products

11. Analysis of Tobacco Quality and Aroma

12. Analysis of Aromas in Other Foods

Unique interactive sensitive multi-sensor array: 14 metal oxide semiconductor sensors with different properties

Detection accuracy: reaching 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. There are online, portable, and desktop options available.

Multivariate Mathematical Statistics System

Differential Analysis of Overall Quality Differences in Objects (PCA)

Origin protection products and brand product authenticity identification (SIMCA, PLS-DA)

Product Quality Rating (DFA)

Rapid inversion of sensory attributes and physicochemical indicators of samples (PLS)

Evaluation of Product Shelf Life (PCA, PLS)

Dimensions (length x width x height) cm: 40 x 40 x 30

Unique interactive sensitive multi-sensor array: 14 metal oxide semiconductor sensors with different properties

Detection accuracy: reaching 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. There are online, portable, and desktop options available.