The definition of Inose:
Inose detection mainly target volatile flavor compounds.
When one or more than one kinds of flavor pass by the inose, "odor fingerprint" of the flavor compound can be perceived by special sensors and intelligent pattern recognition algorithm. Using different flavor of different "odor fingerprint" information, you can distinguish and recognize different gas samples. In addition, certain flavoring substances have multiple quality information affected by many variables, such as in different raw materials, different raw materials, different harvest time, different processing conditions and different storage environment. Inose is composed of the most advanced sensor, which are currently of the best stability, the highest detection accuracy of the electronic nose .
It is very suitable for detecting liquid and solid samples containing volatile substances.
Gas Sensor Array
iNose type electronic nose
The principle of inose
Using many metal oxide semiconductor sensor of different properties to make a sensor array, combined with specific intelligent learning and identification pattern recognition algorithms, intelligent bionic olfactory system is constructed. It is mainly composed of four components: (1) sampling means and the gas injection system (2) sensor array (3) sensor detection curve (4)intelligent pattern recognition software.
Inose gas sensor array (It requires a combination of application)
Inose detection curves
S1 Ammonia, amines
S2 Hydrogen sulfide, sulfur
S3 Hydrogen
S4 Alcohol, organic solvents
S5 Volatile gases during food cooking
S6 Methane, biogas, hydrocarbons
S7 Flammable gas
S8 VOC (used for environmental air pollution detection)
S9 Oxy-hydroxide, gasoline, kerosene
S10 Alkanes, flammable gas
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INose ( portable electronic nose ) Applications:
Food: alcohol, beverages, tea, aquatic products, livestock, poultry and egg products, bee products, edible oil, food storage, fruits and vegetables and processed products, milk and dairy products, condiments and fermented foods, a variety of soups, flavors and fragrances, health food.
Pharmaceuticals: Identification of traditional Chinese medicine raw materials, quality control of Chinese Herbal Medicine, medicine recipe, odor anal.
Tobacco: Tobacco various origin, grade, breed judge. Finished tobacco smoke gas analysis.
Chemicals: cosmetics, chemical principles, such as quality and process control.
Environment: odor pollution, gas leaks, sewage gas monitoring and on-site inspections.
Medical diagnosis: the patient exhaled gas by checking the appropriate disease, cancer screening, digestive functions.
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INose (inose, portable electronic nose) notable features:
Unique multi-sensor arrays sensitive interaction: a metal oxide semiconductor type sensor with 10 properties
Detection accuracy : up to ppb level
Detection speed :1-2 minutes
Sensor response time fast: less than 1 second
Stable test data : each sensor has a separate uniform distribution plenum .
Easy to operate: intelligent software with a complete pattern recognition . There are online , portable and desktop options.
Multivariate mathematical statistics system
Distinguish the differences in the overall quality of the object inspection (PCA)
The protection of the products origin and brand authenticity identification (SIMCA, PLS-DA)
Product quality grading (DFA)
Samples sensory attributes and physical and chemical indicators of rapid inversion (PLS)
Evaluation of product shelf time (PCA, PLS)
Application of electronic nose—Flavor
Application of electronic nose to the analysis on relevance of flavors and changes of products smell
Pic. different storage time to flavor and the smell of products
Emoticons: If there is a significant change about the odor information in different sample storage time, the fingerprint information distributed in different areas of the model. The greater the change is, the farther the fingerprint information is away. If information are similar, it may fingerprint information vary degrees of overlap in the model.
From the overall experiments results, flavor 1 and odor changes in product correlation shows that the degree temperature change of flavors 1 during the placement 90d is less than 1 product .Before 45d product odor, there is significant change between product 1 and flavor 1, which may be a large change in the odor caused by substances.
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Application to electronic nose in Jinhua ham flavor recognition:
Pic. PCA analysis diagram of two samples of ham flavor
From the main component analysis chart, ham flavor samples 1 and 2 are clearly separated. It shows that the electronic nose can distinguish two kinds of ham flavor samples,and can be very sensitive to the nuances of ham flavor discrimination between samples.
The analysis of the gas shrimp flavor changes by using electronic nose under different reaction conditions
Pic. LDA analysis about different reaction temperature and reaction time flavor aroma of shrimp taste
As can be seen from the figure, with the reaction temperature and reaction time rising, LDA graph shows the distribution of samples obviously. As the reaction temperature rises, shrimp flavor aroma area on the first principal component direction disperses from left to right gradually.
It illustrates some of the major amount of volatile components of shrimp flavor of is gradually changing. With the extension of the reaction time, the sample distribution on the basic direction of the first principal component also shows gradually dispersed from left to right rule.
Application of Electronic nose in beef flavor recognition
Pic. PCA analysis of three kinds of flavors
As can be seen from the PCA diagram, it can be clearly separated from
reaction flavors added oxidation tallow thermal ( 21 # ), flavor added sordinary hot-add tallow ( 22 # ), flavors without adding tallow thermal reaction ( 23 # ). It shows electronic nose can distinguish sensitively three flavors, and there are some differences in three flavors .
Application of electronic nose technology in vinegar
Pic. PCA analysis of different kinds of vinegar
Zhenjiang vinegar Zhenjiang aromatic vinegar
Acetacetic Delicious fresh white vinegar
Gold standard vinegar Gantry white vinegar
Gantry vinegar Tower vinegar
Apple cider vinegar
As can be seen from the figure, the electronic nose can be well distinguished from different brands of vinegar distinction, although a variety of brands of vinegar have a certain similarity in brewing raw materials, the brewing process and origin.
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Electronic nose technology in the pre-evaluation of the quality of the application of vinegar
Pic. analysis of five kinds of vinegar linear discriminant (LDA) Figure
Vinegar
Aromatic vinegar
White vinegar
Vinegar
Apple cider vingar
Variance 1
It shows that vinegar, balsamic vinegar, rice vinegar position are closer in the figure, larger differences between white vinegar, apple cider vinegar and the other three kinds of vinegar, which shows different types of vinegar can be well distinguished. This verify the feasibility of electronic nose technology in the quality of the price of vinegar, and a convenient method for pre-evaluation of the quality of the vinegar is provided.
Application of electronic nose technology to identify and distinguish the smell of soy products
Pic. PCA analysis chart of the relationships of sauce with the electronic nose response signal
Electronic nose is used to identify and distinguish between nine soy products. It is found that PCA analysis that there are some differences between these nine soy sauce, and there are large differences between the two # 4, # 7 , # 8 , # 9 soy sauce samples. But 1 #, 3 #, 5 # and 6 # sample are similar.
The application of smart nose on Environment、Microorganism
The smart nose is applied to distinguish the smell of each processing unit gas from urban sewage treatment plant.
Pic. The comparison of each treatment unit’s PCA principal component from urban sewage treatment plant.
(Note: the 3rd to the grid; the 4th of grit chamber; the 5th to the aeration tank ; the 6th of biochemical pool ; the 7th of sludge thickening ground; the 8th of sludge dewatering room)
The PCA picture of actual gas’s
The graph shows that each of the urban sewage treatment plant processing units distributed in different regions, without overlapping each other; the No.7 gas is far from than other gases, while other gases stay close. It indicates that the No.3, No.4 , No. 5, No. 6 and No. 8 gas odor are similar, and the difference is relatively small. But compared with the No.7 gas, the difference is relatively large. In summary, the smart nose can be used to distinguish the smell of each processing unit gas from urban sewage treatment plant.
The use of Smart Nose in gas detection
Pic. PCA’s recognition results for the three gases
Main component 1
Main component 2
The graph shows that CH4、C3H8 and H2 distributed in different regions without overlapping each other, which illustrates that Smart Nose’s PCA analysis can tell the difference from CH4、C3H8 and H2. The smart nose can be used in the different gases detection.