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Study On Cleaner Production Process Of Electrochemical Liquor Grading Based On Graphene Electrode

Posted on:2022-01-04Degree:MasterType:Thesis
Country:ChinaCandidate:M Z ZhouFull Text:PDF
GTID:2481306722462534Subject:Environmental Engineering
Abstract/Summary:PDF Full Text Request
Liquor industry in China plays a very important role in the domestic economy,but the grading technology in the process of liquor production has been unable to be improved due to the limitation of traditional technology.The traditional grading method usually adopts the manual method to carry out the wine picking classification,which is very easy to be influenced by human and makes the wine picking classification inaccurate and untimely,which makes it difficult for liquor enterprises to reduce the consumption of raw materials,reduce the waste production and improve the rate of high-quality wine.In order to achieve "energy saving,consumption reduction,pollution reduction and efficiency enhancement" in clean production of liquor,this paper used the characterized mature graphene electrode as the detection electrode to explore the application of electrochemical method in liquor picking and classification process,and thus developed a clean production process of liquor grading based on electrochemistry.By improving the accuracy of liquor picking,reducing the production of liquor head and tail,reducing the production of pollutants and the consumption of raw materials;By improving the accuracy and timeliness of liquor grading,the economic benefits of enterprises are improved on the basis of increasing the rate of high-quality liquor and reducing the amount of tail liquor.The specific main research contents are as follows:1.A three-electrode system was used to collect the electrochemical impedance spectrum signals of liquor with different known alcoholic degrees.By collecting the phase Angle method at the characteristic frequency and establishing the standard curve equation of detection and verification,the identification model database of electrochemical alcohol signal was established.When distilling liquor on site,the electrochemical impedance signal obtained by scanning and the identification model database are analyzed and compared,the alcohol precision of the detected liquor can be accurately obtained,and accurate wine picking can be realized.The accuracy of the electrochemical method is about ±0.70 degrees,which is significantly improved compared with the traditional manual method,which is about ±4.72 degrees,and it is not disturbed by human factors.2.Using a three-electrode system,electrochemical oxidation voltammetry was used to scan the electrochemical fingerprint signals of known grades of liquor with different physical states formed by ethanol,water and flavor substances self-assembled.The dimensionality reduction and principal component analysis of the collected signal data were carried out by using Matlab,and the model database of liquor grade identification was established.In the detection of newly produced raw liquor,the quality grade of detected liquor can be obtained by comparing the scanning signal of electrochemical oxidation voltammetry with the database of recognition model,and the real-time and accurate grading of new distilled liquor can be realized.The recognition rate of this electrochemical method is above 83.75%.3.After the research on the grading process of electrochemical clean production of liquor based on graphene electrode was completed,the author compared the traditional grading process with the electrochemical clean production grading process and analyzed the economic benefits.When the same amount of liquor is produced,the consumption of raw materials is reduced by 8.44% compared with the traditional process.Increased the yield of main wine by 6.79%;The economic benefit of liquor production was greatly improved,and the research goal of "saving energy,reducing consumption,reducing pollution and increasing efficiency" was reached.
Keywords/Search Tags:liquor grading, cleaner production, electrochemical detection, dimensionality reduction analysis
PDF Full Text Request
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