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ABSTRACT

In this paper, based on the analysis and test methods of national standards (GB14754-2010) and chemical analysis and test items carried out by chemical enterprises, a set of automatic processing of quality analysis test data of ascorbic acid products was developed by using access database technology and Visual Basic programming language system, and its stability was investigated. The results show that the software can manage intelligently all aspects of the quality analysis and test of ascorbic acid products, uploading timely the data and results of the analysis and inspection to the network and saving it for users, enterprises and quality management, which set up a network of information sharing platform to ensure the authenticity and reliability of measurement results, improving greatly the speed of data processing, saving valuable time, reducing production costs with good economic efficiency and social benefit. It has practical value for ascorbic acid quality analysis test data processing automatically the results of the implementation of intelligent management.

KEYWORDS

Food additive, ascorbic acid, quality analysis test, intelligent management, software development.

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References

[1] Zhang, H., Zhang, G., Ye, H., Cui, J., and Qi, J. H. 2015. “Computer Management of Quantitative Analysis Chemistry Experiment.” Journal of Chemistry and Chemical Engineering 9 (2): 149-51.

[2] WuHan University. 2011. Analytical Chemistry Experiment. Beijing: Higher Education Press.

[3] Zhang, H., Zhang, G., Zhang, Q., Cui, J., and Qi, J. H. 2014. “Computer Management of Quantitati Ve Analysia Chemistry Experiment.” Journal of Chemistry and Chemical Engineering 8 (2): 176-9.

[4] Zhang, H., Zhang, G., and Ye, H. 2016. “Development and Application of Software in Chemical Product Quality Analysis and Inspection Management System.” Computers and Applied Chemistry 33 (7): 838-42.

[5] Zhang, H., Zhang, G., and Zhang, L. 2015. “Network Management of Food Additives Quality Analysis and Inspection.” Journal of Chemistry and Chemical Engineering 9 (7): 468-71.

[6] Zhang, H., Zhang, G., and Zhang, L. 2016. “Intelligent Management Based on Chemical Reagent Quality Analysis.” Journal of Chemistry and Chemical Engineerin 10 (7): 336-40.

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