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Verification and analysis of rapid detection results of sulfur dioxide in food
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Cong WU, Pei-Chun JIANG, Hong-Tao SHEN, Chang-Hong LIN*
Laboratory Testing | 2024, 2(8) : 136 - 139
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Laboratory Testing | 2024, 2(8): 136-139
Evaluation and Analysis
Verification and analysis of rapid detection results of sulfur dioxide in food
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Cong WU, Pei-Chun JIANG, Hong-Tao SHEN, Chang-Hong LIN*
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  • Rapid Food Testing and Examination Division Shenzhen Academy of Metrology & Quality Inspection Shenzhen 518131 China
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Objective To verify the accuracy of rapid detection results for sulfur dioxide. Methods Distillation iodine titration method was used to detect 598 batches of food samples in the rapid detection project, and the accuracy of the rapid detection results was analyzed. Results The overall accuracy of the sulfur dioxide rapid detection project was 93%, with a positive accuracy of 94% and a negative accuracy of 96%. The accuracy is less affected by the factors of rapid detection personnel, ranging from 92% to 94%; The fluctuation range of food variety factors is 75% to 100%; The fluctuation range of fast inspection product factors is 83% to 100%. The quick test results have a moderate degree of consistency with the laboratory results, with a Kappa value of 0.465. The higher the sulfur dioxide content in the sample, the more obvious the quick test results are, and the higher the accuracy of the quick test results.Continuously strengthening the management of rapid inspection products, selecting suitable food varieties, and sampling representative samples can further improve the accuracy of results. Conclusion The data from this validation proves that the fast detection method has high accuracy and can meet the requirements of on-site risk screening, effectively preventing food safety risks.

sulfur dioxide  /  rapid detection  /  result verification  /  accuracy
Cong WU, Pei-Chun JIANG, Hong-Tao SHEN, Chang-Hong LIN. Verification and analysis of rapid detection results of sulfur dioxide in food[J]. Laboratory Testing, 2024 , 2 (8) : 136 -139 .
Year 2024 volume 2 Issue 8
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  • Online Date:2025-07-29
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    Rapid Food Testing and Examination Division Shenzhen Academy of Metrology & Quality Inspection Shenzhen 518131 China

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*LIN Chang-Hong, Master, Senior Engineer, Shenzhen Academy of Metrology & Quality Inspection, Rapid Food Testing and Examination Division, No.114, Minkang Road, Minzhi District, Shenzhen 518131, China. E-mail:
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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