CHEN Xiu-ming, LIU Qing, LIANG Hao-xin, ZHANG Jia-jun, WEN Hui-yi, XIE Jin-feng, CHEN Shao-min. Rapid Method for the Identification of Illegal Additives in Infant Formula Based on Near Infrared Spectroscopy[J]. Science and Technology of Food Industry, 2020, 41(1): 224-228,283. DOI: 10.13386/j.issn1002-0306.2020.01.036
Citation: CHEN Xiu-ming, LIU Qing, LIANG Hao-xin, ZHANG Jia-jun, WEN Hui-yi, XIE Jin-feng, CHEN Shao-min. Rapid Method for the Identification of Illegal Additives in Infant Formula Based on Near Infrared Spectroscopy[J]. Science and Technology of Food Industry, 2020, 41(1): 224-228,283. DOI: 10.13386/j.issn1002-0306.2020.01.036

Rapid Method for the Identification of Illegal Additives in Infant Formula Based on Near Infrared Spectroscopy

  • The rapid identification method was established by using near infrared spectroscopy combined with Adulterant Screen algorithm to identify the illegal additive in infant formula. Infant formula and illegal additives near-infrared spectrum were collected to establish the formula classification model and adulteration model.Using the Adulterant Screen algorithm to calculation and analysis,establishes the infant formula in the rapid identification of illegal additives. The minimum detection concentration of methods of single component adulterated infant formula was as follows:Melamine 0.04%,cyromazine 0.05%,urea,biuret and thiourea 0.1%,dicyandiamide 0.2%. The accurate identification rate of two-component and three-component adulterated infant formula at the detection limit concentration of two to ten times were 83.3% and 50%. The identification rate of unknown samples without adulteration was 100%. At the same time,the identification model could quickly identify multiple illegal additives through one model. The model established in this study could provide a simple,fast,reliable,nondestructive adulteration identification method for infant formula. It could be effectively used in the daily detection of adulteration identification of infant formula and provides strong technical support for the detection and supervision of infant formula.
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