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微晶纤维素掺假的快速鉴别方法
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A rapid identification method for adulteration of microcrystalline cellulose
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    摘要:

    研究了微晶纤维素掺假的近红外光谱快速鉴别方法。基于微晶纤维素样品及掺假物(可溶性淀粉,小麦粉)的近红外光谱数据,分别创建材料谱数据库及掺假物光谱数据库,建立微晶纤维素分类模型及掺假物模型,采用Adulterant Screen算法技术进行计算分析,创建了微晶纤维素掺假快速鉴别方法。微晶纤维粉单一组份掺假的识别最低检出含量为:可溶性淀粉2%、小麦粉1%,双组分(可溶性淀粉+小麦粉)掺假量在单组份掺假检出限浓度的2~10倍时,准确的识别率均为100%,对未知样品微晶纤维素在检出限以上的准确识别率为100%。该方法简单、快速、可靠,可快速鉴别微晶纤维素样品的掺假,可以有效地应用于日常微晶纤维素样品的掺假检测和鉴定,为海关打击逃税漏税行为提供有力的技术支持。

    Abstract:

    A rapid identification method of microcrystalline cellulose adulteration by near infrared spectroscopy was studied. Based on the near-infrared spectrum data of microcrystalline cellulose samples and adulterants (soluble starch, wheat flour), the material spectrum database and the adulterant spectrum database were created respectively, and the microcrystalline cellulose classification and the adulterant models were also established. A rapid identification method for microcrystalline cellulose adulteration was established by using the Adulterant Screen algorithm technology for calculation and analysis. The minimum detected content of single component adulteration of microcrystalline fiber powder was 2% soluble starch and 1% wheat flour, and the accurate recognition rate was 100%. When the adulteration of two components (soluble starch + wheat flour) was two to ten times of the detection limit concentration of one component, the accurate recognition rate was 100%. The accurate recognition rate of unknown sample microcrystalline cellulose above the detection limit is 100%. The method is simple, rapid and reliable, and can quickly identify adulteration of microcrystalline cellulose samples. It can be effectively applied to the adulteration detection and identification of daily microcrystalline cellulose samples, which could provide technical support for the customs to crack down on tax evasion and evasion.

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陈秀明,梁浩新*,黄伟强,奚星林,李 双,张嘉俊.微晶纤维素掺假的快速鉴别方法[J].粮油食品科技,2023,31(1):181-188.

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  • 在线发布日期: 2023-01-29
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