A rapid identification method for adulteration of microcrystalline cellulose
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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Academy of National Food and Strategic Reserves Administration
2023-01-01
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| Series: | Liang you shipin ke-ji |
| Subjects: | |
| Online Access: | http://lyspkj.ijournal.cn/lyspkj/article/abstract/20230124?st=article_issue |
| _version_ | 1797895417445220352 |
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| author | CHEN Xiu-ming LIANG Hao-xin HUANG Wei-qiang XI Xing-lin LI Shuang ZHANG Jia-jun |
| author_facet | CHEN Xiu-ming LIANG Hao-xin HUANG Wei-qiang XI Xing-lin LI Shuang ZHANG Jia-jun |
| author_sort | CHEN Xiu-ming |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T07:26:34Z |
| format | Article |
| id | doaj.art-93e06e7f5d144989adb2fb744af23999 |
| institution | Directory Open Access Journal |
| issn | 1007-7561 |
| language | English |
| last_indexed | 2024-04-10T07:26:34Z |
| publishDate | 2023-01-01 |
| publisher | Academy of National Food and Strategic Reserves Administration |
| record_format | Article |
| series | Liang you shipin ke-ji |
| spelling | doaj.art-93e06e7f5d144989adb2fb744af239992023-02-24T06:44:04ZengAcademy of National Food and Strategic Reserves AdministrationLiang you shipin ke-ji1007-75612023-01-0131118118810.16210/j.cnki.1007-7561.2023.01.023A rapid identification method for adulteration of microcrystalline celluloseCHEN Xiu-ming0LIANG Hao-xin1HUANG Wei-qiang2 XI Xing-lin3LI Shuang4ZHANG Jia-jun5Guangzhou Customs Technology Center, Guangzhou, Guangdong 510623, ChinaGuangzhou Customs Technology Center, Guangzhou, Guangdong 510623, ChinaGuangzhou Customs Technology Center, Guangzhou, Guangdong 510623, ChinaGuangzhou Customs Technology Center, Guangzhou, Guangdong 510623, ChinaGuangzhou Customs Technology Center, Guangzhou, Guangdong 510623, ChinaGuangzhou Customs Technology Center, Guangzhou, Guangdong 510623, ChinaA 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.http://lyspkj.ijournal.cn/lyspkj/article/abstract/20230124?st=article_issuemicrocrystalline cellulosethe adulterationrapidlyidentification |
| spellingShingle | CHEN Xiu-ming LIANG Hao-xin HUANG Wei-qiang XI Xing-lin LI Shuang ZHANG Jia-jun A rapid identification method for adulteration of microcrystalline cellulose Liang you shipin ke-ji microcrystalline cellulose the adulteration rapidly identification |
| title | A rapid identification method for adulteration of microcrystalline cellulose |
| title_full | A rapid identification method for adulteration of microcrystalline cellulose |
| title_fullStr | A rapid identification method for adulteration of microcrystalline cellulose |
| title_full_unstemmed | A rapid identification method for adulteration of microcrystalline cellulose |
| title_short | A rapid identification method for adulteration of microcrystalline cellulose |
| title_sort | rapid identification method for adulteration of microcrystalline cellulose |
| topic | microcrystalline cellulose the adulteration rapidly identification |
| url | http://lyspkj.ijournal.cn/lyspkj/article/abstract/20230124?st=article_issue |
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