安徽农业科学2017,Vol.45Issue(10) :115-117.

FT-IR法鉴定中药海金沙正品及其掺伪品

Identification of Quality Goods and Adulterants of Traditional Chinese Medicine Lygodium japonicum(Thunb.)Sw by FT-IR

张道英 陈娇婷 王妙飞 吴琪 刘海
安徽农业科学2017,Vol.45Issue(10) :115-117.

FT-IR法鉴定中药海金沙正品及其掺伪品

Identification of Quality Goods and Adulterants of Traditional Chinese Medicine Lygodium japonicum(Thunb.)Sw by FT-IR

张道英 1陈娇婷 1王妙飞 1吴琪 1刘海1
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作者信息

  • 1. 赣南医学院,江西赣州 341000
  • 折叠

摘要

[目的]利用傅里叶变换红外光谱法(FT-IR法)鉴别中药材海金沙的正品及其掺伪品.[方法]在合适的条件下(光谱范围:4000~400 cm-1;分辨率:4 cm-1;透过率:0~100%;扫谱次数:32次;速度:0.632 9 cm/s;检测器:DTGSKBr;Thermo scientific EZ OMNIC仪器系统操作软件;图谱修正:水和二氧化碳;背景光谱管理:采集样品前采集背景),利用FT-IR法测定海金沙样品及其掺伪品的红外吸收谱图,并做比较.[结果]各海金沙样品的红外光谱图基本一致,海金沙的黄土掺伪品和海金沙的蒲黄掺伪品的红外吸收图谱与海金沙的红外吸收图谱存在明显差别.该试验方法的精密度、重复性及稳定性考察合格.[结论]此方法简便、准确,可用于中药材海金沙正品及其掺伪品的鉴别.

Abstract

[Objective] The research aimed to identify quality goods and its adulterant of traditional Chinese medicine Lygodium japonicum by FT-IR method.[Method] Under the right conditions (spectral range:4000-400 cm-1;resolution:4 cm-1;transmittance:0-100%;sweep frequency spectrum:32 times;speed:0.6329 cm/s;detector:DTGSKBr;Thermo scientific EZ OMNIC instrument system operating software;spectrum correction:water and carbon dioxide;background spectrum management:sampling samples before background) using FT-IR to measure the infrared absorption spectrums of Lygodium japonicum samples and its adulterant,and then compare them.[Result] The infrared spectra of each sample of Lygodium japonicum were basically the same.There were obvious difference between infrared spectra of quality goods and its adulterants.The precision,repeatability and stability test of the experimental method were qualified.[Conclusion] This method is simple and accurate and could use to identify quality goods and its adulterants of Lygodium japonicum.

关键词

FT-IR法/海金沙/海金沙掺伪品

Key words

FT-IR method/Lygodium japonicum(Thunb.)Sw/Adulterants of Lygodium japonicum

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基金项目

江西省科技厅青年科学基金(20161BAB215220)

赣州市社会科学研究课题(16088)

赣南医学院校级科研课题(YB201609)

出版年

2017
安徽农业科学
安徽省农业科学院

安徽农业科学

影响因子:0.413
ISSN:0517-6611
被引量5
参考文献量11
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