基于红外光谱法结合SIMCA模式识别不同产地三七
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摘要
目的:通过近红外光谱法快速鉴别不同产地三七。方法:采用傅里叶变换近红外光谱法结合SIMCA模式识别技术对10个不同产地共50批次的三七样品进行了产地鉴别。结果:不同产地的三七样品能较好地区分开,建立的模型对样品的识别率高达100%,说明了所建立的方法性能优良,适用于三七药材不同产地的分类鉴别。结论:近红外指纹图谱技术结合模式识别法为三七产地鉴别提供了一种简便、快速、准确的鉴定方法。
Objective: To rapidly identify the origin of Panax notoginseng by near infrared spectroscopy. Methods: A total of 50 batches of samples from 10 different producing areas were identified using Fourier transform infrared spectroscopy and SIMCA with the technology of pattern recognition. Results: Samples from different producing areas could be divided by using this method, the recognition rate and rejection rate of samples of Panax notoginseng samples were both up to 100%, indicating that the established method had good performance and was suitable for the classification of Panax notoginseng from different producing areas. Conclusion: The combination of near infrared fingerprint technology and pattern recognition method provides a simple, fast and accurate way for the identification of Panax notoginseng.
Objective: To rapidly identify the origin of Panax notoginseng by near infrared spectroscopy. Methods: A total of 50 batches of samples from 10 different producing areas were identified using Fourier transform infrared spectroscopy and SIMCA with the technology of pattern recognition. Results: Samples from different producing areas could be divided by using this method, the recognition rate and rejection rate of samples of Panax notoginseng samples were both up to 100%, indicating that the established method had good performance and was suitable for the classification of Panax notoginseng from different producing areas. Conclusion: The combination of near infrared fingerprint technology and pattern recognition method provides a simple, fast and accurate way for the identification of Panax notoginseng.
引文
[1] 中华人民共和国药典委员会.中国药典(一部)[M].北京:化学工业出版社,2015:142.
[2] 明·李时珍.中华医书集成·本草纲目[M].北京:中医古籍出版社,1999:615-616.
[3] 申琼琪,侯惠婵,栗建明,等.板蓝根与南板蓝根及其伪品的比较鉴别[J].中国医药工业杂志,2014,45(1):31-34.
[4] 侯惠婵,施亦斌,江英桥,等.冬虫夏草、延胡索、黄柏等中药材商品真伪鉴别资料库示范性研究[J].中国现代中药,2007(10):24-26,40.
[5] 胡琴,陶诗顺.半夏研究和开发最新进展及其思考[J].西南科技大学学报(自然科学版),2005(1):63-68.
[6] Blanco M,CoelloJ.Iturriaga.de la Pezuela[J].C Analyst,1998,123(8):135.
[7] 白钢,丁国钰,侯媛媛,等.引进近红外技术用于中药材品质的快速评价[J].中国中药杂志,2016,41(19):3501-3505.
[8] 闫珂巍,陈美君,梅国荣,等.近红外光谱法测定三七中3种皂苷的总含量[J].药物分析杂志,2016,36(4):691-696.
[9] 张延莹,张金巍,刘岩.近红外光谱技术鉴别三七及其伪品[J].中药材,2010,33(3):363-366.
[10] 张强.NIRS和HPLC在丹参质量分析中的应用研究[D].郑州:河南中医学院,2015.
[11] 刘源,陈伟华,侯巧娟,等.应用近红外光谱技术评价冰鲜大黄鱼新鲜度的研究[J].光谱学与光谱分析,2014,34(4):937-941.
[12] 董利锋,YANTianhai,屠焰,等.中红外光谱技术在牛奶营养物质预测及奶牛相关特性分析上的应用[J].动物营养学报,2016,28(2):326-334.
[13] 金垚,杜斌,智秀娟.NIR技术快速鉴定牛奶品牌与掺假识别[J].食品研究与开发,2016,37(3):178-181.
[14] 刘雪云,熊智新,胡慕伊.基于SIMCA模型的纸浆种类近红外光谱鉴别[J].中国造纸,2011,30(7):20-24.
[15] 陈燕清.化学计量学在食品分类鉴别及防腐剂含量分析中的应用[D].南昌:南昌大学,2010.
[16] 张宁,张德权,李淑荣,等.近红外光谱结合SIMCA法溯源羊肉产地的初步研究[J].农业工程学报,2008,24(12):309-312.
[17] 梁云,姜范成,李宪刚,等.近红外漫反射光谱法鉴别伤科接骨片的研究[J].中国药物评价,2016,33(5):420-422.
[18] 陈冬梅.柑桔黄龙病叶近红外光谱特征及药效评价应用[D].广州:华南农业大学,2016.
[19] 徐荣,孙素琴,刘友刚,等.红外光谱与聚类分析法无损快速鉴别肉苁蓉[J].光谱学与光谱分析,2009,29(7):1860-1863.
[20] 丁轻针,刘玲玲,武彦文,等.基于FTIR的芝麻油真伪鉴别和掺伪定量分析模型[J].光谱学与光谱分析,2014,34(10):2690-2695.
[21] 胡甜,杨海龙,汤清,等.微型近红外光谱技术快速鉴别霍山石斛种类(英文)[J].光谱学与光谱分析,2014,34(10):2808-2814.
[22] 孙仁爽,金哲雄,张哲鹏,等.牻牛儿苗科11种中药材红外光谱鉴定及聚类分析[J].光谱学与光谱分析,2013,33(2):371-375.
[2] 明·李时珍.中华医书集成·本草纲目[M].北京:中医古籍出版社,1999:615-616.
[3] 申琼琪,侯惠婵,栗建明,等.板蓝根与南板蓝根及其伪品的比较鉴别[J].中国医药工业杂志,2014,45(1):31-34.
[4] 侯惠婵,施亦斌,江英桥,等.冬虫夏草、延胡索、黄柏等中药材商品真伪鉴别资料库示范性研究[J].中国现代中药,2007(10):24-26,40.
[5] 胡琴,陶诗顺.半夏研究和开发最新进展及其思考[J].西南科技大学学报(自然科学版),2005(1):63-68.
[6] Blanco M,CoelloJ.Iturriaga.de la Pezuela[J].C Analyst,1998,123(8):135.
[7] 白钢,丁国钰,侯媛媛,等.引进近红外技术用于中药材品质的快速评价[J].中国中药杂志,2016,41(19):3501-3505.
[8] 闫珂巍,陈美君,梅国荣,等.近红外光谱法测定三七中3种皂苷的总含量[J].药物分析杂志,2016,36(4):691-696.
[9] 张延莹,张金巍,刘岩.近红外光谱技术鉴别三七及其伪品[J].中药材,2010,33(3):363-366.
[10] 张强.NIRS和HPLC在丹参质量分析中的应用研究[D].郑州:河南中医学院,2015.
[11] 刘源,陈伟华,侯巧娟,等.应用近红外光谱技术评价冰鲜大黄鱼新鲜度的研究[J].光谱学与光谱分析,2014,34(4):937-941.
[12] 董利锋,YANTianhai,屠焰,等.中红外光谱技术在牛奶营养物质预测及奶牛相关特性分析上的应用[J].动物营养学报,2016,28(2):326-334.
[13] 金垚,杜斌,智秀娟.NIR技术快速鉴定牛奶品牌与掺假识别[J].食品研究与开发,2016,37(3):178-181.
[14] 刘雪云,熊智新,胡慕伊.基于SIMCA模型的纸浆种类近红外光谱鉴别[J].中国造纸,2011,30(7):20-24.
[15] 陈燕清.化学计量学在食品分类鉴别及防腐剂含量分析中的应用[D].南昌:南昌大学,2010.
[16] 张宁,张德权,李淑荣,等.近红外光谱结合SIMCA法溯源羊肉产地的初步研究[J].农业工程学报,2008,24(12):309-312.
[17] 梁云,姜范成,李宪刚,等.近红外漫反射光谱法鉴别伤科接骨片的研究[J].中国药物评价,2016,33(5):420-422.
[18] 陈冬梅.柑桔黄龙病叶近红外光谱特征及药效评价应用[D].广州:华南农业大学,2016.
[19] 徐荣,孙素琴,刘友刚,等.红外光谱与聚类分析法无损快速鉴别肉苁蓉[J].光谱学与光谱分析,2009,29(7):1860-1863.
[20] 丁轻针,刘玲玲,武彦文,等.基于FTIR的芝麻油真伪鉴别和掺伪定量分析模型[J].光谱学与光谱分析,2014,34(10):2690-2695.
[21] 胡甜,杨海龙,汤清,等.微型近红外光谱技术快速鉴别霍山石斛种类(英文)[J].光谱学与光谱分析,2014,34(10):2808-2814.
[22] 孙仁爽,金哲雄,张哲鹏,等.牻牛儿苗科11种中药材红外光谱鉴定及聚类分析[J].光谱学与光谱分析,2013,33(2):371-375.