光谱学与光谱分析
|
近红外漫反射光谱法测定川产黄柏中小檗碱含量
周旻1 ,王天志1 ,叶利明1* ,陈聪1 ,黄果2 ,吴严巍2
1. 四川大学华西药学院,四川 成都 610041 2. 布鲁克光谱仪器公司,北京 100081
Determination of Berberine in Phellodendron Chinese Schneid from Sichuan Using Near Infrared Diffuse Reflectance Spectroscopy
ZHOU Min1 ,WANG Tian-zhi1 ,YE Li-ming1* ,CHEN Cong1 ,HUANG Guo2 ,WU Yan-wei2
1. West China School of Pharmacy,Sichuan University,Chengdu 610041,China 2. Bruker Instruments LTD.,Beijing 100081,China
摘要 : 提出了用近红外光谱技术快速测定川产中药黄柏中指标成分小檗碱含量的方法。对小檗碱含量在2.155%~8.245%范围的不同来源的黄柏,根据其在12 500~3 600 cm-1 的近红外吸收光谱,采用偏最小二乘算法(PLS)建立了校正模型,比较了光谱不同预处理方法对校正结果的影响 。当采用二阶导数处理方法时能最有效地提取光谱的信息,此时校正集相关系数(r 2 )为0.922 1,校正集标准偏差(SEC)为0.337,预测集标准偏差(SEP)为0.251 。该方法快速简便,适合于中药指标成分的快速分析。
关键词 :近红外漫反射光谱;黄柏;小檗碱;PLS
Abstract :The objective of the present study was to develop a method for the determination of berberine in phellodendron chinese schneid from Sichuan using near infrared diffuse reflectance spectroscopy. Near infrared spectra (NIR) in the range of 12 500-3 600 cm-1 were recorded for the phellodendron chinese schneid containing berberine in the content of 2.155%-8.245% of berberine. Calibration models were established using the PLS (partial least squares). Different spectra pretreatments methods were compared. The study showed that spectra information can be extracted thoroughly by second derivative pretreatments method with the correlation coefficient(r 2 ) of 0.922 1,SEC 0.337 (standard deviation of the calibration sets) and SEP 0.251 (standard deviation of the prediction sets). Results indicated that near infrared diffuse reflectance spectroscopy method can be used to rapidly analyze the valid component in Chinese herbs.
Key words :Near infrared diffuse reflectance spectroscopy;Phellodendron chinese Schneid;Berberine;PLS
收稿日期: 2006-05-28
修订日期: 2006-08-26
通讯作者:
叶利明
E-mail: dryelimin@sohu.com
引用本文:
周旻1 ,王天志1 ,叶利明1* ,陈聪1 ,黄果2 ,吴严巍2 . 近红外漫反射光谱法测定川产黄柏中小檗碱含量[J]. 光谱学与光谱分析, 2007, 27(08): 1527-1530.
ZHOU Min1 ,WANG Tian-zhi1 ,YE Li-ming1* ,CHEN Cong1 ,HUANG Guo2 ,WU Yan-wei2 . Determination of Berberine in Phellodendron Chinese Schneid from Sichuan Using Near Infrared Diffuse Reflectance Spectroscopy. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(08): 1527-1530.
链接本文:
https://www.gpxygpfx.com/CN/Y2007/V27/I08/1527
[1] FANG Qing-mao,CAO Hao,SHU Guang-ming(方清茂,曹 浩,舒光明). West China Journal of Pharmaceutical Sciences(华西药学杂志),2004,19(4): 275. [2] ZHENG Hong-yan,XU Wei-ren(郑洪艳,徐为人). Chinese Traditional and Herbal Drugs(中草药),2004,35(6 ): 708. [3] CHEN Bin,ZHAO Long-lian,LI Jun-hui,et al(陈 斌,赵龙莲,李军会,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2002,22(6): 976. [4] DU De-guo,SUN Su-qin,ZHOU Qun,et al(杜德国,孙素琴,周 群,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2000,20(4): 474. [5] WANG Li,HE Ying,QIU Zhao-chai,et al(王 丽,何 鹰,邱招钗,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2005,25(9): 1397. [6] SUN Su-qin,ZHOU Qun,LIANG Xi-yun,et al(孙素琴,周 群,梁曦云,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2002,22(4): 600. [7] SUN Su-qin,ZHOU Qun,YU Jian-yaun,et al(孙素琴,周 群,郁鉴源,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2002,20(2): 199. [8] YANG Nan-lin,CHENG Yi-yu,WU Yong-jiang(杨南林,程翼宇,吴永江). Acta Chimica Sinica(化学学报),2003,61(3): 393. [9] LU Yong-jun,CHEN Hua-cai,L Jin,et al(芦永军,陈华才,吕 进,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2005,25(8): 1243. [10] WANG Yi-ming,ZHAO Lu-hua,LIN Si-lan(王义明,赵陆华,林似兰). Acta Pharmaceutics Sinica(药学学报),1989,24(4): 275. [11] XU Guang-tong,YUAN Hong-fu,LU Wan-zhen(徐广通,袁洪福,陆婉珍). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2000,20(5): 619. [12] XU Guang-tong,YUAN Hong-fu,LU Wan-zhen(徐广通,袁洪福,陆婉珍). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2001,21(4): 459. [13] Gabriele Reich. Advanced Drug Delivery Reviews,2005,57: 1109. [14] Swierenga H,de Groot P J,de Weijer A P,et al. Chemometrics and Intelligent Laboratory,1998,41: 237. [15] LU Wan-zhen,YUAN Hong-fu,XU Guang-tong,et al(陆婉珍,袁洪福,徐广通,等). Modern Analysis Technique of NIR(现代近红外光谱分析技术). Beijing: Sinica Petro Chemistry Press(北京: 中国石化出版社),2000. 170.
[1]
刘文博,刘 瑾,韩同帅,葛 晴,刘 蓉. 皮肤真皮层厚度对近红外光谱法无创血糖测量影响的仿真 [J]. 光谱学与光谱分析, 2023, 43(09): 2699-2704.
[2]
王金梅,何 适,张航熙,杨 晨,尹义同,张 莉,郑培超. 基于SG-Lasso-PLS融合算法的水体硝酸盐氮紫外光谱检测研究 [J]. 光谱学与光谱分析, 2023, 43(04): 1037-1042.
[3]
高西娅,张朱珊莹,卢翠翠,蒙泳吉,曹汇敏,郑冬云,张 莉,谢勤岚. 基于SiPLS-SPA波长优选的血红蛋白定量分析研究 [J]. 光谱学与光谱分析, 2023, 43(01): 50-56.
[4]
欧阳爱国,余 斌,胡 军,林同征,刘燕德. 激光诱导击穿光谱的高铁车轮钢晶粒度等级研究 [J]. 光谱学与光谱分析, 2022, 42(11): 3428-3434.
[5]
付洪波,吴 边,王华东,张梦阳,张志荣. 激光诱导击穿光谱定量分析锂矿石中锂元素 [J]. 光谱学与光谱分析, 2022, 42(11): 3489-3493.
[6]
王 希,陈桂芬,曹丽英,马 丽. 等效水厚度梯度的玉米叶片氮素反演模型研究 [J]. 光谱学与光谱分析, 2022, 42(09): 2913-2918.
[7]
张俊逸,高德华,宋 迪,乔 浪,孙 红,李民赞,李 莉. PROSPECT模型的特征波长优化与作物叶绿素含量检测 [J]. 光谱学与光谱分析, 2022, 42(05): 1514-1521.
[8]
江晓宇,李福生,王清亚,罗 杰,郝 军,徐木强. X射线荧光光谱结合CARS变量筛选选择方法用于土壤中铅砷含量的测定 [J]. 光谱学与光谱分析, 2022, 42(05): 1535-1540.
[9]
. 基于拉曼光谱技术的桑椹花色素苷快速检测研究 [J]. 光谱学与光谱分析, 2021, 41(12): 3771-3775.
[10]
. 应用高光谱图像检测鱼肉挥发性盐基总氮含量研究 [J]. 光谱学与光谱分析, 2021, 41(08): 2586-2590.
[11]
. 可见近红外高光谱成像对灵武长枣定量损伤等级判别 [J]. 光谱学与光谱分析, 2021, 41(04): 1182-1187.
[12]
. 花生蛋白组分及其亚基含量近红外分析检测方法 [J]. 光谱学与光谱分析, 2021, 41(03): 912-917.
[13]
. 基于PSO-PLS混合算法的水体COD紫外吸收光谱检测研究 [J]. 光谱学与光谱分析, 2021, 41(01): 136-140.
[14]
. 基于高效分离不皂化物的傅里叶红外光谱结合化学计量学鉴定芝麻油 [J]. 光谱学与光谱分析, 2021, 41(01): 319-326.
[15]
. 基于重构三维荧光光谱结合偏最小二乘判别分析的油类识别方法研究 [J]. 光谱学与光谱分析, 2020, 40(12): 3789-3794.