WANG Qingya,LI Fusheng,JIANG Xiaoyu,et al.Rapid Content Determination of Atractylenolides , , in Astractylodis Macrocephalae Rhizoma Based on Outer Product Fusion Spectra Combined with HPLC[J].zhongguo zhongyiyao xinxi zazhi,2021,28(1):86-91.[doi:10.19879/j.cnki.1005-5304.202004442]
外积融合光谱结合HPLC快速测定白术内酯Ⅰ、Ⅱ、Ⅲ含量
- Title:
- Rapid Content Determination of Atractylenolides , , in Astractylodis Macrocephalae Rhizoma Based on Outer Product Fusion Spectra Combined with HPLC
- 文章编号:
- 1005-5304(2021)01-0086-06
- Keywords:
- X-ray fluorescence spectroscopy; near infrared spectroscopy; N-way partial least square; atractylenolide; outer product fusion
- 分类号:
- R284.1
- 文献标志码:
- A
- 摘要:
- 目的 采用外积融合光谱结合HPLC建立白术内酯Ⅰ、Ⅱ、Ⅲ的定量分析模型,以实现快速检测。方法 收集不同产地白术饮片123批,采用HPLC测定白术内酯Ⅰ、Ⅱ、Ⅲ的含量,同时采集X射线荧光光谱和近红外光谱,采用多维偏最小二乘法建立3种白术内酯的定量分析模型。结果 白术中白术内酯Ⅰ、Ⅱ、Ⅲ的外积融合光谱定量分析模型的决定系数(R2)分别为0.946 4、0.917 2、0.955 8,校正均方根误差(RMSEC)分别为0.021 8、0.018 1、0.040 0,预测均方根误差(RMSEP)分别为0.031 1、0.025 8、0.049 8。结论 本研究建立的白术内酯Ⅰ、Ⅱ、Ⅲ外积融合光谱定量分析模型具有较好的准确性,可用于白术内酯Ⅰ、Ⅱ、Ⅲ的快速测定,为快速评价白术饮片质量提供依据。
- Abstract:
- Objective To establish a rapid quantification method for atractylenolides in Astractylodis Macrocephalae Rhizoma by outer product fusion (OPF) spectra and HPLC; To realize the rapid determination. Methods Totally 123 batches of Astractylodis Macrocephalae Rhizoma decoction pieces from different origins were collected. The contents of atractylenolide Ⅰ, Ⅱ and Ⅲ were determined by HPLC. X-ray fluorescence spectroscopy and near infrared spectroscopy of samples were also collected. The quantitative analysis model of three atractylenolides was established by N-way partial least square method. Results The determination coefficients (R2) of atractylenolide Ⅰ, Ⅱ and Ⅲ in OPF spectra analysis models were 0.946 4, 0.917 2, 0.955 8; root mean square error of calibration (RMSEC) were 0.021 8, 0.018 1, 0.040 0; root mean square error of prediction (RMSEP) were 0.031 1, 0.025 8, 0.049 8, respectively. Conclusion The established OPF quantitative analysis model of three types of atractylenolide in Astractylodis Macrocephalae Rhizoma has a good accuracy, which can be used for the rapid determination of atractylenolideⅠ, Ⅱ, and Ⅲ, providing a basis for the rapid evaluation of the quality of Astractylodis Macrocephalae Rhizoma decoction pieces.
参考文献/References:
[1] 国家药典委员会.中华人民共和国药典:一部[M].北京:中国医药科技出版社,2015:103. [2] 杨娥,钟艳梅,冯毅凡.白术化学成分和药理作用的研究进展[J].广东药学院学报,2012,28(2):218-221. [3] 李滢,陶海燕,杨秀伟.生白术和炒白术挥发油成分的GC-MS分析[J].药物分析杂志,2013,33(7):1210-1217. [4] 李伟,文红梅,张爱华,等.白术质量标准研究Ⅰ——HPLC法测定2种白术内酯的含量[J].药物分析杂志,2001,21(3):170-172. [5] 李木子,王京辉,郭洪祝,等.HPLC法测定白术饮片中多种化学成分的含量[J].药物分析杂志,2017,37(9):1585-1592. [6] 邵志愿,章娟,吴德玲,等.高效液相色谱法测定白术须根中白术内酯Ⅰ、Ⅱ、Ⅲ含量[J].安徽中医药大学学报,2020,39(1):84-87. [7] 邝俊维,卿萍,周子虬,等.HPLC法同时测定白术中白术内酯Ⅰ,Ⅱ,Ⅲ的含量[J].湖南师范大学自然科学学报,2017,40(6):55-60. [8] JAILLAIS B, PINTO R, BARROS A S, et al. Outer-product analysis (OPA) using PCA to study the influence of temperature on NIR spectra of water[J]. Vibrational Spectroscopy,2005,39(1):50-58. [9] 王国栋,李业芹,秦红勇.信息融合技术及其在医学领域中的应用[J].中国医疗设备,2012,27(9):131-132. [10] DI NATALE C, ZUDE-SASSE M, MACAGNANO A, et al. Outer product analysis of electronic nose and visible spectra:application to the measurement of peach fruit characteristics[J]. Analytica Chimica Acta,2002,459(1):107-117. [11] MAALOULY J, EVELEIGH L, RUTLEDGE D N, et al. Application of 2D correlation spectroscopy and outer product analysis to infrared spectra of sugar beets[J]. Vibrational Spectroscopy, 2004,36(2):279-285. [12] TERRA F S, ROSSEL R A V, DEMATTÊ J A. Spectral fusion by outer product analysis(OPA) to improve predictions of soil organic C[J]. Geoderma,2019,335:35-46. [13] XU D, CHEN S, ROSSEL R V, et al. X-ray fluorescence and visible near infrared sensor fusion for predicting soil chromium content[J]. Geoderma,2019,352:61-69. [14] 聂黎行,朱俐,戴忠,等.X射线荧光光谱技术在中药分析中的应用[J].中国药事,2016,30(7):691-694. [15] 赵凤春,万楷杨,刘晓谦,等.近红外漫反射光谱法快速测定苦参和白土苓药材中多指标成分的含量[J].光谱学与光谱分析,2014,34(10):2652-2656. [16] 解育静,张家楠,朱冬宁,等.肉桂中4种成分近红外定量分析模型的建立[J].中国实验方剂学杂志,2020,26(2):119-123. [17] 陈奕云.基于可见-近红外光谱的土壤部分重金属含量提取[D].武汉:武汉大学,2011. [18] 季耿善,徐彬彬.土壤粘土矿物反射特性及其在土壤学上的应用[J].土壤学报,1987,24(1):67-76. [19] 张宝明.白术内酯Ⅰ通过JNK-pSmad3L-c-Myc信号通路在体内和体外抗胆囊癌活性研究[D].晋中:山西医科大学,2017. [20] 熊蕴珠.白术内酯Ⅰ对MyD88+人卵巢癌细胞分泌的免疫抑制因子TGF-β1、IL-17A、IL-10和IL-4的影响[D].成都:成都中医药大学,2014. [21] MIR-MARQUÉS A, GARRIGUES S, CERVERA M L, et al. Direct determination of minerals in human diets by infrared spectroscopy and X-ray fluorescence[J]. Microchemical Journal,2014,117:156- 163. [22] REN H Y, ZHUANG D F, SINGH A N, et al. Estimation of As and Cu contamination in agricultural soils around a mining area by reflectance spectroscopy:a case study[J]. Pedosphere,2009, 19(6):719-726. [23] O’ROURKE S M, STOCKMANN U, HOLDEN N M, et al. An assessment of model averaging to improve predictive power of portable vis-NIR and XRF for the determination of agronomic soil properties[J]. Geoderma,2016,279:31-44. [24] MIR-MARQUÉS A, MARTÍNEZ-GARCÍA M, GARRIGUES S, et al. Green direct determination of mineral elements in artichokes by infrared spectroscopy and X-ray fluorescence[J]. Food Chemistry, 2016,196:1023-1030. [25] COMINO F, AYORA-CAÑADA M J, ARANDA V, et al. Near-infrared spectroscopy and X-ray fluorescence data fusion for olive leaf analysis and crop nutritional status determination[J]. Talanta, 2018,188:676-684. [26] MOROS J, JAVIER L, ASERNA J. Unveiling the identity of distant targets through advanced Raman-laser-induced breakdown spectroscopy data fusion strategies[J]. Talanta,2015,134:627- 639. [27] 高峰.基于二维相关谱掺杂牛奶检测方法研究[D].天津:天津大学,2013. [28] 王文秀,彭彦昆,孙宏伟,等.二维相关可见-近红外光谱结合支持向量机评价猪肉新鲜度[J].食品科学,2018,39(18):273-279. [29] JAILLAIS B, OTTENHOF M A, FARHAT I A, et al. Outer-product analysis (OPA) using PLS regression to study the retrogradation of starch[J]. Vibrational Spectroscopy,2006,40(1):10-19.
相似文献/References:
[1]龙长江,黎煊,刘浩鹏.基于潜在语义分析的中药分类技术[J].中国中医药信息杂志,2015,22(3):5.[doi:10.3969/j.issn.1005-5304.2015.03.002]
LONG Chang-jiang,LI Xuan,LIU Hao-peng.Classification Technology of Traditional Chinese Medicine Based on Latent Semantic Analysis[J].zhongguo zhongyiyao xinxi zazhi,2015,22(1):5.[doi:10.3969/j.issn.1005-5304.2015.03.002]
[2]王维皓,张永欣,冯伟红,等.基于近红外光谱及组合间隔偏最小二乘法的天南星中水分及总黄酮含量测定研究[J].中国中医药信息杂志,2017,24(7):72.[doi:10.3969/j.issn.1005-5304.2017.07.017]
WANG Wei-hao,ZHANG Yong-xin,FENG Wei-hong,et al.Study on Content Determination of Moisture and Total Flavoniods of Arisaematis Rhizoma Based on Near Infrared Spectroscopy and Synergy Interval Partial Least Squares[J].zhongguo zhongyiyao xinxi zazhi,2017,24(1):72.[doi:10.3969/j.issn.1005-5304.2017.07.017]
[3]马天翔,顾志荣,马转霞,等.不同产地锁阳近红外光谱鉴别分析[J].中国中医药信息杂志,2020,27(4):66.[doi:10.3969/j.issn.1005-5304.201904122]
MA Tianxiang,GU Zhirong,MA Zhuanxia,et al.Identification Analysis of Cynomorii Herba from Different Producing Areas Based on Near Infrared Diffuse Reflectance Spectroscopy[J].zhongguo zhongyiyao xinxi zazhi,2020,27(1):66.[doi:10.3969/j.issn.1005-5304.201904122]
[4]侯嘉,郭鸿儒,王明伟,等.基于指标成分和近红外光谱的不同储存条件下党参质量比较研究[J].中国中医药信息杂志,2020,27(10):69.[doi:10.19879/j.cnki.1005-5304.202001327]
HOU Jia,GUO Hongru,WANG Mingwei,et al.Comparative Study on Quality of Codonipsis Radix under Different Storage Conditions Based on Index Components and Near Infrared Spectroscopy[J].zhongguo zhongyiyao xinxi zazhi,2020,27(1):69.[doi:10.19879/j.cnki.1005-5304.202001327]
备注/Memo
基金项目:江西省中医药管理局项目(2020J010);核技术应用教育部工程研究中心开放基金(HJSJYB2018-5)
更新日期/Last Update:
2020-12-18