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1.湖州市食品药品检验研究院,浙江 湖州 313000
2.遵义医科大学生命科学研究院,贵州 遵义 563000
3.暨南大学药学院中药及天然药物研究所,广州 510632
Published:15 October 2024,
Received:16 April 2024,
Revised:16 August 2024,
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邹惠亮,王新财,陈柯等.土茯苓中8个成分的含量测定及化学计量学分析 Δ[J].中国药房,2024,35(19):2378-2382.
ZOU Huiliang,WANG Xincai,CHEN Ke,et al.Content determination and chemometric analysis of 8 components in Smilax glabra[J].ZHONGGUO YAOFANG,2024,35(19):2378-2382.
邹惠亮,王新财,陈柯等.土茯苓中8个成分的含量测定及化学计量学分析 Δ[J].中国药房,2024,35(19):2378-2382. DOI: 10.6039/j.issn.1001-0408.2024.19.10.
ZOU Huiliang,WANG Xincai,CHEN Ke,et al.Content determination and chemometric analysis of 8 components in Smilax glabra[J].ZHONGGUO YAOFANG,2024,35(19):2378-2382. DOI: 10.6039/j.issn.1001-0408.2024.19.10.
目的
2
为土茯苓药材的质量控制提供依据。
方法
2
采用超高效液相色谱法同时测定不同产地20批(编号S1~S20)土茯苓中5-
O
-咖啡酰基莽草酸、新落新妇苷、落新妇苷、新异落新妇苷、异落新妇苷、黄杞苷、白藜芦醇、异黄杞苷的含量。采用化学计量学方法对20批土茯苓样品进行评价,并筛选影响土茯苓质量的差异标志物。
结果
2
所测8个成分在各自检测质量浓度范围内线性关系良好(
r
≥0.999 6);精密度、重复性和稳定性(24 h)试验的RSD均小于2.00%(
n
=6);平均加样回收率为97.60%~106.40%,RSD均小于2.00%(
n
=6)。聚类分析结果显示,浙江产(S1~S5)和江西产(S6~S10)样品聚为一类,湖南产(S11~S15)样品聚为一类,云南产(S16~S20)样品聚为一类;主成分分析结果显示,前2个主成分可反映土茯苓中8个成分85.60%的信息量;偏最小二乘-判别分析结果显示,5-
O
-咖啡酰基莽草酸、落新妇苷、异落新妇苷和新落新妇苷的变量重要性投影值均大于1。
结论
2
不同产地土茯苓中上述8个成分含量存在差异,5-
O
-咖啡酰基莽草酸、落新妇苷、异落新妇苷和新落新妇苷可能是影响土茯苓质量的差异标志物。
OBJECTIVE
2
To provide reference for
Smilax glabra
quality control.
METHODS
2
UPLC method was established to simultaneously determine the contents of 5-
O
-caffeoylshikimic acid, neoastilbin, astilbin, neoisoastilbin, isoastilbin, engelitin, resveratrol and isoengelitin in 20 batches of
S. glabra
from different areas (No. S1-S20). The quality evaluation of 20 batches of samples was performed by chemometrics; the differential biomarkers that affected the quality of
S. glabra
were screened.
RESULTS
2
The measured 8 components had good linear relationship within the range of measured concentration (
r
≥0.999 6). RSDs of precision, repeatability and stability tests (24 h) were all lower
than 2.00% (
n
=6). The average recoveries varied between 97.60% and 106.40% (RSDs were all lower than 2.00%,
n
=6). Cluster analysis showed that the samples produced in Zhejiang (S1-S5) and Jiangxi (S6-S10) were clustered into one category; the samples produced in Hunan (S11-S15) were clustered into one category; the samples produced in Yunnan (S16-S20) were clustered into one category. Principal component analysis showed that the first two principal components could represent 85.60% information of 8 components in
S. glabra
. Partial least squares-discriminant analysis showed that variable importance projection values of 5-
O
-caffeoylshikimic acid, astilbin, isoastilbin and neoastilbin were all greater than 1.
CONCLUSIONS
2
There are differences in the contents of the above 8 components in
S. glabra
from different origins; 5-
O
-caffeoylshikimic acid, astilbin, isoastilbin and neoastilbin may be differential markers affecting the quality of
S. glabra
.
土茯苓化学计量学含量测定超高效液相色谱法5-O-咖啡酰基莽草酸落新妇苷异落新妇苷新落新妇苷
chemometricscontent determinationUPLC5-O-caffeoylshikimic acidastilbinisoastilbinneoastilbin
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