دورية أكاديمية
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Rapid Determination of Puerarin by Near-infrared Spectroscopy During Percolation and Concentration Process of Puerariae Lobatae Radix.

التفاصيل البيبلوغرافية
العنوان: Rapid Determination of Puerarin by Near-infrared Spectroscopy During Percolation and Concentration Process of Puerariae Lobatae Radix.
المؤلفون: Jintao X; Department of TCM, School of Pharmacy, Xinxiang Medical University, Xinxiang, PR China., Quanwei Y; Department of pharmacy, Wu Han NO.1 Hospital, Wuhan, Hubei Province, PR China., Yun J; Department of TCM, School of Pharmacy, Xinxiang Medical University, Xinxiang, PR China., Yufei L; Department of TCM, School of Pharmacy, Xinxiang Medical University, Xinxiang, PR China., Chunyan L; Department of TCM, School of Pharmacy, Xinxiang Medical University, Xinxiang, PR China; Department of pharmacy, Sanquan Medical College, Xinxiang, PR China., Jing Y; Department of pharmacy, Puyang Health School, Puyang, Henan Province, PR China., Yanfang W; Department of TCM, School of Pharmacy, Xinxiang Medical University, Xinxiang, PR China., Peng L; Department of TCM, School of Pharmacy, Xinxiang Medical University, Xinxiang, PR China., Guangrui W; Department of TCM, School of Pharmacy, Xinxiang Medical University, Xinxiang, PR China.
المصدر: Pharmacognosy magazine [Pharmacogn Mag] 2016 Jul-Sep; Vol. 12 (47), pp. 188-92.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: SAGE Publications Country of Publication: India NLM ID: 101300403 Publication Model: Print Cited Medium: Print ISSN: 0973-1296 (Print) Linking ISSN: 09731296 NLM ISO Abbreviation: Pharmacogn Mag Subsets: PubMed not MEDLINE
أسماء مطبوعة: Publication: 2023- : [Thousand Oaks] : SAGE Publications
Original Publication: 2005-<2009> : Bangalore : Phcog.Net, Al-Ameen College of Pharmacy
مستخلص: Background: Gegen (Puerariae Labatae Radix) is one of the important medicines in Traditional Chinese Medicine. The studies showed that Gegen and its preparation had effective actions for atherosclerosis.
Objective: Near-infrared (NIR) was used to develop a method for rapid determination of puerarin during percolation and concentration process of Gegen.
Materials and Methods: About ten batches of samples were collected with high-performance liquid chromatography analysis values as reference, calibration models are generated by partial least-squares (PLS) regression as linear regression, and artificial neural networks (ANN) as nonlinear regression.
Results: The root mean square error of prediction for the PLS and ANN model was 0.0396 and 0.0365 and correlation coefficients (r (2)) was 97.79% and 98.47%, respectively.
Conclusions: The NIR model for the rapid analysis of puerarin can be used for on-line quality control in the percolation and concentration process.
Summary: Near-infrared was used to develop a method for on-line quality control in the percolation and concentration process of GegenCalibration models are generated by partial least-squares (PLS) regression as linear regression and artificial neural networks (ANN) as non-linear regressionThe root mean square error of prediction for the PLS and ANN model was 0.0396 and 0.0365 and correlation coefficients (r (2)) was 97.79% and 98.47%, respectively. Abbreviations used: NIR: Near-Infrared Spectroscopy; Gegen: Puerariae Loabatae Radix; TCM: Traditional Chinese Medicine; PLS: Partial least-squares; ANN: Artificial neural networks; RMSEP: Root mean square error of validation; R2: Correlation coefficients; PAT: Process analytical technology; FDA: The Food and Drug Administration; Rcal: Calibration set; RMSECV: Root mean square errors of cross-validation; RPD: Residual predictive deviation; SLS: Straight Line Subtraction; MLP: Multi-Layer Perceptron; MSE: Mean square error.
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فهرسة مساهمة: Keywords: Artificial neural networks; Gegen (Puerariae Lobatae Radix); near-infrared spectroscopy; partial least-squares
تواريخ الأحداث: Date Created: 20160908 Date Completed: 20160907 Latest Revision: 20200929
رمز التحديث: 20221213
مُعرف محوري في PubMed: PMC4989793
DOI: 10.4103/0973-1296.186350
PMID: 27601848
قاعدة البيانات: MEDLINE
الوصف
تدمد:0973-1296
DOI:10.4103/0973-1296.186350