Tanshinone IIA Rapid Analysis of Jingutongxiao Pills by Near-Infrared Spectroscopy

2013 ◽  
Vol 807-809 ◽  
pp. 2075-2078
Author(s):  
Jing Wei Lei ◽  
Hai Yan Gong ◽  
Lei Li ◽  
Cai Xia Xie ◽  
Xiao Yan Duan ◽  
...  

Traditional Chinese medicine(TCM) preparation has a long history in China,and now it is an important direction at the development of hospital preparations, because lacking of quality control technology, quality of the different production batch is not quite stable in the process of production. Therefore, to establish perfect, accurate, rapid quality evaluation method is the key to realize modernization of the traditional Chinese medicine preparation[1,2]. The paper establishes the quantitative analysis model for Tanshinone IIA in Jingutongxiao Pills by near-infrared spectral technology. Through the discussion of spectral wavelength, spectral pretreatment and principal component count, it was found that the second derivative combined with partial least squares (PLS) establishes a best quantitative calibration model. The correlation coefficient of calibration (R2)was 0.975 37, the Root Mean Square Error of Cross Validation (RMSECV) is 0.001 17 and the external prediction deviation (RMSEP) is 0.00174. It indicated that the near-infrared spectral technology could be used for rapid, accurate, nondestructive determination of Tanshinone IIA in Jingutongxiao Pills[3,4].

2019 ◽  
Vol 40 (1) ◽  
pp. 115-121
Author(s):  
曾云龙 ZENG Yun-long ◽  
赵 敏 ZHAO Min ◽  
张 敏 ZHANG Min ◽  
易守军 YI Shou-jun ◽  
唐春然 TANG Chun-ran ◽  
...  

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Jiaming Wu ◽  
Yun Liu ◽  
Cantu Fang ◽  
Lixian Zhao ◽  
Lizhu Lin ◽  
...  

Background. Whether traditional Chinese medicine preparation combined therapy can improve the efficacy of chemotherapy is controversial. This meta-analysis evaluates the efficacy of traditional Chinese medicine preparation combined with chemotherapy. Method. Three databases were searched from inception through August 2018. Eligible randomized controlled trials (RCTs) involving the combined treatment of chemotherapy and traditional Chinese medicine preparation compared to chemotherapy alone for treating cancer were retrieved. The methodological quality of the included RCTs was assessed with Cochrane Collaboration’s risk of bias assessment tool. Meta-analysis was adopted to make comprehensive comparisons between the experimental and control groups. Results. Four RCTs were included in this review, comprising 256 subjects. The majority of the RCTs were judged as being of poor methodological quality. Meta-analysis showed that the combination of traditional Chinese medicine preparation and chemotherapy appeared to be more effective than chemotherapy alone, for the treatment of cancer, as assessed by the disease control rate (RR: 1.41, 95% CI: 1.11 to 1.79) and the objective response rate (RR: 2.71, 95% CI: 1.28 to 5.77). There were no statistically significant differences between the groups in terms of bone marrow suppression (RR: 0.88, 95% CI: 0.57 to 1.37) or gastrointestinal reaction (RR: 1.12, 95% CI 0.75 to 1.69). Conclusions. Traditional Chinese medicine preparation combined with chemotherapy may improve objective response rates and disease control rates more than chemotherapy alone. The evidence that combined traditional Chinese medicine preparation can reduce the side effects of chemotherapy is insufficient. More rigorous randomized controlled trials are needed to confirm these conclusions.


2019 ◽  
Vol 27 (5) ◽  
pp. 379-390
Author(s):  
Mazlina Mohd Said ◽  
Simon Gibbons ◽  
Anthony Moffat ◽  
Mire Zloh

This research was initiated as part of the fight against public health problems of rising counterfeit, substandard and poor quality medicines and herbal products. An effective screening strategy using a two-step combination approach of an incremental near infrared spectral database (step 1) followed by principal component analysis (step 2) was developed to overcome the limitations of current procedures for the identification of medicines by near infrared spectroscopy which rely on the direct comparison of the unknown spectra to spectra of reference samples or products. The near infrared spectral database consisted of almost 4000 spectra from different types of medicines acquired and stored in the database throughout the study. The spectra of the test samples (pharmaceutical and herbal formulations) were initially compared to the reference spectra of common medicines from the database using a correlation algorithm. Complementary similarity assessment of the spectra was conducted based on the observation of the principal component analysis score plot. The validation of the approach was achieved by the analysis of known counterfeit Viagra samples, as the spectra did not fully match with the spectra of samples from reliable sources and did not cluster together in the principal component analysis score plot. Pre-screening analysis of an herbal formulation (Pronoton) showed similarity with a product containing sildenafil citrate in the database. This finding supported by principal component analysis has indicated that the product was adulterated. The identification of a sildenafil analogue, hydroxythiohomosildenafil, was achieved by mass spectrometry and Nuclear Magnetic Resonance (NMR) analyses. This approach proved to be a suitable technique for quick, simple and cost-effective pre-screening of products for guiding the analysis of pharmaceutical and herbal formulations in the quest for the identification of potential adulterants.


NIR news ◽  
2020 ◽  
Vol 31 (7-8) ◽  
pp. 9-13
Author(s):  
Robert Zimmerleiter ◽  
Elisabeth Leiss-Holzinger ◽  
Eva Maria Wagner ◽  
Kathrin Kober-Rychli ◽  
Martin Wagner ◽  
...  

In this article, we demonstrate a promising inline near-infrared measurement scheme for 24/7 biofilm monitoring based on cost-effective microelectromechanical system-based spectrometer technology. The shown near-infrared spectral data, acquired at a beer-canning line during a representative time span of 10 days, are analyzed by means of principal component analysis and the performance of the monitoring system and its capability to identify biofilms on its sensor surface are investigated by comparing spectral response with results of offline polymerase chain reaction measurements of smear samples. Correlations between presence of a biofilm and its thickness with scores on PC1 and PC2, respectively, were observed.


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