scholarly journals Simultaneous Determination of Thirteen Q-Markers in Raw and Processed Tussilago farfara L. by UPLC-QQQ-MS/MS Coupled with Chemometrics

Molecules ◽  
2019 ◽  
Vol 24 (3) ◽  
pp. 598 ◽  
Author(s):  
Liu Yang ◽  
Hai Jiang ◽  
Ajiao Hou ◽  
Xinyue Guo ◽  
Wenjing Man ◽  
...  

The purpose of this study was to establish a rapid, reliable, and sensitive ultra-performance liquid chromatography with triple-quadrupole tandem mass spectrometry coupled with chemometric method to measure and evaluate the differences between thirteen compounds in raw and processed Tussilago farfara L. from different sources. This assay method was validated, and the results indicated that the calibration curves for the thirteen compounds had good linearity (R2 > 0.9990). The limits of detection and limits of quantification of the thirteen compounds ranged from 0.0012 to 0.0095 μg/mL and from 0.0038 to 0.0316 μg/mL, respectively. The relative standard deviations (RSD) of the intra- and inter-day precisions and stability ranged from 1.06 to 2.00%, 0.26 to 1.99%, and 0.75 to 1.97%, respectively. The sample recovery rates of the thirteen compounds with different concentrations were 94.47–104.06%. The chemometric results, including principal component analysis, hierarchical clustering analysis, three-dimensional analysis, and box plot analysis, indicated that there are significance differences in raw and processed Tussilago farfara L. The results of this study confirm that the proposed method is the first reported method that has been successfully applied for simultaneous determination and discovery of the difference between thirteen compounds of raw and processed Tussilago farfara L. Thus, this method could be a helpful tool for the detection and confirmation of the quality of traditional Chinese medicines and provide a basis for future pharmacological studies.

2020 ◽  
Vol 32 (2) ◽  
pp. 145-148 ◽  
Author(s):  
Siyuan Chen ◽  
Jianshe Ma ◽  
Xianqin Wang ◽  
Peiwu Geng

Hair is a stable specimen and has a longer detection window (from weeks to months) than blood and urine. Through the analysis of hair, the long-term information of the drug use of the identified person could be explored. Our work is to establish an ultra-performance liquid chromatography–tandem mass spectroscopy (UPLC–MS/MS) method for simultaneous determination of methamphetamine, amphetamine, morphine, monoacetylmorphine, ketamine, norketamine, 3,4-methylenedioxymethamphetamine (MDMA), and 3,4-methylenedioxyamphetamine (MDA) in hair. Methoxyphenamine was used as an internal standard. The chromatographic separation was performed on a UPLC ethylene bridged hybrid (BEH) C18 (2.1 mm × 50 mm, 1.7 μm) column using a mobile phase of acetonitrile–water with 10 mmol/L ammonium acetate solution which containing 0.05% ammonium hydroxide. The multiple reaction monitoring in positive electrospray ionization was used for quantitative determination. The intra-day and inter-day precisions (relative standard deviation [RSD]) were below 15%. The accuracy ranged between 85.5% and 110.4%, the average recovery rate was above 72.9%, and the matrix effect ranged between 92.7% and 109.2%. Standard curves were in the range of 0.05–5.0 ng/mg, and the correlation coefficients were greater than 0.995. The established UPLC–MS/MS method was applied to analyze the hair samples successfully.


2019 ◽  
Vol 15 (5) ◽  
pp. 542-553
Author(s):  
Hui Zhao ◽  
Hao Cai ◽  
Juan-Xiu Liu ◽  
Sheng-Nan Wang ◽  
Xun-Hong Liu ◽  
...  

Background: Xanthium sibiricum is a well-known traditional Chinese medicine (TCM) that has been commonly used to treat rhinitis and related nasal diseases. The aim of this study was to develop a comprehensive analytical method based on high-performance liquid chromatographyelectrospray ionization coupled with triple quadrupole-linear ion trap mass spectrometry (LC-ESIQTRAP- MS/MS) for the simultaneous determination of phenolic acids, anthraquinones, and flavonoids in the aerial part and fruit of Xanthium sibiricum. Methods: The separation was completed on Agilent ZORBAX SB-C18 column (250 × 4.6 mm, 5μm) using methanol and 0.2% (v/v) aqueous formic acid as the mobile phase. The target components were analyzed in negative ion mode with accurate and sensitive multiple reaction monitoring (MRM) mode. Results: The correlation coefficients of all the calibration curves were higher than 0.9994. Relative standard deviations of intra- and inter-day precisions of the eighteen components were all lower than 2.87% and the recoveries were in the range from 97.73% to 101.82%. The validated method was successfully applied to possess forty Xanthium sibiricum samples (Xanthii Herba, Xanthii Fructus, and processed Xanthii Fructus) collected from different places in P. R. China. Furthermore, principal component analysis (PCA) was performed to evaluate and classify the samples according to the contents of the eighteen bioactive components. Conclusion: All the results demonstrated that the developed method was useful and could be applied for the overall assessment of the quality of Xanthii Herba and Xanthii Fructus.


PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9083
Author(s):  
Yuan Chen ◽  
Yanyun Hong ◽  
Daofu Yang ◽  
Zhigang He ◽  
Xiaozi Lin ◽  
...  

Background As the major bioactive compounds in citrus and grape, it is significant to use the contents of flavonoids and phenolic acids as quality evaluation criteria to provide a better view of classifying the quality and understanding the potential health benefits of each fruit variety. Methods A total of 15 varieties of citrus and 12 varieties of grapes were collected from Fujian, China. High-performance liquid chromatography method was used for the simultaneous determination of 17 phenolic compounds, including gallic acid, chlorogenic acid, caffeic acid, syringic acid, ρ-coumaric acid, ferulic acid, benzoic acid, salicylic acid, catechin, epicatechin, resveratrol, rutin, naringin, hesperidin, quercetin, nobiletin and tangeritin in the peels of citrus and grape cultivars. Further, the cultivars of citrus and grape were classified using principal component analysis (PCA) and hierarchical cluster analysis (HCA). Results A thorough separation of the 17 compounds was achieved within 100 min. The tested method exhibited good linearity (the limits of detection and limits of quantification were in the range of 0.03–1.83 µg/mL and 0.09–5.55 µg/mL, respectively), precision (the relative standard deviations of repeatability were 1.02–1.97%), and recovery (92.2–102.82%) for all the compounds, which could be used for the simultaneous determination of phenolic compounds in citrus and grape. Hesperidin (12.93–26,160.98 µg/g DW) and salicylic acid (5.35–751.02 µg/g DW) were the main flavonoids and phenolic acids in 15 citrus varieties, respectively. Besides, the hesperidin (ND to 605.48 µg/g DW) and salicylic acid (ND to 1,461.79 µg/g DW) were found as the highest flavonoid and the most abundant phenolic acid in grapes, respectively. A total of 15 citrus and 12 grape samples were classified into two main groups by PCA and HCA with strong consistency.


Author(s):  
Mohammad Karimi Moridani ◽  
Ahad Karimi Moridani ◽  
Mahin Gholipour

<p><span>Face Detection plays a crucial role in identifying individuals and criminals in Security, surveillance, and footwork control systems. Face Recognition in the human is superb, and pictures can be easily identified even after years of separation. These abilities also apply to changes in a facial expression such as age, glasses, beard, or little change in the face. This method is based on 150 three-dimensional images using the Bosphorus database of a high range laser scanner in a Bogaziçi University in Turkey. This paper presents powerful processing for face recognition based on a combination of the salient information and features of the face, such as eyes and nose, for the detection of three-dimensional figures identified through analysis of surface curvature. The Trinity of the nose and two eyes were selected for applying principal component analysis algorithm and support vector machine to revealing and classification the difference between face and non-face. The results with different facial expressions and extracted from different angles have indicated the efficiency of our powerful processing.</span></p>


2014 ◽  
Vol 9 (1) ◽  
pp. 1934578X1400900
Author(s):  
Jung-Hoon Kim ◽  
Hyeun-Kyoo Shin ◽  
Chang-Seob Seo

This study was designed for simultaneous determination of 13 chemical marker compounds, namely, protocatechuic acid, chlorogenic acid, caffeic acid, liquiritin, hesperidin, apigetrin, rosmarinic acid, oxypeucedanin hydrate, byakangelicin, apigenin, glycyrrhizin, nobiletin, and 6-gingerol in Gwakhyangjeonggi-san (GJS: Huoxiang-zhengqi-san in Chinese). A quantitative analytical method was developed based on HPLC-PDA with validation in terms of precision, accuracy, and repeatability, and successfully employed for quality evaluation of GJS samples with the help of chemometric techniques such as principal component analysis (PCA) and hierarchical clustering analysis (HCA). The correlation coefficient for the linear regression was > 0.9994. The intra-day and inter-day precision was < 3.0% of the relative standard deviation (RSD) value, and the recovery was in the range 92.5–107.0%, with RSD values < 4.0%, and the repeatability was < 3.0% of RSD. Variations in the quantity were observed in GJS products from different origins, which were classified by PCA and HCA. The quantitative and chemometric analyses indicate the necessity for consistency in GJS production for the purpose of quality control.


2021 ◽  
Vol 12 (4) ◽  
pp. 368-376
Author(s):  
Mahmoud Mohamed Abbas ◽  
Amira Mabrouk El-Kosasy ◽  
Lobna Abd El-Aziz Hussein ◽  
Nancy Magdy Hanna

Simple, accurate, and eco-friendly spectrophotometric procedures were proposed and implemented for simultaneous determination of anticoccidial drugs from three different classes namely, amprolium hydrochloride (AMP), sulfaquinoxaline sodium (SQX) and diaveridine hydrochloride (DVD). Dual wavelength in ratio spectra procedure was proposed where the difference in amplitudes (ΔP) in the ratio spectra at 264 nm and 301.9 nm (ΔP264&301.9 nm) corresponded to AMP with mean percentage recovery 100.00±0.923%, while (ΔP250.9&279 nm) and (ΔP218&243.5 nm) corresponded to SQX and DVD with mean percentage recoveries 99.31±1.083 and 100.64±1.219%, respectively. The dual wavelength in ratio spectra procedure was validated according to the ICH guidelines and accuracy, precision and repeatability were found to be within the acceptable limit. Multivariate chemometric approaches, namely, partial least-squares (PLS-2) and principal component regression (PCR) were also proposed with mean percentage recoveries 99.31±0.769, 98.91±1.192 and 99.04±1.245% for AMP, SQX and DVD, respectively, in PLS-2 and 99.63±1.005, 99.11±1.272 and 98.93±1.338% for AMP, SQX and DVD, respectively, in PCR. These procedures were successfully applied to the multi-ingredient veterinary formulation with mean percentage recoveries 100.75±1.238, 99.29±0.875 and 99.34±0.745% for AMP, SQX and DVD, respectively, in dual wavelength in ratio spectra procedure and 101.03±1.261, 101.48±0.984 and 101.10±1.339% for AMP, SQX and DVD, respectively, in PLS-2 and 100.22±1.204, 101.10±0.546 and 100.91±0.677% for AMP, SQX and DVD, respectively, in PCR.


Author(s):  
Kenneth H. Downing

Three-dimensional structures of a number of samples have been determined by electron crystallography. The procedures used in this work include recording images of fairly large areas of a specimen at high tilt angles. There is then a large defocus ramp across the image, and parts of the image are far out of focus. In the regions where the defocus is large, the contrast transfer function (CTF) varies rapidly across the image, especially at high resolution. Not only is the CTF then difficult to determine with sufficient accuracy to correct properly, but the image contrast is reduced by envelope functions which tend toward a low value at high defocus.We have combined computer control of the electron microscope with spot-scan imaging in order to eliminate most of the defocus ramp and its effects in the images of tilted specimens. In recording the spot-scan image, the beam is scanned along rows that are parallel to the tilt axis, so that along each row of spots the focus is constant. Between scan rows, the objective lens current is changed to correct for the difference in specimen height from one scan to the next.


2019 ◽  
Vol 63 (5) ◽  
pp. 50402-1-50402-9 ◽  
Author(s):  
Ing-Jr Ding ◽  
Chong-Min Ruan

Abstract The acoustic-based automatic speech recognition (ASR) technique has been a matured technique and widely seen to be used in numerous applications. However, acoustic-based ASR will not maintain a standard performance for the disabled group with an abnormal face, that is atypical eye or mouth geometrical characteristics. For governing this problem, this article develops a three-dimensional (3D) sensor lip image based pronunciation recognition system where the 3D sensor is efficiently used to acquire the action variations of the lip shapes of the pronunciation action from a speaker. In this work, two different types of 3D lip features for pronunciation recognition are presented, 3D-(x, y, z) coordinate lip feature and 3D geometry lip feature parameters. For the 3D-(x, y, z) coordinate lip feature design, 18 location points, each of which has 3D-sized coordinates, around the outer and inner lips are properly defined. In the design of 3D geometry lip features, eight types of features considering the geometrical space characteristics of the inner lip are developed. In addition, feature fusion to combine both 3D-(x, y, z) coordinate and 3D geometry lip features is further considered. The presented 3D sensor lip image based feature evaluated the performance and effectiveness using the principal component analysis based classification calculation approach. Experimental results on pronunciation recognition of two different datasets, Mandarin syllables and Mandarin phrases, demonstrate the competitive performance of the presented 3D sensor lip image based pronunciation recognition system.


Sign in / Sign up

Export Citation Format

Share Document