scholarly journals Development of an HPLC-DAD Method for the Quantification of Ten Compounds from Moringa oleifera Lam. and Its Application in Quality Control of Commercial Products

Molecules ◽  
2020 ◽  
Vol 25 (19) ◽  
pp. 4451
Author(s):  
Ramakwala Christinah Chokwe ◽  
Simiso Dube ◽  
Mathew Muzi Nindi
Keyword(s):  
Principal Component Analysis ◽  
Quality Control ◽  
Moringa Oleifera ◽  
Correlation Coefficients ◽  
Principal Component ◽  
Limit Of Quantification ◽  
Simultaneous Quantification ◽  
Pure Solvent ◽  
Relative Standard ◽  
Moringa Oleifera Lam

An HPLC-DAD separation method for the simultaneous quantification of ten compounds from Moringa oleifera plant was developed. The method was validated with pure solvent and different matrices of M. oleifera products. This method was found to be linear in the concentration range of 1 to 10 mg L−1 for all the compounds in the solvent and from 3 to 10 mg kg−1 in the different matrices. The correlation coefficients ranged between 0.9900 and 0.9999. Intra-day and inter-day variability showed that the developed method is both repeatable and precise with percent relative standard deviation values less than 10% and 20%, respectively. Limits of detection ranged between 0.06 and 0.8 mg L−1 for the solvent and 0.1–1.5 mg kg−1 for the matrices, while the limit of quantification ranged between 0.2 and 2.8 mg L−1 and 0.4–4.8 mg kg−1, respectively. The validated method was applied successfully to thirty-two different M. oleifera products, whereby all ten compounds were detected in one of the samples. Principal component analysis was used to assess the correlation and variance between the products. Variations were observed in products from different regions and from different manufacturers.

Correlating Variations in the Dynamic Resistance Signature to Weld Strength in Resistance Spot Welding Using Principal Component Analysis

2016 ◽  
Vol 139 (4) ◽  
Author(s):  
David W. Adams ◽  
Cameron D. E. Summerville ◽  
Brendan M. Voss ◽  
Jack Jeswiet ◽  
Matthew C. Doolan
Keyword(s):  
Principal Component Analysis ◽  
Quality Control ◽  
Spot Welding ◽  
Correlation Coefficients ◽  
Principal Component ◽  
Weld Strength ◽  
Dynamic Resistance ◽  
Resistance Spot ◽  
Resistance Spot Welds ◽  
Key Features

Traditional quality control of resistance spot welds by analysis of the dynamic resistance signature (DRS) relies on manual feature selection to reduce the dimensionality prior to analysis. Manually selected features of the DRS may contain information that is not directly correlated to strength, reducing the accuracy of any classification performed. In this paper, correlations between the DRS and weld strength are automatically detected by calculating correlation coefficients between weld strength and principal components of the DRS. The key features of the DRS that correlate to weld strength are identified in a systematic manner. Systematically identifying relevant features of the DRS is useful as the correlations between weld strength and DRS may vary with process parameters.

scholarly journals Stability-indicating HPLC-DAD assay for simultaneous quantification of hydrocortisone 21 acetate, dexamethasone, and fluocinolone acetonide in cosmetics

2020 ◽  
Vol 18 (1) ◽  
pp. 962-973
Author(s):  
Saira Arif ◽  
Sadia Ata
Keyword(s):  
Mobile Phase ◽  
Limit Of Detection ◽  
Fluocinolone Acetonide ◽  
Internal Diameter ◽  
Forced Degradation ◽  
Specific Method ◽  
Regression Equations ◽  
Limit Of Quantification ◽  
Simultaneous Quantification ◽  
Relative Standard

AbstractA rapid and specific method was developed for simultaneous quantification of hydrocortisone 21 acetate (HCA), dexamethasone (DEX), and fluocinolone acetonide (FCA) in whitening cream formulations using reversed-phase high-performance liquid chromatography. The effect of the composition of the mobile phase, analysis temperature, and detection wavelength was investigated to optimize the separation of studied components. The analytes were finally well separated using ACE Excel 2, C18 AR column having 150 mm length, 3 mm internal diameter, and 2 µm particle size at 35°C using methanol with 1% formic acid and double-distilled deionized water in the ratio of 60:40 (v/v), respectively, as the mobile phase in isocratic mode. Ten microliters of sample were injected with a flow rate of 0.5 mL/min. The specificity, linearity, accuracy, precision, recovery, limit of detection (LOD), limit of quantification (LOQ), and robustness were determined to validate the method as per International Conference on Harmonization guidelines. All the analytes were simultaneously separated within 8 min, and observed retention times of HCA, DEX, and FCA were 4.5, 5.5, and 6.9 min, respectively. The proposed method showed good linearity with the correlation coefficient, R2 = 0.999 over the range of 1–150 µg/mL for all standards. The linear regression equations were y = 12.7x + 118.7 (r = 0.999) for HCA, y = 12.9x + 106.8 (r = 0.999) for DEX, and y = 12.9x + 96.8 (r = 0.999) for FCA. The LOD was 0.25, 0.20, and 0.08 µg/mL for HCA, FCA, and DEX and LOQ was 2.06, 1.83, and 1.55 µg/mL for HCA, FCA, and DEX, respectively. The recovery values of HCA, DEX, and FCA ranged from 100.7–101.3, 102.0–102.6, and 100.2–102.0%, respectively, and the relative standard deviation for precision (intra- and interday) was less than 2, which indicated repeatability and reproducibility. The novelty of the method was described by forced degradation experimentation of all analytes in the combined form under acidic, basic, oxidative, and thermal stress. The proposed method was found to be simple, rapid, and reliable for the simultaneous determination of HCA, DEX, and FCA in cosmetics.

scholarly journals Principal component analysis for evaluating a ranking method used in the performance testing in sheep of Morada Nova breed

2015 ◽  
Vol 36 (6) ◽  
pp. 3909
Author(s):  
Michelle Santos da Silva ◽  
Luciana Shiotsuki ◽  
Raimundo Nonato Braga Lôbo ◽  
Olivardo Facó
Keyword(s):  
Principal Component Analysis ◽  
Principal Components ◽  
Correlation Coefficients ◽  
Performance Testing ◽  
Principal Component ◽  
Component Analysis ◽  
Ranking Method ◽  
Daily Weight Gain ◽  
Meat Production ◽  
Body Depth

A multivariate approach was adopted to evaluate the relationship among traits measured in the performance testing of Morada Nova sheep, verify the efficiency of a ranking method used in these tests and identify the most significant traits for use in future analyses. Data from 150 young rams participating in five versions of the performance tests for the Morada Nova breed were used. Twenty traits were measured in each animal: initial weight (IW), final weight (FW), average daily weight gain (ADG), loin eye area (LEA), scrotal circumference (SC), fat thickness (FT), conformation (C), precocity (Pc), muscularity (M), breed features (BF), legs (L), withers height (WH), chest width (CW), rump height (RH), rump width (RW), rump length (RL), body length (BL), body depth (BD), heart girth (HG) and body condition scoring (BCS). The Pearson’s correlation coefficients ranged from –0.10 to 0.93, with the highest correlations were between body weight variables and morphometric measurements. The three first principal components explained 72.28% of the total variability among all traits. The variables related to animal size defined the first principal component, whereas those related to visual appraisal and suitability for meat production defined the second and third principal components, respectively. The combination of traits from the principal component analysis showed that the ranking method currently used in the performance testing of Morada Nova sheep is efficient for selecting larger rams with better breed features and higher degrees of specialization for meat production.

scholarly journals Spectrophotometric determination of Phenylephrine hydrochloride and Salbutamol sulphate drugs in pharmaceutical preparations using diazotized Metoclopramide hydrochloride

2015 ◽  
Vol 12 (1) ◽  
pp. 167-177 ◽  
Author(s):  
Baghdad Science Journal
Keyword(s):  
Limit Of Detection ◽  
Pharmaceutical Preparations ◽  
Correlation Coefficients ◽  
Limit Of Quantification ◽  
Pharmaceutical Dosage Forms ◽  
Salbutamol Sulphate ◽  
Phenylephrine Hydrochloride ◽  
Relative Standard ◽  
Metoclopramide Hydrochloride

A spectrophotometric method has been proposed for the determination of two drugs containing phenol group [phenylephrine hydrochloride (PHP) and salbutamol sulphate (SLB)] in pharmaceutical dosage forms. The method is based on the diazotization reaction of metoclopramide hydrochloride (MCP) and coupling of the diazotized reagent with drugs in alkaline medium to give intense orange colored product (?max at 470 nm for each of PHP and SLB). Variable parameters such as temperature, reaction time and concentration of the reactants have been analyzed and optimized. Under the proposed optimum condition, Beer’s law was obeyed in the concentration range of 1-32 and 1-14 ?g mL-1 for PHP and SLB, respectively. The limit of detection (LOD) and limit of quantification (LOQ) for each of PHP and SLB were 0.60, 0.52 ?g mL-1 and 2.02, 1.72 ?g mL-1, respectively. No interference was observed from common excipients present in pharmaceutical preparations. The good correlation coefficients and low relative standard deviation assert the applicability of this method. The suggested method was further applied for the determinations of drugs in commercial pharmaceutical preparations, which was compared statistically with reference methods by means of t- test and F- test and were found not to differ significantly at 95% confidence level. The procedure was characterized by its simplicity with accuracy and precision.

scholarly journals Development and Validation of a Simple Method for Routine Analysis of Ractopamine Hydrochloride in Raw Material and Feed Additives by HPLC

2009 ◽  
Vol 92 (3) ◽  
pp. 757-764 ◽  
Author(s):  
Ellen Figueiredo Freire ◽  
Keyller Bastos Borges ◽  
Hélio Tanimoto ◽  
Raquel Tassara Nogueira ◽  
Lucimara Cristiane Toso Bertolini ◽  
...  
Keyword(s):  
Quality Control ◽  
Limit Of Detection ◽  
Feed Additives ◽  
Raw Material ◽  
Control Analysis ◽  
Limit Of Quantification ◽  
Simple Method ◽  
Relative Standard ◽  
Validation Parameters ◽  
Ractopamine Hydrochloride

Abstract A simple method was optimized and validated for determination of ractopamine hydrochloride (RAC) in raw material and feed additives by HPLC for use in quality control in veterinary industries. The best-optimized conditions were a C8 column (250 4.6 mm id, 5.0 m particle size) at room temperature with acetonitrile100 mM sodium acetate buffer (pH 5.0; 75 + 25, v/v) mobile phase at a flow rate of 1.0 mL/min and UV detection at 275 nm. With these conditions, the retention time of RAC was around 5.2 min, and standard curves were linear in the concentration range of 160240 g/mL (correlation coefficient 0.999). Validation parameters, such as selectivity, linearity, limit of detection (ranged from 1.60 to 2.05 g/mL), limit of quantification (ranged from 4.26 to 6.84 g/mL), precision (relative standard deviation 1.87), accuracy (ranged from 96.97 to 100.54), and robustness, gave results within acceptable ranges. Therefore, the developed method can be successfully applied for the routine quality control analysis of raw material and feed additives.

scholarly journals Simultaneous quantification of multiple endogenous biothiols in single living cells by plasmonic Raman probes

2017 ◽  
Vol 8 (11) ◽  
pp. 7582-7587 ◽  
Author(s):  
Shan-Shan Li ◽  
Qi-Yuan Guan ◽  
Mengmeng Zheng ◽  
Yu-Qi Wang ◽  
Deju Ye ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Single Cells ◽  
Principal Component ◽  
Component Analysis ◽  
Living Cells ◽  
Simultaneous Quantification ◽  
Single Living Cells ◽  
Single Living

Three endogenous biothiols in single cells were simultaneously quantified by plasmonic Raman probes and quantitative principal component analysis (qPCA).

GENETIC VARIATION OF FABABEAN GERMPLASM

2016 ◽  
Vol 3 (4) ◽  
Author(s):  
RASHMI YADAV ◽  
ANIL KUMAR SINGH ◽  
K. K. GANGOPADHYAYA ◽  
ASHISH KUMAR SINGH ◽  
ASHOK KUMAR ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Genetic Variation ◽  
Seed Yield ◽  
Faba Bean ◽  
Seed Weight ◽  
Correlation Coefficients ◽  
Principal Component ◽  
Quality Parameters ◽  
Vicia Faba L ◽  
Number Of Branches

Variability in 66 accessions of faba bean (Vicia faba L.) was assessed for different agro-morphological and quality parameters. Variability parameters, correlation coefficients, clustering and PCA were performed for yield and its contributing parameters. A very good variability was found in number of branches per plant ranged from 5.4 to 14.4, number of nods per main branch from 10.22 to 26.31, no. of pods in main branch varies from 8.61 to 19.65, 1000-seed weight from 271.69 to 390.31and seed yield per plant varied from 31.32 to 100.3.The protein content (%) of the genotypes varies widely from 26.31 to 31.52.Positive and significant correlation coefficients were also obtained between grain yield and 1000-seed weight (r = 0.33**) and number of pods in main branch (r = 0.01*). Principal Component Analysis shows that PC5 explained 62.8% of the total variance and was most closely associated with number of pods per cluster.

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