Rank Annihilation Factor Analysis for Spectrophotometric Study of Morphine Based on AuNPs Aggregation Using Multivariate Curve Resolution

Alizadeh, Sakineh; Moghtader, Mehdi; Aliasgharlou, Nasrin

doi:10.1166/sl.2019.4057

Cited by 3 publications

(2 citation statements)

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“…The proposed method yields a new data matrix with a rank decreased by one unit through subtracting the signal from the analyte of interest from the sample data, because of the fact that for ordinary bilinear rank-one data, such as spectrophotometric or fluorescence data, the rank of the analyte of interest is one [ 27 ]. RAFA has been applied as a second-order calibration method for qualitative and quantitative analysis in different fields [ 28 , 29 , 30 , 31 ].…”

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confidence: 99%

Application of Rank Annihilation Factor Analysis for Antibacterial Drugs Determination by Means of pH Gradual Change-UV Spectral Data

et al. 2020

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The main objective of this study was to develop a simple and efficient spectrophotometric technique combined with chemometrics for the simultaneous determination of sulfamethoxazole (SMX) and trimethoprim (TMP) in drug formulations. Specifically, we sought: (i) to evaluate the potential use of rank annihilation factor analysis (RAFA) to pH gradual change spectrophotometric data in order to provide sufficient accuracy and model robustness; and (ii) to determine SMX and TMP concentration in drug formulations without tedious pre-treatments such as derivatization or extraction techniques which are time-consuming and require hazardous solvents. In the proposed method, the spectra of the sample solutions at different pH values were recorded and the pH-spectra bilinear data matrix was generated. On these data, RAFA was then applied to estimate the concentrations of SMX and TMP in synthetic and real samples. Applying RAFA showed that the two drugs could be determined simultaneously with concentration ratios of SMX to TMP varying from 1:30 to 30:1 in the mixed samples (concentration range is 1–30 µg mL−1 for both components). The limits of detection were 0.25 and 0.38 µg mL−1 for SMX and TMP, respectively. The proposed method was successfully applied to the simultaneous determination of SMX and TMP in some synthetic, pharmaceutical formulation and biological fluid samples. In addition, the means of the estimated RSD (%) were 1.71 and 2.18 for SMX and TMP, respectively, in synthetic mixtures. The accuracy of the proposed method was confirmed by spiked recovery test on biological samples with satisfactory results (90.50–109.80%).

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Section: Introductionmentioning

confidence: 99%

Application of Rank Annihilation Factor Analysis for Antibacterial Drugs Determination by Means of pH Gradual Change-UV Spectral Data

et al. 2020

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“…Nevertheless, quite a few such methods have been published up to now. They are either narrow linear range, [19,20] subject to interference from other compounds, or have a high limit of detection. [21][22][23][24] The kinetic spectrophotometric method offers an easy, less time consuming, sensitive analysis, by using simple and available reagents, which are able to be used for routine determinations of drug substances.…”

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Highly sensitive kinetic spectrophotometric method for tramadol trace level detection and process optimization using response surface methodology

Aghamiri

Safaei

Shishehbor

2020

J Chinese Chemical Soc

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Tramadol is a centrally acting analgesic‐anodyne agent of high oral bioavailability. The tramadol contains a weakly absorbing chromophore in its molecule and it was determined by kinetic spectrophotometric method in pharmaceutical, urine, and blood plasma. Response surface methodology and the central composite design was applied to study the influence of maximum sensitivity, reagents concentration, temperature, and time on the UV–Vis spectrophotometry analysis of tramadol. Analysis of variance showed a high coefficient of determination (R2) value for responses, confirming adjustment of the models with experimental data. The change in absorbance was followed spectrophotometrically at 478 nm. Under optimum experimental conditions, calibration curve was linear over the range 0.45–100.0 μg/L of tramadol. The limit of detection was 0.12 μg/L of tramadol. The developed method was successfully applied for the determination of tramadol in real samples.

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Modeling and Optimizing of Effective Factors on Kinetic Spectrophotometric Determination of Vitamin B12

et al. 2021

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Rank Annihilation Factor Analysis for Spectrophotometric Study of Morphine Based on AuNPs Aggregation Using Multivariate Curve Resolution

Cited by 3 publications

References 0 publications

Application of Rank Annihilation Factor Analysis for Antibacterial Drugs Determination by Means of pH Gradual Change-UV Spectral Data

Application of Rank Annihilation Factor Analysis for Antibacterial Drugs Determination by Means of pH Gradual Change-UV Spectral Data

Highly sensitive kinetic spectrophotometric method for tramadol trace level detection and process optimization using response surface methodology

Modeling and Optimizing of Effective Factors on Kinetic Spectrophotometric Determination of Vitamin B12

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