Determination of terazosin in the presence of prazosin: Different state-of-the-art machine learning algorithms with UV spectroscopy

Counterfeit drugs have adverse effects on public health; chromatographic methods can be used but they are costly. In this study, we developed cost-effective and environmentally friendly methodology for the analysis of terazosin HCl (TZ) in the presence prazosin hydrochloride (PZ) using UV spectroscopy in conjunction with machine learning (ML) models. Variable selection algorithms were applied to select most informative spectral variables. Thirty-five ML models were assessed and their performances were compared. The models covered a wide range of prediction mechanisms, such as tree-based, linear, self-organizing maps, neural network, Gaussian process, boosting, bagging, Bayesian models, kernel methods, and quantile regression. The values of the root mean square error (RMSE), coefficient of determination (R²), and absolute mean error (MAE) were obtained for the evaluation of the developed models. According to the results of these performance indices, linear model showed the highest prediction capacity among all other models. RMSE, R² and MAE values of (0.159, 0.997 and 0.131) and (0.196, 0.99 and 0.161) were obtained for train and test datasets, respectively. The predictive models in this study can be useful for the researchers who are interested to work on the determination of active ingredients in pharmaceutical dosage forms in the presence of interference using UV spectroscopy; therefore, it was used to determine TZ without interference of PZ.

UV-vis sensor array combining with chemometric methods for quantitative analysis of binary dipeptide mixture (Gly-Gly/Ala-Gln)

Many endogenous peptides are circulating in bodily fluids at micromole level, and accurate analysis of endogenous peptides at such low level is important. In this study, we presented an extensible, facile and sensitive sensor array based on UV-Vis spectroscopy of the AuNPs combined with chemometric methods for quantitative analysis of binary peptide mixture (Gly-Gly/Ala-Gln) using UV-Vis spectroscopy. High concentration arginine (Arg) and Cr³⁺ can induce aggregation of the AuNPs and DNA-AuNPs. However, the glycylglycine (Gly-Gly) and alanyl-glutamine (Ala-Gln) can prevent the AuNPs from aggregation. We investigated the prevention of AuNPs aggregation by using Gly-Gly and Ala-Gln mixtures and constructed sensor arrays for quantitative analyses of Gly-Gly and Ala-Gln mixtures. The color change of the solution is relevant to the dose of the target, and it can be visualized by the naked eyes or monitored by UV-Vis spectrometry. Results showed that the concentrations of Arg and Cr³⁺ are the key factors affecting the sensitivity of the sensor array. Whereas when Gly-Gly and Ala-Gln have to be analyzed simultaneously, concentrations of Arg and Cr³⁺ both for Gly-Gly and Ala-Gln are difficult to be optimized. Taking the advantages of multivariate analysis and data fusion, PLS models and backward interval PLS (BiPLS) models were built for fused dataset constructed by UV-Vis data obtained at different concentrations of Arg and Cr³⁺. The best results were obtained from the PLS models. The proposed method can be extended to analysis of other peptides in more complex mixture systems.

Tea types classification with data fusion of UV-Vis, synchronous fluorescence and NIR spectroscopies and chemometric analysis

The potential of selected spectroscopic methods - UV-Vis, synchronous fluorescence and NIR as well a data fusion of the measurements by these methods - for the classification of tea samples with respect to the production process was examined. Four classification methods - Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA), Regularized Discriminant Analysis (RDA) and Support Vector Machine (SVM) - were used to analyze spectroscopic data. PCA analysis was applied prior to classification methods to reduce multidimensionality of the data. Classification error rates were used to evaluate the performance of these methods in the classification of tea samples. The results indicate that black, green, white, yellow, dark, and oolong teas, which are produced by different methods, are characterized by different UV-Vis, fluorescence, and NIR spectra. The lowest error rates in the calibration and validation data sets for individual spectroscopies and data fusion models were obtained with the use of the QDA and SVM methods, and did not exceed 3.3% and 0.0%, respectively. The lowest classification error rates in the validation data sets for individual spectroscopies were obtained with the use of RDA (12,8%), SVM (6,7%), and QDA (2,7%), for the UV-Vis, SF, and NIR spectroscopies, respectively. NIR spectroscopy combined with QDA outperformed other individual spectroscopic methods. Very low classification errors in the validation data sets - below 3% - were obtained for all the data fusion data sets (SF + UV-Vis, SF + NIR, NIR + UV-Vis combined with the SVM method). The results show that UV-Vis, fluorescence and near infrared spectroscopies may complement each other, giving lower errors for the classification of tea types.

Simultaneous quantification of simeprevir sodium: A hepatitis C protease inhibitor in binary and ternary mixtures with sofosbuvir and/or ledipasvir utilizing direct and H-point standard addition strategies

Simeprevir sodium (SMV); a novel hepatitis C inhibitor, quells hepatitis C viral replication by binding to and repressing the protease, hepatitis C infection (HCV) NS3/4A. In this way, it is known as a prompt acting antiviral agent. Calibration curves of SMV were built in various solvents; ethanol, methanol, acetonitrile, chloroform and dichloromethane. It is obeyed up to 60.0 μg/mL; in all solvents at two maximum wavelengths (280 and 327 nm). Several investigations show that, SMV might be present in a mixture of Sofosbuvir (SOF) and/or Ledipasvir (LDP). So far as that is concerned, H-point standard addition strategy (HPSAS) is made to identify it in binary or ternary mixtures. Recovery studies are in the prevalent range (93.0-107.0%) with relative standard deviation <1.5%. A correlation between the developed techniques is carried out and it demonstrates that these strategies are effectively applied for the simultaneous analysis of SMV, SOF and LDP in several synthetic samples and pharmaceutics. Statistical treatment of the acquired data is carried out against a newly published HPLC technique using F- and t-treatments.

Determination of amlodipine and atorvastatin mixture by different spectrophotometric methods with or without regression equations

Four new, simple, and reproducible spectrophotometric methods were developed and validated for the simultaneous determination of Amlodipine (AML) and Atorvastatin (AT) in bulk powder and pharmaceutical dosage form. The four methods include two progressive and two successive resolution techniques. The two progressive methods are Absorbance Subtraction (AS) and Amplitude Modulation (AM), while the two successive methods are Constant Value (CV) and Concentration Value. In the Concentration Value method, the concentration of the drugs is determined from the graphical representation without the use of regression equations. Linearity range for the two progressive methods was from 5 μg/mL-35 μg/mL while for the two successive methods was from 5 μg/mL-55 μg/mL. The four methods were validated according to the ICH guidelines and were found to be accurate, precise, and selective. The methods were also applied for determination of the mixture in the marketed pharmaceutical dosage form. Results obtained were compared with reported methods. Also, One-way ANOVA statistical test was done between all the proposed spectrophotometric methods where no significant differences were found.

Chemometric-Assisted Spectrophotometric Method for the Simultaneous Quantitative Determination of Ezetimibe and Simvastatin in Their Combined Dosage Forms

The multivariate method, partial least-squares (PLS), was used as a calibration procedure for the simultaneous UV spectrophotometric determination of ezetimibe and simvastatin in their pharmaceutical forms. The method was developed and satisfactorily validated according to International Conference on Harmonization guidelines with respect to specificity, linearity, precision, accuracy, and robustness. In this study, the PLS algorithms are based on the absorption spectra of 25 different mixtures of drugs obtained by a multilevel factorial design. The method was linear in the concentration range of 2-8 μg/mL for ezetimibe and 4-16 μg/mL for simvastatin (r2 > 0.99; n = 7) at wavelengths of 238 and 247 nm, respectively. The LOD and LOQ were 0.28 and 0.93 μg/mL for ezetimibe and 0.16 and 0.53 μg/mL for simvastatin, respectively. Precision and accuracy data, evaluated by RSD, were lower than 2%. The method, which proved to be robust, was performed with a 2n full-factorial design. The validated method is simple and low cost, has a low use of polluting reagents, and is environmental friendly. Therefore, the proposed method was successfully applied for the simultaneous quantitative analysis of ezetimibe and simvastatin in commercial formulations.

Geographic identification of Boletus mushrooms by data fusion of FT-IR and UV spectroscopies combined with multivariate statistical analysis

Boletus griseus and Boletus edulis are two well-known wild-grown edible mushrooms which have high nutrition, delicious flavor and high economic value distributing in Yunnan Province. In this study, a rapid method using Fourier transform infrared (FT-IR) and ultraviolet (UV) spectroscopies coupled with data fusion was established for the discrimination of Boletus mushrooms from seven different geographical origins with pattern recognition method. Initially, the spectra of 332 mushroom samples obtained from the two spectroscopic techniques were analyzed individually and then the classification performance based on data fusion strategy was investigated. Meanwhile, the latent variables (LVs) of FT-IR and UV spectra were extracted by partial least square discriminant analysis (PLS-DA) and two datasets were concatenated into a new matrix for data fusion. Then, the fusion matrix was further analyzed by support vector machine (SVM). Compared with single spectroscopic technique, data fusion strategy can improve the classification performance effectively. In particular, the accuracy of correct classification of SVM model in training and test sets were 99.10% and 100.00%, respectively. The results demonstrated that data fusion of FT-IR and UV spectra can provide higher synergic effect for the discrimination of different geographical origins of Boletus mushrooms, which may be benefit for further authentication and quality assessment of edible mushrooms.

Determination of metformin hydrochloride and glyburide in an antihyperglycemic binary mixture using high-performance liquid chromatographic-UV and spectrometric methods

Three methods were developed for simultaneous determination of metformin hydrochloride and glyburide in an antihyperglycemic binary mixture without previous separation. In the first method, a reversed-phase HPLC column with acetonitrile-water (60 + 40, v/v) mobile phase at 0.9 mL/min flow rate was used to separate both compounds, with UV detection at 254 nm. Linearity was obtained in the concentration range of 0.06--0.24 microg/mL for glyburide and 1.5-6.0 microg/mL for metformin hydrochloride. The second method depended on first- and second-derivative UV spectrometry with zero-crossing measurements. The first-derivative amplitude at 261 nm was selected for the assay of glyburide, and the second-derivative amplitude at 235 nm was selected for the assay of metformin hydrochloride. The third method depended on measuring the first derivative of the ratio-spectra at 241 nm for glyburide and 227 nm for metformin hydrochloride. For the second and third methods, Beer's law was obeyed in the range of 10-55 microg/mL for glyburide and 20-200 microg/mL for metformin. The proposed methods were extensively validated and applied for the analysis of some pharmaceutical formulations containing binary mixtures of the mentioned drugs.

[Efficient method of analysis of optical spectra from kinetic studies]

The application of principal components for the analysis of kinetic data obtained by optical spectroscopy is described. The use of singular value decomposition (SVD) for stable and reproducible generation of principal components, details of realization, advantages and drawbacks of the method are discussed. The described method with minor modifications may be used in a wide variety of UV-spectroscopy applications in molecular biology and biophysics. The developed method was applied to study the reaction of platinum anticancer drug, cisplatin, with DNA and methionine. Use of sensitive UV-spectroscopy allowed to study low platinum concentrations, typical for biological systems. It has been shown, that reactions of cisplatin with DNA and L-methionine generally follow the same pathway both at high and low concentrations.

Simultaneous multicomponent analysis of overlapping spectrophotometric signals using a wavelet-based latent variable regression

A wavelet-based latent variable regression (WLVR) method was developed to perform simultaneous quantitative analysis of overlapping spectrophotometric signals. The quality of the noise removal was improved by combining wavelet thresholding with principal component analysis (PCA). A method for selecting the optimum threshold was also developed. Eight error functions were calculated for deducing the number of factor. The latent variables were made by projecting the wavelet-processed signals onto orthogonal basis eigenvectors. Two-programs WMRA and WLVR, were designed to perform wavelet thresholding and simultaneous multicomponent determination. Experimental results showed the WLVR method to be successful even where there was severe overlap of spectra.

Simultaneous spectrophotometric determination of mercury and palladium with Thio-Michler's Ketone using partial least squares regression and orthogonal signal correction

A simple, novel and sensitive spectrophotometric method was described for simultaneous determination of mercury and palladium. The method is based on the complex formation of mercury and palladium with Thio-Michler's Ketone (TMK) at pH 3.5. All factors affecting on the sensitivity were optimized and the linear dynamic range for determination of mercury and palladium found. The simultaneous determination of mercury and palladium mixtures by using spectrophotometric method is a difficult problem, due to spectral interferences. By multivariate calibration methods such as partial least squares (PLS), it is possible to obtain a model adjusted to the concentration values of the mixtures used in the calibration range. Orthogonal signal correction (OSC) is a preprocessing technique used for removing the information unrelated to the target variables based on constrained principal component analysis. OSC is a suitable preprocessing method for PLS calibration of mixtures without loss of prediction capacity using spectrophotometric method. In this study, the calibration model is based on absorption spectra in the 360-660 nm range for 25 different mixtures of mercury and palladium. Calibration matrices were containing 0.025-1.60 and 0.05-0.50 microg mL(-1) of mercury and palladium, respectively. The RMSEP for mercury and palladium with OSC and without OSC were 0.013, 0.006 and 0.048, 0.030, respectively. This procedure allows the simultaneous determination of mercury and palladium in synthetic and real matrix samples good reliability of the determination.

Development and validation of sensitive methods for determination of sibutramine hydrochloride monohydrate and direct enantiomeric separation on a protein-based chiral stationary phase

Sibutramine hydrochloride monohydrate, chemically 1-(4-chlorophenyl)-N,N-dimethyl-alpha-(2-methylpropyl) hydrochloride monohydrate (SB.HCI.H20), was approved by the U.S. Food and Drug Administration for the treatment of obesity. The objective of this study was to develop, validate, and compare methods using UV-derivative spectrophotometry (UVDS) and reversed-phase high-performance liquid chromatography (HPLC) for the determination of SB.HCI.H20 in pharmaceutical drug products. The UVDS and HPLC methods were found to be rapid, precise, and accurate. Statistically, there was no significant difference between the proposed UVDS and HPLC methods. The enantiomeric separation of SB was obtained on an alpha-1-acid glycoprotein column. The R- and S-sibutramine were eluted in < 5 min with baseline separation of the chromatographic peaks (alpha = 1.9 and resolution = 1.9).

A comparative study of first-derivative spectrophotometry and column high-performance liquid chromatography applied to the determination of repaglinide in tablets and for dissolution testing

A fast and reliable method for the determination of repaglinide is highly desirable to support formulation screening and quality control. A first-derivative UV spectroscopic method was developed for the determination of repaglinide in tablet dosage form and for dissolution testing. First-derivative UV absorbance was measured at 253 nm. The developed method was validated for linearity, accuracy, precision, limit of detection (LOD), and limit of quantitation (LOQ) in comparison to the U.S. Pharmacopeia (USP) column high-performance liquid chromatographic (HPLC) method. The first-derivative UV spectrophotometric method showed excellent linearity [correlation coefficient (r) = 0.9999] in the concentration range of 1-35 microg/mL and precision (relative standard deviation < 1.5%). The LOD and LOQ were 0.23 and 0.72 microg/mL, respectively, and good recoveries were achieved (98-101.8%). Statistical comparison of results of the first-derivative UV spectrophotometric and the USP HPLC methods using the t-test showed that there was no significant difference between the 2 methods. Additionally, the method was successfully used for the dissolution test of repaglinide and was found to be reliable, simple, fast, and inexpensive.

Comparative spectral analysis of veterinary powder product by continuous wavelet and derivative transforms

Comparative simultaneous determination of chlortetracycline and benzocaine in the commercial veterinary powder product was carried out by continuous wavelet transform (CWT) and classical derivative transform (or classical derivative spectrophotometry). In this quantitative spectral analysis, two proposed analytical methods do not require any chemical separation process. In the first step, several wavelet families were tested to find an optimal CWT for the overlapping signal processing of the analyzed compounds. Subsequently, we observed that the coiflets (COIF-CWT) method with dilation parameter, a=400, gives suitable results for this analytical application. For a comparison, the classical derivative spectrophotometry (CDS) approach was also applied to the simultaneous quantitative resolution of the same analytical problem. Calibration functions were obtained by measuring the transform amplitudes corresponding to zero-crossing points for both CWT and CDS methods. The utility of these two analytical approaches were verified by analyzing various synthetic mixtures consisting of chlortetracycline and benzocaine and they were applied to the real samples consisting of veterinary powder formulation. The experimental results obtained from the COIF-CWT approach were statistically compared with those obtained by classical derivative spectrophotometry and successful results were reported.

Validated spectrophotometric methods for the estimation of moxifloxacin in bulk and pharmaceutical formulations

New, simple, cost effective, accurate and reproducible UV-spectrophotometric methods were developed and validated for the estimation of moxifloxacin in bulk and pharmaceutical formulations. Moxifloxacin was estimated at 296 nm in 0.1N hydrochloric acid (pH 1.2) and at 289 nm in phosphate buffer (pH 7.4). Beer's law was obeyed in the concentration range of 1-12 microg ml(-1) (r2=0.9999) in hydrochloric acid and 1-14 microg ml(-1) (r2=0.9998) in the phosphate buffer medium. The apparent molar absorptivity and Sandell's sensitivity coefficient were found to be 4.63 x 10(4) l mol(-1) cm(-1) and 9.5 ng cm(-2)/0.001 A in hydrochloric acid; and 4.08 x 10(4) l mol(-1) cm(-1) and 10.8 ng cm(-2)/0.001 A in phosphate buffer media, respectively indicating the high sensitivity of the proposed methods. These methods were tested and validated for various parameters according to ICH guidelines. The detection and quantitation limits were found to be 0.0402, 0.1217 microg ml(-1) in hydrochloric acid and 0.0384, 0.1163 microg ml(-1) in phosphate buffer medium, respectively. The proposed methods were successfully applied for the determination of moxifloxacin in pharmaceutical formulations (tablets, i.v. infusions, eye drops and polymeric nanoparticles). The results demonstrated that the procedure is accurate, precise and reproducible (relative standard deviation <2%), while being simple, cheap and less time consuming and hence can be suitably applied for the estimation of moxifloxacin in different dosage forms and dissolution studies.

Diagnosis of breast cancer using diffuse reflectance spectroscopy: Comparison of a Monte Carlo versus partial least squares analysis based feature extraction technique

BACKGROUND AND OBJECTIVE

We explored the use of diffuse reflectance spectroscopy in the ultraviolet-visible (UV-VIS) spectrum for the diagnosis of breast cancer. A physical model (Monte Carlo inverse model) and an empirical model (partial least squares analysis) based approach, were compared for extracting diagnostic features from the diffuse reflectance spectra.

STUDY DESIGN/METHODS

The physical model and the empirical model were employed to extract features from diffuse reflectance spectra measured from freshly excised breast tissues. A subset of extracted features obtained using each method showed statistically significant differences between malignant and non-malignant breast tissues. These features were separately input to a support vector machine (SVM) algorithm to classify each tissue sample as malignant or non-malignant.

RESULTS AND CONCLUSIONS

The features extracted from the Monte Carlo based analysis were hemoglobin saturation, total hemoglobin concentration, beta-carotene concentration and the mean (wavelength averaged) reduced scattering coefficient. Beta-carotene concentration was positively correlated and the mean reduced scattering coefficient was negatively correlated with percent adipose tissue content in normal breast tissues. In addition, there was a statistically significant decrease in the beta-carotene concentration and hemoglobin saturation, and a statistically significant increase in the mean reduced scattering coefficient in malignant tissues compared to non-malignant tissues. The features extracted from the partial least squares analysis were a set of principal components. A subset of principal components showed that the diffuse reflectance spectra of malignant breast tissues displayed an increased intensity over wavelength range of 440-510 nm and a decreased intensity over wavelength range of 510-600 nm, relative to that of non-malignant breast tissues. The diagnostic performance of the classification algorithms based on both feature extraction techniques yielded similar sensitivities and specificities of approximately 80% for discriminating between malignant and non-malignant breast tissues. While both methods yielded similar classification accuracies, the model based approach provided insight into the physiological and structural features that discriminate between malignant and non-malignant breast tissues.

Determinations of fluoroquinolones and nonsteroidal anti-inflammatory drugs in urine by extractive spectrophotometry and photoinduced spectrofluorimetry using multivariate calibration

Multivariate calibration methods are chemometric tools that may be applied to the analysis of spectroscopic data with multichannel detection. Two procedures, based on spectrophotometric and fluorimetric signals, are reported for the simultaneous determination of two fluoroquinolones (ciprofloxacin and ofloxacin) and two nonsteroidal anti-inflammatory drugs (diclofenac and mefenamic acid) using first- and second-order multivariate calibration methods. In the spectrophotometric method, an extractive procedure into chloroform using trioctylmethylammonium chloride-adogen as counter ion was optimized, with the object of extracting the analytes from urine samples and eliminating matrix interferences. After separation, the absorption spectrum of the organic phase was used as the analytical signal in a partial least squares method. A photoinduced spectrofluorimetric (PIF) method using excitation-emission fluorescence matrices, is proposed, to apply three-way chemometric calibration, with the aim of analyzing ofloxacin, ciprofloxacin, and diclofenac in urine samples without the previous extractive sample-cleaning step. For both procedures, recoveries around 100% were found for all the analytes. However, the PIF three-way chemometric method provides the most sensitive and selective procedure as the urine interferences are modulated using the three-way chemometric technique.

Comparative study of the continuous wavelet transform, derivative and partial least squares methods applied to the overlapping spectra for the simultaneous quantitative resolution of ascorbic acid and acetylsalicylic acid in effervescent tablets

The simultaneous spectrophotometric determination of ascorbic acid (AA) and acetylsalicylic acid (ASA) in effervescent tablets in the presence of the overlapping spectra was accomplished by the continuous wavelet transform (CWT), derivative spectrophotometry (DS) and partial least squares (PLS) approaches without using any chemical pre-treatment. CWT and DS calibration equations for AA and ASA were obtained by measuring the CWT and DS amplitudes corresponding to zero-crossing points of spectra obtained by plotting continuous wavelet coefficients and first-derivative absorbance values versus the wavelengths, respectively. The PLS calibration was constructed by using the concentration set and its full absorbance data consisting of 850 points from 220 to 305 nm in the range of 210-310 nm. These three methods were tested by analyzing the synthetic mixtures of the above drugs and they were applied to the real samples containing two commercial pharmaceutical preparations of subjected drugs. A comparative study was carried out by using the experimental results obtained from three analytical methodologies and precise and accurate results were obtained.

Overestimation of rifampicin during colorimetric analysis of anti-tuberculosis products containing isoniazid due to formation of isonicotinyl hydrazone

When present together in fixed-dose combinations (FDC) of anti-tuberculosis drugs, rifampicin (R) and isoniazid (H) interact with each other to form isonicotinyl hydrazone (HYD). In a preliminary study, this product was found to possess similar colorimetric spectrum to that of rifampicin. Therefore, an investigation was undertaken to determine interference of HYD during analysis of rifampicin in FDC products by colorimetry. For the purpose, standard plots were constructed for rifampicin and HYD at 475 nm, the wavelength maximum for both the compounds. The plots were linear in the range of 10-100 microg/ml. Molar absorptivity values for rifampicin and HYD were 15279 and 5034, respectively. It indicated that HYD possessed one-third absorptivity to that of rifampicin. The analysis of combinations of rifampicin and HYD revealed that rifampicin could be overestimated to a maximum extent of 33%, while interference varied at other relative ratios of the two compounds. This was also confirmed by colorimetric and HPLC analysis of a degraded marketed product and samples from a dissolution study. Thus this investigation suggests that any method devoid of interference of HYD should be preferred for analysis of rifampicin, whenever it is present along with isoniazid.

A linear correlation between the energetics of allosteric communication and protein flexibility in the Escherichia coli cyclic AMP receptor protein revealed by mutation-induced changes in compressibility and amide hydrogen-deuterium exchange

Amino acid substitutions at distant sites in the Escherichia coli cyclic AMP receptor protein (CRP) have been shown to affect both the nature and magnitude of the energetics of cooperativity of cAMP binding, ranging from negative to positive. In addition, the binding to DNA is concomitantly affected. To correlate the effects of amino acid substitutions on the functional energetics and global structural properties in CRP, the partial specific volume (v(o)), the coefficient of adiabatic compressibility (beta(s)(o)), and the rate of amide proton exchange were determined for the wild-type and eight mutant CRPs (K52N, D53H, S62F, T127L, G141Q, L148R, H159L, and K52N/H159L) by using sound velocity, density measurements, and hydrogen-deuterium exchange as monitored by Fourier transform infrared spectroscopy at 25 degrees C. These mutations induced large changes in v(o) (0.747-0.756 mL/g) and beta(s)(o) (6.89-9.68 Mbar(-1)) compared to the corresponding values for wild-type CRP (v(o)= 0.750 mL/g and beta(s)(o)= 7.98 Mbar(-1)). These changes in global structural properties correlated with the rate of amide proton exchange. A linear correlation was established between beta(s)(o) and the energetics of cooperativity of binding of cAMP to the high-affinity sites, regardless of the nature of cooperativity, be it negative or positive. This linear correlation indicates that the nature and magnitude of cooperativity are a continuum. A similar linear correlation was established between compressibility and DNA binding affinity. In addition, linear correlations were also found among the dynamics of CRP and functional energetics. Double mutation (K52N/H159L) at positions 52 and 159, whose alpha-carbons are separated by 34.6 A, showed nonadditive effects on v(o) and beta(s)(o). These results demonstrate that a small alteration in the local structure due to amino acid substitution is dramatically magnified in the overall protein dynamics which plays an important role in modulating the allosteric behavior of CRP.

Measurements of cavity ringdown spectroscopy of acetone in the ultraviolet and near-infrared spectral regions: potential for development of a breath analyzer

We report a study on the cavity ringdown spectroscopy of acetone in both the ultraviolet (UV) and the near-infrared (NIR) spectral regions to explore the potential for development of a breath analyzer for disease diagnostics. The ringdown spectrum of acetone in the UV (282.4-285.0 nm) region is recorded and the spectrum is in good agreement with those obtained by other spectral techniques reported in the literature. The absorption cross-section of the C-H stretching overtone of acetone in the NIR (1632.7-1672.2 nm) is reported for the first time and the maximum absorption cross-section located at 1666.7 nm is 1.2 x 10(-21) cm(2). A novel, compact, atmospheric cavity with a cavity length of 10 cm has been constructed and implemented to investigate the technical feasibility of the potential instrument size, optical configuration, and detection sensitivity. The detection limit of such a mini cavity employing ringdown mirrors of reflectivity of 99.85% at 266 nm, where acetone has the strongest absorption, is approximately 1.5 ppmv based on the standard 3 criteria. No real breath gas samples are used in the present study. Discussions on the detection sensitivity and background spectral interferences for the instrument development are presented. This study demonstrates the potential of developing a portable, sensitive breath analyzer for medical applications using the cavity ringdown spectral technique.

Evaluation of microbiological and physicochemical indicators for wastewater treatment

The quality control of wastewater treatments was monitored using selected novel and classical physicochemical and microbiological indicators, and the associations of the treatments with the effluents was analyzed. The microbiological indicators monitored were heterotrophic plate count (HPC), total coliforms (TC), fecal coliforms (FC), fecal streptococci (FS), sulfite-reducing clostridia (SRC), Pseudomonas aeruginosa, and Salmonella spp. The stages of wastewater treatment also were evaluated through determination of ammonia; biological oxygen demand (BOD(5)); chemical oxygen demand (COD); chloride; conductivity; suspended dissolved and total solids; fats; nitrate, nitrite, and total nitrogen; pH; phosphate and total phosphorus. Additional indicators included the Escherichia coli growth inhibition (IGEC) bioassay for assessing whole effluent toxicity, spectral determinations between wavelengths (lambda) 190-650 nm, and total (TP) and soluble (SP) protein contents. Of the more common physicochemical parameters, only BOD(5), COD, suspended and total solids, and fats showed a statistically significant reduction between raw water and effluent; for the microbiological indicators, significant reduction was seen only for HPC, FC, and Ps. aeruginosa. We suggest that determinations of Ps. aeruginosa be commonly used as an indicator of wastewater quality. Spectral analysis--most notably the values of absorbance at 225, 255, and 295 nm-revealed a statistically significant correlation with several physicochemical parameters. Statistical analysis of SP and TP values showed them to be good indicators of contamination. The quantitative study of Salmonella spp. and the results of the IGEC bioassay show the need for close control of infectious and toxic risks in wastewater and effluents.

Determination of Thiamine HCl and Pyridoxine HCl in Pharmaceutical Preparations Using UV-Visible Spectrophotometry and Genetic Algorithm Based Multivariate Calibration Methods

Simultaneous determination of binary mixtures pyridoxine hydrochloride and thiamine hydrochloride in a vitamin combination using UV-visible spectrophotometry and classical least squares (CLS) and three newly developed genetic algorithm (GA) based multivariate calibration methods was demonstrated. The three genetic multivariate calibration methods are Genetic Classical Least Squares (GCLS), Genetic Inverse Least Squares (GILS) and Genetic Regression (GR). The sample data set contains the UV-visible spectra of 30 synthetic mixtures (8 to 40 microg/ml) of these vitamins and 10 tablets containing 250 mg from each vitamin. The spectra cover the range from 200 to 330 nm in 0.1 nm intervals. Several calibration models were built with the four methods for the two components. Overall, the standard error of calibration (SEC) and the standard error of prediction (SEP) for the synthetic data were in the range of <0.01 and 0.43 microg/ml for all the four methods. The SEP values for the tablets were in the range of 2.91 and 11.51 mg/tablets. A comparison of genetic algorithm selected wavelengths for each component using GR method was also included.

Use of control sample for estimation of prediction error in multivariate determination of lidocaine solutions with non-column chromatographic diode array UV spectroscopy

The aim of this study was to investigate the ability of a control sample, of known content and identity, to diagnose and correct errors in the predictions when the same multivariate calibration model was used for analysis of new samples over time. A calibration set consisting of 16 samples with a known content of lidocaine was analysed and two external test sets, A and B, were used for the validation. Test set A contained 15 samples with different concentrations of lidocaine and test set B contained three samples with different lidocaine content, which were analysed six times in order to obtain a measure of repeatability. The multivariate calibration was done with PLS regression on UV spectra collected between 245 and 290 nm. A representative UV spectrum was exported from the collected DAD files by two methods, average spectrum over the whole file and average spectrum over the sample plug. Test set A was analysed further on another three occasions together with a control sample. The results showed that the control sample could be used to give a diagnosis and estimate of the prediction error. Moreover, the measured prediction error of the control sample could also be used to correct the predictions, thereby reducing the prediction error. Finally, some practical considerations regarding use of the proposed DAD method with a control sample are presented. The procedure suggested could lead to an efficient analytical approach where the same calibration model could be used over time without recalibration, which may be attractive in industrial quality control or screening analysis in pharmaceutical research.

Electronic absorption spectra of amino substituted anthraquinones and their interpretation using the ZINDO/S and AM1 methods

Electronic absorption spectra of 1,2-diamino-9,10-anthraquinone (12DAAQ), 1,4-diamino-9,10-anthraquinone (14DAAQ), 1,5-diamino-9,10-anthraquinone (15DAAQ), and 2,6-diamino-9,10-anthraquinone (26DAAQ) are investigated. Molecular geometries of the amino anthraquinones in the ground state are optimized using the semiempirical ZINDO/1 and AM1 methods without imposing any symmetry constraints. The ground state geometries of all the molecular systems are found to be planar. For interpretation of the spectra, ZINDO/S-CI and AM1-CI calculations employing singly excited configuration using the completely optimized geometry are carried out. Such calculations on the electronic spectra of amino anthraquinones are carried out for the first time. On the basis of these calculations, the assignment of the spectra are successfully made.

Two derivative spectrophotometric determinations of indapamide in pharmaceutical dosage forms

Simple, fast and reliable derivative spectrophotometric methods were developed for determination of indapamide in bulk and pharmaceutical dosage forms. The solutions of standard and the sample were prepared in methanol. The quantitative determination of the drug was carried out using the first-derivative values measured at 252.8 nm (N=6) and the second-derivative values measured at 260.4 nm (N=9). Calibration graphs constructed at their wavelengths of determination were linear in the concentration range of indapamide using peak to zero 1.00-30.00 microg ml(-1) for first-derivative and 1.00-35.00 microg ml(-1) for second-derivative spectrophotometric method. The developed methods were successfully applied for the assay of pharmaceutical dosage forms which do not require any preliminary separation or treatment of the samples. The details of the statistical treatment of analytical data are also presented. The results obtained from two derivative spectrophotometry were compared with a spectrophotometric method reported in literature and no significant difference was found statistically.

Comparison of UV- and second derivative-spectrophotometric and LC methods for the determination of valsartan in pharmaceutical formulation

UV- and second derivative-spectrophotometric and high-performance liquid chromatographic methods for the determination of valsartan in pharmaceutical formulation have been developed. For the first method, UV-spectrophotometry, standard solutions were measured at 205.6 nm. The linearity changes were found to be 2.0-10.0 microg ml(-1) in ethanol and the regression equation was A=1.05 x 10(-1)C+4.26 x 10(-2) (r=0.9997). For the second method, the distances between two extremum values (peak-to-peak amplitudes), 221.6 and 231.2 nm were measured in the second order derivative-spectra of standard solutions. Calibration curves were constructed by plotting d(2)A/dlambda(2) values against concentrations, 0.5-4.0 microg ml(-1) of valsartan standards in ethanol. Regression equation of linear calibration graph was calculated as D=2.9 x 10(-2)C-2.37 x 10(-3) (r=0.9996). The third method was based on high-performance liquid chromatography on C18 column using acetonitrile, phosphate buffer as a mobile phase and losartan as internal standard. Detection was carried out at 265 nm with a UV-detector. The assay was linear over the concentration range at 1.0-5.0 microg ml(-1) and regression equation was found to be A=2.74 x 10(-1)C+2.06 x 10(-2) (r=0.9991). Commercial capsules containing 160 mg valsartan were analysed by the developed methods and the results obtained were compared statistically at 95% confidence level.

Separation of organic and inorganic arsenic species by capillary electrophoresis using direct spectrophotometric detection

Capillary electrophoresis (CE) with UV detection was used for the determination of arsenite, arsenate, monomethylarsonic acid, dimethylarsinic acid, p-aminophenylarsonic acid, 4-hydroxy-3-nitrobenzenearsonic acid, 4-nitrophenylarsonic acid, phenylarsonic acid, and phenylarsine oxide. The electrophoretic mobilities of these anionic species were determined in a 20 mM phosphate buffer in a pH range from 4 to 11, which established pH 10 as the optimum for the separation. The target analytes were then separated in a fused-silica capillary using 20 mM NaHCO(3)-Na(2)CO(3) buffer, pH 10, as electrolyte and detected at 192 nm. Both normal- and reversed electroosmotic flow (EOF) separation modes were investigated and in the latter case, poly(diallydimethylammonium chloride) (PDDAC), was used for dynamic coating of the capillary and to provide a stable and reproducible reversed EOF (relative standard deviation RSD, 0.39%). The influence of electrolyte pH and composition, applied voltage, as well as EOF reversal protocols upon the method performance criteria were investigated. The optimised method provided limits of detection for the target analytes of 1.62, 6.22, 1.45, 1.83, 0.34, 0.40, 0.40, 0.18, and 0.30 mg/L As, respectively. Linearity was obtained in the range of 0.5-40 mg/L As (for aryl compounds) and from 5-100 mg/L As (for the remaining analytes). Reproducibility of peak areas was in the range of 0.8-5.5% RSD. The method was applied to the determination of four aryl arsenic compounds used as additives in animal feed. Analytes were extracted with 40 mM hydrochloric acid - acetonitrile 4:1 v/v, and then cleaned up by passing through a C(18) solid-phase extraction cartridge before analysis by CE with detection at 200 nm. Recoveries for the four analytes were in the range of 78.8-108.3%.

Indirect spectrophotometric determination of propranolol hydrochloride and piroxicam in pure and pharmaceutical formulations

Two simple and sensitive indirect spectrophotometric methods for the assay of propranolol hydrochloride (PPH) and piroxicam (PX) in pure and pharmaceutical formulations have been proposed. The methods are based on the oxidation of PPH by a known excess of standard N-bromosuccinimide (NBS) and PX by ceric ammonium sulfate (CAS) in an acidic medium followed by the reaction of excess oxidant with promethazine hydrochloride (PMH) and methdilazine hydrochloride (MDH) to yield red-colored products. The absorbance values decreased linearly with increasing concentration of the drugs. The systems obeyed Beer's law over the concentration ranges of 0.5 - 12.5 and 0.3 - 16.0 microg/ml for PPH, and 0.4 - 7.5 and 0.2 - 10 microg/ml for PX with PMH and MDH, respectively. Molar absorptivity values, as calculated from Beer's law data, were found to be 1.36 x 10(4) and 2.55 x 10(4) l mol(-1) cm(-1) for PPH, and 2.08 x 10(4) and 2.05 x 10(4) l mol(-1) cm(-1) for PX with PMH and MDH, respectively. The common excipients and additives did not interfere with their determinations. The proposed methods have been successfully applied to the determinations of PPH and PX in various dosage forms. The results obtained by the proposed methods compare favorably with those of official methods.

Spectrophotometric determination of enrofloxacin and pefloxacin through ion-pair complex formation

Two simple, quick and sensitive spectrophotometric methods are described for the determination of enrofloxacin and Pefloxacin. The methods are based on the reaction of these drugs with bromophenol blue (BPB) and methyl orange (MO) in buffered aqueous solution at pH 2.3-2.5 in case of bromophenol blue and at pH 3.6 with MO to give highly coloured complex species, extractable with chloroform. The coloured products are quantitated spectrophotometrically at 420 and 424 nm for BPB and MO, respectively. Optimisation of the different experimental conditions is described. Beer's law is obeyed in the concentration ranges 2-12 and 2-18 microg ml(-1) with BPB and in the ranges 1-12 and 4-40 microg ml(-1)with MO for enrofloxacin and pefloxacin, respectively. The proposed methods are applied for determination of Enroxil oral solution, Peflacine tablets and Peflacine ampoules with mean percentage accuracies 99.5+/-0.99, 99.39+/-1.05 and 100.02+/-0.895, respectively, with BPB and 100.30+/-0.89, 100.25+/-0.98 and 100.20+/-0.72, respectively, with MO.

Applications of derivative UV spectrophotometry for the determinations of cetirizine dihydrochloride in pharmaceutical preparations

A method for the determination of cetirizine dihydrochloride in pharmaceuticals by first-, second-, third- and fourth- order derivative spectrophotometry is described, using "peak-peak" (P-P), and "peak-zero" (P-0) measurements. The calibration curves are linear within the concentration range of 7.5-22.5 microg ml(-1) for cetirizine dihydrochloride. The procedure is simple, rapid and the results are reliable.

Examination of iron (III) and hexacyanoferrate (III) ions as reagents for the spectrophotometric determination of promazine and perazine

Iron (III) chloride and potassium hexacyanoferrate (III) have been tested as reagents for the determination of promazine hydrochloride and perazine. The methods are based on the oxidation of phenothiazines by FeCl3 and K3[Fe(CN)6] in perchloric acid medium. The optimal conditions for the formation of oxidation products of promazine and perazine were examined. The absorption spectra in the UV-VIS region were recorded.

Gravimetric and spectrophotometric determination of some phenothiazine and imidazole derivatives in coated tablets and tablets

Two drugs in the form of coated tablets: Promazin (promazine hydrochloride) (1) and Thioridazin (thioridazine hydrochloride) (2), and tablets Clotrimazolum (clotrimazole) (3) were assayed gravimetrically and spectrophotometrically in the same process using complexes with ammonium molybdate. Stoichiometry of these complexes was established by elemental analysis and analysis of the incineration residue (MoO3). The complexes were subsequently characterized using their IR and UV spectra and melting points. The active substances of the complexes were also determined spectrophotometrically. Using this method Beers Law was found to hold for the concentration ranges of 5-40 microg/ml (complex of 1), 5-60 (microg/ml (complex of 2) and 2-10 microg/ml (complex of 3). The method was validated in terms of precision, linearity, detection limit and quantification limit. The two methods of drug determination, used in a single analytical process verify each other.

Spectrophotometric simultaneous determination of triamterene and hydrochlorothiazide in triamterene-H tablets by multivariate calibration methods

The multivariate calibration methods of partial least-square regression and principal component regression were applied for the simultaneous spectrophotometry determination of triamterene (TRM) and hydrochlorothiazide (HYD) in their mixtures. The parameters of the chemometric procedure were optimized, and the proposed methods were validated with synthetic samples and applied to analyze these drugs in pharmaceutical products with good accuracy and precision. The results were compared with those given by the British Pharmacopoeia (BP) method. The square of the correlation coefficients (R(2)) for predicted TRM and HYD with the proposed method in a test sample were 0.9994 and 0.9992, respectively. The relative standard deviation for commercial tablets in the proposed method and BP standard method were 0.405 and 2.142%, respectively.

Detection and discrimination of PrPSc by multi-spectral ultraviolet fluorescence

Prion diseases are progressive degenerative disorders of the central nervous system. The transmissibility and fatal nature of these diseases necessitate their rapid and accurate diagnosis. The hallmark of these diseases is the accumulation of PrPSc, a protease-resistant form of a host-coded glycoprotein. We have been evaluating the use of multi-spectral ultraviolet fluorescent spectroscopy as a means of detecting and distinguishing between different forms of PrPSc. Spectroscopic measurements of fluorescence from untreated and proteinase K (PK)-treated PrPSc, purified from 263K scrapie strain-infected hamster brains and ME7 scrapie strain-infected mouse brains, were performed. Spectra of untreated and PK-treated PrPSc samples for 263K and ME7 appeared qualitatively different. The identification and discrimination of PrPSc were possible based on these spectral signatures, calculations of their fluorescence cross sections, and determination of the orthogonal differences. This technique has the potential not only for the sensitive, specific, and direct detection of PrPSc, but also for the ability to distinguish between different forms of the prion protein.

[The detection and quantitative determination of lidocaine and novocainamide in biological fluids]

Offers methods for isolation of lidocaine and novocainamide present together in the urine, blood plasma, and saliva. Demonstrates the possibility of identifying these substances in biological fluids by thin-layer and gas liquid chromatography. Proposes methods for measuring lidocaine and novocainamide in biological objects by UV spectrometry (combined polynomial) and gas liquid chromatography. Demonstrates the reliability of the results.

[Spectrographic studies on the radioresistance of Miltex and miltefosine]

AIM

With simultaneous application of Miltex and radiation therapy in the combined treatment of topical relapses and skin metastases in breast carcinoma patients the question arises, how radioresistant is the new cytotoxic agent. Because of the long penetration times of the active agent miltefosine the answer is important with particular regard to the time of the external application of Miltex.

MATERIAL AND METHOD

After the application of a single dose of 10 Gy we studied the stability of the commercial preparation and its active agent miltefosine by means of absorption spectroscopy.

RESULTS

Immediately following the irradiation no alterations in absorption spectra of Miltex and miltefosine were found. However, 2 and 8 h post radiation the absorption curves of Miltex and miltefosine solutions were distinctly changed. The radiation induced changes of Miltex dilutions were smaller than those of the miltefosine solutions. For the commercial preparation the amount of the radiation-induced destruction is 0.10.

CONCLUSIONS

Consequently Miltex has shown a sufficient radioresistance or its decrease in the effectiveness is small. With daily single doses of 2 Gy in the radiotherapy of the topical relapses and skin metastases the destruction degree should be reduced to 0.02 assuming linear changes. Because of the distinct changes in the spectra and relative slow penetration of miltefosine in various cell lines [10, 11, 14] we will propose an application of the commercial cytotoxic agent 5 h before the radiation fractions. The smaller effect on Miltex is discussed in relation to the solution mediators of the active agent.

[Determination of caffeine and sodium benzoate contents in caffeine and sodium benzoate injection by P-matrix method]

The contents of caffeine and sodium benzoate injection may be determined by P-matrix method without separation of its components. BSAIC language is used for programming. The average recovery of caffeine is 100.0% and that of sodium benzoate is 99.95%. The variation coefficient of caffeine is 0.40% and that of sodium benzoate is 0.65%. On the basis of recovery rate and data observed it is concluded that this method is accurate, reliable, simple and rapid as compared with the standard pharmacopoeia regulations.

[The spectrophotometric determination of metronidazole and etimizol when jointly present in the urine]

A method for spectrophotometric measurement of metronidasole and ethymisole jointly present in the urine has been developed. Combined polynomes have been designed to eliminate the effects of light-absorbing admixtures extracted from the urine on the results of analysis.

Simultaneous monitoring of the environment of tryptophan, tyrosine, and phenylalanine residues in proteins by near-ultraviolet second-derivative spectroscopy

A method for deconvolution of the near-uv second-derivative spectra of proteins into their component tryptophan, tyrosine, and phenylalanine spectra is described. In this approach, the second-derivative spectra of tryptophan and tyrosine model compounds are numerically shifted to create a set of reference spectra corresponding to anticipated peak positions in protein environments of different polarity. The relative contributions of these individual standard spectra are varied until the best fit to the experimental protein spectrum is obtained. Separate addition of tryptophan and tyrosine standard spectra, weighted by their contributions as determined in the fitting procedure, yields an accurate representation of the spectra of these residues in proteins. The position of the intersection of these spectra with the wavelength axis is used as a measure of spectral position in ethylene glycol perturbation experiments in which the average solvent accessibility is assessed by relating the observed shifts in the tryptophan and tyrosine spectra to the shifts observed for corresponding model compounds. The phenylalanine peak positions in the set of 16 proteins studied are determined as described previously [H. Mach et al. (1991) Arch. Biochem. Biophys. 287, 33-40]. For all three aromatic residues in proteins, no consistent correlation between absolute spectral band positions and average solvent accessibility is observed, suggesting a significant influence of other local (e.g., electrostatic) effects on near-uv spectra of proteins. The maximum spectral shift observed between solvent-exposed model compounds and side chains entirely buried in apolar protein core was found to be approximately 5 nm for tyrosine, 4 nm for tryptophan, and 2 nm for phenylalanine residues.

[The estimation of free-radical lipid oxidation in the erythrocytes and blood plasma]

Modification of the spectrophotometric method for simultaneous determination of the concentration of primary, secondary and final products of the free-radical oxidation of lipids in the plasma and erythrocytes of the blood. The method permits estimating intensity of processes of free-radical oxidation as well as correlation between concentration of the indices in the plasma and in the erythrocytes. Changes in the correlations of dienic, trienic and oxodienic conjugates permit determining direction of metabolism of unsaturated lipids, degree of oxidation of fatty acids and peroxidation index.

A step forward in enzymatic measurement of creatinine

We describe an improved enzymatic ultraviolet absorbance method for assaying creatinine in serum, plasma, and urine. Creatinine is hydrolyzed by creatinine iminohydrolase (EC 3.5.4.21) to ammonia and N-methylhydantoin. The ammonia produced combines with 2-oxoglutarate and NADPH in the presence of glutamate dehydrogenase to yield glutamate and NADP+. The consumption of NADPH, measured by a two-point fixed-time assay, is proportional to the amount of creatinine in the sample. The assay is carried out in two steps: The first step eliminates background absorbance in hyperlipemic samples and endogenous ammonia through a "clearing system" and an isocitrate dehydrogenase-based "ammonia scavenger system"; the second step starts creatinine measurement. The method affords a simple, rapid, and sensitive assay with good precision and extended linearity; it employs working solutions stable at least 4 months. Test results compare closely with those of the isotope dilution-mass spectrometry Definitive Method, the HPLC procedure, and the fuller's earth method. The proposed method is not subject to interference from several metabolites or from the 72 drugs tested. Because it is easily automated, the method is suitable for routine work in clinical laboratories.