Stability of benzoporphyrin photosensitizers in water/ethanol mixtures: pKa determination and self‐aggregation processes

Benzoporphyrin monoacid derivatives, here named B3A and B3B, are promising new drugs for photodynamic therapy. Although both isomers show interesting characteristics as photosensitizing compounds, they have some distinct physicochemical properties such as the tendency to self‐aggregate in water‐rich media. Because pH drives the presence of each species, the pK_a of these compounds assumes strategic importance. However, traditional micro‐titration methods and UV–Vis absorption techniques fail to give reliable pK_a values due to the characteristics of this highly complex system, such as the precipitation of hydrophobic species, close pK_a values, and high absorption band superposition. In the present work, chemometric tools are employed to evaluate pK_a, and the kinetic tendency of monomers to undergo self‐aggregation is investigated. In solvent mixtures at low water percentage in ethanol, both B3A and B3B are stabilized in a monomeric state. However, in mixtures with a high water content, self‐aggregation takes place, mainly under a mild pH acid condition (3 < pH < 6), in which the prevalent protolytic species of both isomers is the neutral charged form, compounds with carboxylic and porphyrin free‐base groups. It is demonstrated that both isomers can undergo aggregation following a self‐catalytic mechanism, which is 2000 times slower to B3A than B3B. For B3A, the aggregation is manifested by a decrease in the monomer band with the aggregation band probably superposed to that of the monomer. For B3B, together with the decrease in the monomer band, a new band related to self‐aggregates is observed. Copyright © 2010 John Wiley & Sons, Ltd.     

Introduction to COBAC IV

After a short retrospect to chemometry and stoichiometry the definition of COBAC (computer-based analytical chemistry) is as follows: the on-line hyphenation of analytical instruments with a computerized information-system. A hierarchical scheme and some examples of use and interpretation are given.     

Applications of Monte-Carlo simulation and chemometric techniques for development of bioanalytical liquid chromatography method for estimation of rosuvastatin calcium

In the present work, we investigated the development of a bioanalytical HPLC method of rosuvastatin (RSV) calcium as per the Quality by Design (QbD)-based systematic chemometric tools. At first, the method objectives were framed and critical analytical attributes (CAAs) were chosen. Risk assessment and factor screening was performed using Hybrid Risk Matrix and Plackett–Burman design for identifying vital factors influencing the critical method parameters (CMPs). Monte-Carlo simulation analysis was conducted which confirmed excellent process robustness (Ppk >1.33) for the studied ranges of CMPs. Furthermore, systematic method development was carried out using custom experimental design, where mobile phase ratio, pH, and injection volume were taken as CMPs at three levels. The obtained trials were evaluated for peak area, retention time, theoretical plates, and peak tailing as CAAs. Mathematical response surface modeling was carried out and optimal chromatographic solution was identified using response optimizer plots. Method transfer was made to bioanalytical scale for estimation of the analyte in rat plasma samples. Extensive method validation was performed as per the ICH Q2 guideline, which indicated validation parameters within the acceptable limits. Overall, the studies construed successful development of QbD compliant HPLC method of rosuvastatin with potential utility bioanalytical testing.     

Fast Interpretation Of 3D Liquid Chromatography Signals: Application To The Study Of Organic Matter In Wastewaters

Abstract

The aim of this work is to propose a very simple method for the selection and interpretation of the relevant individual spectra of a set of absorbance spectra, as for example in a 3D chromatogram. The method is based on the rank computation of the matrix of experimental values, after or during a chromatographic run. From a classical chromatographic system with a rapid scanning spectrophotometer (diode array detector for example), a computer is used for data acquisition of absorbances of the whole UV spectrum, and later computation. Firstly, acquisition is performed until the end of the elution and then the program gives the number and the corresponding spectra of relevant fractions. If another run is needed, for a different sample for example, the procedure makes it possible to check whether the detection signal is independent of the previous spectra. Different applications are presented for the study of organic matter in wastewaters by low pressure liquid chromatography.     

Stability‐indicating chromatographic and chemometric methods for environmentally benign determination of canagliflozin and its major degradation product; A comparative study and greenness assessment

Recently, concepts of sustainable developments, like considering the environmental effect of chemicals used and the amount of hazardous wastes produced, has gained much interest. In this work, a recently approved treatment for type II diabetes mellitus, canagliflozin, was quantified along with its degradation product by two eco‐friendly methods. The first was a specific green HPLC method using a C₁₈ column as a stationary phase and a mobile phase consisting of methanol–water (98:2, v/v) pumped at a flow rate of 1 mL/min with UV detection at 225 nm, and using ibuprofen as an internal standard. The second method was a partial least square chemometric method with the wavelength range 220–320 nm and the data was autoscaled as a preprocessing step for determination of canagliflozin and its degradation product. The greenness profile of the developed methods was studied and compared with the reported methods. The proposed methods were suitable alternatives for the environmentally harmful reported methods for quality control analyses of canagliflozin‐containing samples, analysis of pharmaceutical formulations and sensitive tracing of its possible degradation product. The methods were validated as per International Conference on Harmonization guidelines and statistically compared with the reported HPLC method.     

Varietal and Geographical Origin Characterization of Peaches and Nectarines by Combining Analytical Techniques and Statistical Approach

Prunus persica L. is one of the most important fruit crops in European production, after grapes, apples, oranges and watermelons. Most varieties are rich in secondary metabolites, showing antioxidant properties for human health. The purpose of this study was to develop a chemical analysis methodology, which involves the use of different analytical-instrumental techniques to deepen the knowledge related to the profile of metabolites present in selected cultivars of peaches and nectarines cultivated in the Mediterranean area (Southern Italy). The comparative study was conducted by choosing yellow-fleshed peaches (RomeStar, ZeeLady) and yellow-fleshed nectarines (Nectaross, Venus) from two geographical areas (Piana di Sibari and Piana di Metaponto), and by determining the chemical parameters for the flesh and skin that allow for identification of any distinctive varietal and/or geographical characteristics. A combined analytical and chemometric approach was used, trough rheological, thermogravimetric (TGA), chromatographic (HPLC-ESI-MS), spectroscopic (UV-Vis, ATR-FTIR, NMR) and spectrometric (ToF-SIMS) analysis. This approach allowed us to identify the characterizing parameters for the analysis of a plant matrix so that the developed methodology could define an easily exportable and extendable model for the characterization of other types of vegetable matrices.     

GC-FTIR as a powerful tool for the characterization of flavor components in Kiwi

Extracts from deep-frozen Kiwi puree were investigated by an integrated method consisting of GC-FTIR and GC-MS for a reliable identification of the peaks detected and GC-sniffing to correlate this chemical information to sensory impression. Beneath trans-2-hexenal, that is responsible for the fresh, green scent, cyclohexarione was identified among a number of substances. By comparison of the FTIR-spectra to a specific vapor-phase-IR-library, that is presently accumulated in our group, most of the components could be identified.In particular 3 terpene-esters, linalyl-acetate, isobornylacetate anda-terpinyl-acetate were identified and found to be responsible for an overripe, terpene-like-off-flavor in stored Kiwi puree.In this field of unsaturated terpenes, esters and aldehydes the identification-capability of FTIR together with appropriate library-spectra exceeds that of mass-fragmentograms, especially for isomeric compounds, whereas the combined information of both techniques is needed for a reliable characterization of complex flavor-mixtures because of its complementary nature.     

Cancer Influences the Elemental Composition of the Myocardium More Strongly than Conjugated Linoleic Acids-Chemometric Approach to Cardio-Oncological Studies

The aim of the study was to verify in a cardio-oncological model experiment if conjugated linoleic acids (CLA) fed to rats with mammary tumors affect the content of selected macro- and microelements in their myocardium. The diet of Sprague–Dawley females was supplemented either with CLA isomers or with safflower oil. In hearts of rats suffering from breast cancer, selected elements were analyzed with a quadrupole mass spectrometer with inductively coupled plasma ionization (ICP-MS). In order to better understand the data trends, cluster analysis, principal component analysis and linear discriminant analysis were applied. Mammary tumors influenced macro- and microelements content in the myocardium to a greater extent than applied diet supplementation. Significant influences of diet (p = 0.0192), mammary tumors (p = 0.0200) and interactions of both factors (p = 0.0151) were documented in terms of Fe content. CLA significantly decreased the contents of Cu and Mn (p = 0.0158 and p = 0.0265, respectively). The level of Ni was significantly higher (p = 0.0073), which was more pronounced in groups supplemented with CLA. The obtained results confirmed antioxidant properties of CLA and the relationship with Se deposition. Chemometric techniques distinctly showed that the coexisting pathological process induced differences to the greater extent than diet supplementation in the elemental content in the myocardium, which may impinge on cardiac tissue’s susceptibility to injuries.     

Rapid and Nondestructive Analysis of Bacillus Calmette–Guerin Polysaccharide Nucleic Acid Injection by near-Infrared Spectroscopy with Chemometrics

A novel quantitative analytical method using near-infrared (NIR) spectroscopy combined with chemometrics has been developed to determine the polysaccharides and nucleic acids for routine quality analysis of Bacillus Calmette–Guerin polysaccharide and nucleic acid injections. A Monte-Carlo method was used to detect and discard outliers and to improve the predictive ability of the model. Various other spectral preprocessing methods such as smoothing, derivative, multiplicative scattering correction, standard normal variables, and orthogonal signal correction methods were used to remove noise and other irrelevant information from the spectra. Sample-set partitioning based on joint x–y distance method was utilized to divide the sample measurements into calibration and validation datasets. The optimal wavelength variables were determined by competitive adaptive weighted sampling. The model was established and cross-validated using partial least square regression. The root mean square errors of cross-validation for polysaccharides and nucleic acids were determined to be 0.0382 and 5.218, and the root mean square errors of prediction were 0.0229 and 6.282. The overall results show that NIR spectroscopy combined with chemometry is effective for the quantitative analysis of Bacillus Calmette–Guerin polysaccharide and nucleic acid injections.