Claudete Fernandes Pereira

A comparative study of calibration transfer methods for determination of gasoline quality parameters in three different near infrared spectrometers

This work presents a comparative study of calibration transfer among three near infrared spectrometers for determination of naphthenes and RON (Research Octane Number) in gasoline. Seven transfer methods are compared: direct standardization (DS), piecewise direct standardization (PDS), orthogonal signal correction (OSC), reverse standardization (RS), piecewise reverse standardization (PRS), slope and bias correction (SBC) and model updating (MU). Two pre-treatment procedures, namely standard normal variate (SNV) and multiplicative scatter correction (MSC), are also investigated. The choice of an appropriate number of transfer samples for each technique, as well as the effect of window size in PDS/PRS and OSC components, are discussed. A broad set of gasoline samples representative of the Northeastern states of Brazil is employed in the investigation. The results show that the use of calibration transfer yields prediction errors comparable to those obtained with complete recalibration of the secondary instrument. Overall, the results point to RS as the best method for the analytical problem under consideration. When storage and/or physical transportation of transfer samples are impractical, MU is more appropriate. The comprehensive investigation carried out in the present work will be of value for practitioners involved in networks of fuel monitoring.

Portable near-infrared instruments: Application for quality control of polymorphs in pharmaceutical raw materials and calibration transfer

HIGHLIGHTSEvaluation of three portable NIR instruments for quantifying MBZ polymorphs.Comparative study to NIR benchtop instrument for quantifying MBZ polymorphs.Performance of calibration transfer between benchtop and portable instrument.Method is a flexible, easy, cheap and fast way for quantifying MBZ polymorphs. ABSTRACT This work presents an evaluation of the analytical performance of three different portable near‐infrared (NIR) instruments (denominated Port.1, Port.2 and Port.3) for quantifying mebendazole polymorphs (A, B and C) in pharmaceutical raw materials using multivariate calibration models. The performance of the portable instruments was compared with a benchtop one (FT‐NIR Frontier spectrometer). In addition, calibration transfer between the benchtop and one of the portable instruments was also performed. For polymorph A, the Port.1 presented the lowest RMSEP value (1.01% w/w) even when compared to the FT‐NIR instrument. For polymorphs B and C, the same Port.1 instrument presented RMSEP values of 2.09% w/w and 2.41% w/w, respectively, which were statistically similar to those obtained with the benchtop instrument. The LOD ranges (3.9–5.5 for polymorph A, 3.6–5.1 for polymorph B and 5.7–7.7 for polymorph C) obtained with the Port.1 was higher than those achieved with the benchtop NIR instrument, with high spectral resolution, signal‐to‐noise ratio and better wavelength reproducibility. Calibration transfer was performed between the benchtop NIR and Port.1 instruments. According to the results, the transferability of models is possible. The results obtained for complete recalibration of the portable instrument and those for the benchtop are comparable. The methods developed demonstrated a flexible, easy, cheap and fast way for quality control of MBZ polymorphs in incoming material, mainly in pharmaceutical laboratory chains.

Quantitative analysis of mebendazole polymorphs in pharmaceutical raw materials using near-infrared spectroscopy

This work evaluates the feasibility of using NIR spectroscopy for quantification of three polymorphs of mebendazole (MBZ) in pharmaceutical raw materials. Thirty ternary mixtures of polymorphic forms of MBZ were prepared, varying the content of forms A and C from 0 to 100% (w/w), and for form B from 0 to 30% (w/w). Reflectance NIR spectra were used to develop partial least square (PLS) regression models using all spectral variables and the variables with significant regression coefficients selected by the Jack-Knife algorithm (PLS/JK). MBZ polymorphs were quantified with RMSEP values of 2.37% w/w, 1.23% w/w and 1.48% w/w for polymorphs A, B and C, respectively. This is an easy, fast and feasible method for monitoring the quality of raw pharmaceutical materials of MBZ according to polymorph purity.

Comprehensive near infrared study of Jatropha oil esterification with ethanol for biodiesel production

This work presents a comprehensive near infrared study for in-line monitoring of the esterification reaction of high acid oils, such as Jatropha curcas oil, using ethanol. Parallel reactions involved in the process were carried out to select a spectral region that characterizes the evolution of the esterification reaction. Using absorbance intensities at 5176cm(-1), the conversion and kinetic behaviors of the esterification reaction were estimated. This method was applied to evaluate the influence of temperature and catalyst concentration on the estimates of initial reaction rate and ester conversion as responses to a 2(2) factorial experimental design. Employment of an alcohol/oil ratio of 16:1, catalyst concentration of 1.5% w/w, and temperatures at 65°C or 75°C, made it possible to reduce the initial acidity from 18% to 1.3% w/w, which is suitable for transesterification of high free fatty acid oils for biodiesel production. Using the proposed analytical method in the esterification reaction of raw materials with high free fatty acid content for biodiesel makes the monitoring process inexpensive, fast, simple, and practical.

High sucrolytic activity by invertase immobilized onto magnetic diatomaceous earth nanoparticles

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Comparison of macro and micro Raman measurement for reliable quantitative analysis of pharmaceutical polymorphs

HIGHLIGHTSAnalytical Quantitative Analysis.Polymorph Analysis.Raman Spectroscopy Analysis.Quality Analysis. ABSTRACT This work reports on the use of micro‐ and macro‐Raman measurements for quantification of mebendazole (MBZ) polymorphs A, B, and C in mixtures. Three Raman spectrophotometers were studied with a laser spot size of 3, 80 and 100&mgr;m and spectral resolutions of 3.9, 9 and 4cm−1, respectively. The samples studied were ternary mixtures varying the MBZ polymorphs A and C from 0 to 100% and polymorph B from 0 to 30%. Partial Least Squares (PLS) regression models were developed using the pre‐processing spectra (2nd derivative) of the ternary mixtures. The best performance was obtained when the macro‐Raman configuration was applied, obtaining RMSEP values of 1.68%, 1.24% and 2.03% w/w for polymorphs A, B, and C, respectively. In general, micro‐Raman presented worst results for MBZ polymorphs prediction because the spectra obtained with this configuration does not represent the bulk proportion of mixtures, which have different particle morphologies and sizes. In addition, the influence of these particle features on micro‐Raman measurements was also studied. Finally, the results demonstrated that reliable analytical quantifying of MBZ polymorphs can be reached using a laser with wider area illuminated, thus enabling acquisition of more reproductive and representative spectra of the mixtures.

Authenticity assessment of banknotes using portable near infrared spectrometer and chemometrics

Spectra recorded using a portable near infrared (NIR) spectrometer, Soft Independent Modeling of Class Analogy (SIMCA) and Linear Discriminant Analysis (LDA) associated to Successive Projections Algorithm (SPA) models were applied to identify counterfeit and authentic Brazilian Real (R

Quantification of biodiesel and adulteration with vegetable oils in diesel/biodiesel blends using portable near-infrared spectrometer

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Red wines from South America: Content of phenolic compounds and chemometric distinction by origin

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Multivariate quantification of mebendazole polymorphs by terahertz time domain spectroscopy (THZ-TDS)

100) banknotes, enabling a simple field analysis. NIR spectra (950-1650nm) were recorded from seven different areas of the banknotes (two with fluorescent ink, one over watermark, three with intaglio printing process and one over the serial numbers with typography printing). SIMCA and SPA-LDA models were built using 1st derivative preprocessed spectral data from one of the intaglio areas. For the SIMCA models, all authentic (300) banknotes were correctly classified and the counterfeits (227) were not classified. For the two classes SPA-LDA models (authentic and counterfeit currencies), all the test samples were correctly classified into their respective class. The number of selected variables by SPA varied from two to nineteen for R