A fast and direct spectrophotometric method for the simultaneous determination of methyl paraben and hydroquinone in cosmetic products using successive projections algorithm.

OBJECTIVE: To develop a simple and efficient spectrophotometric technique combined with chemometrics for the simultaneous determination of methyl paraben (MP) and hydroquinone (HQ) in cosmetic products, and specifically, to: (i) evaluate the potential use of successive projections algorithm (SPA) to derivative spectrophotometric data in order to provide sufficient accuracy and model robustness and (ii) determine MP and HQ concentration in cosmetics without tedious pre-treatments such as derivatization or extraction techniques which are time-consuming and require hazardous solvents. METHODS: The absorption spectra were measured in the wavelength range of 200-350 nm. Prior to performing chemometric models, the original and first-derivative absorption spectra of binary mixtures were used as calibration matrices. Variable selected by successive projections algorithm was used to obtain multiple linear regression (MLR) models based on a small subset of wavelengths. The number of wavelengths and the starting vector were optimized, and the comparison of the root mean square error of calibration (RMSEC) and cross-validation (RMSECV) was applied to select effective wavelengths with the least collinearity and redundancy. Principal component regression (PCR) and partial least squares (PLS) were also developed for comparison. The concentrations of the calibration matrix ranged from 0.1 to 20 µg mL(-1) for MP, and from 0.1 to 25 µg mL(-1) for HQ. The constructed models were tested on an external validation data set and finally cosmetic samples. RESULTS: The results indicated that successive projections algorithm-multiple linear regression (SPA-MLR), applied on the first-derivative spectra, achieved the optimal performance for two compounds when compared with the full-spectrum PCR and PLS. The root mean square error of prediction (RMSEP) was 0.083, 0.314 for MP and HQ, respectively. To verify the accuracy of the proposed method, a recovery study on real cosmetic samples was carried out with satisfactory results (84-112%). CONCLUSION: The proposed method, which is an environmentally friendly approach, using minimum amount of solvent, is a simple, fast and low-cost analysis method that can provide high accuracy and robust models. The suggested method does not need any complex extraction procedure which is time-consuming and requires hazardous solvents.

Food identification by high performance liquid chromatography fingerprinting and mathematical processing.

Food fingerprinting methods comprise a wide range of analytical strategies for obtaining analytical signals such as spectra or chromatograms that can be related to the composition of foodstuffs. Mathematical processing of fingerprints in such signals allows some foodstuffs to be characterized and/or authenticated. This paper deals at length with food identification by High Performance Liquid Chromatography in combination with mathematical processing. Also, it discusses existing approaches to the integrated acquisition of chromatographic signals and chemometric processing of chromatographic data, and illustrates the uses of fingerprinting methods for different types of foodstuffs.

Molecular evidence of mixed P. vivax and P. falciparum infections in northern Islamic Republic of Iran.

This study compared basic microscopy with molecular detection of Plasmodium species. According to thick-film microscopy, 100% of 142 malaria cases in Pars-Abad, Ardebil province, were infected with a single species, P vivax. However, nested polymerase chain reaction (PCR) detected mixed species infections of both P. vivax and P. falciparum in 7.0%. In Mazanderan province, 2/20 blood films were diagnosed with only P. falciparum and 18/20 with only P. vivax. However, nested PCR detected 17/20, 2/20 and 1/20 with P. vivax only, P. falciparum only and mixed species respectively. The unexpected presence of P. falciparum urges prompt investigation and immediate treatment of malaria cases in this region.

Molecular evidence of mixed P. vivax and P. falciparum infections in northern Islamic Republic of Iran

This study compared basic microscopy with molecular detection of Plasmodium species. According to thick-film microscopy, 100% of 142 malaria cases in Pars-Abad, Ardebil province, were infected with a single species, P vivax. However, nested polymerase chain reaction [PCR] detected mixed species infections of both P. vivax and P. falciparum in 7.0%. In Maz and eran province, 2/20 blood films were diagnosed with only P. falciparum and 18/20 with only P. vivax. However, nested PCR detected 17/20, 2/20 and 1/20 with P. vivax only, P. falciparum only and mixed species respectively. The unexpected presence of P. falciparum urges prompt investigation and immediate treatment of malaria cases in this region