A. Arias-Borrego

Comparative study of electrospray and photospray ionization sources coupled to quadrupole time-of-flight mass spectrometer for olive oil authentication

The use of fast and reliable analytical procedures for olive oil authentication is a priority demand due to its wide consumption and healthy benefits. Olive oil adulteration with other cheaper vegetable oils is a common practice that has to be detected and controlled. Rapid screening methods based on high resolution tandem mass spectrometry constitute today the option of choice due to sample handling simplicity and the elimination of the chromatographic step. The selection of the ionization source is critical and the comparison of their reliability necessary. The possibilities of the direct infusion electrospray ionization (ESI) and the recently introduced atmospheric pressure photospray ionization source (APPI), coupled to quadrupole time-of-flight (QqTOF), have been critically studied and compared to control olive oil adulteration. These techniques are very rapid (approximately 1min per sample) and have high discrimination power to elucidate key components in the edible oils studied (olive, hazelnut, sunflower and corn). Nevertheless, both sources are complementary, being APPI more sensitive for monoacyl- and diacylglycerol fragment ions and ESI for triacylglycerols. In addition, methods reproducibilitys are very high, especially for APPI source. Mixtures of olive oil with the others vegetable oils can be easily discriminated which has been tested by using principal components analysis (PCA) with both ESI-MS and APPI-MS spectra. Analogously, linear discriminant analysis (LDA) confirms methods reproducibility and detection of other oils used as adulterants, in particular hazelnut oil, which is especially difficult given its chemical similarity with olive oil.

Iodine speciation in iodine-enriched microalgae Chlorella vulgaris

The characterization of iodine species in the microalgae Chlorella vulgaris after cultivation with different potassium iodide concentrations was performed using the coupling of multidimensional chromatography (size exclusion chromatography, SEC, and anion exchange chromatography, AEC) with inductively coupled plasma-mass spectrometry (ICP-MS) detection. Two iodine fractions, water-soluble and macromolecular fractions, were obtained using a sequential extraction scheme based on chemical reagents. Most iodine species separated from the water-soluble fraction with SEC-ICP-MS (mass range from 0.5 to 100 kDa) are present in inorganic forms (peak III), although the other two peaks were detected (peaks I and II). The application of AEC to the isolated peak III fraction allows the characterization of IO3– (about 25 %) and I– (about 75 %). The application of SEC-ICP-MS (mass range from 10 to 1200 kDa) to the macromolecular fraction reveals the presence of four peaks from the void volume to about 67 kDa, a peak is located about 600 kDa. The mass balance of iodine in the different fractions obtained from the microalgae raw stuff shows that the water-soluble fraction represents 66.7 % of total iodine in microalgae, but the macromolecular fraction only contains 13.3 %, both summing up for 79.9 % of the total amount of iodine, which confirms the suitability of the separation scheme. Further studies have to be focused on the purification of the isolated fractions and their identification by tandem MS.

Metallomics integrated with proteomics in deciphering metal-related environmental issues.

The present work shows the possibilities of metallomics to characterize metal-linking proteins in Mus Musculus that could be used in environmental assessment. The laboratory mouse M. musculus is used as reference of gene/protein sequence databases to address methodological approaches based on changes in transcripts regulation, proteins expression and metalloproteins profiles in the environmental bioindicator Mus spretus that has been demonstrated to be genetically homologous to M. Musculus. A metallomic approach using size exclusion chromatography with inductively coupled plasma-mass spectrometry detection (SEC-ICP-MS) was applied to cytosolic extracts from different M. musculus organs: lung, liver, spleen, kidney, brain, testicle, hearth and muscle. The resulting profiles of metallobiomolecules revealed the presence of a Cu-binding fraction in the 7-10 kDa range which was not present in the other tissues, can be associated to low molecular mass metallothionein-like proteins. The application of reverse phase chromatography with ICP-MS detection to this fraction gives two peaks that have been isolated for later identification by tandem mass spectrometry. The mass balance of copper evaluated by ICP-MS analysis of the digested brain fractions isolated by SEC and RP chromatography reveals good recoveries of the separations. The application of 2-DE to both crude brain extract and SEC fraction (7-10 kDa) reveals the considerably reduction of the number of proteins confirming that a good purification has been attained by SEC. This integration of metallomics with proteomics and transcriptomics can be useful in further studies involving the free-living mouse M. spretus for assessment of environmental issues.

Speciation of manganese binding to biomolecules in pine nuts (Pinus pinea) by two-dimensional liquid chromatography coupled to ultraviolet and inductively coupled plasma mass spectrometry detectors followed by identification by electrospray ionization mass spectrometry.

Advances in analytical methodology for speciation of manganese in pine nuts are presented in this work. The approach is based on the use of orthogonal chromatographic systems, namely size-exclusion chromatography (SEC) of the extracts and strong anion exchange (IEC) of the fractions collected by the first column. In both columns, manganese elution is first monitored by a quadrupole inductively coupled plasma mass spectrometry (ICP-MS) instrument equipped with an octopole reaction cell and an ultraviolet (UV) detector. SEC is performed by using two columns covering the molecular weight range from <10 to 70 kDa that allows an initial screening of the molecular weight of the Mn species. The higher resolution capability of the low molecular weight range column is the reason to use the latter for further experiments. The fraction from SEC-ICP-MS in which Mn is present at highest concentration is submitted to IEC-ICP-MS allowing Mn-citrate and MnCl(2) identification by retention time matching with standards. The concentration of these species is estimated to be 75 and 125 microg kg(-1) (as Mn), respectively, in the pine nuts samples and the presence of Mn-citrate is confirmed by nanoelectrospray ionization quadrupole time-of-flight mass spectrometry (nESI-QqTOF-MS). In the same fraction, a third Mn-containing peak is detected in the IEC-UV-ICP-MS chromatogram. This peak corresponds to a protein containing Mn that was later submitted to a tryptic digestion and analyzed by nESI-QqTOF. The MS/MS data of a doubly charged peptide are used to obtain the sequence of the protein with the Mascot search engine. The peak turned out to be isocitrate dehydrogenase, a protein commonly associated with Mn.

Application of hollow fiber liquid phase microextraction for simultaneous determination of regulated and emerging iodinated trihalomethanes in drinking water

Trihalomethanes (THMs) are regulated disinfection by-products (DBPs) most commonly analyzed in quality control water supply due to their harmful effects on health. However, few data exist about the content of emerging iodo-trihalomethanes (I-THMs) which are present in drinking water at very low concentrations (in the order of ngL(-1)). For this reason a two-phase hollow fiber liquid phase microextraction method for the simultaneous determination of four regulated trihalomethanes and six emerging iodo-trihalomethanes using GC-μECD and GC-MS with detection limits in the range of few ngL(-1) has been developed. A central composite design was used to optimize conditions for simultaneous extraction. The best extraction recovery was obtained with 19.2min at 27.1°C and 900rpm, without salt addition, using a supported hollow fiber membrane of 10.5cm (0.6mm id) and 1-octanol as acceptor phase. The limits of detection for the regulated THMs and I-THMs were 3-44ngL(-1) and 1-3ngL(-1), respectively. The calibration curves showed good linearity (R(2)>0.995) and good repeatibility (3-22%). The relative recoveries in water were between 96.5% and 105.2%. The method was applied for the simultaneous determination of trihalomethanes in supply water samples from seven water distribution systems (WDS) in the Huelva area, located at the southwest Spain, which use different water-treatment processes. The highest concentrations of I-THMs, particularly CHBrClI and CHCl2I, were detected in water treated with advanced treatment process using pre-ozonation, however these compounds were not detected or decreased along distribution system. In the samples of treated water with conventional treatment, using pre-oxidation by permanganate and distribution network, CHCl2I, CHBrClI, CHClI2, CHBrI2 and CHI3 were detected at very low concentrations (1-18ngL(-1)). Finally, in water samples from underground origin without oxidation treatment, in which only disinfection with sodium hypochlorite was applied, I-THMs were not detected.

Seasonal and spatial evolution of trihalomethanes in a drinking water distribution system according to the treatment process.

This paper comparatively shows the influence of four water treatment processes on the formation of trihalomethanes (THMs) in a water distribution system. The study was performed from February 2005 to January 2012 with analytical data of 600 samples taken in Aljaraque water treatment plant (WTP) and 16 locations along the water distribution system (WDS) in the region of Andévalo and the coast of Huelva (southwest Spain), a region with significant seasonal and population changes. The comparison of results in the four different processes studied indicated a clear link of the treatment process with the formation of THM along the WDS. The most effective treatment process is preozonation and activated carbon filtration (P3), which is also the most stable under summer temperatures. Experiments also show low levels of THMs with the conventional process of preoxidation with potassium permanganate (P4), delaying the chlorination to the end of the WTP; however, this simple and economical treatment process is less effective and less stable than P3. In this study, strong seasonal variations were obtained (increase of THM from winter to summer of 1.17 to 1.85 times) and a strong spatial variation (1.1 to 1.7 times from WTP to end points of WDS) which largely depends on the treatment process applied. There was also a strong correlation between THM levels and water temperature, contact time and pH. On the other hand, it was found that THM formation is not proportional to the applied chlorine dose in the treatment process, but there is a direct relationship with the accumulated dose of chlorine. Finally, predictive models based on multiple linear regressions are proposed for each treatment process.

A two-stage predictive model to simultaneous control of trihalomethanes in water treatment plants and distribution systems: adaptability to treatment processes

The trihalomethanes (TTHMs) and others disinfection by-products (DBPs) are formed in drinking water by the reaction of chlorine with organic precursors contained in the source water, in two consecutive and linked stages, that starts at the treatment plant and continues in second stage along the distribution system (DS) by reaction of residual chlorine with organic precursors not removed. Following this approach, this study aimed at developing a two-stage empirical model for predicting the formation of TTHMs in the water treatment plant and subsequently their evolution along the water distribution system (WDS). The aim of the two-stage model was to improve the predictive capability for a wide range of scenarios of water treatments and distribution systems. The two-stage model was developed using multiple regression analysis from a database (January 2007 to July 2012) using three different treatment processes (conventional and advanced) in the water supply system of Aljaraque area (southwest of Spain). Then, the new model was validated using a recent database from the same water supply system (January 2011 to May 2015). The validation results indicated no significant difference in the predictive and observed values of TTHM (R2 0.874, analytical variance <17%). The new model was applied to three different supply systems with different treatment processes and different characteristics. Acceptable predictions were obtained in the three distribution systems studied, proving the adaptability of the new model to the boundary conditions. Finally the predictive capability of the new model was compared with 17 other models selected from the literature, showing satisfactory results prediction and excellent adaptability to treatment processes.