Person: Cáceres, Jorge Omar
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First Name
Jorge Omar
Last Name
Cáceres
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Ciencias Químicas
Department
Química Analítica
Area
Química Analítica
Identifiers
6 results
Search Results
Now showing 1 - 6 of 6
Item Evaluating urban indoor and outdoor PM10-bound organochlorine pesticides. Air quality status and health impact(Building and Environment, 2023) Galán-Madruga, David; Cárdenas-Escudero, Jafet; Broomandi, Parya; Cáceres, Jorge Omar; González, María del CarmenPM10-bound OCPs were collected simultaneously for a year at an outdoor and indoor location in Madrid City, Spain. They were extracted by accelerated solvent extraction and quantified by GC/EM. The aim was to solve the lack of scientific information concerning that environmental scenery by acquiring knowledge on air quality status and health impact. Outdoor and indoor air annual average PM10‐bound ƩOCPs concentration was 684.81 and 721.72 pg/m3, with significant contribution of the molecular weight OCPs lower than 400 g/mol. Hexachlorobenzene and dieldrin displayed the highest concentrations individually, whereas heptachlor and 2,4′-DDD and 2,4′-DDT were the lowest ones. Although higher OCPs concentrations in the cold than warm period were determined, a high outdoor vs indoor correlation was observed over the entire study (r = 0.999). The more representative OCPs within the target air mixtures drove to hexachlorobenzene (outdoor and indoor air) in addition to mirex (outdoor) and 4,4′-DDE (indoor). I/O air pollutant ratios were higher than one for all target compounds except for dieldrin. Whereas the estimated carcinogenic risk falls within the acceptable range set by the US‐EPA (<10−4) for each target pollutant, except for outdoor dieldrin (winter and spring), the accumulated seasonal levels are above the acceptable risk in outdoor (for all seasons) and indoor (winter and spring). Although the use of OCPs has been banned in preterit times, their assessment should still be addressed to know outdoor and indoor human exposure to these pollutants and to adopt efficient remediation measures.Item FTIR-ATR detection method for emerging C3-plants-derivated adulterants in honey: Beet, dates, and carob syrups(Talanta, 2023) Jafet Cárdenas-Escudero; David Galán-Madruga; Cáceres, Jorge OmarThe European Union Publications Office has recently presented a report on the European Union’s coordinated action with the Joint Research Centre to determine certain fraudulent practices in the honey sector, in which it has been indicated that 74% of the samples analyzed, imported from China, and 93% of the samples analyzed, imported from Turkey, the two largest honey producers worldwide, presented at least one indicator of exogenous sugar or suspicion of being adulterated. This situation has revealed the critical state of the problem of honey adulteration worldwide and the need to develop analytical techniques for its detection. Even though the adulteration of honey is carried out in a general way with sweetened syrups derived from C4 plants, recent studies have indicated the emerging use of syrups derived from C3 plants for the adulteration of honey. This kind of adulteration makes it impossible to analyze its detection using official analysis techniques. In this work, we have developed a fast, simple, and economical method based on the Fourier transform infrared spectroscopy technique, with attenuated total reflectance, for the qualitative, quantitative, and simultaneous determination of beetroot, date, and carob syrups, derived from of C3 plants; whose available bibliography is very scarce and analytically not very conclusive for its use by the authorities. The proposed method has been based on the establishment of the spectral differences between honey and the mentioned syrups at eight different points in the spectral region between 1200 and 900 cm− 1 of the mid-infrared, characteristic of the vibrational modes of carbohydrates in honey, which allows the pre-discrimination of the presence or absence of the syrups studied, and their subsequent quantification, with precision levels lower than 2.0% of the relative standard deviation and relative errors lower than 2.0% (m/m).Item Megapixel multi-elemental imaging by Laser-Induced Breakdown Spectroscopy, a technology with considerable potential for paleoclimate studies(Nature Scientific Reports, 2017) Cáceres, Jorge Omar; Pelascini, F.; Motto-Ros, V.; Moncayo, Samuel; Trichard, F.; Panczer, G.; Marín Roldán, A.; Cruz, J.A; Coronado, I.; Martín Chivelet, JavierPaleoclimate studies play a crucial role in understanding past and future climates and their environmental impacts. Current methodologies for performing highly sensitive elemental analysis at micrometre spatial resolutions are restricted to the use of complex and/or not easily applied techniques, such as synchrotron radiation X-ray fluorescence micro-analysis (μ-SRXRF), nano secondary ion mass spectrometry (nano-SIMS) or laser ablation inductively coupled plasma mass spectrometry (LAICP-MS). Moreover, the analysis of large samples (>few cm²) with any of these methods remains very challenging due to their relatively low acquisition speed (~1–10 Hz), and because they must be operated in vacuum or controlled atmosphere. In this work, we proposed an imaging methodology based on laser-induced breakdown spectroscopy, to perform fast multi-elemental scanning of large geological samples with high performance in terms of sensitivity (ppm-level), lateral resolution (up to 10 μm) and operating speed (100 Hz). This method was successfully applied to obtain the first megapixel images of large geological samples and yielded new information, not accessible using other techniques. These results open a new perspective into the use of laser spectroscopy in a variety of geochemical applications.Item A Review of Atmospheric Aerosols in Antarctica: From Characterization to Data Processing(Atmosphere, 2022) Anzano, Jesus; Abás, Elisa; Marina-Montes, César; Del Valle, Javier; Galán-Madruga, David; Laguna, Mariano; Cabredo, Susana; Pérez-Arribas, Luis Vicente; Cáceres, Jorge Omar; Anwar, JamilOne of the major problems of the present era is air pollution, not only for its impact on climate change but also for the diseases provoked by this scourge. Among the most concerning air pollutants is particulate matter, since it can travel long distances and affect the entire globe. Antarctica is extremely sensitive to climate change and essential for regulating temperature and permitting life on Earth. Therefore, air quality studies in this region are extremely important. The aim of this review is to present the work conducted on the identification and detection of aerosols and particulate matter in the Antarctic region in the last 20 years. These studies revealed a large number of organic and inorganic species. Organochlorine pesticides or polychlorinated biphenyls represent almost 50% of the organic fraction detected in Antarctica. Furthermore, heavy metals such as Hg and Pb were also found in the region related to anthropogenic activities. To summarize, this work detailed different analytical techniques and data processing to help characterize Antarctic aerosols and their potential sources..Item Statistical Tools for Air Pollution Assessment: Multivariate and Spatial Analysis Studies in the Madrid Region(Journal of Analytical Methods in Chemistry, 2019) Núñez Alonso, David; Pérez Arribas, Luis Vicente; Manzoor, Sadia; Cáceres, Jorge OmarThe present work reports the distribution of pollutants in the Madrid city and province from 22 monitoring stations during 2010 to 2017. Statistical tools were used to interpret and model air pollution data. The data include the annual average concentrations of nitrogen oxides, ozone, and particulate matter (PM10), collected in Madrid and its suburbs, which is one of the largest metropolitan places in Europe, and its air quality has not been studied sufficiently. A mapping of the distribution of these pollutants was done, in order to reveal the relationship between them and also with the demography of the region. The multivariate analysis employing correlation analysis, principal component analysis (PCA), and cluster analysis (CA) resulted in establishing a correlation between different pollutants. The results obtained allowed classification of different monitoring stations on the basis of each of the four pollutants, revealing information about their sources and mechanisms, visualizing their spatial distribution, and monitoring their levels according to the average annual limits established in the legislation. The elaboration of contour maps by the geostatistical method, ordinary kriging, also supported the interpretation derived from the multivariate analysis demonstrating the levels of NO2 exceeding the annual limit in the centre, south, and east of the Madrid province.Item Rapid, reliable and easy-to-perform chemometric-less method for rice syrup adulterated honey detection using FTIR-ATR(Talanta, 2023) Cárdenas Escudero, Jafet; Galán Madruga, David; Cáceres, Jorge OmarThe adulteration of honey (Apis mellifera) is a global problem due to its economic, commercial and health implications. The world's leading beekeeping organisation, APIMONDIA, considers that the detection of adulteration in honey is a problem that has not yet been resolved. This evidence of the importance of the intensive development of analytical techniques that allow the unequivocal detection of adulterants in honey, especially those whose use as honey adulterants has recently emerged. This work aims to develop a fast, easy-to-perform, low-cost analytical method to qualitatively and quantitatively determine rice syrup using the Fourier transform infrared spectroscopy (FTIR) technique with attenuated total reflectance (ATR) mode without complex mathematical procedures and sophisticated sample preparation. This study involved the analysis of 256 intentionally rice-syrup-adulterated honey samples and 92 pure honey samples of bee multifloral honey from Spain. The method, based strictly on the determination of the absorbance directly from the samples, at 1013 cm−1 The methodology used no need for previous treatments or preparations and demonstrated the scope for the unequivocal detection of rice syrup in adulterated honey containing equal to or higher than 3% (m/m) or more of this adulterant. Using the Exponential Plus Linear model (r = 0.998) shows high accuracy and precision, in terms of relative error (0.32%, m/m) and coefficient of variation (1.4%). The results of this study have led to the establishment of a maximum absorbance threshold of 0.670 for honey without rice syrup.