Different moments in the participatory stage of the secondary students’ abstraction of mathematical conceptions

This study provides support to the characteristics of participatory and anticipatory stages in secondary school pupils’ abstraction of mathematical conceptions. We carried out clinical task-based interviews with 71 secondary-school pupils to obtain evidence of the different constructed mathematical conceptions (Participatory Stage) and how they were used (Anticipatory Stage). We distinguish two moments in the Participatory Stage based on the coordination of information from particular cases by activity-effect reflection which, in some cases, lead to a change of focus enabling secondary-school pupils to achieve a reorganization of their knowledge. We argue that (a) the capacity of perceiving regularities in sets of particular cases is a characteristic of activity-effect reflection in the abstraction of mathematical conceptions in secondary school, and (b) the coordination of information by pupils provides opportunities for changing the attention-focus from the particular results to the structure of properties

Red or Blue? Gold Nanoparticles in Colorimetric Sensing

Gold nanoparticles (AuNPs) have been extensively used for the design of colorimetric sensors and probes due to their interesting photophysical properties. In particular, their surface plasmon resonance (SPR) is influenced not only by the size but also by the shape or the properties of the matrix surrounding the nanoparticles. This SPR band is sensitive to the proximity of other nanoparticles, and thus, analyte-triggered aggregation of AuNPs results in an important bathochromic shift of the SPR band and a change in the color of the solution from red to blue due to interparticle surface plasmon coupling. The selectivity of the AuNPs-based sensors toward the different analytes will depend on the recognition properties of the molecules attached to the surface of the nanoparticles. In this chapter, a selection of biologically active molecules has been considered as analytes: neurotransmitters, nerve agents, pesticides, and carboxylates of biological interest

BODIPY Core as Signaling Unit in Chemosensor Design

BODIPY derivatives possess unique photophysical properties and for these reasons, they have been used in numerous fields. Among the different applications, they are used in designing chemosensors that has increased in the last years. Here, we report several strategies and examples for detecting analytes of different characteristics: cations, anions, and hazardous and pollutant neutral molecules using BODIPY core as signaling unit

Construcción del concepto múltiplo común en el dominio de los números naturales

El objetivo de esta investigación fue caracterizar el proceso de construcción del concepto de múltiplo común de dos números naturales como parte del esquema de divisibilidad en estudiantes de educación secundaria. A partir de un análisis cualitativo de entrevistas clínicas en las que los estudiantes resolvían y justificaban su proceso de resolución de un problema, identificamos dos momentos cognitivos en el proceso constructivo del concepto de múltiplo común generado durante la resolución del problema. Estos momentos fueron caracterizados teniendo en cuenta cómo los estudiantes generaban casos particulares y coordinaban o no la información procedente de éstos. Esta caracterización proporciona información sobre cómo los estudiantes empiezan a concebir que un número pueda adoptar diferentes papeles en las relaciones multiplicativas del esquema de divisibilidad como parte constituyente del aprendizaje de los números.The purpose of this research was to characterize the construction process of common multiple of two whole numbers as a part of divisibility scheme in Secondary School students. From the analysis of clinical interviews with Secondary School students when solving a word-problem and justifying their decisions, we identify two cognitive moments in the constructive process generated in some cases in the context of problem solving. These cognitive moments were characterized regarding how students generated particular cases and were or were not able to coordinate the information arising from them. The characterization provides us with information about the way in which students begin to conceive that a number can play different roles in the divisibility scheme

Low Adherence to the Mediterranean Diet Is Associated with Poor Socioeconomic Status and Younger Age: A Cross-Sectional Analysis of the EpiDoC Cohort

Funding: This research was funded by Fundação Ciência e Tecnologia, IP national support through CHRC (UIDP/04923/2020) and through FrailcareAI (DSAIPA/AI/0106/2019).The Mediterranean diet (MD) is recognized as one of the healthiest dietary patterns as it has been consistently associated with several beneficial health outcomes. Adherence to the MD pattern has been decreasing in southern European countries for the last decades, especially among low socioeconomic groups. The aim of this study was to assess the adherence to the MD in Portugal, to evaluate regional differences, and explore associated factors (sociodemographic, economic, and lifestyles behaviors). This study used the third data collection wave of the Epidemiology of Chronic Diseases Cohort Study (EpiDoC 3). MD adherence was assessed using the Portuguese-validated MD adherence score (MEDAS) questionnaire. Non-adjusted and adjusted logistic regression models were used to assess the risk factors for low MD adherence and individual MEDAS items. In this cross-sectional evaluation of the EpiDoC 3 cohort study (n = 5647), 28.8% of the Portuguese population had low adherence to a MD. Azores and Madeira had lower adherence to the MD than the rest of the country. Younger individuals in lower income categories (e.g., ORfinding it very difficult = 1.48; 95% CI 1.16–1.91) and with a lower educational level (e.g., OR0–4 years = 2.63; 95% CI 2.09–3.32) had higher odds of having a lower adherence to the MD. Portuguese adults have a high prevalence of low adherence to the MD, especially among those who are younger and have lower socioeconomic status. Public health policies to promote adherence to the MD should pay special attention to these groups.publishersversionpublishe

A New Environmentally-Friendly Colorimetric Probe for Formaldehyde Gas Detection under Real Conditions

[EN] A new environmentally-friendly, simple, selective and sensitive probe for detecting formaldehyde, based on naturally-occurring compounds, through either colorimetric or fluorescence changes, is described. The probe is able to detect formaldehyde in both solution and the gas phase with limits of detection of 0.24 mM and 0.7 ppm, respectively. The probe has been tested to study formaldehyde emission in contaminated real atmospheres. The supported probe is easy to use and to dispose, and is safe and suitable as an individual chemodosimeter.This research was funded by the Spanish Government (projects MAT2015-64139-C4-4-R and AGL2015-70235-C2-2-R (MINECO/FEDER)) and the Generalitat Valenciana (project PROMETEOII/2014/047).Martínez-Aquino, C.; Costero, AM.; Gil Grau, S.; Gaviña, P. (2018). A New Environmentally-Friendly Colorimetric Probe for Formaldehyde Gas Detection under Real Conditions. Molecules. 23(10). https://doi.org/10.3390/molecules23102646S2310https://mcgroup.co.uk/news/20140627/formaldehyde-production-exceed-52-mln-tonnes.htmlGoris, J. A., Ang, S., & Navarro, C. (1998). Laboratory Safety: Minimizing the Toxic Effects of Formaldehyde. Laboratory Medicine, 29(1), 39-43. doi:10.1093/labmed/29.1.39Luo, W., Li, H., Zhang, Y., & Ang, C. Y. . (2001). Determination of formaldehyde in blood plasma by high-performance liquid chromatography with fluorescence detection. Journal of Chromatography B: Biomedical Sciences and Applications, 753(2), 253-257. doi:10.1016/s0378-4347(00)00552-1ROCHA, F., COELHO, L., LOPES, M., CARVALHO, L., FRACASSIDASILVA, J., DOLAGO, C., & GUTZ, I. (2008). Environmental formaldehyde analysis by active diffusive sampling with a bundle of polypropylene porous capillaries followed by capillary zone electrophoretic separation and contactless conductivity detection. Talanta, 76(2), 271-275. doi:10.1016/j.talanta.2008.02.037Korpan, Y. I., Gonchar, M. V., Sibirny, A. A., Martelet, C., El’skaya, A. V., Gibson, T. D., & Soldatkin, A. P. (2000). Development of highly selective and stable potentiometric sensors for formaldehyde determination. Biosensors and Bioelectronics, 15(1-2), 77-83. doi:10.1016/s0956-5663(00)00054-3Dong, S., & Dasgupta, P. K. (1986). Solubility of gaseous formaldehyde in liquid water and generation of trace standard gaseous formaldehyde. Environmental Science & Technology, 20(6), 637-640. doi:10.1021/es00148a016MITSUBAYASHI, K., NISHIO, G., SAWAI, M., SAITO, T., KUDO, H., SAITO, H., … MARTY, J. (2008). A bio-sniffer stick with FALDH (formaldehyde dehydrogenase) for convenient analysis of gaseous formaldehyde. Sensors and Actuators B: Chemical, 130(1), 32-37. doi:10.1016/j.snb.2007.07.086DEMKIV, O., SMUTOK, O., PARYZHAK, S., GAYDA, G., SULTANOV, Y., GUSCHIN, D., … GONCHAR, M. (2008). Reagentless amperometric formaldehyde-selective biosensors based on the recombinant yeast formaldehyde dehydrogenase. Talanta, 76(4), 837-846. doi:10.1016/j.talanta.2008.04.040Dennison, M. J., Hall, J. M., & Turner, A. P. F. (1996). Direct monitoring of formaldehyde vapour and detection of ethanol vapour using dehydrogenase-based biosensors. The Analyst, 121(12), 1769. doi:10.1039/an9962101769Wang, X., Si, Y., Mao, X., Li, Y., Yu, J., Wang, H., & Ding, B. (2013). Colorimetric sensor strips for formaldehyde assay utilizing fluoral-p decorated polyacrylonitrile nanofibrous membranes. The Analyst, 138(17), 5129. doi:10.1039/c3an00812fPinheiro, H. L. ., de Andrade, M. V., de Paula Pereira, P. A., & de Andrade, J. B. (2004). Spectrofluorimetric determination of formaldehyde in air after collection onto silica cartridges coated with Fluoral P. Microchemical Journal, 78(1), 15-20. doi:10.1016/j.microc.2004.02.017Antwi-Boampong, S., Peng, J. S., Carlan, J., & BelBruno, J. J. (2014). A Molecularly Imprinted Fluoral-P/Polyaniline Double Layer Sensor System for Selective Sensing of Formaldehyde. IEEE Sensors Journal, 14(5), 1490-1498. doi:10.1109/jsen.2014.2298872Xu, Z., Chen, J., Hu, L.-L., Tan, Y., Liu, S.-H., & Yin, J. (2017). Recent advances in formaldehyde-responsive fluorescent probes. Chinese Chemical Letters, 28(10), 1935-1942. doi:10.1016/j.cclet.2017.07.018Brewer, T. F., & Chang, C. J. (2015). An Aza-Cope Reactivity-Based Fluorescent Probe for Imaging Formaldehyde in Living Cells. Journal of the American Chemical Society, 137(34), 10886-10889. doi:10.1021/jacs.5b05340Roth, A., Li, H., Anorma, C., & Chan, J. (2015). A Reaction-Based Fluorescent Probe for Imaging of Formaldehyde in Living Cells. Journal of the American Chemical Society, 137(34), 10890-10893. doi:10.1021/jacs.5b05339Li, J.-B., Wang, Q.-Q., Yuan, L., Wu, Y.-X., Hu, X.-X., Zhang, X.-B., & Tan, W. (2016). A two-photon fluorescent probe for bio-imaging of formaldehyde in living cells and tissues. The Analyst, 141(11), 3395-3402. doi:10.1039/c6an00473cTang, Y., Kong, X., Xu, A., Dong, B., & Lin, W. (2016). Development of a Two-Photon Fluorescent Probe for Imaging of Endogenous Formaldehyde in Living Tissues. Angewandte Chemie International Edition, 55(10), 3356-3359. doi:10.1002/anie.201510373He, L., Yang, X., Liu, Y., Kong, X., & Lin, W. (2016). A ratiometric fluorescent formaldehyde probe for bioimaging applications. Chemical Communications, 52(21), 4029-4032. doi:10.1039/c5cc09796gSingha, S., Jun, Y. W., Bae, J., & Ahn, K. H. (2017). Ratiometric Imaging of Tissue by Two-Photon Microscopy: Observation of a High Level of Formaldehyde around Mouse Intestinal Crypts. Analytical Chemistry, 89(6), 3724-3731. doi:10.1021/acs.analchem.7b00044Song, H., Rajendiran, S., Kim, N., Jeong, S. K., Koo, E., Park, G., … Yoon, S. (2012). A tailor designed fluorescent ‘turn-on’ sensor of formaldehyde based on the BODIPY motif. Tetrahedron Letters, 53(37), 4913-4916. doi:10.1016/j.tetlet.2012.06.117Zhou, Y., Yan, J., Zhang, N., Li, D., Xiao, S., & Zheng, K. (2018). A ratiometric fluorescent probe for formaldehyde in aqueous solution, serum and air using aza-cope reaction. Sensors and Actuators B: Chemical, 258, 156-162. doi:10.1016/j.snb.2017.11.043Chaiendoo, K., Sooksin, S., Kulchat, S., Promarak, V., Tuntulani, T., & Ngeontae, W. (2018). A new formaldehyde sensor from silver nanoclusters modified Tollens’ reagent. Food Chemistry, 255, 41-48. doi:10.1016/j.foodchem.2018.02.030Fauzia, V., Nurlely, Imawan, C., Narayani, N. M. M. S., & Putri, A. E. (2018). A localized surface plasmon resonance enhanced dye-based biosensor for formaldehyde detection. Sensors and Actuators B: Chemical, 257, 1128-1133. doi:10.1016/j.snb.2017.11.031El Sayed, S., Pascual, L., Licchelli, M., Martínez-Máñez, R., Gil, S., Costero, A. M., & Sancenón, F. (2016). Chromogenic Detection of Aqueous Formaldehyde Using Functionalized Silica Nanoparticles. ACS Applied Materials & Interfaces, 8(23), 14318-14322. doi:10.1021/acsami.6b03224Li, Z., Xue, Z., Wu, Z., Han, J., & Han, S. (2011). Chromo-fluorogenic detection of aldehydes with a rhodamine based sensor featuring an intramolecular deoxylactam. Organic & Biomolecular Chemistry, 9(22), 7652. doi:10.1039/c1ob06448gGuglielmino, M., Allouch, A., Serra, C. A., & Calvé, S. L. (2017). Development of microfluidic analytical method for on-line gaseous Formaldehyde detection. Sensors and Actuators B: Chemical, 243, 963-970. doi:10.1016/j.snb.2016.11.093Xia, H., Hu, J., Tang, J., Xu, K., Hou, X., & Wu, P. (2016). A RGB-Type Quantum Dot-based Sensor Array for Sensitive Visual Detection of Trace Formaldehyde in Air. Scientific Reports, 6(1). doi:10.1038/srep36794Feng, L., Musto, C. J., & Suslick, K. S. (2010). A Simple and Highly Sensitive Colorimetric Detection Method for Gaseous Formaldehyde. Journal of the American Chemical Society, 132(12), 4046-4047. doi:10.1021/ja910366pGuo, X.-L., Chen, Y., Jiang, H.-L., Qiu, X.-B., & Yu, D.-L. (2018). Smartphone-Based Microfluidic Colorimetric Sensor for Gaseous Formaldehyde Determination with High Sensitivity and Selectivity. Sensors, 18(9), 3141. doi:10.3390/s18093141He, L., Yang, X., Ren, M., Kong, X., Liu, Y., & Lin, W. (2016). An ultra-fast illuminating fluorescent probe for monitoring formaldehyde in living cells, shiitake mushrooms, and indoors. Chemical Communications, 52(61), 9582-9585. doi:10.1039/c6cc04254fGangopadhyay, A., Maiti, K., Ali, S. S., Pramanik, A. K., Guria, U. N., Samanta, S. K., … Mahapatra, A. K. (2018). A PET based fluorescent chemosensor with real time application in monitoring formaldehyde emissions from plywood. Analytical Methods, 10(24), 2888-2894. doi:10.1039/c8ay00514aLin, Q., Fan, Y.-Q., Gong, G.-F., Mao, P.-P., Wang, J., Guan, X.-W., … Wei, T.-B. (2018). Ultrasensitive Detection of Formaldehyde in Gas and Solutions by a Catalyst Preplaced Sensor Based on a Pillar[5]arene Derivative. ACS Sustainable Chemistry & Engineering, 6(7), 8775-8781. doi:10.1021/acssuschemeng.8b01124Cox, E. D., & Cook, J. M. (1995). The Pictet-Spengler condensation: a new direction for an old reaction. Chemical Reviews, 95(6), 1797-1842. doi:10.1021/cr00038a004Jonsson, G., Launosalo, T., Salomaa, P., Walle, T., Sjöberg, B., Bunnenberg, E., … Records, R. (1966). Fluorescence Studies on Some 6,7-Substituted 3,4-Dihydroisoquinolines Formed from 3-Hydroxytyramine (Dopamine) and Formaldehyde. Acta Chemica Scandinavica, 20, 2755-2762. doi:10.3891/acta.chem.scand.20-2755BJÖRKLUND, A., EHINGER, B., & FALCK, B. (1968). A METHOD FOR DIFFERENTIATING DOPAMINE FROM NORADRENALINE IN TISSUE SECTIONS BY MICROSPECTROFLUOROMETRY. Journal of Histochemistry & Cytochemistry, 16(4), 263-270. doi:10.1177/16.4.263Stöckigt, J., Antonchick, A. P., Wu, F., & Waldmann, H. (2011). The Pictet-Spengler Reaction in Nature and in Organic Chemistry. Angewandte Chemie International Edition, 50(37), 8538-8564. doi:10.1002/anie.201008071Allou, L., El Maimouni, L., & Le Calvé, S. (2011). Henry’s law constant measurements for formaldehyde and benzaldehyde as a function of temperature and water composition. Atmospheric Environment, 45(17), 2991-2998. doi:10.1016/j.atmosenv.2010.05.04

Resorcinol Functionalized Gold Nanoparticles for Formaldehyde Colorimetric Detection

[EN] Gold nanoparticles functionalized with resorcinol moieties have been prepared and used for detecting formaldehyde both in solution and gas phases. The detection mechanism is based on the color change of the probe upon the aggregation of the nanoparticles induced by the polymerization of the resorcinol moieties in the presence of formaldehyde. A limit of detection of 0.5 ppm in solution has been determined. The probe can be deployed for the detection of formaldehyde emissions from composite wood boards.We thank the Spanish Government (projects MAT2015-64139-C4-4-R and AGL2015-70235-C2-2-R (MINECO/FEDER)) and the Generalitat Valenciana (project PROMETEOII/2014/047) for support.Martínez-Aquino, C.; Costero, AM.; Gil Grau, S.; Gaviña, P. (2019). Resorcinol Functionalized Gold Nanoparticles for Formaldehyde Colorimetric Detection. Nanomaterials. 9(2):1-9. https://doi.org/10.3390/nano9020302S1992Salthammer, T. (2013). Formaldehyde in the Ambient Atmosphere: From an Indoor Pollutant to an Outdoor Pollutant? Angewandte Chemie International Edition, 52(12), 3320-3327. doi:10.1002/anie.201205984Bruemmer, K. J., Brewer, T. F., & Chang, C. J. (2017). Fluorescent probes for imaging formaldehyde in biological systems. Current Opinion in Chemical Biology, 39, 17-23. doi:10.1016/j.cbpa.2017.04.010Lang, I., Bruckner, T., & Triebig, G. (2008). Formaldehyde and chemosensory irritation in humans: A controlled human exposure study. Regulatory Toxicology and Pharmacology, 50(1), 23-36. doi:10.1016/j.yrtph.2007.08.012IARC Monographs on the Evaluation of Carcinogenic Risks to Humans. Vol. 100F (2012). Chemical Agents and Related Occupations: Formaldehydehttps://monographs.iarc.fr/wp-content/uploads/2018/06/mono100F-29.pdfChung, P.-R., Tzeng, C.-T., Ke, M.-T., & Lee, C.-Y. (2013). Formaldehyde Gas Sensors: A Review. Sensors, 13(4), 4468-4484. doi:10.3390/s130404468Soman, A., Qiu, Y., & Chan Li, Q. (2008). HPLC-UV Method Development and Validation for the Determination of Low Level Formaldehyde in a Drug Substance. Journal of Chromatographic Science, 46(6), 461-465. doi:10.1093/chromsci/46.6.461Risholm-Sundman, M., Larsen, A., Vestin, E., & Weibull, A. (2007). Formaldehyde emission—Comparison of different standard methods. Atmospheric Environment, 41(15), 3193-3202. doi:10.1016/j.atmosenv.2006.10.079Kim, S., & Kim, H.-J. (2005). Comparison of standard methods and gas chromatography method in determination of formaldehyde emission from MDF bonded with formaldehyde-based resins. Bioresource Technology, 96(13), 1457-1464. doi:10.1016/j.biortech.2004.12.003Yeh, T.-S., Lin, T.-C., Chen, C.-C., & Wen, H.-M. (2013). Analysis of free and bound formaldehyde in squid and squid products by gas chromatography–mass spectrometry. Journal of Food and Drug Analysis, 21(2), 190-197. doi:10.1016/j.jfda.2013.05.010Toews, J., Rogalski, J. C., Clark, T. J., & Kast, J. (2008). Mass spectrometric identification of formaldehyde-induced peptide modifications under in vivo protein cross-linking conditions. Analytica Chimica Acta, 618(2), 168-183. doi:10.1016/j.aca.2008.04.049Zhou, X., Lee, S., Xu, Z., & Yoon, J. (2015). Recent Progress on the Development of Chemosensors for Gases. Chemical Reviews, 115(15), 7944-8000. doi:10.1021/cr500567rZhou, Y., Yan, J., Zhang, N., Li, D., Xiao, S., & Zheng, K. (2018). A ratiometric fluorescent probe for formaldehyde in aqueous solution, serum and air using aza-cope reaction. Sensors and Actuators B: Chemical, 258, 156-162. doi:10.1016/j.snb.2017.11.043Chaiendoo, K., Sooksin, S., Kulchat, S., Promarak, V., Tuntulani, T., & Ngeontae, W. (2018). A new formaldehyde sensor from silver nanoclusters modified Tollens’ reagent. Food Chemistry, 255, 41-48. doi:10.1016/j.foodchem.2018.02.030El Sayed, S., Pascual, L., Licchelli, M., Martínez-Máñez, R., Gil, S., Costero, A. M., & Sancenón, F. (2016). Chromogenic Detection of Aqueous Formaldehyde Using Functionalized Silica Nanoparticles. ACS Applied Materials & Interfaces, 8(23), 14318-14322. doi:10.1021/acsami.6b03224Martínez-Aquino, C., Costero, A., Gil, S., & Gaviña, P. (2018). A New Environmentally-Friendly Colorimetric Probe for Formaldehyde Gas Detection under Real Conditions. Molecules, 23(10), 2646. doi:10.3390/molecules23102646Guo, X.-L., Chen, Y., Jiang, H.-L., Qiu, X.-B., & Yu, D.-L. (2018). Smartphone-Based Microfluidic Colorimetric Sensor for Gaseous Formaldehyde Determination with High Sensitivity and Selectivity. Sensors, 18(9), 3141. doi:10.3390/s18093141Gangopadhyay, A., Maiti, K., Ali, S. S., Pramanik, A. K., Guria, U. N., Samanta, S. K., … Mahapatra, A. K. (2018). A PET based fluorescent chemosensor with real time application in monitoring formaldehyde emissions from plywood. Analytical Methods, 10(24), 2888-2894. doi:10.1039/c8ay00514aBi, A., Yang, S., Liu, M., Wang, X., Liao, W., & Zeng, W. (2017). Fluorescent probes and materials for detecting formaldehyde: from laboratory to indoor for environmental and health monitoring. RSC Advances, 7(58), 36421-36432. doi:10.1039/c7ra05651fSaha, K., Agasti, S. S., Kim, C., Li, X., & Rotello, V. M. (2012). Gold Nanoparticles in Chemical and Biological Sensing. Chemical Reviews, 112(5), 2739-2779. doi:10.1021/cr2001178Mayer, K. M., & Hafner, J. H. (2011). Localized Surface Plasmon Resonance Sensors. Chemical Reviews, 111(6), 3828-3857. doi:10.1021/cr100313vKong, B., Zhu, A., Luo, Y., Tian, Y., Yu, Y., & Shi, G. (2011). Sensitive and Selective Colorimetric Visualization of Cerebral Dopamine Based on Double Molecular Recognition. Angewandte Chemie International Edition, 50(8), 1837-1840. doi:10.1002/anie.201007071Ma, P., Liang, F., Wang, D., Yang, Q., Ding, Y., Yu, Y., … Wang, X. (2014). Ultrasensitive determination of formaldehyde in environmental waters and food samples after derivatization and using silver nanoparticle assisted SERS. Microchimica Acta, 182(3-4), 863-869. doi:10.1007/s00604-014-1400-9Wen, G., Liang, X., Liang, A., & Jiang, Z. (2015). Gold Nanorod Resonance Rayleigh Scattering-Energy Transfer Spectral Determination of Trace Formaldehyde with 4-Amino-3-Hydrazino-5-Mercap-1,2,4-Triazole. Plasmonics, 10(5), 1081-1088. doi:10.1007/s11468-015-9893-6Fauzia, V., Nurlely, Imawan, C., Narayani, N. M. M. S., & Putri, A. E. (2018). A localized surface plasmon resonance enhanced dye-based biosensor for formaldehyde detection. Sensors and Actuators B: Chemical, 257, 1128-1133. doi:10.1016/j.snb.2017.11.031Al-Muhtaseb, S. A., & Ritter, J. A. (2003). Preparation and Properties of Resorcinol-Formaldehyde Organic and Carbon Gels. Advanced Materials, 15(2), 101-114. doi:10.1002/adma.200390020Martí, A., Costero, A. M., Gaviña, P., & Parra, M. (2015). Selective colorimetric NO(g) detection based on the use of modified gold nanoparticles using click chemistry. Chemical Communications, 51(15), 3077-3079. doi:10.1039/c4cc10149aGodoy-Reyes, T. M., Llopis-Lorente, A., Costero, A. M., Sancenón, F., Gaviña, P., & Martínez-Máñez, R. (2018). Selective and sensitive colorimetric detection of the neurotransmitter serotonin based on the aggregation of bifunctionalised gold nanoparticles. Sensors and Actuators B: Chemical, 258, 829-835. doi:10.1016/j.snb.2017.11.181Lewicki, J. P., Fox, C. A., & Worsley, M. A. (2015). On the synthesis and structure of resorcinol-formaldehyde polymeric networks – Precursors to 3D-carbon macroassemblies. Polymer, 69, 45-51. doi:10.1016/j.polymer.2015.05.016Martí, A., Costero, A. M., Gaviña, P., Gil, S., Parra, M., Brotons-Gisbert, M., & Sánchez-Royo, J. F. (2013). Functionalized Gold Nanoparticles as an Approach to the Direct Colorimetric Detection of DCNP Nerve Agent Simulant. European Journal of Organic Chemistry, 2013(22), 4770-4779. doi:10.1002/ejoc.201300339Appendino, G., Minassi, A., Daddario, N., Bianchi, F., & Tron, G. C. (2002). Chemoselective Esterification of Phenolic Acids and Alcohols. Organic Letters, 4(22), 3839-3841. doi:10.1021/ol0266471Haiss, W., Thanh, N. T. K., Aveyard, J., & Fernig, D. G. (2007). Determination of Size and Concentration of Gold Nanoparticles from UV−Vis Spectra. Analytical Chemistry, 79(11), 4215-4221. doi:10.1021/ac0702084Liu, X., Atwater, M., Wang, J., & Huo, Q. (2007). Extinction coefficient of gold nanoparticles with different sizes and different capping ligands. Colloids and Surfaces B: Biointerfaces, 58(1), 3-7. doi:10.1016/j.colsurfb.2006.08.00

Towards the fluorogenic detection of peroxide explosives through host-guest chemistry

[EN] Two dansyl-modified beta-cyclodextrin derivatives (1 and 2) have been synthesized as host-guest sensory systems for the direct fluorescent detection of the peroxide explosives diacetone diperoxide (DADP) and triacetone triperoxide (TATP) in aqueous media. The sensing is based on the displacement of the dansyl moiety from the cavity of the cyclodextrin by the peroxide guest resulting in a decrease of the intensity of the fluorescence of the dye. Both systems showed similar fluorescent responses and were more sensitive towards TATP than DADP.We thank the Spanish Government (MAT2015-64139-C4-4-R) and Generalitat Valenciana (PROMETEOII/2014/047) for financial support.Almenar, E.; Costero, AM.; Gaviña, P.; Gil Grau, S.; Parra Álvarez, M. (2018). Towards the fluorogenic detection of peroxide explosives through host-guest chemistry. Royal Society Open Science. 5(4). https://doi.org/10.1098/rsos.171787S54Dubnikova, F., Kosloff, R., Almog, J., Zeiri, Y., Boese, R., Itzhaky, H., … Keinan, E. (2005). Decomposition of Triacetone Triperoxide Is an Entropic Explosion. Journal of the American Chemical Society, 127(4), 1146-1159. doi:10.1021/ja0464903Fitzgerald, M., & Bilusich, D. (2011). Sulfuric, Hydrochloric, and Nitric Acid-Catalyzed Triacetone Triperoxide (TATP) Reaction Mixtures: An Aging Study. Journal of Forensic Sciences, 56(5), 1143-1149. doi:10.1111/j.1556-4029.2011.01806.xMatyáš, R., Pachman, J., & Ang, H.-G. (2009). Study of TATP: Spontaneous Transformation of TATP to DADP - Full Paper. Propellants, Explosives, Pyrotechnics, 34(6), 484-488. doi:10.1002/prep.200800043Matyas, R., Pachman, J., & Ang, H.-G. (2008). Study of TATP: Spontaneous Transformation of TATP to DADP. Propellants, Explosives, Pyrotechnics, 33(2), 89-91. doi:10.1002/prep.200700247Wang, J. (2007). Electrochemical Sensing of Explosives. Electroanalysis, 19(4), 415-423. doi:10.1002/elan.200603748Bauer, C., Willer, U., Lewicki, R., Pohlkötter, A., Kosterev, A., Kosynkin, D., … Schade, W. (2009). A Mid-infrared QEPAS sensor device for TATP detection. Journal of Physics: Conference Series, 157, 012002. doi:10.1088/1742-6596/157/1/012002Widmer, L., Watson, S., Schlatter, K., & Crowson, A. (2002). Development of an LC/MS method for the trace analysis of triacetone triperoxide (TATP). The Analyst, 127(12), 1627-1632. doi:10.1039/b208350gZhang, Y., Ma, X., Zhang, S., Yang, C., Ouyang, Z., & Zhang, X. (2009). Direct detection of explosives on solid surfaces by low temperature plasma desorption mass spectrometry. The Analyst, 134(1), 176-181. doi:10.1039/b816230aGirotti, S., Ferri, E., Maiolini, E., Bolelli, L., D’Elia, M., Coppe, D., & Romolo, F. S. (2011). A quantitative chemiluminescent assay for analysis of peroxide-based explosives. 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Whole Genome Sequencing Refines Knowledge on the Population Structure of Mycobacterium bovis from a Multi-Host Tuberculosis System

Classical molecular analyses of Mycobacterium bovis based on spoligotyping and Variable Number Tandem Repeat (MIRU-VNTR) brought the first insights into the epidemiology of animal tuberculosis (TB) in Portugal, showing high genotypic diversity of circulating strains that mostly cluster within the European 2 clonal complex. Previous surveillance provided valuable information on the prevalence and spatial occurrence of TB and highlighted prevalent genotypes in areas where livestock and wild ungulates are sympatric. However, links at the wildlife–livestock interfaces were established mainly via classical genotype associations. Here, we apply whole genome sequencing (WGS) to cattle, red deer and wild boar isolates to reconstruct the M. bovis population structure in a multi-host, multi-region disease system and to explore links at a fine genomic scale between M. bovis from wildlife hosts and cattle. Whole genome sequences of 44 representative M. bovis isolates, obtained between 2003 and 2015 from three TB hotspots, were compared through single nucleotide polymorphism (SNP) variant calling analyses. Consistent with previous results combining classical genotyping with Bayesian population admixture modelling, SNP-based phylogenies support the branching of this M. bovis population into five genetic clades, three with apparent geographic specificities, as well as the establishment of an SNP catalogue specific to each clade, which may be explored in the future as phylogenetic markers. The core genome alignment of SNPs was integrated within a spatiotemporal metadata framework to further structure this M. bovis population by host species and TB hotspots, providing a baseline for network analyses in different epidemiological and disease control contexts. WGS of M. bovis isolates from Portugal is reported for the first time in this pilot study, refining the spatiotemporal context of TB at the wildlife–livestock interface and providing further support to the key role of red deer and wild boar on disease maintenance. The SNP diversity observed within this dataset supports the natural circulation of M. bovis for a long time period, as well as multiple introduction events of the pathogen in this Iberian multi-host system.info:eu-repo/semantics/publishedVersio

Inhibition studies with 2-bromoethanesulfonate reveal a novel syntrophic relationship in anaerobic oleate degradation

Degradation of long-chain fatty acids (LCFAs) in methanogenic environments is a syntrophic process involving the activity of LCFA-degrading bacteria and hydrogen-utilizing methanogens. If methanogens are inhibited, other hydrogen scavengers are needed to achieve complete LCFA degradation. In this work, we developed two different oleate (C18:1 LCFA)-degrading anaerobic enrichment cultures, one methanogenic (ME) and another in which methanogenesis was inhibited (IE). Inhibition of methanogens was attained by adding a solution of 2-bromoethanesulfonate (BrES), which turned out to consist of a mixture of BrES and isethionate. Approximately 5 times faster oleate degradation was accomplished by the IE culture compared with the ME culture. A bacterium closely related to Syntrophomonas zehnderi (99\% 16S rRNA gene identity) was the main oleate degrader in both enrichments, in syntrophic relationship with hydrogenotrophic methanogens from the genera Methanobacterium and Methanoculleus (in ME culture) or with a bacterium closely related to Desulfovibrio aminophilus (in IE culture). A Desulfovibrio species was isolated, and its ability to utilize hydrogen was confirmed. This bacterium converted isethionate to acetate and sulfide, with or without hydrogen as electron donor. This bacterium also utilized BrES but only after 3 months of incubation. Our study shows that syntrophic oleate degradation can be coupled to desulfonation.IMPORTANCE In anaerobic treatment of complex wastewater containing fat, oils, and grease, high long-chain fatty acid (LCFA) concentrations may inhibit microbial communities, particularly those of methanogens. Here, we investigated if anaerobic degradation of LCFAs can proceed when methanogens are inhibited and in the absence of typical external electron acceptors, such as nitrate, iron, or sulfate. Inhibition studies were performed with the methanogenic inhibitor 2-bromoethanesulfonate (BrES). We noticed that, after autoclaving, BrES underwent partial hydrolysis and turned out to be a mixture of two sulfonates (BrES and isethionate). We found out that LCFA conversion proceeded faster in the assays where methanogenesis was inhibited, and that it was dependent on the utilization of isethionate. In this study, we report LCFA degradation coupled to desulfonation. Our results also showed that BrES can be utilized by anaerobic bacteria.Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of the UID/BIO/04469/2013 unit and COMPETE 2020 (POCI-01-0145-FEDER-006684) and BioTecNorte operation (NORTE-01-0145-FEDER-000004), funded by the European Regional Development Fund under the scope of Norte2020—Programa Operacional Regional do Norte. We also acknowledge Project MultiBiorefinery (SAICTPAC/0040/2015 [POCI-01-0145-FEDER-016403]), funded by Sistema de Apoio à Investigação Científica e Tecnológica (SAICT), Programas de Atividades Conjuntas (PAC), and the financial support of the European Research Council under the European Union Seventh Framework Programme (FP/2007-2013)/ERC (grant agreement 323009)info:eu-repo/semantics/publishedVersio