89 research outputs found

    Photoinduced chemiluminescence determination of carbamate pesticides

    Full text link
    A liquid chromatography method with post-column photoinduced chemiluminescence (PICL) detection is proposed for the simultaneous determination of eight carbamate pesticides, namely aldicarb, butocarboxim, ethiofencarb, methomyl, methiocarb, thiodicarb, thiofanox and thiophanate-methyl. After chromatographic separation, quinine (sensitizer) was incorporated and the flow passed through an UV lamp (67 s of irradiation time) to obtain the photoproducts, which reacted with acidic Ce(IV) and provided a CL emission. The PICL method showed great selectivity for carbamate pesticides containing sulphur in their chemical structure. A solid-phase extraction process increased sensitivity (LODs ranging from 0.06 to 0.27 ng mL−1) and allowed the carbamate pesticides in surface and ground water samples to be determined, with recoveries in the range 87 110% (except for thiophanate-methyl, whose recoveries were between 60 and 75%). The intra- and inter-day precision was evaluated, with RSD ranging from 1.1 to 7.5% and from 2.6 to 12.3%, respectively. A discussion about the PICL mechanism is also included.Catalá-Icardo, M.; Meseguer-Lloret, S.; Torres-Cartas, S. (2016). Photoinduced chemiluminescence determination of carbamate pesticides. Photochemical and Photobiological Sciences. 15:626-634. doi:10.1039/c6pp00056hS62663415Santaladchaiyakit, Y., Srijaranai, S., & Burakham, R. (2012). Methodological aspects of sample preparation for the determination of carbamate residues: A review. Journal of Separation Science, 35(18), 2373-2389. doi:10.1002/jssc.201200431Pesticides in Ground and Drinking water, ed. M. Fielding, Water Pollution Research Report 27, Commission of the European Communities, Brussels, 1991Melchert, W. R., & Rocha, F. R. P. (2010). A greener and highly sensitive flow-based procedure for carbaryl determination exploiting long pathlength spectrophotometry and photochemical waste degradation. Talanta, 81(1-2), 327-333. doi:10.1016/j.talanta.2009.12.005Chu, N., & Fan, S. (2009). Sequential injection kinetic spectrophotometric determination of quaternary mixtures of carbamate pesticides in water and fruit samples using artificial neural networks for multivariate calibration. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 74(5), 1173-1181. doi:10.1016/j.saa.2009.09.030Pacioni, N. L., & Veglia, A. V. (2007). Determination of poorly fluorescent carbamate pesticides in water, bendiocarb and promecarb, using cyclodextrin nanocavities and related media. Analytica Chimica Acta, 583(1), 63-71. doi:10.1016/j.aca.2006.10.010Yang, E.-Y., & Shin, H.-S. (2013). Trace level determinations of carbamate pesticides in surface water by gas chromatography–mass spectrometry after derivatization with 9-xanthydrol. Journal of Chromatography A, 1305, 328-332. doi:10.1016/j.chroma.2013.07.055Fernández-Ramos, C., Šatínský, D., & Solich, P. (2014). New method for the determination of carbamate and pyrethroid insecticides in water samples using on-line SPE fused core column chromatography. Talanta, 129, 579-585. doi:10.1016/j.talanta.2014.06.037Wang, X., Cheng, J., Wang, X., Wu, M., & Cheng, M. (2012). Development of an improved single-drop microextraction method and its application for the analysis of carbamate and organophosphorus pesticides in water samples. The Analyst, 137(22), 5339. doi:10.1039/c2an35623fFytianos, K., Pitarakis, K., & Bobola, E. (2006). Monitoring ofN-methylcarbamate pesticides in the Pinios River (central Greece) by HPLC. International Journal of Environmental Analytical Chemistry, 86(1-2), 131-145. doi:10.1080/03067310500248171Fu, L., Liu, X., Hu, J., Zhao, X., Wang, H., & Wang, X. (2009). Application of dispersive liquid–liquid microextraction for the analysis of triazophos and carbaryl pesticides in water and fruit juice samples. Analytica Chimica Acta, 632(2), 289-295. doi:10.1016/j.aca.2008.11.020Shi, Z., Hu, J., Li, Q., Zhang, S., Liang, Y., & Zhang, H. (2014). Graphene based solid phase extraction combined with ultra high performance liquid chromatography–tandem mass spectrometry for carbamate pesticides analysis in environmental water samples. Journal of Chromatography A, 1355, 219-227. doi:10.1016/j.chroma.2014.05.085Latrous El Atrache, L., Ben Sghaier, R., Bejaoui Kefi, B., Haldys, V., Dachraoui, M., & Tortajada, J. (2013). Factorial design optimization of experimental variables in preconcentration of carbamates pesticides in water samples using solid phase extraction and liquid chromatography–electrospray-mass spectrometry determination. Talanta, 117, 392-398. doi:10.1016/j.talanta.2013.09.032Cahill, M. G., Caprioli, G., Stack, M., Vittori, S., & James, K. J. (2011). Semi-automated liquid chromatography–mass spectrometry (LC–MS/MS) method for basic pesticides in wastewater effluents. Analytical and Bioanalytical Chemistry, 400(2), 587-594. doi:10.1007/s00216-011-4781-1López-Paz, J. L., Catalá-Icardo, M., & Langa-Sánchez, A. (2014). Determination ofN-methylcarbamate pesticides using flow injection with photoinduced chemiluminescence detection. International Journal of Environmental Analytical Chemistry, 94(6), 606-617. doi:10.1080/03067319.2013.879295López-Paz, J. L., & Catalá-Icardo, M. (2011). Analysis of Pesticides by Flow Injection Coupled with Chemiluminescent Detection: A Review. Analytical Letters, 44(1-3), 146-175. doi:10.1080/00032719.2010.500788Huertas-Pérez, J. F., & García-Campaña, A. M. (2008). Determination of N-methylcarbamate pesticides in water and vegetable samples by HPLC with post-column chemiluminescence detection using the luminol reaction. Analytica Chimica Acta, 630(2), 194-204. doi:10.1016/j.aca.2008.09.047Pérez-Ruiz, T., Martínez-Lozano, C., & García, M. D. (2007). Determination of N-methylcarbamate pesticides in environmental samples by an automated solid-phase extraction and liquid chromatographic method based on post-column photolysis and chemiluminescence detection. Journal of Chromatography A, 1164(1-2), 174-180. doi:10.1016/j.chroma.2007.07.006Orejuela, E., & Silva, M. (2003). Monitoring some phenoxyl-type N-methylcarbamate pesticide residues in fruit juices using high-performance liquid chromatography with peroxyoxalate-chemiluminescence detection. Journal of Chromatography A, 1007(1-2), 197-201. doi:10.1016/s0021-9673(03)00934-8Catalá-Icardo, M., Lahuerta-Zamora, L., Torres-Cartas, S., & Meseguer-Lloret, S. (2014). Determination of organothiophosphorus pesticides in water by liquid chromatography and post-column chemiluminescence with cerium(IV). Journal of Chromatography A, 1341, 31-40. doi:10.1016/j.chroma.2014.03.024Galera, M. M., García, M. D. G., & Valverde, R. S. (2006). Determination of nine pyrethroid insecticides by high-performance liquid chromatography with post-column photoderivatization and detection based on acetonitrile chemiluminescence. Journal of Chromatography A, 1113(1-2), 191-197. doi:10.1016/j.chroma.2006.02.013Meseguer-Lloret, S., Torres-Cartas, S., Catalá-Icardo, M., & Gómez-Benito, C. (2015). Selective and Sensitive Chemiluminescence Determination of MCPB: Flow Injection and Liquid Chromatography. Applied Spectroscopy, 70(2), 312-321. doi:10.1177/0003702815620133Pesticide properties database (PPDB). University of Hertfordshire, http://sitem.herts.ac.uk/aeru/ppdb/en/index.htmPulgarín, J. A. M., Molina, A. A., & López, P. F. (2006). Automatic chemiluminescence-based determination of carbaryl in various types of matrices. Talanta, 68(3), 586-593. doi:10.1016/j.talanta.2005.04.051Waseem, A., Yaqoob, M., & Nabi, A. (2007). Flow-injection determination of carbaryl and carbofuran based on KMnO4–Na2SO3 chemiluminescence detection. Luminescence, 22(4), 349-354. doi:10.1002/bio.970Tsogas, G. Z., Giokas, D. L., Nikolakopoulos, P. G., Vlessidis, A. G., & Evmiridis, N. P. (2006). Determination of the pesticide carbaryl and its photodegradation kinetics in natural waters by flow injection–direct chemiluminescence detection. Analytica Chimica Acta, 573-574, 354-359. doi:10.1016/j.aca.2005.11.058Xie, Z., Ouyang, X., Guo, L., Lin, X., & Chen, G. (2005). Determination of carbofuran by flow-injection with chemiluminescent detection. Luminescence, 20(3), 226-230. doi:10.1002/bio.825Liu, H., Hao, Y., Ren, J., He, P., & Fang, Y. (2007). Determination of tsumacide residues in vegetable samples using a flow-injection chemiluminescence method. Luminescence, 22(4), 302-308. doi:10.1002/bio.963Amorim, C. M. P. G., Albert-García, J. R., Montenegro, M. C. B. S., Araújo, A. N., & Calatayud, J. M. (2007). Photo-induced chemiluminometric determination of Karbutilate in a continuous-flow Multicommutation assembly. Journal of Pharmaceutical and Biomedical Analysis, 43(2), 421-427. doi:10.1016/j.jpba.2006.07.006DeMarco, A. C., & Hayes, E. R. (1979). Photodegradation of thiolcarbamate herbicides. Chemosphere, 8(5), 321-326. doi:10.1016/0045-6535(79)90117-6Prevention, Pesticides and Toxic Substances (7508C) Reregistration eligibility decision. Thiophanate-methyl, Environmental Protection Agency (EPA), 2005Sanz-Asensio, J., Plaza-Medina, M., Martı́nez-Soria, M. ., & Pérez-Clavijo, M. (1999). Study of photodegradation of the pesticide ethiofencarb in aqueous and non-aqueous media, by gas chromatography–mass spectrometry. Journal of Chromatography A, 840(2), 235-247. doi:10.1016/s0021-9673(99)00219-8D. Barceló and M. C.Hennion, Techniques and instrumentation in analytical chemistry, Elsevier, Amsterdam, The Netherlands, 1997, vol. 19Capitán-Vallvey, L. (2000). Chemiluminescence determination of sodium 2-mercaptoethane sulfonate by flow injection analysis using cerium(IV) sensitized by quinine. Talanta, 51(6), 1155-1161. doi:10.1016/s0039-9140(00)00291-5NIE, L., MA, H., SUN, M., LI, X., SU, M., & LIANG, S. (2003). Direct chemiluminescence determination of cysteine in human serum using quinine–Ce(IV) system. Talanta, 59(5), 959-964. doi:10.1016/s0039-9140(02)00649-5J. R. Lakowicz , Principles of Fluorescence Spectroscopy, 3rd edn, Springer, New York, 2006Hamilton, D. J., Ambrus, Á., Dieterle, R. M., Felsot, A. S., Harris, C. A., Holland, P. T., … Wong, S.-S. (2003). Regulatory limits for pesticide residues in water (IUPAC Technical Report). Pure and Applied Chemistry, 75(8), 1123-1155. doi:10.1351/pac20037508112

    Circulating microRNAs in sera correlate with soluble biomarkers of immune activation but do not predict mortality in ART treated individuals with HIV-1 infection: A case control study

    Get PDF
    Introduction: The use of anti-retroviral therapy (ART) has dramatically reduced HIV-1 associated morbidity and mortality. However, HIV-1 infected individuals have increased rates of morbidity and mortality compared to the non-HIV-1 infected population and this appears to be related to end-organ diseases collectively referred to as Serious Non-AIDS Events (SNAEs). Circulating miRNAs are reported as promising biomarkers for a number of human disease conditions including those that constitute SNAEs. Our study sought to investigate the potential of selected miRNAs in predicting mortality in HIV-1 infected ART treated individuals. Materials and Methods: A set of miRNAs was chosen based on published associations with human disease conditions that constitute SNAEs. This case: control study compared 126 cases (individuals who died whilst on therapy), and 247 matched controls (individuals who remained alive). Cases and controls were ART treated participants of two pivotal HIV-1 trials. The relative abundance of each miRNA in serum was measured, by RTqPCR. Associations with mortality (all-cause, cardiovascular and malignancy) were assessed by logistic regression analysis. Correlations between miRNAs and CD4+ T cell count, hs-CRP, IL-6 and D-dimer were also assessed. Results: None of the selected miRNAs was associated with all-cause, cardiovascular or malignancy mortality. The levels of three miRNAs (miRs -21, -122 and -200a) correlated with IL-6 while miR-21 also correlated with D-dimer. Additionally, the abundance of miRs -31, -150 and -223, correlated with baseline CD4+ T cell count while the same three miRNAs plus miR- 145 correlated with nadir CD4+ T cell count. Discussion: No associations with mortality were found with any circulating miRNA studied. These results cast doubt onto the effectiveness of circulating miRNA as early predictors of mortality or the major underlying diseases that contribute to mortality in participants treated for HIV-1 infection

    Development and Validation of a Risk Score for Chronic Kidney Disease in HIV Infection Using Prospective Cohort Data from the D:A:D Study

    Get PDF
    Ristola M. on työryhmien DAD Study Grp ; Royal Free Hosp Clin Cohort ; INSIGHT Study Grp ; SMART Study Grp ; ESPRIT Study Grp jäsen.Background Chronic kidney disease (CKD) is a major health issue for HIV-positive individuals, associated with increased morbidity and mortality. Development and implementation of a risk score model for CKD would allow comparison of the risks and benefits of adding potentially nephrotoxic antiretrovirals to a treatment regimen and would identify those at greatest risk of CKD. The aims of this study were to develop a simple, externally validated, and widely applicable long-term risk score model for CKD in HIV-positive individuals that can guide decision making in clinical practice. Methods and Findings A total of 17,954 HIV-positive individuals from the Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) study with >= 3 estimated glomerular filtration rate (eGFR) values after 1 January 2004 were included. Baseline was defined as the first eGFR > 60 ml/min/1.73 m2 after 1 January 2004; individuals with exposure to tenofovir, atazanavir, atazanavir/ritonavir, lopinavir/ritonavir, other boosted protease inhibitors before baseline were excluded. CKD was defined as confirmed (>3 mo apart) eGFR In the D:A:D study, 641 individuals developed CKD during 103,185 person-years of follow-up (PYFU; incidence 6.2/1,000 PYFU, 95% CI 5.7-6.7; median follow-up 6.1 y, range 0.3-9.1 y). Older age, intravenous drug use, hepatitis C coinfection, lower baseline eGFR, female gender, lower CD4 count nadir, hypertension, diabetes, and cardiovascular disease (CVD) predicted CKD. The adjusted incidence rate ratios of these nine categorical variables were scaled and summed to create the risk score. The median risk score at baseline was -2 (interquartile range -4 to 2). There was a 1: 393 chance of developing CKD in the next 5 y in the low risk group (risk score = 5, 505 events), respectively. Number needed to harm (NNTH) at 5 y when starting unboosted atazanavir or lopinavir/ritonavir among those with a low risk score was 1,702 (95% CI 1,166-3,367); NNTH was 202 (95% CI 159-278) and 21 (95% CI 19-23), respectively, for those with a medium and high risk score. NNTH was 739 (95% CI 506-1462), 88 (95% CI 69-121), and 9 (95% CI 8-10) for those with a low, medium, and high risk score, respectively, starting tenofovir, atazanavir/ritonavir, or another boosted protease inhibitor. The Royal Free Hospital Clinic Cohort included 2,548 individuals, of whom 94 individuals developed CKD (3.7%) during 18,376 PYFU (median follow-up 7.4 y, range 0.3-12.7 y). Of 2,013 individuals included from the SMART/ESPRIT control arms, 32 individuals developed CKD (1.6%) during 8,452 PYFU (median follow-up 4.1 y, range 0.6-8.1 y). External validation showed that the risk score predicted well in these cohorts. Limitations of this study included limited data on race and no information on proteinuria. Conclusions Both traditional and HIV-related risk factors were predictive of CKD. These factors were used to develop a risk score for CKD in HIV infection, externally validated, that has direct clinical relevance for patients and clinicians to weigh the benefits of certain antiretrovirals against the risk of CKD and to identify those at greatest risk of CKD.Peer reviewe

    Guanidinium group: A versatile moiety inducing transport and multicompartmentalization in complementary membranes

    Get PDF
    AbstractGuanidinium groups present in peptides and dendritic polymers induce their efficient transport through liposomal and cell membranes. Transmembrane crossing of these polymers is affected by their structural features and is critically dependent on the number of guanidinium groups present. Furthermore, the interaction of the guanidinium groups with phosphate groups, both located on liposomal surfaces, triggers a series of processes involving a reorganization of the self-assembled lipids and inducing the formation of multicompartment systems. These observations consistent throughout a diversity of interacting complementary liposomes, support a hypothesis that molecular recognition of liposomes induces the formation of multicompartment structures

    Prediction of unintentional lane departure using evidence theory

    No full text

    Using digital maps to enhance lane keeping support systems

    No full text
    corecore