Biodegradability of DBP precursors after drinking water ozonation

Ozonation is known to generate biodegradable organic matter, which is typically reduced by biological filtration to avoid bacterial regrowth in distribution systems. Post-chlorination generates halogenated disinfection byproducts (DBPs) but little is known about the biodegradability of their precursors. This study determined the effect of ozonation and biofiltration conditions, specifically ozone exposure and empty bed contact time (EBCT), on the control of DBP formation potentials in drinking water. Ozone exposure was varied through addition of H2O2 during ozonation at 1 mgO3/mgDOC followed by biological filtration using either activated carbon (BAC) or anthracite. Ozonation led to a 10% decrease in dissolved organic carbon (DOC), without further improvement from H2O2 addition. Raising H2O2 concentrations from 0 to 2 mmol/mmolO3 resulted in increased DBP formation potentials during post-chlorination of the ozonated water (target Cl2 residual after 24\ua0h\ua0=\ua01-2\ua0mg/L) as follows: 4 trihalomethanes (THM4, 37%), 8 haloacetic acids (HAA8, 44%), chloral hydrate (CH, 107%), 2 haloketones (HK2, 97%), 4 haloacetonitriles (HAN4, 33%), trichloroacetamide (TCAM, 43%), and adsorbable organic halogen (AOX, 27%), but a decrease in the concentrations of 2 trihalonitromethanes (THNM2, 43%). Coupling ozonation with biofiltration prior to chlorination effectively lowered the formation potentials of all DBPs including CH, HK2, and THNM2, all of which increased after ozonation. The dynamics of DBP formation potentials during BAC filtration at different EBCTs followed first-order reaction kinetics. Minimum steady-state concentrations were attained at an EBCT of about 10-20\ua0min, depending on the DBP species. The rate of reduction in DBP formation potentials varied among individual species before reaching their minimum concentrations. CH, HK2, and THNM2 had the highest rate constants of between 0.5 and 0.6 min(-1) followed by HAN4 (0.4 min(-1)), THM4 (0.3 min(-1)), HAA8 (0.2 min(-1)), and AOX (0.1 min(-1)). At an EBCT of 15\ua0min, the reduction in formation potential for most DBPs was less than 50% but was higher than 70% for CH, HK2, and THNM2. The formation of bromine-containing DBPs increased with increasing EBCT, most likely due to an increase in Br(-)/DOC ratio. Overall, this study demonstrated that the combination of ozonation and biofiltration is an effective approach to mitigate DBP formation during drinking water treatment

Bioanalytical and chemical evaluation of disinfection by-products in swimming pool water

Pool water disinfection is vital to prevent microbial pathogens. However, potentially hazardous disinfection by-products (DBP) are formed from the reaction between disinfectants and organic/inorganic precursors. The aim of this study was to evaluate the presence of DBPs in various swimming pool types in Brisbane, Australia, including outdoor, indoor and baby pools, and the dynamics after a complete water renewal. Chemical analysis of 36 regulated and commonly found DBPs and total adsorbable organic halogens as well as invitro bioassays targeting cytotoxicity, oxidative stress and genotoxicity were used to evaluate swimming pool water quality. Dichloroacetic acid and trichloroacetic acid dominated in the pool water samples with higher levels (up to 2600μg/L) than the health guideline values set by the Australian Drinking Water Guidelines (100μg/L). Chlorinated DBPs occurred at higher concentrations compared to tap water, while brominated DBPs decreased gradually with increasing pool water age. Biological effects were expressed as chloroacetic acid equivalent concentrations and compared to predicted effects from chemical analysis and biological characterisation of haloacetic acids. The quantified haloacetic acids explained 35-118% of the absorbable organic halogens but less than 4% of the observed non-specific toxicity (cytotoxicity), and less than 1% of the observed oxidative stress response and genotoxicity. While the DBP concentrations in Australian pools found in this study are not likely to cause any adverse health effect, they are higher than in other countries and could be reduced by better hygiene of pool users, such as thorough showering prior to entering the pool and avoiding urination during swimming

Rejection of disinfection by-products by RO and NF membranes: influence of solute properties and operational parameters

The objective of this study was to determine the influence of solute properties and operational parameters on disinfection by-product (DBP) rejection by reverse osmosis (RO) and nanofiltration (NF) membranes. This was achieved by assessing the removal efficiency for 29 DBPs likely to be formed during disinfection of secondary effluents. The DBPs investigated were trihalomethanes, iodinated-trihalomethanes, haloacetonitriles, chloral hydrate, haloketones, halonitromethanes and haloacetamides.The performance of a NF and a low pressure RO membrane was investigated within a range of different pHs, temperatures, transmembrane fluxes, crossflow velocities and ionic strengths. Rejection decreased significantly with increasing temperature and decreasing transmembrane flux, while the influence of the other operational parameters was minimal with a few exceptions detailed in the manuscript.Multiple linear regression was used to determine the physico-chemical solute properties contributing significantly to DBP rejection. For NF, geometric parameters were revealed to be the dominant molecular descriptors influencing rejection, whereas for RO, besides size exclusion, solute-membrane interaction played an important role. A predictive model based on multiple linear regression was established that could forecast rejection of DBPs as a function of membrane operation parameters and DBP properties

Kinetics and mechanisms of nitrate and ammonium formation during ozonation of dissolved organic nitrogen

Dissolved organic nitrogen (DON) is an emerging concern in oxidative water treatment because it exerts oxidant demand and may form nitrogenous oxidation/disinfection by-products. In this study, we investigated the reactions of ozone with DON with a special emphasis on the formation of nitrate (NO ) and ammonium (NH ). In batch ozonation experiments, the formation of NO and NH was investigated for natural organic matter standards, surface water, and wastewater effluent samples. A good correlation was found between NO formation and the O exposure (R > 0.82) during ozonation of both model DON solutions and real water samples. To determine the main precursor of NO , solutions composed of tannic acid and model compounds with amine functional groups were ozonated. The NO yield during ozonation was significantly higher for glycine than for trimethylamine and dimethylamine. Experiments with glycine also showed that NO was formed via an intermediate with a second-order rate constant of 7.7 ± 0.1 Ms while NH was formed by an electron-transfer mechanism with O as confirmed from a hydroxyl radical (OH) yield of 24.7 ± 1.9%. The NH concentrations, however, were lower than the OH yield (0.03 mol NH /mol OH) suggesting other OH-producing reactions that compete with NH formation. This study concludes that NO formation during ozonation of DON is induced by an oxygen-transfer to nitrogen forming hydroxylamine and oxime, while NH formation is induced by electron-transfer reactions involving C-centered radicals and imine intermediates

Text messaging as a tool to improve cancer screening programs (M-TICS Study):A randomized controlled trial protocol

Background: Short message service (SMS) based interventions are widely used in healthcare and have shown promising results to improve cancer screening programs. However, more research is still needed to implement SMS in the screening process. We present a study protocol to assess the impact on health and economics of three targeted SMS-based interventions in population-based cancer screening programs. Methods/design: The M-TICs study is a randomized controlled trial with a formal process evaluation. Participants aged 50-69 years identified as eligible from the colorectal cancer (CRC) and breast cancer (BC) screening program of the Catalan Institute of Oncology (Catalonia, Spain) will be randomly assigned to receive standard invitation procedure (control group) or SMS-based intervention to promote participation. Two interventions will be conducted in the CRC screening program: 1) Screening invitation reminder: Those who do not participate in the CRC screening within 6 weeks of invite will receive a reminder (SMS or letter); 2) Reminder to complete and return fecal immunochemical test (FIT) kit: SMS reminder versus no intervention to individuals who have picked up a FIT kit at the pharmacy and they have not returned it after 14 days. The third intervention will be performed in the BC screening program. Women who had been screened previously will receive an SMS invitation or a letter invitation to participate in the screening. As a primary objective we will assess the impact on participation for each intervention. The secondary objectives will be to analyze the cost-effectiveness of the interventions and to assess participants' perceptions. Expected results: The results from this randomized controlled trial will provide important empirical evidence for the use of mobile phone technology as a tool for improving population-based cancer screening programs. These results may influence the cancer screening invitation procedure in future routine practice

Red de maíz de primera de la EEA INTA Oliveros y sus Agencias de Extensión Rural (AERs). Campaña 2019-20

La Red de ensayos de maíz de la Estación Experimental del INTA Oliveros y sus Agencias de Extensión Rural tiene como objetivo la identificación de híbridos de alto rendimiento y evaluar su estabilidad en diferentes ambientes productivos del Centro - Sur de Santa Fe.EEA OliverosFil: Ferraguti, Facundo Javier. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; ArgentinaFil: Sanmarti, Nicolas. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; ArgentinaFil: Widmer, Thomas. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Venado Tuerto; ArgentinaFil: Vita Larrieu, Eduardo Alberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Máximo Paz; ArgentinaFil: Palu, Estefania Maria. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Máximo Paz; ArgentinaFil: Prieto, Gabriel Maria. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Arroyo Seco; ArgentinaFil: Ibarlucea, Juan Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Roldán; ArgentinaFil: Capurro, Julia Ester. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Cañada de Gómez; ArgentinaFil: Dickie, Maria Jose. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Cañada de Gómez; ArgentinaFil: Gentili, Oscar Alfredo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Casilda; ArgentinaFil: Casasola Farre, Erica Alejandra. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Casilda; ArgentinaFil: Pagani, Ricardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Las Rosas; ArgentinaFil: Condori, Alicia Adelina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Totoras; ArgentinaFil: Mendez, Jose Maria. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Totoras; ArgentinaFil: Malmantile, Alberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Venado Tuerto; Argentin

Análisis de contenido proteico de soja en la Red de Oliveros. Campaña 2021-2022.

Este trabajo pretende evaluar la calidad de granos de soja de la Red Oliveros de la campaña 2021/22. En este ensayo se han considerado un total de 347 muestras que provienen de 12 sitios y 35 variedades diferentes.EEA OliverosFil: Accoroni, Cecilia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Laboratorio de Agroindustria; ArgentinaFil: Almada, Gustavo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela. Agencia de Extensión Rural Carlos Pellegrini; ArgentinaFil: Boero, Leandro Ruben. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela. Agencia de Extensión Rural Galvez; ArgentinaFil: Casasola Farre, Erica Alejandra. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Casilda; ArgentinaFil: Dickie, Maria Jose. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Cañada de Gómez; ArgentinaFil: Ibarlucea, Juan Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Roldán; ArgentinaFil: Prieto, Gabriel Maria. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Arroyo Seco; ArgentinaFil: Palu, Estefania Maria. Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Máximo Paz; ArgentinaFil: Vita Larrieu, Eduardo Alberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Máximo Paz; ArgentinaFil: Widmer, Thomas. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Venado Tuerto; ArgentinaFil: Enrico, Juan Martin. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Grupo Manejo de Cultivos, Suelos y Agua. Argentin

Trigo pan: comportamiento agronómico y calidad comercial de la Red de cultivares comerciales en el centro-sur de Santa Fe. Campaña 2020-21.

Desde la Estación Experimental Agropecuaria del INTA Oliveros se desarrolla en forma ininterrumpida desde hace 22 años, una red de ensayos de trigo en su área de influencia. La misma comprende lotes de productores de cultivares comerciales de distintos criaderos. Acompañan este proceso las Agencias de Extensión (AER) de Gálvez y Carlos Pellegrini, unidades que dependen de la Estación Experimental Agropecuaria del INTA Rafaela. Estos ensayos se realizan en macro parcelas en campo de productores, excepto en la localidad de Oliveros que fueron en microparcelas. Los cultivares participantes se agruparon según su precocidad en dos grupos: ciclo largo e intermedio y ciclo corto.EEA OliverosFil: Manlla, Amalia Graciela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; ArgentinaFil: Almada, Gustavo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela. Agencia de Extensión Rural Carlos Pellegrini; ArgentinaFil: Boero, Leandro Ruben. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela. Agencia de Extensión Rural Galvez; ArgentinaFil: Calcha, Jose Alfredo Nicolas. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela. Agencia de Extensión Rural Galvez; ArgentinaFil: Casasola Farre, Erica Alejandra. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Casilda; ArgentinaFil: Gentili, Oscar Alfredo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Casilda; ArgentinaFil: Malmantile, Alberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Venado Tuerto; ArgentinaFil: Mendez, Jose Maria. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Totoras; ArgentinaFil: Loto, Ariel Roberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Arroyo Seco; ArgentinaFil: Prieto, Gabriel Maria. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Arroyo Seco; ArgentinaFil: Vita Larrieu, Eduardo Alberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Máximo Paz; ArgentinaFil: Pagani, Ricardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Las Rosas; ArgentinaFil: Lago, Maria Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; ArgentinaFil: Alberione, Enrique Javier. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentin

Calidad de semillas de la Red de Cultivares de Soja de Oliveros. Sub-Región oeste: Armstrong, Cañada de Gómez y Arteaga. Sub-Región norte: Gessler y Landeta. Relevamiento de la campaña 2021/22.

El objetivo de este trabajo fue evaluar la calidad fisiológica de semillas de soja provenientes de cultivos de la Red de Cultivares de Soja del Centro Sur de Santa Fe (RED) del INTA de la campaña 2021-2022. El trabajo se realizó en el Laboratorio de Semillas de la Estación Experimental Agropecuaria Oliveros de INTA. Se emplearon semillas de soja provenientes de 2 sitios del oeste y 2 sitios del norte de la zona donde se desarrolla la RED. Se analizaron 7 cultivares (cvs) pertenecientes a los grupos de madurez (GM) 4.1 al 5.2 en fechas de siembra de 1a (Armstrong, Gessler, Arteaga y Landeta) y 2da (Cañada de Gómez y Landeta; Tabla 1).EEA OliverosFil: Gallo, Carina Del Valle. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Laboratorio de Semillas; ArgentinaFil: Arango, Miriam Raquel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Laboratorio de Semillas; ArgentinaFil: Fared, Marcelo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Laboratorio de Semillas; ArgentinaFil: Fared, Loana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Laboratorio de Semillas; ArgentinaFil: Bacigaluppo, Silvina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Manejo de Cultivos, Suelo y Agua; ArgentinaFil: Dickie, Maria Jose. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Cañada de Gómez; ArgentinaFil: Casasola Farre, Erica Alejandra. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Agencia de Extensión Rural Casilda; ArgentinaFil: Boero, Leandro Ruben. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela. Agencia de Extensión Rural Galvez; ArgentinaFil: Almada, Gustavo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela. Agencia De Extensión Rural Carlos Pellegrini; Argentina

Clinical and pathological characteristics of peripheral T‐cell lymphomas in a Spanish population: a retrospective study

We investigated the clinicopathological features and prognostic factors of patients with peripheral T-cell lymphoma (PTCL) in 13 sites across Spain. Relevant clinical antecedents, CD30 expression and staining pattern, prognostic indices using the International Prognostic Index and the Intergruppo Italiano Linfomi system, treatments, and clinical outcomes were examined. A sizeable proportion of 175 patients had a history of immune-related disorders (autoimmune 16%, viral infections 17%, chemo/radiotherapy-treated carcinomas 19%). The median progression-free survival (PFS) and overall survival (OS) were 7·9 and 15·8 months, respectively. Prognostic indices influenced PFS and OS, with a higher number of adverse factors resulting in shorter survival (P 15% of cells were positive in anaplastic lymphoma kinase-positive and -negative anaplastic large-cell lymphoma and extranodal natural killer PTCL groups. We observed PTCL distribution across subtypes based on haematopathological re-evaluation. Poor prognosis, effect of specific prognostic indices, relevance of histopathological sub-classification, and response level to first-line treatment on outcomes were confirmed. Immune disorders amongst patients require further examination involving genetic studies and identification of associated immunosuppressive factors