Combined use of O3/H2O2 and O3/Mn2+ in flotation of dairy wastewater

This work investigated the degradation of organic matter present in synthetic dairy wastewater by the combination of ozonation (ozone (O 3 )/hydrogen peroxide (H 2 O 2 )) and catalytic ozonation (ozone (O 3 )/manganese (Mn 2+ )) associated with dispersed air flotation process. The effect of independent factors such as O 3 concentration, pH and H 2 O 2 and Mn 2+ concentration was evaluated. For the flotation/O 3 /H 2 O 2 treatment, the significant variables (p ≤ 0.05) were: O 3 concentration (linear and quadratic effect), H 2 O 2 concentration linear and quadratic effect, pH values (linear and quadratic effect) and interaction O3 concentration versus pH. For catalytic ozonation, it was observed that the significant variable was the linear effect of O 3 concentration. According to the desirability function, it was concluded that the optimal condition for the treatment of flotation/O 3 /H 2 O 2 can be obtained in acidic solution using O3 concentrations greater than 42.9 mg L -1 combined with higher concentrations of H 2 O 2 to 1071.5 mg L -1 . On other hand, at pH values higher than 9.0, the addition of O3 may be neglected when using higher concentrations than 1071.5 mg L -1 of H 2 O 2 . For flotation/ozonation catalyzed by Mn 2+ , it was observed that metal addition did not affect treatment, resulting in an optimum condition: 53.8 mg L -1 of O 3 and pH 3.6

Degradation kinetics of organic matter in dairy industry wastewater by flotation/ozonation processes

This study evaluated the adjustment of four kinetic models and their respective parameters on data of dairy wastewater treatment by the physico-chemical process of flotation and ozonation. The experiment was implemented during the year 2014, with all the tests in triplicate. The treatments were carried out at different pH levels (3.6, 7.0 and 10.4), and flotation/ozonation was catalyzed by manganese (Mn2+) in neutral level (pH 7.0). Best removal efficiencies for chemical oxygen demand (COD) were obtained in acidic medium, with removals greater than 75% after 20 min of treatment. There was no significant difference with regards to addition of Mn2+on COD removal by the physico-chemical process. The kinetic models that best fit to the experimental data, for all treatments, were the asymptotic (residual) model and that of Chan and Chu. Treatment in acidic medium showed the highest values of the kinetic parameters for the adjusted model, obtaining a k coefficient equal to 0.2394 min-1for the asymptotic model and kinetic coefficient 1/ρ of 0.4816 min-1for the Chan and Chu model, both presenting a determination coefficient greater than 99%

Is the proteome of bronchoalveolar lavage extracellular vesicles a marker of advanced lung cancer?

Acellular bronchoalveolar lavage (BAL) proteomics can partially separate lung cancer from non-lung cancer patients based on principal component analysis and multivariate analysis. Furthermore, the variance in the proteomics data sets is correlated mainly with lung cancer status and, to a lesser extent, smoking status and gender. Despite these advances BAL small and large extracellular vehicles (EVs) proteomes reveal aberrant protein expression in paracrine signaling mechanisms in cancer initiation and progression. We consequently present a case-control study of 24 bronchoalveolar lavage extracellular vesicle samples which were analyzed by state-of-the-art liquid chromatography-mass spectrometry (LC-MS). We obtained evidence that BAL EVs proteome complexity correlated with lung cancer stage 4 and mortality within two years´ follow-up (p value = 0.006). The potential therapeutic target DNMT3B complex is significantly up-regulated in tumor tissue and BAL EVs. The computational analysis of the immune and fibroblast cell markers in EVs suggests that patients who deceased within the follow-up period display higher marker expression indicative of innate immune and fibroblast cells (four out of five cases). This study provides insights into the proteome content of BAL EVs and their correlation to clinical outcomes.R.M. is supported by Fundação para a Ciência e a Tecnologia (CEEC position, 2019–2025 investigator). This article is a result of the projects (iNOVA4Health—UID/Multi/04462/2013), supported by Lisboa Portugal Regional Operational Programme (Lisboa2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). This work is also funded by FEDER funds through the COMPETE 2020 Programme and National Funds through FCT—Portuguese Foundation for Science and Technology under the projects number PTDC/BTM-TEC/30087/2017 and PTDC/BTM-TEC/30088/2017. This work was supported by the Wellcome Trust/DBT India Alliance Margdarshi Fellowship (grant number IA/M/15/1/502023) awarded to A.P. B.C.-S., M.C.S.C. and C.B. are supported by the Champalimaud Foundation and the EMBO Installation Grant 3921