Influencia de los fármacos presentes en el agua residual sobre la resistencia de la bacteria Escherichia coli y su eliminación por oxidación avanzada

Los fármacos en el agua han sido considerados en los últimos años un problema medioambiental grave, y se ha incrementado el interés por los efectos que pueden producirse en el medio acuático. Aunado a este problema se encuentra el consumo excesivo de medicamentos no controlados, los cuales pueden ser desechados sin tener el tratamiento adecuado; por lo que se ingresan a los cursos de agua. Estos contaminantes emergentes son compuestos cuyo vertido supone un problema sanitario y ambiental. Se trata de contaminantes solubles en agua por lo que son capaces de estar presentes en todas las etapas del ciclo del agua. Han sido numerosos estudios los que se han realizado en diferentes países, ya que su presencia se ha convertido en un tema emergente en la química del medio ambiente, debido a que en las investigaciones realizadas muestran que no hay una eliminación completa a pesar de los distintos procesos que se aplican en las plantas de tratamiento de aguas residuales. Esta contaminación, incrementa la necesidad de conocer cuál es el efecto toxicológico sobre los organismos acuáticos y, en consecuencia, en las personas. La bacteria Escherichia Coli, es un organismo muy estudiado, debido a que se encuentra en los intestinos de los animales y humanos y por lo consiguiente en las aguas negras. Teniendo en cuenta la crítica situación, se planteó estudiar el efecto sobre la bacteria E. coli de 4 fármacos: Atenolol, Azitromicina, Estradiol e Ibuprofeno, para conocer cual era su comportamiento y el efecto que podían producir la presencia de los fármacos en la eliminación por procesos de oxidación. Así también, los efectos producidos sobre E. Coli, después de estar en contacto con los fármacos 1, 3 y 7 días. Se observó que los fármacos tienen efectos en el aumento o eliminación de los microrganismos dependiendo de los tiempos de exposición y la concentración del fármaco. Así mismo se observó que los microorganismos asimilan mejor las concentraciones menores de fármacos, a tiempos de contacto mayores de 24 horas. Con todos los desinfectantes de estudio se observaron ligeras resistencias de la bacteria ante la presencia de los fármacos. Drugs in water have been considered in recent years a serious environmental problem, and has increased interest in the effects that may occur in the aquatic environment. Added to this problem is the excessive consumption of non-controlled drugs, which can be disposed of without proper treatment, so they enter waterways. These are compounds emerging contaminants being discharged is a health and environmental problem. It is water soluble contaminants and are therefore able to be present in all stages of the water cycle. There have been numerous studies conducted in different countries, since their presence has become an emerging issue in environmental chemistry, because in the research shows that there isn’t a removal despite the different processes used in wastewater treatment plants. This contamination, increases the need to know what is the toxicological effects on aquatic organisms and, consequently, in people. The bacterium Escherichia coli, is a well-studied organism because it is found in the intestines of animals and humans and is therefore in the wastewater. Given the critical situation, was proposed to study the effect on the bacterium E. coli of 4 drugs: Atenolol, Azithromycin, Estradiol and Ibuprofen, to know what his behavior and the effect it could produce the presence of drugs in the removal by oxidation processes. Also, the effects on E. Coli, after being in contact with the drug 1, 3 and 7 days. It was noted that the drugs have effects on the growth or elimination of microorganisms depending on exposure time and the drug concentration. Also it was observed that the microorganisms assimilate lower concentrations of drug better over 24 hours. With all disinfectants study were observed resistances of the bacteria in the presence of the drugs.

Effects of the correction of particle microbial contamination and particle transit model in the rumen on in situ protein evaluation of grass hays.

Effects of considering the particle comminution rate -kc- in addition to particle rumen outflow -kp- and the ruminal microbial contamination on estimates of by-pass and intestinal digestibility of DM, organic matter and crude protein were examined in perennial ryegrass and oat hays. By-pass kc-kp-based values of amino acids were also determined. This study was performed using particle transit, in situ and 15N techniques on three rumen and duodenum-cannulated wethers. The above estimates were determined using composite samples from rumen-incubated residues representative of feed by-pass. Considering the comminution rate, kc, modified the contribution of the incubated residues to these samples in both hays and revealed a higher microbial contamination, consistently in oat hay and only as a tendency for crude protein in ryegrass hay. Not considering kc or rumen microbial contamination overvalued by-pass and intestinal digestibility in both hays. Therefore, non-microbial-corrected kp-based values of intestinal digested crude protein were overestimated as compared with corrected and kc-kp-based values in ryegrass hay -17.4 vs 4.40%- and in oat hay -5.73 vs 0.19%-. Both factors should be considered to obtain accurate in situ estimates in grasses, as the protein value of grasses is very conditioned by the microbial synthesis derived from their ruminal fermentation. Consistent overvaluations of amino acid by-pass due to not correcting microbial contamination were detected in both hays, with large variable errors among amino acids. A similar degradation pattern of amino acids was recorded in both hays. Cysteine, methionine, leucine and valine were the most degradation-resistant amino acids.

Effects of the ruminal comminution rate and microbial contamination of particles on accuracy of in situ estimates of ruminal degradability and intestinal digestibility of feedstuffs.

Effects of considering the comminution rate -kc- and the correction of microbial contamination -using 15N techniques- of particles in the rumen on estimates of ruminally undegraded fractions and their intestinal digestibility were examined generating composite samples -from rumen-incubated residues- representative of the undegraded feed rumen outflow. The study used sunflower meal -SFM- and Italian ryegrass hay -RGH- and three rumen and duodenum cannulated wethers fed with a 40:60 RGH to concentrate diet -75 g DM/kgBW0.75-. Transit studies up to the duodenum with Yb-SFM and Eu-RGH marked samples showed higher kc values -/h- in SFM than in RGH -0.577 vs. 0.0892, p = 0.034-, whereas similar values occurred for the rumen passage rate -kp-. Estimates of ruminally undegraded and intestinal digestibility of all tested fractions decreased when kc was considered and also applying microbial correction. Thus, microbial uncorrected kp-based proportions of intestinal digested undegraded crude protein overestimated those corrected and kc-kp-based by 39% in SFM -0.146 vs. 0.105- and 761% in RGH -0.373 vs. 0.0433-. Results show that both kc and microbial contamination correction should be considered to obtain accurate in situ estimates in grasses, whereas in protein concentrates not considering kc is an important source of error.

VIS/NIR spectral signature for the identification of peanut contamination of powder foods

Visible-near infrared reflectance spectra are proposed for the characterization of IRMM 481 peanuts variety in comparison to powder food materials: wheat flour, milk and cocoa. Multidimensional analysis of reflectance spectra of powder samples shows a specific NIR band centred at 1200 nm that identifies peanut compared to the rest of food ingredients, regardless compaction level and temperature. Spectral range of 400-1000 nm is not robust for identification of blanched peanut. The visible range has shown to be reliable for the identification of pre-treatment and processing of unknown commercial peanut samples. A spectral index is proposed based on the combination of three wavelengths around 1200 nm that is 100% robust against pre-treatment (raw or blanched) and roasting (various temperatures and treatment duration).

NIR hyperspectral imaging for detection of nut contamination

NIR hyperspectral imaging for detection of nut contamination