Browsing by Author "Perez Gonzalez, Bolivar Andres"

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Acute toxicity of daphnia magna neonates exposed to single and composite mixtures of four emerging contaminants
(2022) Araujo, Giuliana S.; Moulatlet, Gabriel M.; Perez Gonzalez, Bolivar Andres; Cipriani Avila, Eva Isabel; Tripaldi, Piercosimo; Capparelli, Mariana V.; Pinos Vélez, Verónica Patricia
The effects of emerging contaminants on environmental health are of high concern, especially those potentially induced by mixtures. We assessed single and composite mixtures of triclosan (T), 17β-estradiol (E2), sulfamethoxazole (SMX), and nicotine (N) at various concentrations, on neonates of Daphnia magna. When used in single exposure, T and N induced high toxicity (100% immobility, each one), compared to SMX and E2 (2.5% and 10% immobility, respectively). When T, E2, SMX and N were in mixture, T had the highest contribution to the overall toxicity in mixture exposures. The N toxicity lowered when in a fourfold exposure (85% immobility in fourfold exposure). Due to the high toxicity of T and N, both alone and in the mixtures, our results can serve as a warning about the use of these substances and their release in the aquatic ecosystem. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Adsorption of estradiol by natural clays and Daphnia magna as biological filter in an aqueous mixture with emerging contaminants
(2021) Cipriani Ávila, Eva Isabel; Capparelli, Mariana V.; Jara Negrete, Eliza Nuit; Alvarado Martínez, Andrés Omar; Cisneros Ramos, Juan Fernando; Tripaldi, Piercosimo; Perez Gonzalez, Bolivar Andres; Pinos Vélez, Verónica Patricia
Among emerging pollutants, endocrine disruptors such as estradiol are of most concern. Conventional water treatment technologies are not capable of removing this compound from water. This study aims to assess a method that combines physicochemical and biological strategies to eliminate estradiol even when there are other compounds present in the water matrix. Na-montmorillonite, Ca-montmorillonite and zeolite were used to remove estradiol in a medium with sulfamethoxazole, triclosan, and nicotine using a Plackett–Burman experimental design; each treatment was followed by biological filtration with Daphnia magna. Results showed between 40 to 92% estradiol adsorption in clays; no other compounds present in the mixture were adsorbed. The most significant factors for estradiol adsorption were the presence of nicotine and triclosan which favored the adsorption, the use of Ca-montmorillonite, Zeolite, and time did not favor the adsorption of estradiol. After the physicochemical treatment, Daphnia magna was able to remove between 0–93% of the remaining estradiol. The combination of adsorption and biological filtration in optimal conditions allowed the removal of 98% of the initial estradiol concentration.
An integrative approach to assess the environmental impacts of gold mining contamination in the Amazon
(2021) Alvear S, Daniela ; Galarza, Emily; Capparelli, Mariana V.; Cabrera, Marcela; Rico, Andreu; Solis, Oscar Lucas; Moulatlet, Gabriel M.; Espinosa, Rodrigo; Pinos Vélez, Verónica Patricia; Perez Gonzalez, Bolivar Andres; Shiguango, Lady; Vasco, Samantha
As the number of legal and illegal gold mining sites increases in the Andes–Amazonia region, integrative methods to evaluate the effects of mining pollution on freshwater ecosystems are of paramount importance. Here, we sampled water and sediments in 11 sites potentially affected by gold mining activities in the Napo province (Ecuador). The environmental impacts were evaluated using the following lines of evidence (LOEs): water physicochemical parameters, metal exposure concentrations, macroinvertebrate community response (AAMBI), and toxicity by conducting bioassays with Lactuca sativa and Daphnia magna. Dissolved oxygen and total suspended solids were under (<80%) and above (>130 mg/Ls) quality standards 65% of the sites. Ag, Al, As, Cd, Cu, Fe, Mn, Pb, and Zn in water and V, B, and Cr in sediments were detected above quality standards at sampled sites. Nine out of eleven sites were classified as having bad environmental quality based on the AAMBI. L. sativa seed germination in both water (37% to 70%) and sediment (0% to 65%) indicate significant toxicity. In five sites, neonates of D. magna showed a 25% reduction in survival compared to the control. Our integrated LOEs index ranked sites regarding their environmental degradation. We recommend environmental impact monitoring of the mining expansion at the Andes–Amazonia region using multiple LOEs.
Characterization of the content of anions and metals in potatoes, tomatoes, and onions marketed in Cuenca, Ecuador to obtain a classification model
(2022) Álvarez Blacio, Astrid María; Piercosimo Tripaldi, Cappelletti; Pinos Vélez, Verónica Patricia; Tonón Ordóñez, María Dolores; Perez Gonzalez, Bolivar Andres; Verdugo Garcia, Joselyn Ines; Castro Castro, Cynthia Paola; Alvitres Medina, Claudia Cecilia
Due to the accelerated growth of the world population, the need for food has increased. Due to the differentiated climatic factors that Ecuador has, the usage of pesticides and fertilizers has increased at an alarming rate, in search of increasing the productivity of crops, which results in an accumulation of residues in food and soil. In this study, the search for concentrations of metals and ions from fertilizers in four high-consumption products will be limited to INIAP Cecilia and Chaucha Amarilla potatoes, Kidney Tomato and Paiteña Onion found in markets and supermarkets. The metals were determined by using inductively coupled plasma spectrometry with a mass spectrometer (ICP-MS). For ions, through a UV-visible spectrophotometer. The values found were within the norm. Differences were found between the metal content of the potato between peel and pulp where the latter will appear at the highest concen - trations. Multivariate statistics showed that the samples are grouped by the planting site and not the type of sample, which shows the importance of the soil and the cultivation process. The generation of a classification model for fed products with the analyzed parameters is discussed.