Determination of biosorption mechanism in biomass of agave, using spectroscopic and microscopic techniques for the purification of contaminated water

[Abstract] Lead (Pb2+) and copper (Cu2+) are polluting metals due to their toxicity; however, the extraction of these metals is essential for economic development, so it is important to look for efficient and low-cost alternatives that can remove heavy metals from the various bodies of water. One of the alternatives used in this work is biosorption, for which an agroindustrial waste (epidermis from Agave atrovirens) was used to evaluate the affinity of removal of lead and copper in aqueous solutions; in addition, spectroscopy and microscopy techniques were used to elucidate and corroborate the removal and affinity capacity of the agave epidermis for both metals studied. The optimal pH value for the removal of both metals was 3. The adsorption isotherms yielded a qmax of 25.7 and 8.6 mg/g for lead and copper, respectively. Adjusting to the Langmuir-Freundlich model, the adsorption kinetics were pseudo-second order, and it was found that the equilibrium time was at 140 min. The spectroscopy and microscopy analyses corroborated the affinity between metals and functional groups of the agave, as well as with the elemental analysis, which reported 17.38% of lead and 4.25% of copper.[Resumen] El plomo (Pb2+) y el cobre (Cu2+) son metales contaminantes debido a su toxicidad; sin embargo, la extracción de estos metales es indispensable para el desarrollo económico, por lo que es importante buscar alternativas eficientes y de bajo costo que puedan remover metales pesados de los diversos cuerpos de agua. Una de las alternativas utilizadas en este trabajo es la biosorción, para la cual se utilizó un residuo agroindustrial (epidermis de Agave atrovirens), para evaluar la afinidad de remoción del plomo y cobre en soluciones acuosas; adicionalmente, se emplearon técnicas de espesctroscopía y microscopía que permitieron elucidar y corroborar la capacidad de remoción y afinidad que tuvo la epidermis de A. atrovirens para ambos metales estudiados. El valor óptimo de pH para la remoción de ambos metales fue 3. Las isotermas de adsorción arrojaron una qmax de 25.7 y 8.6 mg/g para el plomo y cobre, respectivamente. Ajustando al modelo de Langmuir-Freundlich, las cinéticas de adsorción resultaron de pseudo-segundo orden, se encontró que el tiempo de equilibrio es a los 140 min. El análisis espectroscópico y microscópico, corroboró la afinidad entre metales y grupos funcionales del agave, así como con el análisis elemental, el cual reportó 17.38% de plomo y 4.25% de cobre

Análisis de la conductividad térmica efectiva en un generador termoeléctrico segmentado usando Bi2Te3 y PbTe

Los generadores termoeléctricos (TEG), conocidos como dispositivos de estado sólido, se utilizan para generar energía eléctrica a partir de un gradiente de temperatura. Los TEGs son de pequeño tamaño y no necesitan de mantenimiento. En este trabajo, se analiza el transporte de calor en un generador termoeléctrico segmentado compuesto de dos materiales, Bi2Te3 y PbTe, a través de la "conductividad térmica efectiva" (kef).Ésta conductividad, considera la conducción de Fourier en estado estacionario, la generación de calor de Joule y el efecto Seebeck. Además, el valor de ...... no depende de las condiciones de funcionamiento del TEG sino de las propiedades de transporte de los propios materiales semiconductores En el modelo considerado para el TEG segmentado, los resultados obtenidos muestran que los valores óptimos para la conductividad térmica efectiva, eficiencia reducida y finalmente la potencia máxima del sistema corresponden al Bi2Te3.Palabra(s) Clave(s): conductividad térmica, eficiencia, potencia, seebeck, TEG

A Comparative Study of Physical and Chemical Processes for Removal of Biomass in Biofilters

After 6 months of operation a long-term biofilter was stopped for two weeks and then it was started up again for a second experimental period of almost 1.3 years, with high toluene loads and submitted to several physical and chemical treatments in order to remove excess biomass that could affect the reactor’s performance due to clogging, whose main effect is a high pressure drop. Elimination capacity and removal efficiency were determined after each treatment. The methods applied were: filling with water and draining, backwashing, and air sparging. Different flows and temperatures (20, 30, 45 and 60 °C) were applied, either with distilled water or with different chemicals in aqueous solutions. Treatments with chemicals caused a decrease of the biofilter performance, requiring periods of 1 to 2 weeks to recover previous values. The results indicate that air sparging with pure distilled water as well as with solutions of NaOH (0.01% w/v) and NaOCl (0.01% w/v) were the treatments that removed more biomass, working either at 20, 30 or 45 °C and at relatively low flow rates (below 320 L h−1), but with a high biodegradation inhibition after the treatments. Dry biomass (g VS) content was determined at three different heights of the biofilter in order to carry out each experiment under the same conditions. The same amount of dry biomass when applying a treatment was established so it could be considered that the biofilm conditions were identical. Wet biomass was used as a control of the biofilter’s water content during treatments. Several batch assays were performed to support and quantify the observed inhibitory effects of the different chemicals and temperatures applied

Salinity-driven changes in Salicornia cell wall nano-mechanics and lignin composition

Preprint artykułuWidespread increases in soil salinization significantly reduce agricultural lands. Nevertheless, salt-tolerant plants, such as Salicornia europaea L., can play a crucial role in the reclamation of these lands. We selected S. europaea for this study due to its potential to mitigate soil salinization and its numerous applications, such as intercropping in agriculture, biocompounds production and bioenergy. This work was designed to determine whether different salinities induce significant biophysical, anatomical, lignin and gene transcript changes in S. europaea. Through atomic force microscopy (AFM), we revealed that salinity stimulated an increase in cell wall elasticity (CWE) as an important physiological mechanism of adaptation known as cell’s turgor conservation effect. Direct values of the cell wall stiffness subjected to salinity were obtained, with Young’s modulus (E) ranging from low and high salinity 0.52 to 0.03 MPa. The softening of the cell wall properly correlated with an increase in cell size, plant cells under strong salinity 1000 mM NaCl, swelled 5.4 times. The best salinity range found for its optimum growth was 200–400 mM NaCl. At higher salinities, we identified increases in the lignified xylem, large calcium oxalate crystals, and in transcript amounts of SeSOS1 and SeNHX1, which has a significant negative correlation with cell wall stiffness ( 0.57 and 0.95, respectively). The high syringyl and guaiacyl ratio (S/G) in lignin for 0–400 mM NaCl may have influenced the rigidity and hydrophobicity of the cell walls. A positive S/G ratio and sugar yields are associated with higher bioethanol production, these values may also be useful for agriculture, biorefinery, biocompounds and plant-breeding applications. We conclude that salinity indeed influenced the cell wall traits of S. europaea. This halophyte is capable of markedly softening its cell wall as a way of adapting to the high level of salinity. Our presented insights and correlations not only provide a better understanding of cell wall remodelling but are also considered vital traits of adaptation strategies that this halophyte holds under salinity environment. These inputs can also be applied in future research aiming to produce biomass and biofuel or to improve the salinity tolerance during the cultivation of non-tolerant plants, crops and glycophytes, which is a significant challenge in agriculture, particularly in arid and coastal regions. The unique properties of the S. europaea cell walls could also inspire the development of materials with enhanced nanomechanical elasticity for resistance to osmotic stress

Evaluation of the mechanical damage on wheat starch granules by SEM, ESEM, AFM and texture image analysis

The effect of mechanical damage on wheat starch granules surface, at a microstructural level, was investigated by scanning electron microscopy (SEM), environmental scanning electron microscopy (ESEM), atomic force microscopy (AFM), and image textural analysis. The SEM and ESEM images of the native sample showed that the starch granules had smooth, flat surfaces and smooth edges. The samples with higher damaged starch content exhibited granular distortion, irregularity and less uniformity. The fractal dimension of contour parameter increased with mechanical damage, indicating thatthe surface irregularities quantitatively increased due to the damage. The surfaces of damaged granules showed depressions of different shapes and sizes. The roughness parameters and fractal dimension of the surface increased as a result of the mechanical damage. The surface of damaged granules showed higher entropy and lower homogeneity values when damaged starch increased. The results indicated that the mechanical process caused structural modifications at nano level.Fil: Barrera, Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Ciencia y Tecnología de Alimentos Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Instituto de Ciencia y Tecnología de Alimentos Córdoba; ArgentinaFil: Calderón Domínguez, Georgina. Instituto Politécnico Nacional. Escuela Nacional de Ciencias Biológicas; MéxicoFil: Chanona Pérez, Jorge. Instituto Politécnico Nacional. Escuela Nacional de Ciencias Biológicas; MéxicoFil: Gutiérrez López, Gustavo F.. Instituto Politécnico Nacional. Escuela Nacional de Ciencias Biológicas; MéxicoFil: Leon, Alberto Edel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Ciencia y Tecnología de Alimentos Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Instituto de Ciencia y Tecnología de Alimentos Córdoba; ArgentinaFil: Ribotta, Pablo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Ciencia y Tecnología de Alimentos Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Instituto de Ciencia y Tecnología de Alimentos Córdoba; Argentina. Universidad Nacional de Córdoba. Secretaría de Ciencia y Tecnología. Instituto Superior de Investigación, Desarrollo y Servicio de Alimentos; Argentin

Early detection of mechanical damage in mango using NIR hyperspectral images and machine learning

Mango fruit are sensitive and can easily develop brown spots after suffering mechanical stress during postharvest handling, transport and marketing. The manual inspection of this fruit used today cannot detect the damage in very early stages of maturity and to date no automatic tool capable of such detection has been developed, since current systems based on machine vision only detect very visible damage. The application of hyperspectral imaging to the postharvest quality inspection of fruit is relatively recent and research is still underway to find a method of estimating internal properties or detecting invisible damage. This work describes a new system to evaluate mechanically induced damage in the pericarp of ‘Manila’ mangos at different stages of ripeness based on the analysis of hyperspectral images. Images of damaged and intact areas of mangos were acquired in the range 650–1100 nm using a hyperspectral computer vision system and then analysed to select the most discriminating wavelengths for distinguishing and classifying the two zones. Eleven feature-selection methods were used and compared to determine the wavelengths, while another five classification methods were used to segment the resulting multispectral images and classify the skin of the mangos as sound or damaged. A 97.9% rate of correct classification of pixels was achieved on the third day after the damage had been caused using k-Nearest Neighbours and the whole spectra and the figure dropped to 91.4% when only the most discriminant bands were used