Valorization of keratin biofibers for removing heavy metals from aqueous solutions

Four common waste keratin biofibers (human hair, dog hair, chicken feathers, and degreased wool) have been used as biosorbents for the removal of heavy metal ions from aqueous solutions. Different parameters of the biosorption processes were optimized in batch systems. For multiple-metal systems, consisting of a mixture of eight metal ions [Cr(III), Mn(II), Co(II), Ni(II), Cu(II), Zn(II), Cd(II), and Pb(II)], the total metal biosorption increased in the order: degreased wool¿>¿chicken feathers¿>¿human hair¿>¿dog hair. From the kinetic models tested, the pseudo-second-order model provided better results. Furthermore, biosorption isotherms of Pb(II) with the different keratin biofibers fitted the Langmuir model. Surface morphology of the biosorbents were analyzed before and after the sorption using Fourier transform infrared spectroscopy and scanning electron microscopy. The keratin biofibers tested are potentially good sorbents of metal ions, with degreased wool and chicken feathers being the more efficient onesPostprint (author's final draft

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

Influence of organic matter and CO2 supply on bioremediation of heavy metals by Chlorella vulgaris and Scenedesmus almeriensis in a multimetallic matrix

Producción CientíficaThis research evaluated the influence of organic matter (OM) and CO2 addition on the bioremediation potential of two microalgae typically used for wastewater treatment: Chlorella vulgaris (CV) and Scenedesmus almeriensis (SA). The heavy metal (HM) removal efficiencies and biosorption capacities of both microalgae were determined in multimetallic solutions (As, B, Cu, Mn, and Zn) mimicking the highest pollutant conditions found in the Loa river (Northern Chile). The presence of OM decreased the total biosorption capacity, specially in As (from 2.2 to 0.0 mg/g for CV and from 2.3 to 1.7 mg/g for SA) and Cu (from 3.2 to 2.3 mg/g for CV and from 2.1 to 1.6 mg/g for SA), but its influence declined over time. CO2 addition decreased the total HM biosorption capacity for both microalgae species and inhibited CV growth. Finally, metal recovery using different eluents (HCl, NaOH, and CaCl2) was evaluated at two different concentrations. HCl 0.1 M provided the highest recovery efficiencies, which supported values over 85% of As, 92% of Cu, and ≈100% of Mn and Zn from SA. The presence of OM during the loaded stage resulted in a complete recovery of As, Cu, Mn, and Zn when using HCl 0.1 M as eluent.Gobierno regional de Castilla y León (UIC 071, CLU 2017-09 and VA080G18)Ministerio de Ciencia, Innovación y Universidades (project CTQ2017-84006-C3-1-R)Unión Europea - FEDER (CLU 2017-09 and CTQ2017-84006-C3-1-R

Stress distribution of secondary bending in single-lap bolted joints with dissimilar joining plates and plate types

Single-lap joints are an important class of bolted joint in the aerospace and civil engineering sectors. This type of joint is preferred as it can reduce weight and hence help to optimize fuel efficiency. However, bolted single-lap joints exhibit secondary bending due to eccentricity of the applied loads. Flexural of plates during tensile loading alters the contact regions in the single-lap joint significantly, resulting in more non-linear behaviour and a stress gradient across the plate thickness. 3-D bolted single-lap joint were modelled in ABAQUS CAE incorporating the effect of the bolt tension from application of a tightening torque. Current 3-D model used elastic properties based on smeared-out properties, the effect of joint construction is considered further by examining the stress in a composite-composite joint and comparing with a composite-steel joint. In a related investigation the effect of varying composite thickness in the composite-steel joints is also studied

Obtaining a bioadsorbent from orange peel suitable for batch and continous treatment

One form of chemical contamination involves the contribution of heavy metals to the ecosystem mainly from industrial spills and mining operations. The most toxic heavy metals are cadmium, copper, chromium, mercury, nickel, lead and zinc. The importance of this type of toxic lies in the tendency to be accumulated and concentrated by the different species, being more dangerous as it ascends the evolutionary chain towards man.Chemical precipitation is the most widely used technique for metal recovery. This process is conditioned by the pH, metal concentration and anions present in the water to be treated.Bioadsorption is considered a viable alternative to the physico-chemical methods currently used for the recovery or removal of heavy metals dissolved in liquid effluents. Its main attractiveness, from an industrial point of view, is its low cost dueto the great abundance, easy obtaining and low price of the bioadsorbent material. Bioadsorption is very effective in the treatment of metal concentrations below 100 mg/L, where the application of physical-chemical methods is not technically and economically feasible.One of these materials of interest is orange peelsbecause, due to their abundance as a waste product of the food industries, they have problems for their disposal and currently have little economic value. However, this residue has a low adsorption capacity, so both physical and chemical modifications arerequired to increase its adsorption properties.The objective of this work has been to optimize the treatment of orange peel intended to obtain a bioadsorbent that allows the removal of heavy metals both in a discontinuous process (Batch) and in an ongoing process. The verification of the characteristics of the bioadsorbent obtained has been carried out with a series of synthetic solutions of Cu (II).The particle size and consistency of the final bioadsorbent has been optimized. In addition, to achieve a homogeneous elution in the continuous process, additional heat treatment has been necessary to prevent the development of microorganisms in a period of time less than one week.Peer ReviewedPostprint (published version

Structural modelling of cost overrun factors in construction industry

Construction industry contributes significantly in improving socio-economic growth of a country. However, this industry usually faces chronic problems such as time overrun, cost overrun, poor quality and others. Of all these, cost overrun is a major problem that occurs globally including Malaysia. Cost overrun is resulted from various factors which are essential to identify for improving cost performance in construction project. Hence, this study focused on identifying and modelling the factors of cost overrun for construction projects in Malaysia. Data collection was done through structured questionnaire, which was designed based on 78 factors found from the literature. Qualitative pilot study was done based on the opinions of 15 experts in the construction industry to improve the questionnaire by reducing the factors to 58. The questionnaire survey was carried out among clients, consultants and contractors. A total of 231 questionnaires were collected of which 213 responses were found valid. Partial Least Square Structural Equation (PLS-SEM) model was developed based on 8 categories/constructs generated through factor analysis test and found that Global Fit Index (GOF) of the model to be 0.37. The findings from the model indicate that all the 8 categories have significant effect on the cost overrun. The most significant category is contractor's site management related issues with path co-efficient value of 0.448. The developed model was validated statistically (using power analysis and predictive relevancy) and through interviewing 21 experienced practitioners. Statistical validation tests showed that the developed model had achieved substantial power in explaining cost overrun problem. All the experts agreed with the factors and also categories of the model have significant impact to cost overrun