Cr(VI) reduction and adsorption by bimetallic nanoparticles from Li-ion batteries.

In this work, bimetallic nanoparticles of cobalt and copper (NPLIB) were synthetized from obsolete Li-ion batteries cellphones and applied for the first time in the Cr(VI) removal. NPLIB has approximately 50 and 40% of Co and Cu content, respectively. The material is composed of Cu0 and Co0 but also presents metal oxides on its surface. The nanoparticles have spherical morphology and a high agglomeration capacity. The cobalt was better distributed on the surface, while copper was present in small scattered clusters. The NPLIB have an average diameter of 13.5 nm being confirmed the formation of the core-shell structure. The point of zero charge was calculated as 8.3. The NPLIB were used in the Cr(VI) removal process in aqueous solution, exhibiting a removal efficiency of ≈ 90% in 60 min of reaction. The kinetics study showed a mechanism consisting of two phases and better fit by pseudo-second-order model. The first phase is faster than the second. It is possible to observe peaks related to the oxidation of Co and Cu in the post reaction NPLIB by X-ray diffraction analysis, suggesting the modification of the material. Raman spectroscopy has shown that Cr(VI) is reduced to Cr(III) and remains bound to the surface of the nanoparticle, even after the desorption process, reducing its removal efficiency in new cycles. Graphical abstract.

Portable near infrared spectroscopy applied to fuel quality control.

Fuel quality control has gained interest in many countries owing to the potential damage of low-quality fuel to engines, the environment, and economy. Thus, the application of analytical techniques to verify quality control of fuels has become crucial. The portable micro-spectrometer in the near infrared region (microNIR) has gained credibility as a successful analytical technique in several quality control sectors. The possibility of real-time analysis using a nondestructive and reliable method is the main advantage of this methodology. In this work, chemometric models (PLS) were developed using microNIR data to determine the amount of biodiesel in diesel (LODBio = 0.5wt%; LOQBio = 1.8wt%; and RMSEPBio = 1.8wt%); sulfur in diesel (LODS = 2.4mgL-1; LOQS = 8.0mgL-1; and RMSEPS = 13.2mgL-1); gasoline, ethanol, and methanol in C-type gasoline (LODgas = 0.55wt%; LOQgas = 1.84wt%; and RMSEPgas = 0.81wt%; LODeth = 0.75wt%; LOQeth = 2.5wt%; and RMSEPeth = 3.81wt%; and LODmet = 0.85wt%; LOQmet = 2.84wt%; and RMSEPmet = 1.80wt%); and water, methanol, and ethanol in ethanol-hydrated fuel (EHF) (LODH2O = 0.04wt%; LOQH2O = 1.29wt%; and RMSEPH2O = 1.05wt%; LODmet = 0.52wt%; LOQmet = 1.73wt%; and RMSEPmet = 2.78wt%; and LODeth = 1.22wt%; LOQeth = 4.07wt%; and RMSEPeth = 4.41wt%). A total of 181 blends were prepared, with biodiesel and sulfur contents ranging from 0 to 100wt% and 10-500mgL-1, respectively. For gasoline blends, the gasoline, ethanol, and methanol contents ranged from 0.0 to 75.0wt%, 25.0-75.0wt%, and 0.0-50.0wt%, respectively. In the EHF control, the ethanol, water, and methanol contents ranged from 0.0 to 100.0wt%, 0.0-50.0wt%, and 0.0-50.0wt%, respectively. The proposed method presented high precision and accuracy in all cases, and the results showed that the microNIR technique had excellent performance in fuel quality control.