Microelements of new West Kazakhstan crude oils

Bakirova, S. F.; Aleshin, G.N.; SHestoperova, L.V.; Koryabina, N. M.

doi:10.1016/0031-6458(89)90007-5

Cited by 1 publication

(1 citation statement)

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“…Coal contains around fifty diverse elements, while crude oil and gasoline house thirty-five and twenty different elements, respectively. [16][17][18][19][20][21] Particulate emissions, influenced by fuel type and combustion processes, not only pose health risks but also catalysed the transformation of primary air pollutants into secondary pollutants, corroding and abrading metal surfaces. The continuous pollution of water bodies by industrial and domestic waste exacerbates the transmission of HMs into the ecosystem.…”

Section: Introductionmentioning

confidence: 99%

Review on Agrobiowaste‐mediated Nanohybrids for Removal of Toxic Heavy Metals from Wastewater

Chaudhary,

Singh,

Daddemal‐Chaudhary

et al. 2024

ChemistrySelect

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Because of the growing population and the industrial revolution, a significant number of toxic materials including heavy metals (HMs) are being released into the environment, posing harm to humans, the environment, and other living organisms. When these HMs find their way into water sources, they cause water pollution and pose a threat to the ecosystem. As a result, there is an imperative need to eliminate these HMs from the water. Numerous techniques are being employed for water purification, but adsorption is the most economical and efficient method. The present article critically discussed the applications of different adsorbents including agricultural wastes, industrial wastes, biochar, chitosan, aerogel‐based adsorbents, geopolymer cement/concrete, carbon‐based nanomaterials (NMs), and polymer‐supported nanocomposites (NCs) for removal of HMs from wastewater. Removal capacity of some of the adsorbents are tabulated. Effects of dose of adsorbent, contact time, pH, temperature, initial ion concentration and ionic strength on the removal of HMs from water have been explored. Various adsorption isotherm and kinetic models have also been discussed, including the modeling using artificial neural networks.

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