Data on Jamun Seed (Syzygium cumini) Biochar; surface properties, and adsorption of Ciprofloxacin and Lamivudine: Part 2
Description
Initial characterization was conducted on biochar prepared from Jamun Seed (JS) (Syzygium cumini), and used for adsorptive remediation of ciprofloxacin and lamivudine from synthetic water by application of response surface methodology optimization and presented as Part 1 on Mendeley data. This data presents the results of final characterization of JS biochar (Functional groups, Surface properties, and bonding)
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Initial elemental characterization to obtain the content of carbon, hydrogen, nitrogen, sulfur, and oxygen of the material was conducted using the CHNS analyser (Flash 2000), similarly as reported by Manmeen and Coallegues [161]. The FTIR model V755 Perkin Elmer was used to study the surface functional groups of the material [162]. The characteristics of the surface area, volume, and pore size were obtained using a QUANTACROME 1000 L-Se series porosimeter [163]. The determination of specific surface areas and pore size distributions of JS biochar was conducted using BET analysis [163]. This technique is based on the physical adsorption of inert gas, in this case nitrogen was used, on the solid surface of the sample [163]. Detailed structural and chemical information of the JS samples at atomic and subatomic levels were obtained using Talos F200X G2 (S)TEM, a high-resolution imaging and analysis equipment [164]. X-ray diffraction (XRD) model 7000 Shimadzu, a versatile non-destructive analytical technique used to analyze physical properties such as phase composition, crystal structure and orientation of powder [165]. Examination of the surface of materials at high magnifications and resolutions was achieved by using Carl Zeiss S 3400, a scanning electron microscope (SEM) model from German, capable of producing high-quality imaging and versatile features [166]. The addition of an Energy Dispersive X-ray Spectroscopy (EDX) detector enhances its analytical capabilities by allowing elemental composition analysis [166].
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Funding
University of Dodoma
PhD 2021