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      Potentiality of the green synthesized silver nanoparticles for heavy metal removal using Laurencia papillosa seaweed

      , , ,
      The Egyptian Journal of Aquatic Research
      Elsevier BV

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          Size-controlled silver nanoparticles synthesized over the range 5–100 nm using the same protocol and their antibacterial efficacy

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            Characterization of silver nanoparticles by green synthesis method using Pedalium murex leaf extract and their antibacterial activity

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              A rapid method to estimate the concentration of citrate capped silver nanoparticles from UV-visible light spectra.

              We present a generalized table of extinction coefficient data for silver nanoparticles from 8 to 100 nm. This table allows for easy and quick estimation of the concentration and size of modified and mono-dispersed silver nanoparticles from their optical spectra. We obtained data by determining the silver content of citrate-stabilised silver nanoparticles using sodium cyanide to dissolve the nanoparticles, and measuring solution conductivity with a pH meter and a cyanide-ion selective electrode. The quantification of the silver ion concentration enabled the calculation of extinction coefficients. Experimentally calculated extinction coefficients, in the current work, are in good agreement with collated literature values measured by different authors with non-standardized methodology and each for a limited range of particle size. They are also in good agreement with our theoretical calculations using Mie theory. Thus, we provide a highly standardized and comprehensive tabulated reference data-set.
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                Author and article information

                Contributors
                Journal
                The Egyptian Journal of Aquatic Research
                The Egyptian Journal of Aquatic Research
                Elsevier BV
                16874285
                December 2023
                December 2023
                : 49
                : 4
                : 513-519
                Article
                10.1016/j.ejar.2023.10.001
                4c885f3a-df26-4007-a72e-a517365b22a2
                © 2023

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by-nc-nd/4.0/

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