Optimization of process parameters for the microbial synthesis of silver nanoparticles using 3-level Box–Behnken Design

Krupa, A. Nithya Deva; Abigail, M. Evy Alice; Santhosh, Chella; Grace, Andrews Nirmala; Raghavan, Vimala

doi:10.1016/j.ecoleng.2015.11.030

Cited by 25 publications

(10 citation statements)

References 30 publications

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“…Visual observation for silver nanoparticle formation is facilitated when colour change follows the conversion of silver ions to silver nanoparticles. In view of this, silver nanoparticle formation was monitored by visually checking the colour changes, and when the colour of the solution does not change further, the reaction was halted [57][58][59]. ere was a gradual change in reaction mixture's colour from colourless into brown in 50 minutes because of silver nanoparticle formation within the solution, as illustrated in Figure 1(a).…”

Section: Optical Studiesmentioning

confidence: 99%

Colorimetric Detection Based on Localized Surface Plasmon Resonance Optical Characteristics for Sensing of Mercury Using Green-Synthesized Silver Nanoparticles

Alzahrani

2020

Journal of Analytical Methods in Chemistry

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Development of selective colorimetric detectors that can use green-fabricated silver nanoparticles’ (AgNPs) with localized surface plasmon resonances (LSPRs) to rapidly, simply, and selectively detect HgII ions was undertaken in this study. Onion extract was used for synthesising photo-induced green crystalline silver nanoparticles (NPs). The formation of nanoparticles is enhanced when ultrasound irradiation is present; bioligands could serve as stabilizing and reducing agents. Different methods of measurement, including UV-Vis, TEM,SEM/EDAX,FT−IR, and XRD, are effective for characterization of nanoparticles. The spherical nature of green-fabricated AgNPs is confirmed by TEM. High-density, spherical, and uniformly formed silver nanoparticle shapes were found in silver nanoparticle SEM images. The arrangement of AgNPs in the form of face-centered cubic structures was confirmed by XRD patterns. The formation of impurity-free AgNPs was confirmed using the EDAX analysis results. Hg2+ with excellent sensitivity was sensitively and selectively detected by employing green-synthesized silver nanoparticles. The reduction of Ag (1) to Ag (0) was confirmed by a slight increase in Hg (II) concentration and progressive reduction of green-synthesized AgNPs, whose absorbance changed abruptly. The reduction of LSPRs by the phosphate buffer medium enables AgNPs to sensitively and selectively detect Hg2+ ions by providing good environment. Besides, a selective, sensitive, simple, and rapid method that is proposed for detecting Hg (II) ions in samples of water is presented in the study. Harmful mercury ions in real samples of water (tap and ground water) can colorimetrically and selectively be detected using the AgNPs. The results showed an RSD of below 6% and over 92% of good recovery.

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Section: Optical Studiesmentioning

confidence: 99%

Colorimetric Detection Based on Localized Surface Plasmon Resonance Optical Characteristics for Sensing of Mercury Using Green-Synthesized Silver Nanoparticles

Alzahrani

2020

Journal of Analytical Methods in Chemistry

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“…Therefore, the change in colour was visually monitored to check for the formation of SNPs and the reaction was stopped when there was no additional change in the solution colour. [40][41][42] Figure 1A shows that the colour of the reaction mixture prepared using a sonication bath or stirrer gradually changed from colourless to brown within 30 minutes due to the formation of SNPs in the solution. In addition, it was observed that there was a difference in the colour of the prepared SNPs using a sonication bath compared with a stirrer.…”

Section: Characterisation Of Acacia Gum-stabilised Snpsmentioning

confidence: 99%

Colorimetric Detection Based on Localised Surface Plasmon Resonance Optical Characteristics for the Detection of Hydrogen Peroxide Using Acacia Gum–Stabilised Silver Nanoparticles

Alzahrani

2017

Anal Chem�Insights

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The use of nanoparticles in sensing is attracting the interest of many researchers. The aim of this work was to fabricate Acacia gum–stabilised silver nanoparticles (SNPs) using green chemistry to use them as a highly sensitive and cost-effective localised surface plasmon resonance (LSPR) colorimeter sensor for the determination of reactive oxygen species, such as hydrogen peroxide (H2O2). Silver nanoparticles were fabricated by the reduction of an inorganic precursor silver nitrate solution (AgNO3) using white sugar as the reducing reagent and Acacia gum as the stabilising reagent and a sonication bath to form uniform silver nanoparticles. The fabricated nanoparticles were characterised by visual observation, ultraviolet-visible (UV-Vis) spectrophotometry, transmission electron microscopy (TEM) analysis, energy-dispersive X-ray spectroscopy (EDAX), thermogravimetric analysis (TGA), and Fourier transform infrared spectroscopy (FT-IR). The TEM micrographs of the synthesised nanoparticles showed the presence of spherical nanoparticles with sizes of approximately 10 nm. The EDAX spectrum result confirmed the presence of silver (58%), carbon (30%), and oxygen (12%). Plasmon colorimetric sensing of H2O2 solution was investigated by introducing H2O2 solution into Acacia gum–capped SNP dispersion, and the change in the LSPR band in the UV-Vis region of spectra was monitored. In this study, it was found that the yellow colour of Acacia gum–stabilised SNPs gradually changed to transparent, and moreover, a remarkable change in the LSPR absorbance strength was observed. The calibration curve was linear over 0.1–0.00001 M H2O2, with a correlation estimation (R2) of .953. This was due to the aggregation of SNPs following introduction of the H2O2 solution. Furthermore, the fabricated SNPs were successfully used to detect H2O2 solution in a liquid milk sample, thereby demonstrating the ability of the fabricated SNPs to detect H2O2 solution in liquid milk samples. This work showed that Acacia gum–stabilised SNPs may have the potential as a colour indicator in medical and environmental applications.

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“…In a conventional experimental design, a single treatment factor is usually considered at a time while maintaining other variables consistent, which may lead to unreliable results and inaccurate conclusions because it is unable to detect any interactions among the treatment factors and cannot guarantee the optimal conditions (Montgomery, 2013). To overcome these limitations, response surface methodology (RSM) considers simultaneously different treatment factors, which may be applied, and can not only reduce the experimental number and identify the significant treatment conditions, but can also be employed to optimise the treatment processes (Bukzem et al, 2016;Krupa et al, 2016). To optimise process conditions, a statistical method, Box-Behnken design (BBD), is employed to overcome the limitations of classic empirical methods and proves to be a powerful tool for optimising the target value (Kirboga & € Oner, 2017).…”

Section: Introductionmentioning

confidence: 99%

Microwave‐assisted degradation of chitosan with hydrogen peroxide treatment using Box‐Behnken design for enhanced antibacterial activity

Zhang

Chen

et al. 2017

Int J of Food Sci Tech

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SummaryLow molecular mass (MM) chitosan with high degree of deacetylation (DDA) has excellent bioactivity including antioxidant, antibacterial and encapsulation properties. In this work, to reduce the MM of chitosan, microwave-assisted heating treatment (MAHT) conditions were investigated using three factors at three levels Box-Behnken design (BBD). Microwave heating (MH) time, H 2 O 2 concentration and solid-toliquid ratio significantly affected the DDA and MM of chitosan. The antibacterial activities of chitosan before and after degradation were investigated based on minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC). The results showed that a second-order polynomial equation fitted the observed values using multiple regression analysis and had a high coefficient of determination (R 2 = 0.9591 and 0.9161 for the DDA and MM of chitosan, respectively). An optimisation study was performed using Derringer's desirability function methodology, and the optimal conditions were 80-s MH time, 1.5% H 2 O 2 concentration and 1:40 solid-to-liquid ratio. The MIC and MBC of chitosan before and after degradation against Escherichia coli and Salmonella typhimurium were 0.031 and 0.063 mg mL À1 , and 0.25 and 0.125 mg mL À1 , respectively. The optimised DDA and MM of chitosan were 90.58 AE 2.04% and 124.25 AE 14.36 kDa, respectively, which significantly reduces the use of oxidant reagent.

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Optimization of process parameters for the microbial synthesis of silver nanoparticles using 3-level Box–Behnken Design

Cited by 25 publications

References 30 publications

Colorimetric Detection Based on Localized Surface Plasmon Resonance Optical Characteristics for Sensing of Mercury Using Green-Synthesized Silver Nanoparticles

Colorimetric Detection Based on Localized Surface Plasmon Resonance Optical Characteristics for Sensing of Mercury Using Green-Synthesized Silver Nanoparticles

Colorimetric Detection Based on Localised Surface Plasmon Resonance Optical Characteristics for the Detection of Hydrogen Peroxide Using Acacia Gum–Stabilised Silver Nanoparticles

Microwave‐assisted degradation of chitosan with hydrogen peroxide treatment using Box‐Behnken design for enhanced antibacterial activity

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