Biomolecular assisted synthesis and mechanism of silver and gold nanoparticles

Samanta, Sreeparna; Agrawal, Shivankar; Nair, Kishore Kumar; Harris, Richard Anthony; Swart, H.C.

doi:10.1088/2053-1591/ab296b

Cited by 31 publications

(19 citation statements)

References 193 publications

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“…Derivatives of phenols such as tannins are identified to be more efficient in reduction of silver salts into silver nanoparticles. Concentration of reducing agents and the silver salt used, pH, temperature and duration of incubation are critical parameters for the biosynthesis to occur [79] , [80] , [81] , [82] , [83] , [84] . Therefore, the phytochemicals identified by GC-MS, in this study, could be possible reductants and/or encapsulates on the nanoparticles from the catkin extract.…”

Section: Resultsmentioning

confidence: 99%

Synthesis, optimization and characterization of silver nanoparticles using the catkin extract of Piper longum for bactericidal effect against food-borne pathogens via conventional and mathematical approaches

Huang

Shan

Liu

et al. 2020

Bioorganic Chemistry

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Section: Resultsmentioning

confidence: 99%

Synthesis, optimization and characterization of silver nanoparticles using the catkin extract of Piper longum for bactericidal effect against food-borne pathogens via conventional and mathematical approaches

Huang

Shan

Liu

et al. 2020

Bioorganic Chemistry

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“…51 As such, oxidative stress response enzymes and small molecules with antioxidant activity likely attempt to mitigate these negative effects by detoxifying Ag + ions through reduction or increasing efflux. 29,52,53 Many of the sRNAs we screened were selected based on their putative role in the oxidative stress response in D. radiodurans; thus, these sRNAs probably influence AgNP biosynthesis by regulating pathways involved in oxidative stress response processes. The possibility that the sRNAs that most significantly affected AgNP biosynthesis (Dsr9KD, Dsr19KO, and Dsr20KD) are integrated within oxidative stress pathways is supported by computational IntaRNA predictions of mRNA targets that they could regulate; specifically, the top 100 predictions (those with lowest predicted thermodynamic binding potential) included ferredoxin and superoxide dismutase as well as oxidoreductases, dehydrogenases, transcriptional regulators, and transporters.…”

Section: ■ Results and Discussionmentioning

confidence: 99%

Small RNAs as a New Platform for Tuning the Biosynthesis of Silver Nanoparticles for Enhanced Material and Functional Properties

Chen

Hernández-Vargas

Han

et al. 2021

ACS Appl. Mater. Interfaces

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Genetic engineering of nanoparticle biosynthesis in bacteria could help facilitate the production of nanoparticles with enhanced or desired properties. However, this process remains limited due to the lack of mechanistic knowledge regarding specific enzymes and other key biological factors. Herein, we report on the ability of small noncoding RNAs (sRNAs) to affect silver nanoparticle (AgNP) biosynthesis using the supernatant from the bacterium Deinococcus radiodurans. Deletion strains of 12 sRNAs potentially involved in the oxidative stress response were constructed, and the supernatants from these strains were screened for their effect on AgNP biosynthesis. We identified several sRNA deletions that drastically decreased AgNP yield compared to the wild-type (WT) strain, suggesting the importance of these sRNAs in AgNP biosynthesis. Furthermore, AgNPs biosynthesized using the supernatants from three of these sRNA deletion strains demonstrated significantly enhanced antimicrobial and catalytic activities against environmentally relevant dyes and bacteria relative to AgNPs biosynthesized using the WT strain. Characterization of these AgNPs using electron microscopy (EM), energy-dispersive X-ray spectroscopy (EDX), X-ray photoelectron spectroscopy (XPS), and X-ray diffraction (XRD) revealed that the deletion of these small RNAs led to changes within the supernatant composition that altered AgNP properties such as the surface chemistry, surface potential, and overall composition. Taken together, our results demonstrate that modulating specific sRNA levels can affect the composition of supernatants used to biosynthesize AgNPs, resulting in AgNPs with unique material properties and improved functionality; as such, we introduce sRNAs as a new platform for genetically engineering the biosynthesis of metal nanoparticles using bacteria. Many of the sRNAs examined in this work have potential regulatory roles in oxidative stress responses; further studies into their targets could help provide insight into the specific molecular mechanisms underlying bacterial biosynthesis and metal reduction, enabling the production of nanoparticles with enhanced properties.

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“…Previous studies revealed that bacterial NCR could reduce inorganic ions asso ciated with the electron transfer and multiple metabolic path ways such as glucose metabolism. [30,31] We studied the glu cose and NCR levels in different bacteria that may contribute to the features of the biosynthetic AuNPs, given that both are involved in bacterial synthesis. [13,31,32] We measured glucose levels in different bacteria orders showing a significantly lower concentration in Bacillales compared with Enterobacteriales (Figure S17a, Supporting Information).…”

Section: Mechanism Study On Biomolecules From Fungi and Bacteriamentioning

confidence: 99%

A New Strategy for Microbial Taxonomic Identification through Micro‐Biosynthetic Gold Nanoparticles and Machine Learning

et al. 2022

Advanced Materials

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Scheme 1. Schematic illustration of microbial taxonomic identification through biosynthetic AuNPs and machine learning. 1) Microorganism-mediated biosynthesis of AuNPs in solution. 2) Characterizations of biosynthetic AuNPs including diameter, SPR spectrum, surface potential, and transmission electron microscopy (TEM). 3) Features of the biosynthetic AuNPs as a data set of input for machine-learning-based analysis. 4) Data processing and analysis including PCA, LDA, and RF. 5) Output of the data analysis for visualization, including scatter charts, histograms, and line charts. 6) Taxonomic identification and the clustering tree through machine-learning-based analysis of biosynthetic AuNPs.

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Biomolecular assisted synthesis and mechanism of silver and gold nanoparticles

Cited by 31 publications

References 193 publications

Synthesis, optimization and characterization of silver nanoparticles using the catkin extract of Piper longum for bactericidal effect against food-borne pathogens via conventional and mathematical approaches

Synthesis, optimization and characterization of silver nanoparticles using the catkin extract of Piper longum for bactericidal effect against food-borne pathogens via conventional and mathematical approaches

Small RNAs as a New Platform for Tuning the Biosynthesis of Silver Nanoparticles for Enhanced Material and Functional Properties

A New Strategy for Microbial Taxonomic Identification through Micro‐Biosynthetic Gold Nanoparticles and Machine Learning

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