2020
DOI: 10.1049/iet-nbt.2020.0001
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Salacia mulbarica leaf extract mediated synthesis of silver nanoparticles for antibacterial and ct‐DNA damage via releasing of reactive oxygen species

Abstract: In this examination, we researched the advantages of DNA fragmentation and metallic nanoparticles well-appointed with biomolecules. A novel interpretation of DNA damage by Silver Nano-Clusters (AgNCs) which were developed by the utilization of green synthesis method was demonstrated. The green synthesis of AgNCs was accomplished by utilizing the leaf extract of Salacia mulbarica (SM). The preparation of SM-AgNCs was developed by estimating surface plasmon resonance peak around 449 nm by using a UV-Visible spec… Show more

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Cited by 5 publications
(5 citation statements)
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“…Essentially, the reduction of silver ions to silver nanoparticles is proven by a color change from light yellow to black at ambient temperature and a reaction time of 180 min, as shown in Figure 3 . Significant absorption peaks were detected at 428–436 nm as a result of a quantum mechanical process known as surface plasmon resonance, which leads in the creation of silver nanoparticles within polymer networks with the help of polymer chains [ 31 , 32 ].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Essentially, the reduction of silver ions to silver nanoparticles is proven by a color change from light yellow to black at ambient temperature and a reaction time of 180 min, as shown in Figure 3 . Significant absorption peaks were detected at 428–436 nm as a result of a quantum mechanical process known as surface plasmon resonance, which leads in the creation of silver nanoparticles within polymer networks with the help of polymer chains [ 31 , 32 ].…”
Section: Resultsmentioning
confidence: 99%
“…The DOX-loaded TMGA hydrogel ( Figure 4 D) showed characteristic DOX peaks at two theta values: 17.52°, 19.53° and 25.29°, showing that DOX is physically present, chemically stable and molecularly distributed within the hydrogel network. The XRD pattern of the TMGA-Ag hydrogel ( Figure 4 E) showed typical peaks at 38.46°, 44.41°, 63.12° and 76.46° for planes (111), (200), (220) and (311), respectively [ 31 , 32 ]. These findings suggest that the silver nanoparticles found in the hydrogel network are face-centered cubic crystals in nature.…”
Section: Resultsmentioning
confidence: 99%
“…The results show that TMGbased hydrogels can be successfully synthesized using simple free radical polymerization, DOX can be incorporated in TMGA hydrogels, and silver nanoparticles can be produced in an environmentally safe manner. Figure 2 detected at 428-436 nm as a result of a quantum mechanical process known as surface plasmon resonance, which leads in the creation of silver nanoparticles within polymer networks with the help of polymer chains [32,33]. 200), (220), and (311), respectively [32,33].…”
Section: Ftir Spectroscopy Studiesmentioning
confidence: 99%
“…Figure 2 detected at 428-436 nm as a result of a quantum mechanical process known as surface plasmon resonance, which leads in the creation of silver nanoparticles within polymer networks with the help of polymer chains [32,33]. 200), (220), and (311), respectively [32,33]. These findings suggest that the silver nanoparticles found in the hydrogel network are facecentered cubic crystals in nature.…”
Section: Ftir Spectroscopy Studiesmentioning
confidence: 99%
“…Recently, Nagesh et al ( 2022 ) synthesized silver nanomaterials from the roots of S. chinensis , which is able to modulate biological properties such as antibacterial, antifungal, and antiproliferative effects. The leaf extract–derived silver nanoparticles from S. mulbarica proved to be a better antibacterial agent against E. coli and B. subtilis and also possess the capability of ct-DNA damage via releasing of reactive oxygen species (Espenti et al 2020 ). In recent times, environmentally benign silver bio-nanomaterials have been synthesized from the root extracts of S. oblonga and served as potent antioxidant, antibacterial, and anti-diabetic agents (Dugganaboyana et al 2023 ).…”
Section: Introductionmentioning
confidence: 99%