2016
DOI: 10.1007/s10876-016-1062-3
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Synthesis and Catalytic Evaluation of Silver Nanoparticles Synthesized with Aloysia triphylla Leaf Extract

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Cited by 12 publications
(4 citation statements)
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“…Therefore, A. triphylla is an excellent candidate for the green synthesis of gold nanoparticles due to its properties. To our knowledge, this plant only has been used before for silver nanoparticles in a previous report (López-Miranda et al 2016). In this work, we are proposing the synthesis of AuNPs using aqueous extracts of A. triphylla and evaluating the gold nanoparticles antibacterial and catalytic properties for medical and environmental applications.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, A. triphylla is an excellent candidate for the green synthesis of gold nanoparticles due to its properties. To our knowledge, this plant only has been used before for silver nanoparticles in a previous report (López-Miranda et al 2016). In this work, we are proposing the synthesis of AuNPs using aqueous extracts of A. triphylla and evaluating the gold nanoparticles antibacterial and catalytic properties for medical and environmental applications.…”
Section: Introductionmentioning
confidence: 99%
“…Chemical reduction method is the most widely used way. However, some chemical regents used in this method to reduce or stabilise AgNPs are considered hazardous, which affected the biological applications of AgNPs [3, 4]. So biological processes are preferred for environmental and economic concerns.…”
Section: Introductionmentioning
confidence: 99%
“…Among all these active compounds, flavonoids and reducing sugars were proved to be the most important reductants during the synthetic process [12]. Synthesised AgNPs showed some good biomedical activities, for instance antimicrobial activity [13][14][15], catalytic activity [4] and antitumor activity [16].…”
mentioning
confidence: 99%
“…4C). The face-centred cubic (fcc) structure of metallic silver can be used to index the interplanar distances of the diffraction rings (Luis López-Miranda et al, 2016).…”
Section: Tem Analysismentioning
confidence: 99%