Computational analysis of drug free silver triangular nanoprism theranostic probe plasmonic behavior for in-situ tumor imaging and photothermal therapy.
Cancer treatment
FDTD computational modelling
Photoacoustic imaging (PAI)
Photothermal therapy
Plasmonic nanoparticles
Silver triangular nanoprisms
Theranostic probe
Journal
Journal of advanced research
ISSN: 2090-1224
Titre abrégé: J Adv Res
Pays: Egypt
ID NLM: 101546952
Informations de publication
Date de publication:
11 2022
11 2022
Historique:
received:
11
11
2021
revised:
11
02
2022
accepted:
14
02
2022
entrez:
3
11
2022
pubmed:
4
11
2022
medline:
8
11
2022
Statut:
ppublish
Résumé
The advanced features of plasmonic nanomaterials enable initial high accuracy detection with different therapeutic intervention. Computational simulations could estimate the plasmonic heat generation with a high accuracy and could be reliably compared to experimental results. This proposed combined theoretical-experimental strategy may help researchers to better understand other nanoparticles in terms of plasmonic efficiency and usability for future nano-theranostic research. To develop innovative computationally-driven approach to quantify any plasmonic nanoparticles photothermal efficiency and effects before their use as therapeutic agents. This report introduces drug free plasmonic silver triangular nanoprisms coated with polyvinyl alcohol biopolymer (PVA-SNT), for in vivo photoacoustic imaging (PAI) guided photothermal treatment (PTT) of triple-negative breast cancer mouse models. The synthesized PVA-SNT nanoparticles were characterized and a computational electrodynamic analysis was performed to evaluate and predict the optical and plasmonic photothermal properties. The in vitro biocompatibility and in vivo tumor abalation study was performed with MDA-MB-231 human breast cancer cell line and in nude mice model. The drug free 140 μg∙mL This is a first complete study on computational simulations to estimate the plasmonic heat generation followed by drug free plasmonic PAI guided PTT for cancer treatment. This computationally-driven theranostic approach demonstrates an innovative thought regarding the nanoparticles shape, size, concentration, and composition which could be useful for the prediction of photothermal heat generation in precise nanomedicine applications.
Identifiants
pubmed: 36328751
pii: S2090-1232(22)00050-9
doi: 10.1016/j.jare.2022.02.006
pmc: PMC9637560
pii:
doi:
Substances chimiques
Silver
3M4G523W1G
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
23-38Informations de copyright
Copyright © 2022. Production and hosting by Elsevier B.V.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Références
Anal Chem. 2003 Dec 15;75(24):6894-900
pubmed: 14670050
Nat Commun. 2020 Mar 27;11(1):1590
pubmed: 32221287
J Am Chem Soc. 2011 Nov 23;133(46):18931-9
pubmed: 21999679
J Biomed Opt. 2009 Mar-Apr;14(2):021007
pubmed: 19405720
Chem Rev. 2011 Jun 8;111(6):3669-712
pubmed: 21395318
Prog Mater Sci. 2019 Jan;99:1-26
pubmed: 30568319
J Adv Res. 2020 Jan 25;23:13-23
pubmed: 32071788
ACS Nano. 2010 Jun 22;4(6):3259-69
pubmed: 20503969
Nat Biotechnol. 2007 Oct;25(10):1165-70
pubmed: 17891134
Dalton Trans. 2016 Jun 14;45(24):9827-34
pubmed: 26875498
Acc Chem Res. 2007 Oct;40(10):1067-76
pubmed: 17616165
Small. 2010 Apr 9;6(7):811-7
pubmed: 20225187
J Control Release. 2019 Oct;311-312:26-42
pubmed: 31401198
ACS Nano. 2018 Jun 26;12(6):6252-6262
pubmed: 29791136
Dalton Trans. 2014 Aug 14;43(30):11709-15
pubmed: 24950757
Adv Sci (Weinh). 2018 Aug 24;5(10):1800382
pubmed: 30356957
Angew Chem Int Ed Engl. 2009;48(1):60-103
pubmed: 19053095
Nat Commun. 2019 Feb 15;10(1):768
pubmed: 30770816
Mol Interv. 2007 Jun;7(3):147-56
pubmed: 17609521
Int J Biol Macromol. 2020 Jul 1;154:329-338
pubmed: 32179114
Arch Toxicol. 2014 Jul;88(7):1391-417
pubmed: 24894431
J Phys Chem C Nanomater Interfaces. 2009;113(7):2676-2684
pubmed: 20046993
Nat Nanotechnol. 2019 Nov;14(11):1007-1017
pubmed: 31695150
Angew Chem Int Ed Engl. 2012 Jun 4;51(23):5629-33
pubmed: 22532434
ACS Nano. 2018 Jul 24;12(7):6523-6535
pubmed: 29906096
Science. 2002 Aug 30;297(5586):1536-40
pubmed: 12202825
J Phys Chem B. 2005 Oct 6;109(39):18218-22
pubmed: 16853342
ACS Nano. 2016 May 24;10(5):5362-73
pubmed: 27148792
Chem Rev. 2015 Jan 14;115(1):327-94
pubmed: 25423180
Sci Rep. 2018 Jan 11;8(1):500
pubmed: 29323212
ACS Appl Mater Interfaces. 2014 Oct 8;6(19):17255-67
pubmed: 25222940
Phys Chem Chem Phys. 2017 Mar 29;19(13):8742-8756
pubmed: 28217797
ACS Nano. 2019 May 28;13(5):5785-5798
pubmed: 30990673
Chem Soc Rev. 2020 Nov 21;49(22):8179-8234
pubmed: 33196726
Mol Pharm. 2014 Feb 3;11(2):391-9
pubmed: 24304361
ACS Nano. 2012 Jan 24;6(1):641-50
pubmed: 22188516
Adv Mater. 2020 Jan;32(3):e1806331
pubmed: 30924971
J Phys Chem C Nanomater Interfaces. 2020 Aug 6;124(31):17172-17182
pubmed: 34367407
Biochim Biophys Acta. 2011 Mar;1810(3):361-73
pubmed: 20435096
ACS Appl Mater Interfaces. 2020 Mar 11;12(10):11329-11340
pubmed: 32072808
Lasers Med Sci. 2008 Jul;23(3):217-28
pubmed: 17674122
Cancer Lett. 2011 Dec 8;311(2):131-40
pubmed: 21840122
Nano Lett. 2014 Jun 11;14(6):3674-82
pubmed: 24842375
Nanoscale. 2014 Aug 21;6(16):9494-530
pubmed: 25030381
Cancer Res. 2003 May 1;63(9):1999-2004
pubmed: 12727808
J Adv Res. 2022 Jul;39:61-71
pubmed: 35777917
Biomaterials. 2016 Oct;104:352-60
pubmed: 27487574