2022
DOI: 10.1021/acs.jpcc.2c00084
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Donor–Acceptor Stenhouse Adducts for Stimuli-Responsive Self-Assembly of Gold Nanoparticles into Semiconducting Thin Films

Abstract: Recent advancements in materials science and chemistry allowed the creation of intelligent, programmable materials. The stimuli-responsive substances are the most prominent candidates for developing sophisticated nanomachinery. Especially, photo- and thermoresponsive systems have gained much attention in recent years as elegant solutions for drug transportation, information storage, biomaterials, and material engineering. However, to this day, only a limited number of molecular domains display triggered and re… Show more

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Cited by 2 publications
(2 citation statements)
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“…Control over nanoparticles was executed by using light-responsive building blocks. A light-driven 2D DySA system was constructed using donor-acceptor Stenhouse adduct (DASA) attached to gold nanoparticles [229]. Under white light, the ligand transitions from nonpolar to polar form (Figure 4I).…”
Section: Systems Responsive To Lightmentioning
confidence: 99%
“…Control over nanoparticles was executed by using light-responsive building blocks. A light-driven 2D DySA system was constructed using donor-acceptor Stenhouse adduct (DASA) attached to gold nanoparticles [229]. Under white light, the ligand transitions from nonpolar to polar form (Figure 4I).…”
Section: Systems Responsive To Lightmentioning
confidence: 99%
“…The few examples of DASA in combination with biopolymers/-oligomers are briefly discussed in the third part. Examples of the integration of DASAs into functional materials other than polymers lie outside the scope of this review, including inorganic and metal nanoparticles, 50–53 graphene, 54 metal–organic frameworks (MOFs), 55,56 polyoxometalates, 57 supramolecular complexes with metal–ligand/organic molecular vessels, 58,59 or with hydrogen bonding receptors, 60 and self-assembled structures of small molecule DASA-based amphiphiles. 61,62…”
Section: Introductionmentioning
confidence: 99%