In quest of a systematic framework for unifying and defining nanoscience

В поисках систематической основы для объединения и определения нанонауки
Donald A. Tomalia
2009-05-25

critical nanoscale design parametershard and soft nanoelementsnanocompoundsnanomaterials classificationnanoscience framework
This article proposes a systematic framework for unifying and defining nanoscience based on historic first principles and step logic that led to a "central paradigm" (i.e., unifying framework) for traditional elemental/small-molecule chemistry. As such, a Nanomaterials classification roadmap is proposed, which divides all nanomatter into Category I: discrete, well-defined and Category II: statistical, undefined nanoparticles. We consider only Category I, well-defined nanoparticles which are >90% monodisperse as a function of Critical Nanoscale Design Parameters (CNDPs) defined according to: (a) size, (b) shape, (c) surface chemistry, (d) flexibility, and (e) elemental composition. Classified as either hard (H) (i.e., inorganic-based) or soft (S) (i.e., organic-based) categories, these nanoparticles were found to manifest pervasive atom mimicry features that included: (1) a dominance of zero-dimensional (0D) core-shell nanoarchitectures, (2) the ability to self-assemble or chemically bond as discrete, quantized nanounits, and (3) exhibited well-defined nanoscale valencies and stoichiometries reminiscent of atom-based elements. These discrete nanoparticle categories are referred to as hard or soft particle nanoelements. Many examples describing chemical bonding/assembly of these nanoelements have been reported in the literature. We refer to these hard:hard (H-n:H-n), soft:soft (S-n:S-n), or hard:soft (H-n:S-n) nanoelement combinations as nanocompounds. Due to their quantized features, many nanoelement and nanocompound categories are reported to exhibit well-defined nanoperiodic property patterns. These periodic property patterns are dependent on their quantized nanofeatures (CNDPs) and dramatically influence intrinsic physicochemical properties (i.e., melting points, reactivity/self-assembly, sterics, and nanoencapsulation), as well as important functional/performance properties (i.e., magnetic, photonic, electronic, and toxicologic properties). We propose this perspective as a modest first step toward more clearly defining synthetic nanochemistry as well as providing a systematic framework for unifying nanoscience. With further progress, one should anticipate the evolution of future nanoperiodic table(s) suitable for predicting important risk/benefit boundaries in the field of nanoscience. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11051-009-9632-z) contains supplementary material, which is available to authorized users.
1
A nanomaterials classification roadmap divides nanomatter into discrete, well-defined Category I materials and statistical, undefined Category II nanoparticles.
2
Category I nanoparticles are defined as over 90% monodisperse according to critical nanoscale design parameters: size, shape, surface chemistry, flexibility, and elemental composition.
3
The framework introduces hard and soft particle nanoelements and their hard:hard, soft:soft, and hard:soft combinations, termed nanocompounds, whose quantized features can produce nanoperiodic patterns affecting physicochemical and functional properties.
4
The paper proposes a systematic nanoscience framework derived from first principles and step logic used to unify traditional elemental and small-molecule chemistry.
5
Well-defined hard and soft nanoparticles exhibit atom-mimicking features, including predominantly zero-dimensional core–shell architectures, quantized assembly or bonding, and nanoscale valencies and stoichiometries.

Category I, well-defined, >90% monodisperse hard and soft nanoparticles (particle nanoelements) and their nanocompounds

Their classification by Critical Nanoscale Design Parameters and the resulting atom-mimicry, bonding/assembly, periodic property patterns, and physicochemical and functional properties

Publication Details
Publication Date
2009-05-25
Journal
Publisher
ISSN
Access Type
Author Information
Authors
Donald A. Tomalia
Explore further
Open the scid.ai AI chat with a ready-made request: it will find papers on a similar topic and help build a literature review.
Find similar papers in the chat
Make a presentation
100%