Multifunctional calcium carbonate microparticles: Synthesis and biological applications

Won, Yong Hyub; Jang, Ho Seong; Chung, Ding-Wen; Stanciu, Lia

doi:10.1039/c0jm01231a

Cited by 54 publications

(37 citation statements)

References 35 publications

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“…S6d). This result was consistent with the prevalent vaterite-to-calcite transformation mechanism whereby vaterite, with a metastable phase and a high surface area, had the tendency to undergo a dissolution and recrystallization process to become the more stable calcite phase [14]. On the basis of the above results, we found that the polymorph and morphology of the CaCO3 precipitate could be controlled accurately by selecting specific water/ethanol ratios in the binary solution via a CO2 vapor-diffusion reaction.…”

Section: Structural Discrimination In Water/ethanol Binary Solutionsupporting

confidence: 73%

“…Previous research showed that porous vaterite samples in the absence of stabilizing additives would convert easily to non-porous rhombohedral calcite under ambient conditions [14]. In contrast, the typical structural features of our PCMSs, including their spherical shape, porous structure, and high-crystallinity, were maintained well after being soaked in deionized water for three months (Fig.…”

Section: Synthetic Route and Structural Characterizations Of Pcmssmentioning

confidence: 67%

“…However, since vaterite is rather unstable in a humid environment, this porous CaCO3 will easily convert to non-porous rhombohedral calcite overnight [16]. Recently, several modification approaches, such as layer-by-layer electrostatic adsorption, double hydrophilic block copolymers coating, and nanodots embedding, have been attempted to stabilize vaterite MPs [14,[17][18][19]. The above foreign impurities can inhibit the nucleation of calcite from metastable vaterite phase.…”

Section: Introductionmentioning

confidence: 99%

“…A number of studies to establish porous CaCO3 MPs have been carried out under diverse conditions [12][13][14][15]. Typically, the vaterite polymorph of CaCO3, with its micro-spherical and porous structure, can be fabricated simply via the conventional process reported by Volodkin et al [16].…”

Section: Introductionmentioning

confidence: 99%

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Symmetry-breaking assembled porous calcite microspheres and their multiple dental applications

Yan

et al. 2017

Sci. China Mater.

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Biomedical applications of porous calcium carbonate (CaCO3) microspheres have been mainly restricted by their aqueous instability and low remineralization rate. To overcome these obstacles, a novel symmetry-breaking assembled porous calcite microsphere (PCMS) was constructed in an ethanol/water mixed system using a two-step vapor-diffusion/aging crystallization strategy. In contrast to the conventional additive-induced crystallization method, the present strategy was performed under mild conditions and was free from any foreign additives, thus avoiding the potential contamination of the final product. Meanwhile, the prepared PCMSs were characterized by their highly uniform spherical morphology and large open pores, which are favorable for large protein delivery. An antimicrobial study of immunoglobulin Y (IgY)-loaded PCMSs revealed excellent antimicrobial activity against Streptococcus mutans. More importantly, they showed surprisingly rapid transformation to bone minerals in physiological medium. Evaluation of the in vitro efficacy of PCMSs in dentinal tubule occlusion demonstrated their powerful potential to serve as a catalyst in the repair of dental hard tissue. Therefore, the developed PCMSs show great promise as multifunctional biomaterials for dental treatment applications.

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Section: Structural Discrimination In Water/ethanol Binary Solutionsupporting

confidence: 73%

Section: Synthetic Route and Structural Characterizations Of Pcmssmentioning

confidence: 67%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Symmetry-breaking assembled porous calcite microspheres and their multiple dental applications

Yan

et al. 2017

Sci. China Mater.

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“…Greater control can be achieved using more complex processing such as formation of alternate layers using physical deposition or chemical solution processing. 25 Alternatively, inorganic nanoparticles can be embedded within an inorganic matrix, for example by the in situ growth of nanoparticles within porous media such as zeolites, 26 the construction of mesoporous solids in the presence of nanoparticles, 27 adsorption of nanoparticles into porous crystals, 28 the formation of discrete coreshell nanoparticle composites, 29 and in situ growth of nanoparticles during thin film formation. 30 It is emphasized that in creating these composite materials, there is a requirement not only to succeed in embedding nanoparticles within the host matrix, but to control their density and distribution.…”

Section: Discussionmentioning

confidence: 99%

Bio-inspired formation of functional calcite/metal oxide nanoparticle composites

et al. 2014

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Biominerals are invariably composite materials, where occlusion of organic macromolecules within single crystals can significantly modify their properties. In this article, we take inspiration from this biogenic strategy to generate composite crystals in which magnetite (Fe 3 O 4 ) and zincite (ZnO) nanoparticles are embedded within a calcite single crystal host, thereby endowing it with new magnetic or optical properties. While growth of crystals in the presence of small molecules, macromolecules and particles can lead to their occlusion within the crystal host, this approach requires particles with specific surface chemistries. Overcoming this limitation, we here precipitate crystals within a nanoparticle-functionalised xyloglucan gel, where gels can also be incorporated within single crystals, according to their rigidity. This method is independent of the nanoparticle surface chemistry and as the gel maintains its overall structure when occluded within the crystal, the nanoparticles are maintained throughout the crystal, preventing, for example, their movement and accumulation at the crystal surface during crystal growth. This methodology is expected to be quite general, and could be used to endow a wide range of crystals with new functionalities. IntroductionAdvances in technology demand an ever-increasing degree of control over material structure, properties and function. As the range of properties that can be obtained from monolithic materials is necessarily limited, one potential strategy for the development of new materials is the creation of composites in which two or more dissimilar materials are combined. 5-8In the work described here, we use biominerals, and specifically their occlusion of organic species, as an inspiration to generate composites in which inorganic nanoparticles (magnetite and ZnO) are incorporated within single crystals of calcite (CaCO 3 ). In doing so, we can endow the host crystal with novel properties -here magnetic or optical -while maintaining the intrinsic single crystal character of the parent crystal. It is well recognized that growth of crystals in the presence of organic molecules can lead to the occlusion of both small molecules 9 and macromolecules, 10 and this strategy has been adapted to achieve encapsulation of polymer latexes and copolymer micelles within single crystals of calcite 11,12 and ZnO crystals. 13 However, while this method is experimentally facile, it requires particles with specific surface chemistries, and aggregation of the nanoparticles is a problem in many crystal growth solutions.Notably, some biominerals also occlude fibres, reflecting their growth in a gel-like medium. 8,14,15 Again, an analogous result has also been achieved synthetically, where sponge-like agarose gels were preserved within calcite crystals. 16,17 Indeed, incorporation of the gel is subject to far fewer constraints than isolated particles/ molecules, and effective occlusion can be achieved according to the gel rigidity and the rate of crystal growth. 17 Our methodology there...

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Parameterization and prediction of nanoparticle transport in porous media: A reanalysis using artificial neural network

Babakhani

Bridge

Doong

et al. 2017

Water Resources Research

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The continuing rapid expansion of industrial and consumer processes based on nanoparticles (NP) necessitates a robust model for delineating their fate and transport in groundwater. An ability to reliably specify the full parameter set for prediction of NP transport using continuum models is crucial. In this paper we report the reanalysis of a data set of 493 published column experiment outcomes together with their continuum modeling results. Experimental properties were parameterized into 20 factors which are commonly available. They were then used to predict five key continuum model parameters as well as the effluent concentration via artificial neural network (ANN)-based correlations. The Partial Derivatives (PaD) technique and Monte Carlo method were used for the analysis of sensitivities and model-produced uncertainties, respectively. The outcomes shed light on several controversial relationships between the parameters, e.g., it was revealed that the trend of K att with average pore water velocity was positive. The resulting correlations, despite being developed based on a ''black-box'' technique (ANN), were able to explain the effects of theoretical parameters such as critical deposition concentration (CDC), even though these parameters were not explicitly considered in the model. Porous media heterogeneity was considered as a parameter for the first time and showed sensitivities higher than those of dispersivity. The model performance was validated well against subsets of the experimental data and was compared with current models. The robustness of the correlation matrices was not completely satisfactory, since they failed to predict the experimental breakthrough curves (BTCs) at extreme values of ionic strengths. Plain Language Summary Models based on advection-dispersion-equation (ADE), have succeeded in describing a variety of nanoparticle (NP) transport mechanisms within subsurface porous media. These models are usually fitted against known observation data to obtain the unknown parameters. Nevertheless, the parameters determined in this way cannot be used for a new problem of the same type and again there exists the need for the data to calibrate the model parameters for a new problem. Black box models, such as artificial neural network (ANN), have been mostly, if not all the times, used in the same way of ADE models, i.e., single problem solver. In this paper we use the ability of ANN to develop a series of simple correlation matrices that can be easily used for the prediction of ADE parameters in the new problem without the need for additional calibration. Although comparisons between ANN model predictions and experimental data show that there is still further work to be done, our approach out-performs other comparable models and offers new insight into the complex interactions among the factors determining NP transport and fate in the environment.

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Multifunctional calcium carbonate microparticles: Synthesis and biological applications

Cited by 54 publications

References 35 publications

Symmetry-breaking assembled porous calcite microspheres and their multiple dental applications

Symmetry-breaking assembled porous calcite microspheres and their multiple dental applications

Bio-inspired formation of functional calcite/metal oxide nanoparticle composites

Parameterization and prediction of nanoparticle transport in porous media: A reanalysis using artificial neural network

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