ABSTRACT
This research article focuses on the targeted color design of silver-gold alloy nanoparticles (NPs), employing a multivariate optimization approach. NP synthesis involves interconnected process parameters, making independent variation challenging. Data-based property-process relationships are established to optimize optical properties effectively. We define a color target, employ a green chemical co-reduction method at room temperature and optimize process parameters accordingly. The CIEL*a*b* color space (Commission Internationale de l'Éclairage - International Commission on Illumination) and Euclidean distances facilitate accurate color matching to establish the property-process relationship. Concurrently, theoretical Mie calculations explore the structure-property relationship across particle sizes, concentrations, and molar gold contents. The theoretically optimal structure agrees very well with experimental particle structures at the property-process relationship's optimum. The data-driven property-process relationship provides valuable insights into the formation mechanism of a complex particle system, sheds light on the role of relevant process parameters and allows to evaluate the practically available property space. Model validation beyond the original grid demonstrates its robustness, yielding colors close to the target. Additionally, Design of Experiments (DoE) methods reduce experimental work by threefold with slight accuracy trade-offs. Our novel methodology for targeted color design demonstrates how data-based methods can be utilized alongside structure-property relationships to unravel property-process relationships in the design of complex nanoparticle systems and paves the way for future developments in targeted property design.
ABSTRACT
CONTEXT: In postmenopausal osteoporosis, combining denosumab and teriparatide increases hip and spine bone mineral density more than either monotherapy. OBJECTIVE: The objective of the study was to determine the effects of 2 years of combination therapy on bone microarchitecture and estimated strength. DESIGN: This was an open-label, randomized controlled trial. PARTICIPANTS AND METHODS: We performed high-resolution peripheral quantitative computed tomography at the distal tibia and radius in 94 postmenopausal osteoporotic women randomized to 2 years of teriparatide 20 µg sc daily, denosumab 60 mg sc every 6 months, or both. RESULTS: Total volumetric bone mineral density (vBMD) at the radius and tibia, trabecular vBMD at the radius, and cortical vBMD at the tibia all increased more in the combination group than both monotherapy groups (P < .002 for all comparisons with combination). Cortical thickness at the tibia also increased more in the combination group (8.1% ± 4.3%) than both other groups (P < .001). Cortical porosity at both the radius and tibia increased progressively over the 24-month treatment period in the teriparatide group but was stable in both other groups (P < .001 teriparatide vs both other groups). Trabecular vBMD at the tibia increased similarly in all groups, whereas radius trabecular vBMD increased more in the combination group than the other groups (P < .01 for both comparisons). Finite element analysis-estimated strength improved or was maintained by all treatments at both the radius and tibia. CONCLUSIONS: Two years of combined teriparatide and denosumab improves bone microarchitecture and estimated strength more than the individual treatments, particularly in cortical bone. These findings suggest that this regimen may be beneficial in postmenopausal osteoporosis.
