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Item type:Publication, Mechanical properties of calcite- and aragonite-based structures by nanoindentation tests(ICE Publishing, 2020-06-05)Nacre has been considered as one of the most important models for the development of hard bioinspired materials. This aragonite-based layered structure has been extensively studied because of its excellent mechanical properties, superior to those of monolithic aragonite. Calcite-based seashells have received less attention, as they display lower hardness and Young's modulus. However, layered calcitic structures also have a superior fracture toughness value compared with monolithic calcite. In this paper, seashells of six species were studied by correlating the mechanical properties of the calcite- and aragonite-based layers with their mineral building blocks. Morphological studies revealed nacreous and fibrous prismatic microstructures for aragonite-based layers, whereas calcite-based layers have prismatic and foliated microstructures. The hardness and stiffness of the aragonitic structures were slightly higher than those of calcite. A toughening factor was calculated comparing the fracture toughness of the aragonitic and calcitic layers with the toughness of monolithic aragonite and calcite. The toughening factors of calcitic and aragonitic structures were in the same range (1.6-9.2). - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Synthesis of highly stable κ/ι-hybrid carrageenan micro- and nanogels via a sonication-assisted microemulsion route(SAGE Publishing, 2020-08-01)Novel carrageenan micro- and nanogels were developed via a sonication-assisted microemulsion processing route. The diameter of the dry samples ranged 197.3 −421.35 nm whereas the diameter of the samples suspended in water ranged 467.8–605.9 nm. Hybrid κ/ι-carrageenan, rather than κ- or ι-carrageenan was used for the first time for the preparation of micro- and nanogels. KCl was used as a cross-linking agent and Tween 80 was used as surfactant. The micro- and nanogels suspended in water were found to simultaneously exhibit a lower diameter, and a lower swelling ratio with higher Tween 80 content. The micro- and nanogel suspension yields a zeta potential value of −50.5 mV, superior to values reported elsewhere for pure κ- or ι-carrageenan micro- and nanogels. The high stability was attributed to the high hydrophile-lipophile balance (HLB = 15) value of Tween 80. These results suggest that hybrid κ/ι-carrageenan micro- and nanogels are promising candidates for smart therapeutics applications. - Some of the metrics are blocked by yourconsent settings
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Item type:Publication, Viscoelastic characterization of in vivo human dermis using high-frequency ultrasonic crawling wave elastography(Institute of Electrical and Electronics Engineers Inc., 2022-01-01)High-frequency (center frequency of 18MHz) ultrasound was combined with crawling wave elastography to characterize skin viscoelastic properties in two anatomical sites (i.e., thigh and forearm) in humans in the range of 200-400 Hz. The Voigt model was used to obtain shear elasticity and shear viscosity estimates. The forearm's mean shear elasticity and shear viscosity were 6 kPa and 5.5 Pa.s, respectively, exhibiting significantly higher values than in the thigh (3.4 kPa and 3.2 Pa.s, respectively, p < 0.05). These results suggest that skin viscoelastic properties can be estimated in vivo using high-frequency crawling wave elastography and show translation potential for future application in the clinical screening of skin disorders. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, No sonographer, no radiologist: new system for automatic prenatal detection of fetal biometry, fetal presentation, and placental location(Public Library of Science, 2022-02-01)Ultrasound imaging is a vital component of high-quality Obstetric care. In rural and under-resourced communities, the scarcity of ultrasound imaging results in a considerable gap in the healthcare of pregnant mothers. To increase access to ultrasound in these communities, we developed a new automated diagnostic framework operated without an experienced sonographer or interpreting provider for assessment of fetal biometric measurements, fetal presentation, and placental position. This approach involves the use of a standardized volume sweep imaging (VSI) protocol based solely on external body landmarks to obtain imaging without an experienced sonographer and application of a deep learning algorithm (U-Net) for diagnostic assessment without a radiologist. Obstetric VSI ultrasound examinations were performed in Peru by an ultrasound operator with no previous ultrasound experience who underwent 8 hours of training on a standard protocol. The U-Net was trained to automatically segment the fetal head and placental location from the VSI ultrasound acquisitions to subsequently evaluate fetal biometry, fetal presentation, and placental position. In comparison to diagnostic interpretation of VSI acquisitions by a specialist, the U-Net model showed 100% agreement for fetal presentation (Cohen's κ 1 (p<0.0001)) and 76.7% agreement for placental location (Cohen's κ 0.59 (p<0.0001)). This corresponded to 100% sensitivity and specificity for fetal presentation and 87.5% sensitivity and 85.7% specificity for anterior placental location. The method also achieved a low relative error of 5.6% for biparietal diameter and 7.9% for head circumference. Biometry measurements corresponded to estimated gestational age within 2 weeks of those assigned by standard of care examination with up to 89% accuracy. This system could be deployed in rural and underserved areas to provide vital information about a pregnancy without a trained sonographer or interpreting provider. The resulting increased access to ultrasound imaging and diagnosis could improve disparities in healthcare delivery in under-resourced areas.