Recent advances of application of bentonite-based composites in the environmental remediation.

Bentonite-based composites have been widely utilized in the removal of various pollutants due to low cost, environmentally friendly, ease-to-operate, whereas the recent advances concerning the application of bentonite-based composites in environmental remediation were not available. Herein, the modification (i.e., acid/alkaline washing, thermal treatment and hybrids) of bentonite was firstly reviewed; Then the recent advances of adsorption of environmental concomitants (e.g., organic (dyes, microplastics, phenolic and other organics) and inorganic pollutants (heavy metals, radionuclides and other inorganic pollutants)) on various bentonite-based composites were summarized in details. Meanwhile, the effect of environmental factors and interaction mechanism between bentonite-based composites and contaminants were also investigated. Finally, the conclusions and prospective of bentonite-based composites in the environmental remediation were proposed. It is demonstrated that various bentonite-based composites exhibited the high adsorption/degradation capacity towards environmental pollutants under the specific conditions. The interaction mechanism involved the mineralization, physical/chemical adsorption, co-precipitation and complexation. This review highlights the effect of different functionalization of bentonite-based composites on their adsorption capacity and interaction mechanism, which is expected to be helpful to environmental scientists for applying bentonite-based composites into practical environmental remediation.

Graphene-integrated mesh electronics with converged multifunctionality for tracking multimodal excitation-contraction dynamics in cardiac microtissues.

Cardiac microtissues provide a promising platform for disease modeling and developmental studies, which require the close monitoring of the multimodal excitation-contraction dynamics. However, no existing assessing tool can track these multimodal dynamics across the live tissue. We develop a tissue-like mesh bioelectronic system to track these multimodal dynamics. The mesh system has tissue-level softness and cell-level dimensions to enable stable embedment in the tissue. It is integrated with an array of graphene sensors, which uniquely converges both bioelectrical and biomechanical sensing functionalities in one device. The system achieves stable tracking of the excitation-contraction dynamics across the tissue and throughout the developmental process, offering comprehensive assessments for tissue maturation, drug effects, and disease modeling. It holds the promise to provide more accurate quantification of the functional, developmental, and pathophysiological states in cardiac tissues, creating an instrumental tool for improving tissue engineering and studies.

Rapid cell isolation in breastmilk in a non-clinical setting by a deterministic lateral displacement device and selective water and fat absorption.

Breastmilk is a reliable source of biomarker-containing, sloughed breast cells that have the potential to give valuable health insights to new mothers. Furthermore, known DNA-based markers for pregnancy-associated breast cancer are chemically stable and can be safely stored on a commercially available FTA® Elute Micro (EM) card, which can subsequently be mailed to a testing facility for the cost of a stamp. In theory, this archiving process can be performed by nonprofessionals in very low-resource settings as it simply requires placing a drop of breastmilk on an EM card. Although this level of convenience is paramount for new mothers, the low cell density of breastmilk complicates archiving on an EM card as such commercial products and associated protocols were designed for high-cell density physiological fluids such as blood. In this study, we present the use of a deterministic lateral displacement (DLD) device combined with porous superabsorbent polymers and hydrophobic sponges to achieve simple and low-cost cell enrichment in breastmilk. As the critical separation diameter in a DLD device is more heavily dependent on lithographically controlled pillar layout than fluid or flow properties, our use of DLD microfluidics allowed for the accommodation of both varying viscosities in human breastmilk samples and a varying pressure of actuation resulting from manual, syringe-driven operation. We demonstrate successful cell enrichment (>11×) and a corresponding increase in the DNA concentration of EM card elutions among breastmilk samples processed with our hybrid microfluidic system. As our device achieves sufficiently high cell enrichment in breastmilk samples while only requiring the user to push a syringe for 4 min with reasonable effort, we believe that it has high potential to expand EM card DNA archiving for diagnostic applications with low-cell density physiological fluids and in low-resource settings.

Patterning ganglionic eminences in developing human brain organoids using a morphogen-gradient-inducing device.

In early neurodevelopment, the central nervous system is established through the coordination of various neural organizers directing tissue patterning and cell differentiation. Better recapitulation of morphogen gradient production and signaling will be crucial for establishing improved developmental models of the brain in vitro. Here, we developed a method by assembling polydimethylsiloxane devices capable of generating a sustained chemical gradient to produce patterned brain organoids, which we termed morphogen-gradient-induced brain organoids (MIBOs). At 3.5 weeks, MIBOs replicated dorsal-ventral patterning observed in the ganglionic eminences (GE). Analysis of mature MIBOs through single-cell RNA sequencing revealed distinct dorsal GE-derived CALB2+ interneurons, medium spiny neurons, and medial GE-derived cell types. Finally, we demonstrate long-term culturing capabilities with MIBOs maintaining stable neural activity in cultures grown up to 5.5 months. MIBOs demonstrate a versatile approach for generating spatially patterned brain organoids for embryonic development and disease modeling.