15 research outputs found

    Mixing in water elutriators

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    High-throughput discovery of organic cages and catenanes using computational screening fused with robotic synthesis

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    Supramolecular synthesis is a powerful strategy for assembling complex molecules, but to do this by targeted design is challenging. This is because multicomponent assembly reactions have the potential to form a wide variety of products. High-throughput screening can explore a broad synthetic space, but this is inefficient and inelegant when applied blindly. Here we fuse computation with robotic synthesis to create a hybrid discovery workflow for discovering new organic cage molecules, and by extension, other supramolecular systems. A total of 78 precursor combinations were investigated by computation and experiment, leading to 33 cages that were formed cleanly in one-pot syntheses. Comparison of calculations with experimental outcomes across this broad library shows that computation has the power to focus experiments, for example by identifying linkers that are less likely to be reliable for cage formation. Screening also led to the unplanned discovery of a new cage topology—doubly bridged, triply interlocked cage catenanes

    A Unique Role for Citizen Science in Ecological Restoration: A Case Study in Streams

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    Citizen science has the potential to generate valuable biologic data for use in restoration monitoring, while also providing a unique opportunity for public participation in local restoration projects. In this article, we describe and evaluate a citizen science program designed to monitor the effect of stream restoration construction disturbance on the macroinvertebrate community. We present the results of a 7-year stream restoration study conducted by citizen scientists utilizing a Before-After-Control-Impact (BACI) design. Trait-based macroinvertebrate data showed a strong response to restoration construction disturbance and return to pre-restoration conditions within 2 years. The findings of this study suggest that citizen science can generate meaningful BACI-oriented data about ecological restoration; however, until more research is conducted, citizen data should only be used to augment professional data intended to demonstrate restoration success
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