Review of the occurrence, treatment technologies, and detection methods for saxitoxins in freshwaters.

The increasing occurrence of saxitoxins in freshwaters is becoming a concern for water treatment facilities owing to its structural properties which make it resistant to oxidation at pH < 8. Hence, it is crucial to be able to monitor these toxins in surface and drinking water to protect public health. This review aims to outline the current state of knowledge related to the occurrence of saxitoxins in freshwaters and its removal strategies and provide a critical assessment of the detection methods to provide a basis for further development.

Tap water fingerprinting using a convolutional neural network built from images of the coffee-ring effect.

A low-cost tap water fingerprinting technique was evaluated using the coffee-ring effect, a phenomenon by which tap water droplets leave distinguishable "fingerprint" residue patterns after water evaporates. Tap waters from communities across southern Michigan dried on aluminum and photographed with a cell phone camera and 30× loupe produced unique and reproducible images. A convolutional neural network (CNN) model was trained using the images from the Michigan tap waters, and despite the small size of the image dataset, the model assigned images into groups with similar water chemistry with 80% accuracy.

Urine Bacterial Community Convergence through Fertilizer Production: Storage, Pasteurization, and Struvite Precipitation.

Source-separated human urine was collected from six public events to study the impact of urine processing and storage on bacterial community composition and viability. Illumina 16S rRNA gene sequencing revealed a complex community of bacteria in fresh urine that differed across collection events. Despite the harsh chemical conditions of stored urine (pH > 9 and total ammonia nitrogen > 4000 mg N/L), bacteria consistently grew to 5 ± 2 × 10 cells/mL.

Raman Characterization of Nanoparticle Transport in Microfluidic Paper-Based Analytical Devices (μPADs).

There is great interest in the use of microfluidic paper-based analytical devices (μPADs) for low-cost diagnostics. In this contribution, we illustrate the utility of Raman spectral imaging for both μPAD characterization and for quantification of the transport of applied reagents and analytes within these devices. We evaluated the transport of nanoscale particles within μPADs using a suite of differentially functionalized gold (AuNP) and silver (AgNP) nanoparticles with diameters of 8-64 nm.