Much of Nepal lacks access to clean drinking water, and many water sources are contaminated with arsenic at concentrations above both World Health Organization and local Nepalese guidelines. While many water treatment technologies exist, it is necessary to identify those that are easily implementable in developing areas. One simple treatment that has gained popularity is biochar—a porous, carbon-based substance produced through pyrolysis of biomass in an oxygen-free environment. Arizona State University’s Engineering Projects in Community Service (EPICS) has partnered with communities in Nepal in an attempt to increase biochar production in the area, as it has several valuable applications including water treatment. Biochar’s arsenic adsorption capability will be investigated in this project with the goal of using the biochar that Nepalese communities produce to remove water contaminants. It has been found in scientific literature that biochar is effective in removing heavy metal contaminants from water with the addition of iron through surface activation. Thus, the specific goal of this research was to compare the arsenic adsorption disparity between raw biochar and iron-impregnated biochar. It was hypothesized that after numerous bed volumes pass through a water treatment column, iron from the source water will accumulate on the surface of raw biochar, mimicking the intentionally iron-impregnated biochar and further increasing contaminant uptake. It is thus an additional goal of this project to compare biochar loaded with iron through an iron-spiked water column and biochar impregnated with iron through surface oxidation. For this investigation, the biochar was crushed and sieved to a size between 90 and 100 micrometers. Two samples were prepared: raw biochar and oxidized biochar. The oxidized biochar was impregnated with iron through surface oxidation with potassium permanganate and iron loading. Then, X-ray fluorescence was used to compare the composition of the oxidized biochar with its raw counterpart, indicating approximately 0.5% iron in the raw and 1% iron in the oxidized biochar. The biochar samples were then added to batches of arsenic-spiked water at iron to arsenic concentration ratios of 20 mg/L:1 mg/L and 50 mg/L:1 mg/L to determine adsorption efficiency. Inductively coupled plasma mass spectrometry (ICP-MS) analysis indicated an 86% removal of arsenic using a 50:1 ratio of iron to arsenic (1.25 g biochar required in 40 mL solution), and 75% removal with a 20:1 ratio (0.5 g biochar required in 40 mL solution). Additional samples were then inserted into a column process apparatus for further adsorption analysis. Again, ICP-MS analysis was performed and the results showed that while both raw and treated biochars were capable of adsorbing arsenic, they were exhausted after less than 70 bed volumes (234 mL), with raw biochar lasting 60 bed volumes (201 mL) and oxidized about 70 bed volumes (234 mL). Further research should be conducted to investigate more affordable and less laboratory-intensive processes to prepare biochar for water treatment.
Normally, sauerkraut is only sold in very large containers that are intimidating to the average consumer. Fermentation Station will solve this issue by selling sauerkraut in small serving size containers or slightly bigger containers for a week long supply. Additionally, Fermentation Station will sell multiple different flavors of sauerkraut. This is necessary to intrigue a younger audience who desires variety and choice
The other place where sauerkraut falls short is that people are unaware of how to incorporate into their day to day meals. To solve this the company social media team has been growing its following on several platforms. By providing easy recipes through these platforms, consumers can see how they too can easily start eating more sauerkraut without actually altering their diet much. To augment the creator, Ryan Conley’s talents, two additional team members were brought on to help with branding and marketing, mostly on social media.
3D printing prosthetics for amputees is an innovative opportunity to provide a lower cost and customized alternative to current technologies. Companies, such as E-NABLE and YouBionic are developing myoelectric prosthetics, electrically powered terminal devices activated by electromyography (EMG), for transradial amputees. Prosthetics that are 3D printed are less expensive for juvenile use, more sustainable, and more accessible for those without insurance. Although they are typically not outfitted with the same complex grip patterns or durability of a traditional myoelectric prosthetic, they offer a sufficient durability (withstanding up to 150 N on average) and allow for new opportunities in prosthetic development. Devils Prosthetics, a student research and development group associated with Engineering Projects in Community Service (EPICS), has investigated the benefits and pitfalls of utilizing polyethylene terephthalate glycol (PETG) for 3D printing prosthetics as well as combining a MyoWare EMG sensor with machine learning for optimal control of the prosthetic.
3D printing prosthetics for amputees is an innovative opportunity to provide a lower cost and customized alternative to current technologies. Companies, such as E-NABLE and YouBionic are developing myoelectric prosthetics, electrically powered terminal devices activated by electromyography (EMG), for transradial amputees. Prosthetics that are 3D printed are less expensive for juvenile use, more sustainable, and more accessible for those without insurance. Although they are typically not outfitted with the same complex grip patterns or durability of a traditional myoelectric prosthetic, they offer a sufficient durability (withstanding up to 150 N on average) and allow for new opportunities in prosthetic development. Devils Prosthetics, a student research and development group associated with Engineering Projects in Community Service (EPICS), has investigated the benefits and pitfalls of utilizing polyethylene terephthalate glycol (PETG) for 3D printing prosthetics as well as combining a MyoWare EMG sensor with machine learning for optimal control of the prosthetic.