JettSen: A Mobile Sensor Fusion Platform for City Knowledge Abstraction

Rico, Andrés; Sakai, Yasushi; Larson, Kent

doi:10.1007/978-3-030-63089-8_51

Cited by 4 publications

(1 citation statement)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As standard city sensors are now well established and helping us understand diverse aspects about how we use our homes [8][9][10], offices [11] and public spaces [12] amongst other areas; research is now suggesting that the application of biology-based sensors can complement current city sensing capabilities in a meaningful manner (See Figure 1) [13][14][15][16][17]. Advances in city bio-sensing have shown promising alternatives to understanding new ways in which we can instrument our daily lives and infrastructure [18].…”

Section: Introductionmentioning

confidence: 99%

MAIA: An open-source, modular, bioreactor for cities

Rico,

Kong,

Larson

2024

Preprint

Self Cite

View full text Add to dashboard Cite

This work presents the design and fabrication of MAIA, an open-source, modular, low-cost, and portable bioreactor for democratizing the development of synthetic biology based projects for urban settings. The integration of open-source synthetic biology (synbio) tools in a city's infrastructure planning and design is crucial for addressing the great challenges related to urbanization. Synbio tools have great potential to help us complement our current sensing and actuating urban infrastructure. The MAIA reactor controls bacterial growth variables, making it suitable for cell-based experiments while reducing the need for expensive laboratory equipment. Its low-cost and open-source design allow for easy replication and modification, making it accessible to a broader audience. Its portability makes it suitable for use outside of traditional laboratory settings. We qualitatively and quantitatively validated the reactor's capability to support cell growth, stimulate gene expression, and act as a creative tool for students and users.

show abstract