SBIR/STTR Research Award

Real-time Non-destructive Microbial Water Monitoring for Spacecraft Cabins

Award identifier 77775e7cf7ad6956798a03b673cd17561021a405494f0f5e1a4873f26526e7bfAwarding agency National Aeronautics and Space Administration

Award amount

$124,877

Program and phase

SBIR · Phase I

Award year

2020

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Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
ORB XYZ, INC.
Proposal award date
2020-08-30
Contract end date
2021-03-01
UEI
NJJHCUM8JD86
Solicitation number
SBIR_20_P1
Topic code
H3

Research abstract

Safe drinking water for all spaceflightnbsp; will be sourced from recycled water from all forms of human waste products. There is a need for real time microbial monitoring to maintain safe potable water. Current inline diagnostics tools available for conventional water treatment are not bacteria or virus specific. Orb has developed a small inline optical monitoring and diagnostic device that can detect various water-borne pathogens and be used for real-time water quality assessment. Orb XYZ main commercial emphasis is the use of florescence spectroscopy in combination with machine learning algorithms to detect and quantify a large range of contaminants in water.This precision spectroscopy analysis is based on the notion that high-quality compact spectrometers are capable of measuring subtle features with high repeatability that can be correlated with important biological or chemical processes.The goal of this Phase-I SBIR effort is to build a breadboard platform to perform experiments based on previous Orb technologies to collect critical information necessary to develop a Phase-II prototype instrument capable of real-time monitoring of potable water systems contaminated by bacteria and viruses. nbsp;In Phase-I, in addition to using our previously established fluorescence spectroscopy methods for water monitoring, we have identified five additional highly innovative and necessary monitoring technologies that will be developed and demonstrated in this project:A unique laboratory breadboard system and machine-learning algorithm, will be developed and used to demonstrate detection technologies needed to meet NASA water monitoring requirements and enable innovations.The capability to differentiate between viable and non-viable bacterial cells.nbsp;The capability to differentiate between specific bacterial species utilizing precision spectroscopy.nbsp;The capability to measure bacterial metabolites.The capability to detect viruses and identify bacteria infected by viruses.

Technology keywords

Not reported

Agency intelligence

National Aeronautics and Space Administration

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