Source: ENERTREX CORP. submitted to
SMART SENSOR FOR AQUACULTURE NITROGEN USING RAMAN SPECTROSCOPY
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
COMPLETE
Funding Source
Reporting Frequency
Annual
Accession No.
1015972
Grant No.
2018-33610-28283
Cumulative Award Amt.
$98,588.00
Proposal No.
2018-00326
Multistate No.
(N/A)
Project Start Date
Jul 15, 2018
Project End Date
Mar 14, 2020
Grant Year
2018
Program Code
[8.7]- Aquaculture
Project Director
LANDAHL, C.
Recipient Organization
ENERTREX CORP.
14032 KOSTNER UNIT B
CRESTWOOD,IL 60445
Performing Department
(N/A)
Non Technical Summary
The country increasingly seeks locally produced, healthy food. Shrimp can provide significantly to these desires while reducing dependence on imports and enabling creation of jobs in all strata of society.To realize these benefits, the cost of shrimp production needs to be reduced to meet the existing competitive market. The success of our project will bring high-technology at low cost to a key component of shrimp production- water quality monitoring and control, while reducing the environmental impact of this form of agriculture.The project will utilize specialized laser techniques to exploit fundamental properties, known as Raman spectra, of the waste products in shrimp production- ammonia, nitrite, and nitrate. Specialized hardware and computer software will transform the data from optical beams produced in the instrument to readouts that have clear meaning to the aquaculture farmer. These outputs will enable the farmer to monitor and control waste levels in the grow-out tanks locally and remotely, thereby reducing labor and increasing reliability and production.The ultimate goal of the project is to bring down costs of fresh, domestically-, locally-grown aquaculture so that individuals, smaller consortia, and NGOs can enter and operate these systems successfully. By doing so these can enable healthy dietary habits,provide entrepreneurial opportunities, and improve local economies.
Animal Health Component
60%
Research Effort Categories
Basic
(N/A)
Applied
60%
Developmental
40%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
30737192010100%
Knowledge Area
307 - Animal Management Systems;

Subject Of Investigation
3719 - Other cultured finfish;

Field Of Science
2010 - Physics;
Goals / Objectives
Our Goals:The goals of this project are to improve the effectiveness of aquaculturalists and enable newcomers to enter this farming business with a high degree of success at low capital and operating costs.Our Objectives:1. Develop an optical (Raman shift) sensor for simultaneous ammonia nitrogen, nitrite, and nitrate2. Employ an integrated sensor / processor to develop a low cost, easy to use device3. Provide continuous measurement and immediate remote alarm when tank conditions deteriorate4. To increase the production of salt water shrimp in existing systems5. Reduce crop loss resulting from uncontrolled or excessive waste (ammonia, nitrite, nitrate nitrogen) production in grow-out tanks.6. Demonstrate lower cost of operation of shrimp raising in smaller systems
Project Methods
The project will be conducted primarily in the laboratory testing our sensor prototype with calibrated solutions of synthetic shrimp waste components- ammonia, nitrite, and nitrate in water. Our sensor will be fabricated with custom built optical components assembled with available lasers and detectors. The data will be collected with microcomputers attached to our custom-built interface hardware. Analysis will be carried out using our custom software that will produce concentration readout for the waste components. The data will be compared to the synthetic solutions. These solutions will be calibrated using standard laboratory methods. Deviation from these standard methods will be adjusted by further calibration of our sensor.Following our sensor development, we plan testing with participation of members of our target audience. This will be done with analyzed water taken from operating shrimpers' tanks and finally field testing at shrimper's sites. The data will be compared with the shrimper's operating experience to demonstrate the value of the sensor in improving their operations. The demonstration will be open to the public and we plan to notify shrimpers and others with our own contacts and request announcement assistance with extension agents in the area.EvaluationOur initial prototype is implemented on an optical laboratory bench so that it can be readily modified as we carry out each of these tasks. Needed adjustments in sensor software and hardware/optics will be made to accommodate the test data as each task is carried out at the Enertrex laboratories.Task 1. Confirm pure component sensor concentration limits, optimize opticsThe sensor will be tested with a range of concentrations covering the ranges for our expected applications.Task 2. Develop sensor response for a range of mixtures, optimize opticsTests will be carried out to establish interaction coefficients for the target applications over the selected concentration range of concern to shrimpers. For example, how much nitrate will cause an error in nitrate reading, etc.Task 3. Obtain samples from at least two locations for each of our target applications, test the sensor with these and then optimize the optics to increase accuracy. We plan to test at least two samples from each site at different times. Samples will be characterized by commonly used methods in aquaculture such as: wet chemistry, colorimeter, and Ion Selective Electrode (ISE) and for solids: mechanical filters, and furnace.Milestone One. Completion of sensor calibration for concentration and solids contentAt this point, the tested system is ready for integrating into our 'process' package.Task 4. The format to be developed is a 'process' format that features continuous sample flow through our package and return to the grow out tank, optimize optics. We will integrate the optical flow through sensing chamber with the valves, pump, and controller that will transport the tank water to the sensor package and return it to the tank. These components also perform the functions of self-calibration and self-cleaning by multiplexing streams through the sensor chamber. Typically, the tank water flows continuously except for occasional short alternation with reference solution for calibration and clear water for cleaning. The appropriate cycle timing will be determined during operation with tank waters. A type of calibration fluid cartridge will be designed to provide the calibration fluid in a convenient manner.Task 5. Detail design our self-calibration hardware and software, optimize optics. This function will be implemented with a valve set and standards reservoir interconnected to our flow through sensor cell.Milestone Two. Flow though "process" prototype ready for laboratory testingTask 6. Flow through prototype will be calibrated with mixtures of standards in a continuous loop.Task 7. The prototype will be tested with an actual tank fluid at a nearby aquaculture operation.Milestone Three. The flow through "process" model of the prototype will be ready for Phase II development during field testing.

Progress 07/15/18 to 03/14/20

Outputs
Target Audience:Our target audiences include aquaculturists such as novice and experienced aquacultural farmers and producers, state agents and extension agents, academic researchers, and industrial professionals. Our goal is producing an economic tool using low-cost, high-tech hardware and Creative Commons open source software so that groups from community gardens, non-for-profits, and NGOs which serve the underserved populations can also afford our product for their systems. The grow-out waters were obtained from eight different operating aquaculture operations in the Midwest and Eastern states areas. In total, over 20 different sources were included from these operations including aquaponics, RAS grow-out, hatchery, hydroponic, laboratory, and ponds. Both fresh and saltwater samples were obtained. Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided?Training Three students - one physics master's student, one computer science master's student, and one computer science undergraduate student - have had the opportunity to assist the project team in implementing design modifications to the optical bench and develop software and hardware for the final products. How have the results been disseminated to communities of interest?We have met, interacted, and disseminated our findings regarding this project while visiting and collecting water samples from aquaculture farmers, operators and researchers in more than eight locations nationwide. We continue keeping in touch and update our progress and final results to our network of aquaculture practitioners through emails, site visits, reports, and Enertrex's website. What do you plan to do during the next reporting period to accomplish the goals? Nothing Reported

Impacts
What was accomplished under these goals? The IMPACTS of our project: Interest in domestic aquaculture production is increasing among American farmers to diversify the crops and response to growing demand of locally produced and healthy food consumption. However, many factors challenge the US to meet this need. Large investment, major labor commitment, skills and technical insights - in particular monitoring grow-out water parameters including ammonia, nitrite, and nitrate - are among significant bottlenecks. Applied high technology, remote monitoring, and automation tools with low cost are the future ways to help farmers, especially startups, achieve the needed efficiencies to improve profit and reduce mortality loss which are critical to business survival in aquaculture. The Enertrex team developed an optical sensor that utilizes specialized laser techniques, known as Raman spectra, for simultaneous ammonia, nitrite, and nitrate nitrogen measurements. This integrated sensor / processor device can provide continuous read-outs and send remote alarms when tank conditions deteriorate. The prototype system was validated with water quality standards, was tested with tank water samples from over 20 farms around the country, and optimized with inputs directly from farmers. Successful outcomes of this project can enable new entrants into aquaculture, including entities with limited resources -- small farmers, beginner farmers, NGOs, local entrepreneurs -- and provide an efficient tool for new and existing farmers to proactively manage their operations, improve animal health, boost economic gain, and limit the number of failed operations. The ultimate results will lower dependence on imports, which are currently more than 90% of available aquaculture products on the market, and create jobs for a diverse workforce. Objectives 1-3: *** Major activities completed / experiments conducted; Developed and calibrated our prototype detector Designed and constructed our flow through panel to enable automatic sampling Tested our sensor system with potential absorption interferences and contaminants Optimized our sensor system with simulated aquaculture water *** Data collected Confirmed pure component sensor concentration limits, optimized optics Developed sensor response for a range of mixtures *** Summary statistics and discussion of results Sensor calibration for ammonia, nitrite, nitrate concentrations and solids content was completed. The sensor was then integrated into our flow-through process prototype and made ready for laboratory testing. The system format we developed features a continuous sample flow through our package and return to the grow-out tank. Our design includes self-calibration hardware and software. *** Key outcomes or other accomplishments realized For our sensor to have an impact on aquaculture farmers, it must accommodate both a complex mixture of components found in aquaculture water and efficient use by those farmers. These essential issues had to be explored and resolved. We accomplished this once our Raman sensor was integrated successfully into flow-through sensor unit, thereby enabling us to demonstrate the efficacy of the prototype developed during this project. We also developed our capability to design and fabricate the data acquisition, analysis, and control electronics needed for operation. Objectives 4-6: *** Major activities completed / experiments conducted Flow through prototype was calibrated with mixtures of standards and tested with actual tank fluids in an integrated prototype system. *** Data collected Tests were conducted on our optical bench to gain additional sensitivity and selectivity of our Raman sensor. This data was utilized to guide the development of our project prototype. This prototype was used to take data with calibration standards and field-derived water from over 20 operating aquaculture systems around the country. We have collected these samples from six types of grow-out tanks in a variety of locations including pure biofloc, enhanced biofloc (using solids and nitrite separators), pure RAS (Recirculating Aquaculture System), aquaponics, and outdoor ponds. Samples have come from three operating farms, two university research/extension systems, and our own modified biofloc operation. As a reference, at four of the operations we carried out on-site comprehensive compositional analysis using commercial chemical testing. At all sites, we have collected available data they have taken and have samples of their feed. *** Summary statistics and discussion of results The project has demonstrated that our concept of a "Smart Sensor for Aquaculture Nitrogen Using Raman Spectroscopy" is feasible and worthy of further development towards commercialization with a focus on increasing sensitivity. *** Key outcomes or other accomplishments realized Changes in knowledge: Farmers and aquaculture practitioners will gain knowledge of their own farms e.g. water quality, growth performance, food conversion ratio as a result of more data collected automatically. More under-served youth and adults will have opportunities to enter the industry due to the decreasing total cost of ownership of small and mid-sized aquaculture systems and the reduction in technical training and manual labor required to operate salt water shrimp systems, aquaponics and RAS aquaculture. Consumer buying habits are changing; locally grown shrimp and fish can become more widely available to meet the demand. Changes in action: The replacement of static manual nitrogen parameter measurements with our smart Raman sensor can enable effective remote management and informed-decision making in monitoring of aquaculture production. Applying our low-cost, high-tech system to water quality control optimizes the production of aquatic animals from working lands while protecting the Nation's natural resource base and environment. Changes in condition: Increasing domestic aquaculture production leads to reducing imports. The more farm-raised products available for consumption, the more familiar consumers are to the idea of consuming farmed-products than wild-caught which will reduce over-fishing and the pressure on un-replaceable natural resources. More locally available aquaculture products can encourage healthy-diet resulting in reducing obesity rates and improving nutrition and health. A common solution for poor water quality in aquaculture is replacing grow-out water with good clean water. With more knowledge gained, farmers have the option to adjust water quality before the water turns bad and needs replacement. This will lower the amount of natural clean water to be used for replacement and less waste water released from farms.

Publications


    Progress 07/15/18 to 07/14/19

    Outputs
    Target Audience:Our target audiences include aquaculturists such as novice and experienced aquacultural farmers and producers, state agents and extension agents, academic researchers, and industrial professionals. Our goal is producing an economic tool using low-cost, high-tech hardware and Creative Commons open source software so that groups from community gardens, non-for-profits, and NGOs which serve the underserved populations can also afford our product for their systems. The grow-out waters were obtained from eight different operating aquaculture operations in the Midwest and Eastern states areas. In total, over 20 different sources were included from these operations including aquaponics, RAS grow-out, hatchery, hydroponic, laboratory, and ponds. Both fresh and saltwater samples were obtained. Interaction With Farmers/Growers We have collected samples including pure biofloc, enhanced biofloc (using solids, nitrite, and nitrate separators), pure RAS (Recirculating Aquaculture System), aquaponic, and outdoor ponds. Samples have come from three operating farms, four university research/extension systems, and our own modified biofloc operation. As a reference, at four of the operations we carried out on-site comprehensive compositional analysis using commercial chemical testing. At all sites, we have collected available data they have taken and have samples of their feed. Preliminary results from this work are presented in our technical interium report; the focus has been on identifying potential interfering compounds in the grow-out waters and feeds. Three more field site samplings are planned. Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided?Training Two students - one physics master's student, and one computer science student - have had the opportunity to assist the project team in implementing design modifications to the optical bench and develop software and hardware for the final products. Professional Development One applied scientist directs the overall operation of the project; is responsible for overseeing the implementation of project activities including technical integration of all sensor components; sets up and conducts experiments in the laboratory; designs and implements the process components of the sensor; designs and directs the gathering; tabulating and interpreting of required data; is responsible for overall program evaluation and progress; and is the responsible authority for ensuring necessary reports/documentation are submitted as required. This position relates to all program objectives. One aquaculture engineer is responsible for sensor testing in and out of laboratory, interfacing with aquaculture farmers during development and testing to obtain samples and gain feedback on our designs, conduct qualitative and quantitative laboratory testing of sensor hardware, design and guide sensor user interface microprocessor software. One research scientist/chemist gains experience on development of sensor chemistry testing, and for maintaining and developing intellectual property for the team. One physicist works on sensor / detector signal processing and optical bench design. How have the results been disseminated to communities of interest?We have met, interacted, and disseminated about this project idea while visiting and collecting water samples from aquaculture farmers, operators and researchers in more than eight locations nationwide. We will continue keeping in touch and update our progress and final results to our network of aquaculture practitioners through emails, site visits, reports, and Enertrex's website. What do you plan to do during the next reporting period to accomplish the goals?We will continue working on our modified optical system and gather more field data from operating aquaculture sites to optimize our design and final products.

    Impacts
    What was accomplished under these goals? The primary purpose of the project's research is to demonstrate that ammonia, nitrate, and nitrate can simultaneously be measured quickly and inexpensively in aquaculture grow-out waters. This would be done in a way that would require minimal labor and skill, could be automated to enable unattended operation, and not require chemical consumables to operate. The research carried out during this project has focused initially on demonstration of our core sensing tool- Raman shift. Investigations of sensitivity and linearity are being carried out using our bench setup with simulated and actual aquaculture grow out waters. To date we have found that the target component concentrations can be calibrated and that the 'background' optical properties of the samples do not significantly impact the accuracy of the sensor. However, we have had to redesign our optical system to increase sensitivity. This activity is ongoing. We are finding that the optimal wavelengths for sensing can be interfered with by our laser emitter if that emitter does not have sufficient spectral purity. We are investigating this finding by conducting experiments with a variety of candidate emitters. Our research has direct application to our target vision of a low-cost, automatic ammonia, nitrite, and nitrate sensor package for aquaculture where there are no sensors available at our sensor cost. Our findings suggest that our sensor may have applications in water quality and wastewater processing markets where our accuracy and precision are acceptable, and our cost can be quite competitive. Calibrate our existing prototype detector We are calibrating our modified prototype detector with representative aquaculture tank waters as well as calibrated reagents and solids. To date, we have examined from eight locations 22 varied aquaculture samples and plan to test at least three more locations to meet the total of ten described in our proposal. Construct the flow through panel As we have modified the optical configuration of our initial prototype to gain needed sensitivity, we are in the process of redesigning and constructing the flow through panel and related control hardware and control software that will allow near real-time measurements. Integration of the detector and flow through panel are in progress. Study the impact of potential absorption interferences and contaminants Demonstrate that the potential absorption interferences and contaminants can be handled by our system. This involves collaboration with some of the aquaculture farmers we have worked with in the past to gather samples and get feedback on operational issues. This effort is in progress. Milestone One. We are completing sensor calibration for concentration and solids content. We are preparing for integrating it into our 'process' package. Milestone Two. (in progress) Flow though "process" prototype ready for laboratory testing Milestone Three. The flow through "process" model of the prototype will be ready for Phase II field testing. Achieving Milestone Three has taken additional time due to further development of the optical bench to gain additional sensitivity, selectivity, and provide for testing of these components.

    Publications