Grant Information
| Knowledge Area | Subject of Investigation | Field of Science | Percent |
|---|---|---|---|
| 212 - Pathogens and Nematodes Affecting Plants | 999 - Citrus, general/other | 2020 - Engineering | 80% |
| 212 - Pathogens and Nematodes Affecting Plants | 999 - Citrus, general/other | 1160 - Pathology | 20% |
Huanglongbing (HLB) is a pathogen that devastates citrus crops; growers and public response agencies need a portable, sensitive, in-field device to detect this pathogen in citrus crops. However, there are no low-cost, robust diagnostic tests currently available for early identification of this or other citrus pathogens under field conditions. Quantitative polymerase chain reaction (qPCR) testing is the current regulatory decision-making standard for detection of HLB in citrus. qPCR has an evidence-based threshold value that is conservative enough to avoid excess false positives that could undermine trust. However, for decision-making by a grower, qPCR is not ideal. Early diagnosis is difficult to achieve because of highly non-uniform distribution of the bacteriumin a tree and there are seasonal and cultivar variations in bacterial llevels.There are strong motivations to find diagnostic processes that are based on changes in the plant that are induced systemically throughout the plant, making sampling less problematic. This programdirectly responds to the need to reduce the impact of plant pathogens and insect pests on citrus crops by developing a means of early detection. One approach that we are taking is analysis of the odor provide of healthy and diseased trees. We will develop an odorsampling protocol that will be low-cost and user-friendly, applicable to both grove owners as well as residential owners who have citrus on their residential property. We propose to develop a sampling technology and process that does not require highly-trained technicians and expensive equipment. This program will develop robust HLB signature libraries targeting accuracies of 0.9 or better on a tool that will have high throughput and be automated for low-cost operation (about 1/3 the cost of current qPCR testing).
Huanglongbing (HLB) is a pathogen that devastates citrus crops; growers and public response agencies need a portable, sensitive, in-field device to detect and monitor pathogens. However, there are no low-cost, robust diagnostic tests currently available ...
Methods will include:Development of odor collection technologies.Development of odor sampling protocols to achieve minimum 96 samples a day.Collection of odor samples of both healthy and HLB-infected citrus.Perform tatistical analysis of odor samples and demonstrate accuracy of 0.9 or better.
Methods will include:
Target Audience
The target audienceincludes investors, citrus growers, state and federal regulators of plant pathogens, andresearchers involved in understanding and controlling plant pathogens, especially HLB and similar pathogens.
Changes / Problems
Nothing Reported
Training & Professional Development
Nothing Reported
Dissemination Streams
Nothing Reported
Next Reporting Steps
Nothing Reported
Target Audience
The target audience in the effort to develop the CommercializationPlanincludes investors and other stake holders, includingcitrus growers, state and federal regulators of plant pathogens, researchers involved in understanding and controlling plant pathogens, especially HLB and similar pathogens.
Changes / Problems
Nothing Reported
Training & Professional Development
Nothing Reported
Dissemination Streams
Nothing Reported
Next Reporting Steps
We plan to complete Milestone 4, which means completing the sampling carousel. Then we will start to collecte data on healthy versus diseased citrus trees and complete the milestones of Task 3. We will also start to implement the Commercialization Strategy completed under Larta. <br><br>
<br>What was accomplished under these goals? Task 1: Automated sample loading and operation Goal: Achieve automated operation with a carousel of 32 samples. The effort with Ascendant Engineering Solutions (AES) was delayed at the start as the funds in the Prime Award to ANI were withheld "pending receipt and approval of supporting justification for salary rates for consultants Ascendant Engineering Solutions ($76,813)". The funds were released on 12/21/2016, about 3 months after the start of the program. We are about 2 months behind - we are catching up with the time lost at the start. Task 1a: Define the requirements: Status: Completed. See Appendix 2 - Proof of Concept Design Review. Task 1b: Engineering approach for sample carousel configuration: Milestone 2: Initial design review. Milestone completed. Task 1c: Design the first carousel prototype AES staff and ANI will work closely to design the sample carousel. AES will work with ANI to test concepts as needed. Milestone 3: Final design review. Milestone completed, see Appendix 2 - Proof of Concept Design Review. Task 1d: Complete first engineering prototype AES will build the sample carousel. AES will also work with ANI to automate the operation of the GC-DMS coupled with the sample carousel. Status: As of July 13, 2017, the initial assembly is 60% completed. Milestone 4: Automatic sample loading from the carousel to the GC-DMS is achieved. Status: In progress. Expect this to be achieved Sept, 2017. Task 2: Increase speed/throughput of instrument Goal: Achieve testing of 96 samples per day (about 15 minutes/sample with 24 hour operation). We will modify one of the instruments delivered earlier to the California CRB (CRB-funded program) to achieve fast automated operation sufficient to commercial viability, accepting the needle sample platform demonstrated in Phase I of this program. The improved instrument and libraries for testing Navel, Lisbon Lemon, and Mandarins (Task 3) will be delivered back to the CA CRB at the end of the program, achieving accuracy of 0.90 or better. Milestone 5: Operation equivalent to 15 minutes per sample is achieved. Status: We have achieved 7 minutes per sample. If we add a "cleaning run" (operate the analysis with no sample present to clean out any residual chemicals), this adds another 7 minutes so total 14 minutes. This is less than 15 minutes milestone; Milestone 5 has been achieved. Task 3: Demonstrate accuracy of > 0.9 Goal: Achieve accuracy of 0.9 or better for California Navel, Lisbon Lemon and Mandarins as well as Texas Rio Red grapefruit and Navel. Task 3a: Library building Status: The work described in this subtask has not started although we took advantage to participate in the California HLB baseline study (CA 1 and CA 1b) supported by the USDA and coordinated by UC Riverside and UC Davis. Through this effort, we have collected 260 needle samples using the etched needles. Initial analysis results are presented in Task 3b. Task 3b: Improve sample analysis software We have refined the set of the biomarkers and tuned their positions to match the VOC peaks for the citrus library built with the etched needles approach. The VOC signatures are further grouped into classes based on the citrus variety, rootstock, disease state (if known). The analysis software is also tested using ample citrus data obtained by CRB partners from different citrus trees in residential areas in California. In addition, we have outlined the architecture of the software needed to integrate the needle sampler with the existing VOC analyzer. This will synchronize the needle delivery to the sampling chamber with the readiness signals from the sensor. Signal enhancement through roughening the surface of the needles: In addition to improving the analysis software, we also tried to improve the signal-noise ratio by roughening the needles used to collect odor samples. At the beginning of the program, we were using standard sewing needles that were cleaned. We examined to processes for roughening the surface of the needle to increase the odor signal from the sample. Significant signal increase was achieved by electrochemical etching the needles to roughen the surface. Task 3c: Blind study Milestone 6: Achieve accuracy of > 0.9. Status: No work started yet per schedule. Task Responsibility: Dr. Fink will be responsible for directing this study, assisted by Chip Thuesen and Dr. Pavlovsky (ANI) and Prof. Cristina Davis of UC Davis. Dr. Pavlovsky will be responsible for software development. Task 4: Contract manufacturing Goal: Demonstrate that the GC-DMS equipment can be built for $75,000 or less. Task Responsibility: Dr. Fink will be responsible for this effort. Milestone 7: Achieve a cost per instrument of <br><b>Publications</b><br>