Standardized spectroscopy method for detecting mycotoxins in corn
A novel spectroscopy-based method for rapidly detecting mycotoxins in corn, offering a faster and more cost-effective alternative to traditional extractants, validated to TRL 6 and ready for further standardization.
Overview
Persistence Data Mining has developed a groundbreaking method utilizing reflectance spectroscopy to detect mycotoxins in corn. This innovative approach promises a faster and more cost-effective alternative to traditional extractant methods, building on successful prior implementation in barley. Our method is designed to streamline the testing process, offering significant improvements in speed and cost efficiency.
Technical specifications
Key features:
- Utilizes reflectance spectroscopy for rapid mycotoxin detection
- Offers a faster and less expensive solution compared to extractants
- Built on validated methodologies previously applied to barley
- Collaborative efforts with ASTM, IEEE, and NIST for method standardization
Application process:
- Acquire samples of infected and non-infected corn from diverse sources
- Analyze samples using the spectroscopy method
- Validate results through comparison with lab-tested samples
- Submit findings for further standardization
Technology readiness level
This method is currently at Technology Readiness Level 6, indicating it has been validated in relevant environments and is ready for further validation and standardization efforts. Persistence Data Mining actively collaborates with standards organizations to ensure widespread adoption and reliability.
About Persistence Data Mining
Persistence Data Mining Inc., which rebranded as Soilytics Inc. in November 2024, is an AgTech company that provides advanced soil fertility diagnostics. The company developed the Soilytics platform, which utilizes proprietary hyperspectral imaging technology and advanced algorithms to replace traditional, time-intensive chemical soil testing with faster, physics-based analysis. This technology is designed to create accurate, granular soil nutrient maps, allowing farmers, agronomists, and land managers to optimize fertilizer application, improve crop yields, and enhance soil health while reducing environmental impacts such as runoff.
By offering near real-time insights into soil health and nutrient management, the company helps agricultural stakeholders navigate challenges such as soil degradation and rising input costs. Their solution is intended to streamline the process of creating prescription maps, moving beyond the inefficiencies of manual lab-based sampling. The company, which has been recognized with industry honors such as an R&D 100 Award, works with partners in the precision agriculture market to integrate its digital diagnostic capabilities into broader farming operations.
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