Intelligent Material turns a familiar field assay into a quantitative plant-health measurement: collect the sample, capture the target, read the optical signal and compare it with a calibrated baseline.
A conventional field strip is often treated as a visual screen. The IMS approach is designed around a machine-readable signal that can be calibrated against target concentration.
Intelligent Material reporters can be coupled to target-specific assay chemistry. The reader measures the optical response rather than asking the user to judge the darkness of a line.
Signal intensity, and where useful temporal response, can be used as quantitative dimensions. That creates a path toward standard curves, thresholds and longitudinal baselines.
The assay chemistry changes by target. The reader architecture can remain substantially the same.
The exact sample preparation and assay format are target dependent, but the architecture is straightforward.
Leaf, stem, root, twig sap or another validated sample is placed into a simple extraction workflow.
Target-specific capture chemistry retains the pathogen marker or plant-health analyte inside the assay.
Functionalized Intelligent Material binds to the captured target and becomes the optical reporter.
A compact reader excites the material and measures a low-background optical response, including time-domain information where useful.
The calibrated signal is translated into a concentration, relative disease burden, threshold or trend for the validated assay.
The important change is not merely faster detection. It is repeatable numerical information that can be compared over time.
IMS previously developed the agriculture diagnostic architecture around the goal of a rapid field assay that could correlate optical signal with HLB abundance rather than simply report presence or absence.
The earlier citrus program was built around conjugated nanocrystal reporters, a compact infrared reader, a standard curve and comparison against laboratory reference methods.
That same architecture is applicable to other plant-health targets when suitable capture reagents, sample preparation and validation are developed.
These are examples of plant pathogens that fit the field-diagnostic model. Each requires its own target-specific assay development and validation; the advantage is that the underlying Intelligent Material reader platform can be reused.
Quantitative field monitoring of a validated HLB target and comparison with a calibrated baseline.
Potential rapid screening across relevant plant tissues using target-specific capture chemistry.
Potential in-field viral detection with a quantitative optical readout rather than a visual line alone.
Potential field assay for bacterial wilt targets using the same reader and a dedicated cartridge.
Potential orchard screening for Fireblight with repeatable machine-read results.
IMS can work with assay-development, agricultural, university and instrument partners to pair target-specific biology with Intelligent Material reporters and quantitative optical readout.
Develop an agriculture assay →