A world of information in a drop
A 5iTech Company
The chemical and physical changes that take place during the “self-organization process” of liquids as they dry result in characteristic curves of sensor response vs. time.  Proprietary algorithms are then used to analyze electronic data collected. 
Examining the algorithmic deconstruction of the drying sequence, as opposed to piecing together multiple chemical or physical measurements, gives the operator direct information about sample properties without the need for interpretation of multiple test results.
Aria Analytics, Inc., Copyright 2010, All Rights Reserved
Correlation of data points derived from the analysis algorithms results in a tight clustering of results from similar samples. 
 
Even minute deviations from standard formulations lead to results clearly outside the standard cluster. 
Nonlinear dynamic processes in drying drops (phase transitions), which depend on the specific liquid’s content and structure
A special sensor to register these dynamics
The technique is sensitive to a range of variables, including:

Surface Tension

Wetability

Viscosity

Internal Structure

Dispersion (Colloids)  

Thermal Conductivity

Ionic Forces  

Gel-Forming Substances
The Aria System is based on two phenomena:

Technology

The Processed information makes it possible to obtain “fingerprints” of liquids, create a database, and test for the presence of deviations from normal.
Drop drying on
resonator
Constant resonant frequency
Measuring and recording of phase transitions