Spurred by outstanding
optical properties, chemical stability,
and facile bioconjugation, plasmonic metals have become the first-choice
materials for optical signal transducers in biosensing. While the
design rules for surface-based plasmonic sensors are well-established
and commercialized, there is limited knowledge of the design of sensors
based on nanoparticle aggregation. The reason is the lack of control
over the interparticle distances, number of nanoparticles per cluster,
or multiple mutual orientations during aggregation events, blurring
the threshold between positive and negative readout. Here we identify
the geometrical parameters (size, shape, and interparticle distance)
that allow for maximizing the color difference upon nanoparticle clustering.
Finding the optimal structural parameters will provide a fast and
reliable means of readout, including unaided eye inspection or computer
vision.