The
development of a versatile sensing strategy for the damage-free
characterization of cultured cells is of great importance for both
fundamental biological research and industrial applications. Here,
we present a pattern-recognition-based cell-sensing approach using
a multichannel surface plasmon resonance (SPR) chip. The chip, in
which five cysteine derivatives with different structures are immobilized
on Au films, is capable of generating five unique SPR sensorgrams
for the cell-secreted molecules that are contained in cell culture
media. An automatic statistical program was built to acquire kinetic
parameters from the SPR sensorgrams and to select optimal parameters
as “pattern information” for subsequent multivariate
analysis. Our system rapidly (∼10 min) provides the complex
information by merely depositing a small amount of cell culture media
(∼25 μL) onto the chip, and the amount of information
obtained is comparable to that furnished by a combination of conventional
laborious biochemical assays. This noninvasive pattern-recognition-based
cell-sensing approach could potentially be employed as a versatile
tool for characterizing cells.