Resonant Sensor Cell-Responsive Layer for Small-Cell Detection

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Resonant sensors struggle to detect small targets, such as cells, due to their sensing region being proportional to the sensor size, leading to limited sensitivity and detection capability for micrometer-scale objects.

Innovation Solution

Incorporating a cell-responsive layer with a resonant sensor, which interacts with secreted molecules from cells, enhancing signal sensitivity by changing properties like elasticity and altering the resonant frequency in response to cell growth.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Volume of moving object

If the resonant sensor size is reduced to detect smaller targets, then the sensing region decreases, but the sensitivity towards micrometers size targets remains insufficient

Engineering Contradiction:
Improvesensing region volumeVSAvoiddetection sensitivity
Core Design Contradiction:
Volume of moving objectVSMeasurement precision

Solution Approach 1:

A cell-responsive layer is introduced as an intermediary between the resonant sensor and the cells. This layer accumulates secreted molecules from cells, creating a concentrated signal that the resonant sensor can detect. The mediator amplifies the weak signal from individual cells by collecting and concentrating the secreted molecules over time and space, enabling detection despite the small sensing region of miniaturized sensors.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system changes the detection parameter from direct cellular mass detection to molecular concentration detection. By monitoring the accumulation of secreted molecules in the cell-responsive layer, the system transforms the measurement into a concentration-based detection method, which provides enhanced sensitivity for detecting cellular activity from micrometer-scale targets.

Inventive Principle:
Principle #35Parameter changes

2Length of moving object

If the resonant sensor size is reduced, then the sensor can target smaller objects, but the contribution to permittivity change becomes too small to detect

Engineering Contradiction:
Improvesensor dimensionVSAvoidpermittivity change detection
Core Design Contradiction:
Length of moving objectVSMeasurement precision

Solution Approach 1:

The cell-responsive layer serves as a signal-amplifying intermediary that accumulates secreted molecules. This accumulation creates a measurable permittivity change in the layer itself, which is much larger than the direct permittivity change from the small cells. The resonant sensor detects the permittivity change of the accumulated molecules in the layer rather than the tiny permittivity change from the cells directly, enabling detection with miniaturized sensors.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The cell-responsive layer performs preliminary accumulation of secreted molecules before the resonant sensor进行检测. This preliminary action of concentrating molecules over time creates a sufficient signal level that enables detection by the small sensor, which would be incapable of detecting the weak signal from cells alone.

Inventive Principle:
Principle #10Preliminary action

3Area of stationary object

If a larger sensor is used, then the sensing region increases, but the sensor cannot exhibit sensitivity towards micrometers size targets

Engineering Contradiction:
Improvesensing region areaVSAvoidcell detection sensitivity
Core Design Contradiction:
Area of stationary objectVSMeasurement precision

Solution Approach 1:

The cell-responsive layer creates a localized concentration of secreted molecules directly at the sensor surface, concentrating the signal in the specific region where detection occurs. This local accumulation ensures that even though the overall sensing region may be large, the detection sensitivity at the critical interface between sensor and sample is enhanced, enabling detection of micrometer-scale targets.

Inventive Principle:
Principle #3Local quality

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

The combination of a resonant sensor with a cell-responsive layer allows for non-invasive, wireless, and cost-effective monitoring of cell growth and concentration, providing enhanced sensitivity and detection capabilities for various cell types, including eukaryotes and prokaryotes.

Implementation Method 1

Resonant sensors are wireless, passive, and cost effective and are potential candidates for these measurements

Methodology Applied
Scientific EffectResonance: Resonance

Implementation Method 2

enhancing signal sensitivity by changing properties like elasticity and altering the resonant frequency in response to cell growth

Methodology Applied
Scientific EffectElasticity: Elasticity

Data Source

PatentUS20260023004A1Signal enhancement of resonant sensor for cell measurements
Publication Date: 2026.01.22 IOWA STATE UNIV RES FOUND INC
  • US20260023004A1 patent drawing
  • US20260023004A1 patent drawing
  • US20260023004A1 patent drawing

AI summary

A variety of applications can include cell-responsive structures to provide enhanced sensitivity of a resonant sensor in cell detection. A cell-responsive layer can be structured over a resonant sensor. The arrangement of the resonant sensor and the cell-responsive layer can be implemented as a resonant sensor to measure changes in cells. With the cell-responsive layer responsive to cells proximate to the cell-responsive layer, changes in resonant frequency of the arrangement of the resonant sensor and the cell-responsive layer over time at which the cells are proximate to the cell-responsive layer can be monitored. Interrogating the resonant sensor can be conducted wirelessly along with wirelessly transmitting data collected from the interrogation. Additional apparatus, systems, and methods are disclosed.