Flexible Sensors—From Materials to Applications
Abstract
:1. Introduction
2. Materials and Methods
2.1. Conductors
2.1.1. Metals
2.1.2. Amorphous Oxide Conductors
2.1.3. Carbon Conductors
2.1.4. Organic Conductors
2.2. Semiconductors
2.2.1. Metal Oxide Semiconductors
2.2.2. Organic Semiconductors
2.2.3. Flexible Silicon
2.2.4. Transition Metal Dichalcogenides (TMDs)
2.2.5. Black Phosphorus
2.2.6. Perovskites
2.3. Dielectrics
2.4. Substrates
2.5. Fabrication Methods
3. Sensors
3.1. Strain Sensors
3.1.1. Resistive Strain Sensors
3.1.2. Capacitive Strain Sensors
3.1.3. Piezoelectric and Other Strain Sensors
3.2. Pressure Sensors
3.2.1. Resistive Pressure Sensors
3.2.2. Capacitive Pressure Sensors
3.2.3. FET Pressure Sensors
3.2.4. Piezocapacitive and Piezoelectric Pressure Sensors
3.3. Temperature Sensors
3.3.1. Resistance Temperature Detectors
3.3.2. Thermistor
3.3.3. Pyroelectric Temperature Sensors
3.3.4. Other Temperature Sensors
3.4. Humidity Sensors
3.4.1. Resistive Humidity Sensors
3.4.2. Capacitive Humidity Sensors
3.4.3. Other Humidity Sensors
3.5. Magnetic Sensors
3.6. Chemical Sensors
3.6.1. Resistive Chemical Sensors
3.6.2. Electrochemical Sensors
3.6.3. FET Chemical Sensors
3.6.4. Optical
3.7. Electromagnetic Radiation Sensors
3.8. Multi Modal Sensors
3.9. Electropotential Sensors
3.9.1. Resistively Coupled Electrodes
3.9.2. Capacitively Coupled Electrodes
3.10. Orientation Sensors
3.11. Ultrasonic Sensors
4. Simulation
5. Circuits
6. Applications
6.1. Robotics and Motion Tracking Applications
6.2. Health Monitoring
6.3. Smart Textile Applications
7. Conclusions
- Nanostructured and nano-engineered materials. This has been boosted by the creation of nanostructures such as metal nanowires, nanotubes, nanoflakes, micro and nano particles, as well as urchin-shaped particles. These configurations have been widely researched as a result of the high surface to volume ratio of these structures, which makes them attractive for gas sensors, and their ability to form highly conductive networks.
- Novel materials. Transition metal dichalcogenides, along with black phosphorus, have been effective on the fabrication of high-performance light and gas sensors. Also relatively recent to the field of flexible sensors is the usage of perovskites as part of electromagnetic sensors and solar cells. The latter can be used for the development of self powered flexible sensor systems.
- Composite materials. Combinations of different materials have been explored to overcome the limitations of their individual components. For example, by embedding metal nanostructures and carbon nanotubes in highly conformable substrates such as PDMS, highly stretchable and conductive structures have been developed. In addition, highly sensitive strain sensors have been fabricated using hybrid structures based on ionic liquids, graphene and metal nanostructures.
- On-site signal conditioning circuits. Recent development in flexible TFT technologies enabled the implementation of active circuitry for the front end of flexible sensor systems. This allowed the development of more complex and sophisticated sensor systems with higher SNR due to the incorporation of signal acquisition, amplification, multiplexing and transmission on a single substrate. Furthermore, this has also made possible the development of high impedance capacitively coupled electropotential sensors.
- Repeatability. Most of the fabrication techniques for flexible sensors do not offer reliable results in terms of device repeatability. This is especially challenging for the transition of these approaches to commercial applications.
- Flexible/Rigid readout Interface. The connection between flexible substrates and rigid data acquisition systems is a challenge. The difference in the mechanical properties between rigid and flexible materials induces stress concentrations on the connection points, leading to prompt failures on the less rigid component.
- Large Area vs Performance. The majority of the available fabrication methods compatible with large area processing, such as screen printing and spin coating, typically result in devices with non-homogeneous performance. In addition, these devices tend to exhibit worse performance when compared to similar devices fabricated using more complex and spatially constrained techniques.
- Hysteresis. Most flexible sensors are affected by hysteresis and therefore are not ideal for measurements over a prolonged period of time. This effect is more widely observed on stretchable sensors.
- Power options. Most of the batteries are not flexible and the development of flexible energy harvesters capable of reliably generating power for the sensors is not yet easily performed.
- Device modularity. Flexible sensors are typically monolithic structures. Although this can reduce noise and lead to more stable systems, rigid systems benefit from modular replaceable parts that can be easily integrated together or repaired.
- Feature size. The minimum feature size for flexible structures is limited by the surface roughness and structural instability of flexible substrates.
- Long Term Stability. Flexible devices suffer from deterioration in the long term caused mostly by chemical and mechanical stress. This is particularly observed for organic materials.
- Encapsulation. Flexible sensors need to be encapsulated e.g. to be embedded in smart textiles. This is of paramount importance to improve parameters such as biocompatibility, long term stability or washability.
Author Contributions
Funding
Conflicts of Interest
References
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Material | Type of Sensor | Total Thickness (µm) | Gauge Factor | Stretchability (%) | Response Time (ms) | Hysteresis |
---|---|---|---|---|---|---|
Parylene-Ti/Au [366] | Resistive | 1.145 | - | <3 | - | - |
PDMS-SWCNT-paper [379] | Resistive | 1090 | 50 | 300 | - | |
Thermoplastic polyurethane-Graphene/Silver Nanoparticles [376] | Resistive | 300 | 7-476 | 1000 | - | - |
Latex-AuNWs [374] | Resistive | - | 9.9 | >350 | <22 | - |
Ecoflex™ (00-50)-ethylene glycol and sodium chloride [385] | Resistive | 2000 | <4 | 830 | - | 0.15% (250%) |
Material | Type of Sensor | Total Thickness (µm) | Sensitivity (%\kPa) | Detection Range (Pa) | Response Time (ms) |
---|---|---|---|---|---|
Copolymer nanofibres with CNTs and graphene particles on a PET substrate [417] | resistive | 2 | to | 8 to 10,000 | 20 |
PIDT-BT, PIDT-BT:TCNQ, and P3HT semiconductors with PAA:PEG dielectric [9] | OFET | 176 | 2980 to 45,270 | 200 to 35,000 | 57 |
PDPP3T semiconductor with a CYTOP protective dielectric layer [10] | SGOTFT | ≈55 | 19,200 | 0.5 to 5000 | <10 |
Urchin-shaped ZnO microparticles on a PET/ITO layer [422] | resistive and piezoresistive | ≈254 | 7500 to 12,100 | 0.015 to 10,000 | |
PVA NWs, PPy and PET/ITO [70] | piezoresistive | ≈170 | 1190 to 22,850 | 2.97 to 10,000 | 66.8 |
Material | Type of Sensor | Total Thick. (µm) | Sensitivity | Temperature Range | Stretch. % | Bend. | Resp. Time | Hyster. |
---|---|---|---|---|---|---|---|---|
-Mg--Ecoflex™ [442] | Resistive | %/ | 10 | 10 | - | |||
Parafilm-PAM%/carrageenan double network hydrogel [450] | Resistive | 1500 | 2.6%/ | 330 | 13 | 4% (150% strain) | ||
PI-Ni [342] | Resistive | - | %/ | −60 to 180 | - | - | - | - |
PI-Ti/Au [438] | Resistive | ≈50.1 | / | 30 to 60 | 8 | 300 | - | - |
SEBS-SWCNT [460] | TFT | 124.2 | −24.2 / | 15 to 55 | 60 | - | - | - |
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Costa, J.C.; Spina, F.; Lugoda, P.; Garcia-Garcia, L.; Roggen, D.; Münzenrieder, N. Flexible Sensors—From Materials to Applications. Technologies 2019, 7, 35. https://doi.org/10.3390/technologies7020035
Costa JC, Spina F, Lugoda P, Garcia-Garcia L, Roggen D, Münzenrieder N. Flexible Sensors—From Materials to Applications. Technologies. 2019; 7(2):35. https://doi.org/10.3390/technologies7020035
Chicago/Turabian StyleCosta, Júlio C., Filippo Spina, Pasindu Lugoda, Leonardo Garcia-Garcia, Daniel Roggen, and Niko Münzenrieder. 2019. "Flexible Sensors—From Materials to Applications" Technologies 7, no. 2: 35. https://doi.org/10.3390/technologies7020035