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Ultraviolet (UV) imagers are important for a variety of applications, such as quality inspection in the semiconductor industry, forensics and food quality inspection, but are often costly because they require dedicated semiconductor process flows. Here, an imaging chip is introduced that has been fabricated using standard 40 nm complementary metal-oxide-semiconductor (CMOS) technology. Instead of using a conventional charge-based photodetection principle, the imager uses a capacitive operation principle where UV-light causes capacitance changes via the photodielectric effect in a functionalization layer, which are measured by the underlying CMOS circuitry. This spin-coated or inkjet-printed functionalization layer consists of solution-processed, wide-bandgap, semiconducting metal-oxide nanoparticles, such as ZnO, SnO2 and Ga2O3. Owing to their bandgap-dependent optical absorption, these materials exhibit distinct capacitive responses across UV-A, UV-B, and UV-C spectral regions, thereby enabling band-selective detection and multispectral UV imaging. The sensors exhibit low noise-equivalent powers (17-138 fW Hz−1/2) across the UV bands. Unlike conventional silicon CMOS imagers, the present capacitive-CMOS platform is inherently visible-blind, providing selective UV detection. This work positions late-functionalized capacitive-CMOS arrays as a route toward reducing the fabrication complexity of UV imagers, which can lead to their more widespread implementation in consumer and low-volume application-specific products.
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Ultraviolet (UV) imagers are important for a variety of applications, such as quality inspection in the semiconductor industry, forensics and food quality inspection, but are often costly because they require dedicated semiconductor process flows. Here, an imaging chip is introduced that has been fabricated using standard 40 nm complementary metal-oxide-semiconductor (CMOS) technology. Instead of using a conventional charge-based photodetection principle, the imager uses a capacitive operation principle where UV-light causes capacitance changes via the photodielectric effect in a functionalization layer, which are measured by the underlying CMOS circuitry. This spin-coated or inkjet-printed functionalization layer consists of solution-processed, wide-bandgap, semiconducting metal-oxide nanoparticles, such as ZnO, SnO2 and Ga2O3. Owing to their bandgap-dependent optical absorption, these materials exhibit distinct capacitive responses across UV-A, UV-B, and UV-C spectral regions, thereby enabling band-selective detection and multispectral UV imaging. The sensors exhibit low noise-equivalent powers (17-138 fW Hz−1/2) across the UV bands. Unlike conventional silicon CMOS imagers, the present capacitive-CMOS platform is inherently visible-blind, providing selective UV detection. This work positions late-functionalized capacitive-CMOS arrays as a route toward reducing the fabrication complexity of UV imagers, which can lead to their more widespread implementation in consumer and low-volume application-specific products.
Although some of the human senses can nowadays be replaced by low-cost electronic sensors such as microphones and image sensors, a compact low-cost electronic nose (E-nose) remains elusive. In this work, an E-nose is presented that can capacitively detect volatile organic compounds (VOCs). The E-nose consists of an array of 1024 capacitive microelectrodes on a complementary metal-oxide-semiconductor (CMOS) chip, functionalized by inkjet printing. The pixels are coated with a UV-curable ink and metal–organic frameworks (MOFs: ZIF-8, MIL-101(Cr), MIL-140A) to create chemically diverse microdomains that generate gas-specific response patterns through adsorption-driven dielectric loading. ZIF-8 exhibits the highest response to 2-butanone, whereas the UV-curable layer responds most strongly to toluene; both show low cross-sensitivity to water vapor, enabling operation under humid conditions. After calibration in pure gases, reproducible responses to controlled binary mixtures of toluene and 2-butanone are observed. The device operates at low power, combines a large 1024-pixel array with CMOS integration, and offers application-specific functionalization by inkjet printing, providing both low cost and versatility. By further extending the range of functionalization materials, the E-nose can be applied to analyze a wide variety of gases, with potential applications in safety monitoring, health, agriculture, and robotics.
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Although some of the human senses can nowadays be replaced by low-cost electronic sensors such as microphones and image sensors, a compact low-cost electronic nose (E-nose) remains elusive. In this work, an E-nose is presented that can capacitively detect volatile organic compounds (VOCs). The E-nose consists of an array of 1024 capacitive microelectrodes on a complementary metal-oxide-semiconductor (CMOS) chip, functionalized by inkjet printing. The pixels are coated with a UV-curable ink and metal–organic frameworks (MOFs: ZIF-8, MIL-101(Cr), MIL-140A) to create chemically diverse microdomains that generate gas-specific response patterns through adsorption-driven dielectric loading. ZIF-8 exhibits the highest response to 2-butanone, whereas the UV-curable layer responds most strongly to toluene; both show low cross-sensitivity to water vapor, enabling operation under humid conditions. After calibration in pure gases, reproducible responses to controlled binary mixtures of toluene and 2-butanone are observed. The device operates at low power, combines a large 1024-pixel array with CMOS integration, and offers application-specific functionalization by inkjet printing, providing both low cost and versatility. By further extending the range of functionalization materials, the E-nose can be applied to analyze a wide variety of gases, with potential applications in safety monitoring, health, agriculture, and robotics.
In this paper, we present an equivalent circuit model that integrates a living myocardial slice (LMS) cultured on a microelectrode array (MEA) to effectively simulates a heart-on-a-chip (HoC) within Electronic Design Automation (EDA) software. The cardiac fiber model consists of cardiomyocytes interconnected by gap junctions to simulate the action potential (AP) conduction in the longitudinal direction. We systematically explored several parameters, including gap junction resistors, seal resistors, and electrode diameters, to assess their effects on local field potential (LFP). The model accuracy was validated through in vitro experiments using mouse LMS, confirming its potential for guiding HoC design in cardiac research.
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In this paper, we present an equivalent circuit model that integrates a living myocardial slice (LMS) cultured on a microelectrode array (MEA) to effectively simulates a heart-on-a-chip (HoC) within Electronic Design Automation (EDA) software. The cardiac fiber model consists of cardiomyocytes interconnected by gap junctions to simulate the action potential (AP) conduction in the longitudinal direction. We systematically explored several parameters, including gap junction resistors, seal resistors, and electrode diameters, to assess their effects on local field potential (LFP). The model accuracy was validated through in vitro experiments using mouse LMS, confirming its potential for guiding HoC design in cardiac research.
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