Kaiping Yuan
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Kaiping Yuan has a total of 45 co-authors. Here are the top co-authors by number of shared publications:
- Yonghui Deng
School of Environment and Architecture University of Shanghai for Science and Technology Shanghai China
3 shared publications Jichun Li
2 shared publications- Tieliang Lv
State Key Laboratory of Integrated Chips and Systems, College of Integrated Circuits and Micro-Nano Electronics, Fudan University, Shanghai 200433, China
2 shared publications Yanyan Li
Department of Chemistry, Department of Gastroenterology, Zhongshan Hospital of Fudan University, State Key Laboratory of Molecular Engineering of Polymers, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Fudan University, Shanghai 200433, P. R. China
2 shared publicationsYuan Ren
Department of Chemistry, Department of Gastroenterology, Zhongshan Hospital of Fudan University, State Key Laboratory of Molecular Engineering of Polymers, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Fudan University, Shanghai 200433, P. R. China
2 shared publicationsZengcai Zhao
State Key Laboratory of Integrated Chips and Systems, College of Integrated Circuits and Micro-Nano Electronics, Frontier Institute of Chip and System, Fudan University, Shanghai, China
2 shared publications
Latest Publications
- Open Access
Simplified Calibration and Laser Nonlinearity Error Analysis for Peak-Locking TDLAS Systems
Tunable diode laser absorption spectroscopy (TDLAS) has been widely applied in industrial gas detection, but traditional calibration methods face challenges including high standard gas consumption, exorbitant costs, and heavy calibration workloads—particularly under wide temperature and pressure ranges, where variations in laser parameters can introduce significant errors. This study proposes a simplified calibration method for peak-locking TDLAS systems based on wavelength modulation spectroscopy (WMS). First, a coupling relationship model between the modulation index (m) and amplitude modulation (AM) is established, and an iterative calibration method is developed to synchronously adjust the laser operating current and temperature, enabling both m = 2.2 and AM = 0.1 to converge to their target values simultaneously, thereby eliminating the need for per-device temperature–pressure–concentration ternary calibration. Subsequently, the effects of quadratic nonlinearity in the laser power–current (P-I) and wavenumber–current (v-I) curves on detection accuracy are systematically analyzed for both 2f/1f and 4f/1f WMS representation methods. The simulation results obtained within a temperature range of 300 K ± 100 K and a pressure range of 1 atm ± 0.2 atm show that, for 2f/1f-WMS, a v-I nonlinearity rate of ±5% yields a maximum detection error of no more than 0.11% (with the error peak occurring in the 40–65% concentration range and no zero offset), while a P-I nonlinearity rate of ±5% results in a maximum error of no more than 0.82%, nearly independent of concentration. By comparison, the 4f/1f-WMS scheme effectively suppresses the zero offset induced by P-I nonlinearity, achieves lower detection errors, and requires only span calibration for each device. The proposed method significantly reduces the calibration workload and cost of TDLAS systems while ensuring detection accuracy.
Open AccessSimplified Calibration and Laser Nonlinearity Error Analysis for Peak-Locking TDLAS Systems
Tunable diode laser absorption spectroscopy (TDLAS) has been widely applied in industrial gas detection, but traditional calibration methods face challenges including high standard gas consumption, exorbitant costs, and heavy calibration workloads—particularly under wide temperature and pressure ranges, where variations in laser parameters can introduce significant errors. This study proposes a simplified calibration method for peak-locking TDLAS systems based on wavelength modulation spectroscopy (WMS). First, a coupling relationship model between the modulation index (m) and amplitude modulation (AM) is established, and an iterative calibration method is developed to synchronously adjust the laser operating current and temperature, enabling both m = 2.2 and AM = 0.1 to converge to their target values simultaneously, thereby eliminating the need for per-device temperature–pressure–concentration ternary calibration. Subsequently, the effects of quadratic nonlinearity in the laser power–current (P-I) and wavenumber–current (v-I) curves on detection accuracy are systematically analyzed for both 2f/1f and 4f/1f WMS representation methods. The simulation results obtained within a temperature range of 300 K ± 100 K and a pressure range of 1 atm ± 0.2 atm show that, for 2f/1f-WMS, a v-I nonlinearity rate of ±5% yields a maximum detection error of no more than 0.11% (with the error peak occurring in the 40–65% concentration range and no zero offset), while a P-I nonlinearity rate of ±5% results in a maximum error of no more than 0.82%, nearly independent of concentration. By comparison, the 4f/1f-WMS scheme effectively suppresses the zero offset induced by P-I nonlinearity, achieves lower detection errors, and requires only span calibration for each device. The proposed method significantly reduces the calibration workload and cost of TDLAS systems while ensuring detection accuracy.
- Open Access
- 29 July 2026
- Published by Springer Nature in Advanced Fiber Materials
- Vol. 8 (6) , 2506-2519
Engineering Conducting Polymer Islands Toward High-Performance Solid-State Organic Electrochemical Transistors for Gas Recognition
- 29 July 2026
- Published by Springer Nature in Advanced Fiber Materials
- Vol. 8 (6) , 2506-2519
Open AccessEngineering Conducting Polymer Islands Toward High-Performance Solid-State Organic Electrochemical Transistors for Gas Recognition
- 1 November 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Chinese Journal of Electronics
- Vol. 34 (6) , 1689-1694
Fully Integrated Artificial Olfactory Memristive Neuron for Event-Driven Toxic Gas Alarm
Toxic gas concentration monitoring is essential for avoiding chronic respiratory and cardiovascular diseases. Traditional complementary metal oxide semiconductor (CMOS)-based toxic gas detection and alarm systems, due to the separated sensing and processing modules, face great challenges in both area and power consumption. Here, we present a compact artificial olfactory neuron, fully integrating the ZnO gas sensor for sensing and the NbO2 memristor for processing. The artificial neuron outputs spike signals only when gas concentration exceeds the threshold, endowed with event-driven features. It could encode analog gas concentration information into spike frequency in real time. By varying source voltages, the alarm concentration varies, making it adaptable to different alarm scenes. Experimental results show that the neuron's static and dynamic power consumption could be as low as $243.8\ \mu \mathrm{W}$ and $327.8\ \mu \mathrm{W}$, respectively, with a threshold concentration of 20 ppm. These results highlight the potential of the proposed neuron as a compact and energy-efficient solution for intelligent olfactory systems.- 1 November 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Chinese Journal of Electronics
- Vol. 34 (6) , 1689-1694
Fully Integrated Artificial Olfactory Memristive Neuron for Event-Driven Toxic Gas Alarm
Toxic gas concentration monitoring is essential for avoiding chronic respiratory and cardiovascular diseases. Traditional complementary metal oxide semiconductor (CMOS)-based toxic gas detection and alarm systems, due to the separated sensing and processing modules, face great challenges in both area and power consumption. Here, we present a compact artificial olfactory neuron, fully integrating the ZnO gas sensor for sensing and the NbO2 memristor for processing. The artificial neuron outputs spike signals only when gas concentration exceeds the threshold, endowed with event-driven features. It could encode analog gas concentration information into spike frequency in real time. By varying source voltages, the alarm concentration varies, making it adaptable to different alarm scenes. Experimental results show that the neuron's static and dynamic power consumption could be as low as $243.8\ \mu \mathrm{W}$ and $327.8\ \mu \mathrm{W}$, respectively, with a threshold concentration of 20 ppm. These results highlight the potential of the proposed neuron as a compact and energy-efficient solution for intelligent olfactory systems.- Open Access
On-Site and Sensitive Pipeline Oxygen Detection Equipment Based on TDLAS
The application of oxygen sensors based on Tunable Diode Laser Absorption Spectroscopy (TDLAS) in the industrial field has received extensive attention. However, most of the existing studies construct detection systems using discrete devices, making it difficult to apply them in the industrial field. In this work, through the optimization of the sensor circuit, the size of the core components of the sensor is reduced to 7.8 × 7.8 × 11.8 cm3, integrating the laser, photodetector, and system control circuit. A novel integrated optical path design is proposed for the optical mechanical structure, which enhances the structural integration and long-term optical path stability while reducing the system assembly complexity. The interlocking design of the laser-driven digital-to-analog converter (DAC) and photocurrent acquisition analog-to-digital converter (ADC) reduces the requirements of the harmonic signal extraction for the system hardware. By adopting a high-precision ADC and a high-resolution pulse-width modulation (PWM), the peak-to-peak value of the laser temperature control noise is reduced to 2 m°C, thereby reducing the detection noise of the sensor. This oxygen detection system has a minimum response time of 0.1 s. Under the condition of a 0.5 m detection optical path, the Allan variance shows that when the integration time is 5.6 s, the detection limit reaches 53.4 ppm, which is ahead of the detection accuracy of similar equipment under the very small system size.
Open AccessOn-Site and Sensitive Pipeline Oxygen Detection Equipment Based on TDLAS
The application of oxygen sensors based on Tunable Diode Laser Absorption Spectroscopy (TDLAS) in the industrial field has received extensive attention. However, most of the existing studies construct detection systems using discrete devices, making it difficult to apply them in the industrial field. In this work, through the optimization of the sensor circuit, the size of the core components of the sensor is reduced to 7.8 × 7.8 × 11.8 cm3, integrating the laser, photodetector, and system control circuit. A novel integrated optical path design is proposed for the optical mechanical structure, which enhances the structural integration and long-term optical path stability while reducing the system assembly complexity. The interlocking design of the laser-driven digital-to-analog converter (DAC) and photocurrent acquisition analog-to-digital converter (ADC) reduces the requirements of the harmonic signal extraction for the system hardware. By adopting a high-precision ADC and a high-resolution pulse-width modulation (PWM), the peak-to-peak value of the laser temperature control noise is reduced to 2 m°C, thereby reducing the detection noise of the sensor. This oxygen detection system has a minimum response time of 0.1 s. Under the condition of a 0.5 m detection optical path, the Allan variance shows that when the integration time is 5.6 s, the detection limit reaches 53.4 ppm, which is ahead of the detection accuracy of similar equipment under the very small system size.
- Open Access
- 1 May 2025
- Published by Tsinghua University Press in Nano Research
A simultaneous etching and polymerization strategy toward vertically aligned polypyrrole nanosheets on MXene for ammonia sensing
Flexible room-temperature gas sensors with good adaptability to various surfaces and low energy consumption hold a great promise for different applications such as environmental monitoring and human exhalation detection. However, the development of flexible sensing devices with stable and superior monitoring capability are still restricted by the insufficiently selectivity or sensitivity at low temperatures. In this study, a simultaneous etching and oxidation polymerization strategy is developed toward the synthesis of porous polypyrrole (PPy)/Ti3C2Tx MXene nanocomposites. In the nanocomposites, PPy nanosheets align vertically on the surface of Ti3C2Tx, forming numerous open and porous channels. As a result, the PPy/Ti3C2Tx-based flexible sensor shows highly exposed active sites and superior ammonia sensing performances at room temperature with good selectivity, high sensitivity, fast response rate and a low detection limit of 375 ppb. The sensor can exhibit stable and reliable sensitivity under different bending angles and even after 100 bending cycles. Moreover, the PPy/Ti3C2Tx nanocomposites can be integrated into a portable flexible wireless sensor for remote and real-time ammonia monitoring, exhibiting great potentials in various applications
- 1 May 2025
- Published by Tsinghua University Press in Nano Research
Open AccessA simultaneous etching and polymerization strategy toward vertically aligned polypyrrole nanosheets on MXene for ammonia sensing
Flexible room-temperature gas sensors with good adaptability to various surfaces and low energy consumption hold a great promise for different applications such as environmental monitoring and human exhalation detection. However, the development of flexible sensing devices with stable and superior monitoring capability are still restricted by the insufficiently selectivity or sensitivity at low temperatures. In this study, a simultaneous etching and oxidation polymerization strategy is developed toward the synthesis of porous polypyrrole (PPy)/Ti3C2Tx MXene nanocomposites. In the nanocomposites, PPy nanosheets align vertically on the surface of Ti3C2Tx, forming numerous open and porous channels. As a result, the PPy/Ti3C2Tx-based flexible sensor shows highly exposed active sites and superior ammonia sensing performances at room temperature with good selectivity, high sensitivity, fast response rate and a low detection limit of 375 ppb. The sensor can exhibit stable and reliable sensitivity under different bending angles and even after 100 bending cycles. Moreover, the PPy/Ti3C2Tx nanocomposites can be integrated into a portable flexible wireless sensor for remote and real-time ammonia monitoring, exhibiting great potentials in various applications
- Open Access
- 1 March 2023
- Published by MDPI AG in International Journal of Environmental Research and Public Health
- Vol. 20 (5) , 4388
Metal–Organic Framework (MOF) Derivatives as Promising Chemiresistive Gas Sensing Materials: A Review
The emission of harmful gases has seriously exceeded relative standards with the rapid development of modern industry, which has shown various negative impacts on human health and the natural environment. Recently, metal–organic frameworks (MOFs)-based materials have been widely used as chemiresistive gas sensing materials for the sensitive detection and monitoring of harmful gases such as NOx, H2S, and many volatile organic compounds (VOCs). In particular, the derivatives of MOFs, which are usually semiconducting metal oxides and oxide–carbon composites, hold great potential to prompt the surface reactions with analytes and thus output amplified resistance changing signals of the chemiresistors, due to their high specific surface areas, versatile structural tunability, diversified surface architectures, as well as their superior selectivity. In this review, we introduce the recent progress in applying sophisticated MOFs-derived materials for chemiresistive gas sensors, with specific emphasis placed on the synthesis and structural regulation of the MOF derivatives, and the promoted surface reaction mechanisms between MOF derivatives and gas analytes. Furthermore, the practical application of MOF derivatives for chemiresistive sensing of NO2, H2S, and typical VOCs (e.g., acetone and ethanol) has been discussed in detail.
- 1 March 2023
- Published by MDPI AG in International Journal of Environmental Research and Public Health
- Vol. 20 (5) , 4388
Open AccessMetal–Organic Framework (MOF) Derivatives as Promising Chemiresistive Gas Sensing Materials: A Review
The emission of harmful gases has seriously exceeded relative standards with the rapid development of modern industry, which has shown various negative impacts on human health and the natural environment. Recently, metal–organic frameworks (MOFs)-based materials have been widely used as chemiresistive gas sensing materials for the sensitive detection and monitoring of harmful gases such as NOx, H2S, and many volatile organic compounds (VOCs). In particular, the derivatives of MOFs, which are usually semiconducting metal oxides and oxide–carbon composites, hold great potential to prompt the surface reactions with analytes and thus output amplified resistance changing signals of the chemiresistors, due to their high specific surface areas, versatile structural tunability, diversified surface architectures, as well as their superior selectivity. In this review, we introduce the recent progress in applying sophisticated MOFs-derived materials for chemiresistive gas sensors, with specific emphasis placed on the synthesis and structural regulation of the MOF derivatives, and the promoted surface reaction mechanisms between MOF derivatives and gas analytes. Furthermore, the practical application of MOF derivatives for chemiresistive sensing of NO2, H2S, and typical VOCs (e.g., acetone and ethanol) has been discussed in detail.
- Open Access
- 26 July 2022
- Published by American Chemical Society (ACS) in ACS Central Science
- Vol. 8 (8) , 1196-1208
Dynamic Coassembly of Amphiphilic Block Copolymer and Polyoxometalates in Dual Solvent Systems: An Efficient Approach to Heteroatom-Doped Semiconductor Metal Oxides with Controllable Nanostructures
Dynamic coassembly of block copolymers (BCPs) with Keggin-type polyoxometalates (POMs) is developed to synthesize heteroatom-doped tungsten oxide with controllable nanostructures, including hollow hemispheres, nanoparticles, and nanowires. The versatile coassembly in dual n-hexane/THF solvent solution enables the fomation of poly(ethylene oxide)-b-polystyrene (PEO-b-PS)/POMs (e.g., silicotungstic acid, H4SiW12O40) nanocomposites with different morphologies such as spherical vesicles, inverse spherical micelles, and inverse cylindrical micelles, which can be readily converted into diverse nanostructured metal oxides with high surface area and unique properties via in situ thermal-induced structural evolution. For example, uniform silicon-doped WO3 (Si-WO3) hollow hemispheres derived from coassembly of PEO-b-PS with H4SiW12O40 were utilized to fabricate gas sensing devices which exhibit superior gas sensing performance toward acetone, thanks to the selective gas-solid interface catalytic reaction that induces resistance changes of the devices due to the high specific surface areas, abundant oxygen vacancies, and the Si-doping induced metastable ε-phase of WO3. Furthermore, density functional theory (DFT) calculation reveals the mechanism about the high sensitivity and selectivity of the gas sensors. On the basis of the as-fabricated devices, an integrated gas sensor module was constructed, which is capable of real-time monitoring the environmental acetone concentration and displaying relevant sensing results on a smart phone via Bluetooth communication.
- 26 July 2022
- Published by American Chemical Society (ACS) in ACS Central Science
- Vol. 8 (8) , 1196-1208
Open AccessDynamic Coassembly of Amphiphilic Block Copolymer and Polyoxometalates in Dual Solvent Systems: An Efficient Approach to Heteroatom-Doped Semiconductor Metal Oxides with Controllable Nanostructures
Dynamic coassembly of block copolymers (BCPs) with Keggin-type polyoxometalates (POMs) is developed to synthesize heteroatom-doped tungsten oxide with controllable nanostructures, including hollow hemispheres, nanoparticles, and nanowires. The versatile coassembly in dual n-hexane/THF solvent solution enables the fomation of poly(ethylene oxide)-b-polystyrene (PEO-b-PS)/POMs (e.g., silicotungstic acid, H4SiW12O40) nanocomposites with different morphologies such as spherical vesicles, inverse spherical micelles, and inverse cylindrical micelles, which can be readily converted into diverse nanostructured metal oxides with high surface area and unique properties via in situ thermal-induced structural evolution. For example, uniform silicon-doped WO3 (Si-WO3) hollow hemispheres derived from coassembly of PEO-b-PS with H4SiW12O40 were utilized to fabricate gas sensing devices which exhibit superior gas sensing performance toward acetone, thanks to the selective gas-solid interface catalytic reaction that induces resistance changes of the devices due to the high specific surface areas, abundant oxygen vacancies, and the Si-doping induced metastable ε-phase of WO3. Furthermore, density functional theory (DFT) calculation reveals the mechanism about the high sensitivity and selectivity of the gas sensors. On the basis of the as-fabricated devices, an integrated gas sensor module was constructed, which is capable of real-time monitoring the environmental acetone concentration and displaying relevant sensing results on a smart phone via Bluetooth communication.
- 10 October 2021
- Published by Wiley in Advanced Functional Materials
- Vol. 32 (4) , 2107439
Rationally Designed Dual‐Mesoporous Transition Metal Oxides/Noble Metal Nanocomposites for Fabrication of Gas Sensors in Real‐Time Detection of 3‐Hydroxy‐2‐Butanone Biomarker
Transition metal oxides/noble metal (TMOs/NM) nanocomposites are one kind of important material for semiconductor gas sensors. The controllable construction of a highly connected mesoporous structure and easily accessible active sites is essential for gas sensing performance but remains a great challenge. Herein, a soluble mercapto phenolic resin polymer mediated co‐assembly approach is proposed for the construction of ordered dual mesoporous structure and the simultaneous loading of highly dispersed noble metal nanoparticles. The home‐made soluble mercapto phenolic resin polymer enabled the co‐assembly of transition metal precursors, noble metal precursors, and poly(ethylene oxide)‐block‐polystyrene (PEO‐b‐PS) micelles, resulting in a straightforward synthesis of ordered dual‐mesoporous TMOs/NM nanocomposites (e.g., WO3/Au, TiO2/Au, NbOx/AuPd). As proof of the concept, the synthesized dual‐mesoporous WO3/Au materials are applied for sensing of 3‐hydroxy‐2‐butanone, a biomarker of food‐borne pathogenic bacteria Listeria monocytogenes. The sensors exhibit high sensitivity (Ra/Rg = 18.8 to 2.5 ppm) and high selectivity based on their noble metal sensitization and superior mesopore connectivity for gas diffusion. Furthermore, the synthesized gas sensors are integrated into a wireless sensing module connected to a smartphone, providing a rapid and convenient real‐time detection of 3‐hydroxy‐2‐butanone.
- 10 October 2021
- Published by Wiley in Advanced Functional Materials
- Vol. 32 (4) , 2107439
Rationally Designed Dual‐Mesoporous Transition Metal Oxides/Noble Metal Nanocomposites for Fabrication of Gas Sensors in Real‐Time Detection of 3‐Hydroxy‐2‐Butanone Biomarker
Transition metal oxides/noble metal (TMOs/NM) nanocomposites are one kind of important material for semiconductor gas sensors. The controllable construction of a highly connected mesoporous structure and easily accessible active sites is essential for gas sensing performance but remains a great challenge. Herein, a soluble mercapto phenolic resin polymer mediated co‐assembly approach is proposed for the construction of ordered dual mesoporous structure and the simultaneous loading of highly dispersed noble metal nanoparticles. The home‐made soluble mercapto phenolic resin polymer enabled the co‐assembly of transition metal precursors, noble metal precursors, and poly(ethylene oxide)‐block‐polystyrene (PEO‐b‐PS) micelles, resulting in a straightforward synthesis of ordered dual‐mesoporous TMOs/NM nanocomposites (e.g., WO3/Au, TiO2/Au, NbOx/AuPd). As proof of the concept, the synthesized dual‐mesoporous WO3/Au materials are applied for sensing of 3‐hydroxy‐2‐butanone, a biomarker of food‐borne pathogenic bacteria Listeria monocytogenes. The sensors exhibit high sensitivity (Ra/Rg = 18.8 to 2.5 ppm) and high selectivity based on their noble metal sensitization and superior mesopore connectivity for gas diffusion. Furthermore, the synthesized gas sensors are integrated into a wireless sensing module connected to a smartphone, providing a rapid and convenient real‐time detection of 3‐hydroxy‐2‐butanone.