Organic nanostructure sensing layer developed by AAO template for the application in humidity sensors

Andika, Rachmat; Aziz, Fakhra; Ahmad, Zubair; Doris, Muhamad; Fauzia, Vivi; Bawazeer, Tahani M.; Alsenany, Nourah; Alsoufi, Mohammad S.; Supangat, Azzuliani

doi:10.1007/s10854-018-0511-1

Cited by 14 publications

(20 citation statements)

References 36 publications

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“…e sensor shows better performance through improved sensing parameters, highlighting the unique advantages of low-molecular nanostructured sensing layers for humidity sensors [6]. Choi et al proposed a pixel aperture technology in complementary metal oxide semiconductor (CMOS) image sensors for 3D imaging.…”

Section: Related Workmentioning

confidence: 99%

Organic Photoelectric Materials and Organic Photoelectric Devices Based on Smart Image Sensors

Huang

2022

Advances in Materials Science and Engineering

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With the development of the times in recent years, people’s requirements for vision are no longer limited to the original foundation. As the core of research in this field, organic electroluminescence has paid great attention to the research points in the application of organic optoelectronic materials and devices in the world. From the relevant scientific research results in recent years, for example, organic light-emitting diodes can be used in flat-panel displays and solid-state lighting, organic photovoltaic cells can be used as a clean and renewable energy source to effectively alleviate the current energy needs of society, and organic storage, sensors, and so on show great promise for application. It can be seen that the research of organic optoelectronic materials and their devices will be the core hot spot of future new energy research. In the past, traditional organic optoelectronic materials are updated through the regulation strategy of covalent modification of the molecular structure. In recent years, new effective methods have been obtained to regulate the properties of excited states through physical stimulation (such as mechanical force, temperature, electric field, and magnetic field). The type of research experiment in this paper is based on the current hot smart image sensor, with the addition of organic complexes of mononuclear metal platinum and iridium metal and the organic optoelectronic device in the form of host and guest doping. The experimental results show that using PVK without energy transfer, polyvinyl carbazole (PVK) had been widely used as blue luminescent material and hole transport layer in electroluminescent device research. Simple mononuclear platinum and iridium metal complexes cannot obtain white light. For OPV devices, by selecting the correct solvent to control the bulk heterojunction, it exhibits better photovoltaic performance. Solvents play an important role in phase separation. In organic solar cells (OPV) consisting of an electron donor (D) and an acceptor (A), optimizing the D-A interface produces efficient charge separation, effectively separating excitons at the D-A interface and forming continuous electron and hole transport channels, and effective charge transport between electrodes plays a positive role.

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Section: Related Workmentioning

confidence: 99%

Organic Photoelectric Materials and Organic Photoelectric Devices Based on Smart Image Sensors

Huang

2022

Advances in Materials Science and Engineering

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“… 11 Andika et al studied a new nanoporous structure of aluminum 1,8,15,22-tetrakis 29H,31H phthalocyanine chloride (AlPcCl) humidity-sensitive film produced using the anodic aluminum oxide (AAO) template and found that it had a sensitivity of 72 fF/% RH. 12 A novel type of humidity-sensitive material based on 5,10,15,20-tetraphenylporphyrinatonickel (II) (TPPNi) macromolecules was recently reported by our group. Both the resistance and capacitance of the TPPNi macromolecule-based humidity sensor exhibited reasonably good sensitivity (146.17 pF/% RH at 500 Hz and 48.23 kΩ/% RH at 1 kHz) in response to variation in % RH, between 39 and 85%.…”

Section: Introductionmentioning

confidence: 99%

Integrated Capacitive- and Resistive-Type Bimodal Relative Humidity Sensor Based on 5,10,15,20-Tetraphenylporphyrinatonickel(II) (TPPNi) and Zinc Oxide (ZnO) Nanocomposite

et al. 2022

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The development of high-performance humidity sensors to cater for a plethora of applications, ranging from agriculture to intelligent medical monitoring systems, calls for the selection of a reliable and ultrasensitive sensing material. A simplistic device architecture, robust quantification of ambient relative humidity (% RH), and compatibility with the contemporary integrated circuit technology make a bimodal (capacitive and resistive) surface-type sensor to be a prominent choice for device fabrication. Herein, we have proposed and demonstrated a facile realization of a 5,10,15,20-tetraphenylporphyrinatonickel (II)–zinc oxide (TPPNi-ZnO) nanocomposite-based bimodal surface-type % RH sensor. The TPPNi macromolecule and ZnO nanoparticles have been synthesized by an eco-benign microwave-assisted technique and a thermal-budget chemical precipitation method, respectively. It is speculated from the morpohological study that specific surface area improvement, via the provision of ZnO nanoparticles on micro-pyramidal structures of TPPNi, may reinforce the sensing properties of the fabricated humidity sensor. The relative humidity sensing capacitive and resistive characteristics of the sensor have been monitored in 40–85% relative humidity (% RH) bandwidth. The fabricated sensor under the biasing conditions of 1 V of applied bias ( V rms ) and 500 Hz AC test frequency exhibits a significantly higher sensitivity of 387.03 pF/% RH and 95.79 kΩ/% RH in bimodal operation. The average values of both the response and recovery times of the capacitive sensor have been estimated to be ∼30 s. It has also been debated why this high degree of sensitivity and considerable reduction in response/recovery time has been obtained. In addition, the intense and wide bandwidth spectral response of the TPPNi-ZnO nanocomposite indicates that it may also be utilized as a potential light-harvesting heterostructured nanohybrid in future studies.

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“…Hardly any sensor except humidity, touches human life so much to meet its increasing demand in day to day life. Highly accurate and reliable moisture detection, in different environments, has become more and more important for environmental protection, technological processes, scientific R&D work, natural gas processing, healthcare, pharmaceutical industries, semiconductors, and food processing industries. − Trace level detection is notoriously challenging due to the adsorption affinity of water on metal and other surfaces, along with potential interference from different gas moieties in the measurement process.…”

Section: Introductionmentioning

confidence: 99%

“…So far, a considerable amount of work has been done on alumina sensors with regard to their performance and sensing mechanism, − , formation conditions, − and structure of the electrodes . Studies on RH sensors have mostly dominated the R&D work so far. ,,,− The only available low-cost trace moisture sensor, reported in recent times, has been fabricated by a sol–gel route. , In sol–gel technology, there is no control over the morphology of the porous film except for sintering temperature, which is unlikely to offer a clone even for repeated trials. A possible reason is directly due to the pores being created by the evaporation of binder, plasticizer, and other organic volatile liquid(s) at high temperature, leading to a size distribution of pores from micro- to nanometers.…”

Section: Introductionmentioning

confidence: 99%

New Concept in Humidity Sensing: Role of Molecular Brownian Energy and Probabilistic Mean Free Path to differentiate RH- and Trace Level Detection

Sharma

Alam

Islam

2020

ACS Appl. Mater. Interfaces

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A break in the traditional pore morphology approach in anodic alumina is presented here to see its niche merit over the conventional sensors for water vapor detection. The cylindrical pore structure was replaced with a normal cone for trace-level and inverse cone for RH-level detection. The normal conical pore was fabricated by sheer manipulation of the reaction rates of electrolytes, anodic polarization, rate and time; the procedure was reversed in the case of the inverse cone structure. A sensor with a normal cone geometry exhibits excellent response at the ppm level and slightly extended to low RH level with a detection range of 120 ppm–30% RH, having response and recovery times of 6 and 255 s, measured at 120 ppm. Lowering of the minimum detection limit further requires alteration of the conical geometric parameters, in tandem with the molecular dynamics of water vapor molecules within the pore. In contrast, a sensor developed from an inverse conical structure shows response only at the RH level, from 20% RH to 90% RH with response and recovery times of less than 60 s over the entire range. Limitations such as nonlinear response, large response-recovery time, and high hysteresis as observed in conventional anodic alumina-based humidity sensors have been removed. The sensor response in conical and inverse conical pore morphologies is compared with that of standard sensors having a cylindrical pore morphology, with a top pore diameter identical with that of the reported sensors. The standard sensors were found to detect in the RH range only, with response and recovery times below 20s. The sensing mechanisms in both structures have been suitably demonstrated and ratified with experimental data. Trace level detection is interpreted with the statistical probabilistic approach in the light of the kinetic theory of gases and Brownian energy. A correlation between top surface pore diameter (through which water molecules enter) and the optimized mean free path of vapor molecule is established, and its effectiveness has been demonstrated for humidity detection at a trace level. The results are encouraging, and the same concept may be tried for the detection of other gaseous stimuli, including organic vapors.

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Organic nanostructure sensing layer developed by AAO template for the application in humidity sensors

Cited by 14 publications

References 36 publications

Organic Photoelectric Materials and Organic Photoelectric Devices Based on Smart Image Sensors

Organic Photoelectric Materials and Organic Photoelectric Devices Based on Smart Image Sensors

Integrated Capacitive- and Resistive-Type Bimodal Relative Humidity Sensor Based on 5,10,15,20-Tetraphenylporphyrinatonickel(II) (TPPNi) and Zinc Oxide (ZnO) Nanocomposite

New Concept in Humidity Sensing: Role of Molecular Brownian Energy and Probabilistic Mean Free Path to differentiate RH- and Trace Level Detection

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