Selective Detection Of Acetone Research Articles

Self-assembled organic monolayer functionalized MIL-88B for selective acetone detection at room temperature

Acetone detection is crucial for diagnosing diseases such as diabetes and lung cancer. Therefore, it is essential to design a room-temperature acetone gas sensor with fast response and recovery times, high sensitivity, high selectivity, and a low detection limit. However, current acetone gas sensors face challenges in achieving high-selectivity detection at room temperature. This study primarily utilizes self-assembled organic monolayer functionalized MIL-88B to prepare selectivity acetone sensors. The results show that the detection sensitivity of the improved sensor to acetone is significantly improved. Compared with the MIL-88B sensor (0.1 ppm), the response value of the MIL-88B@3-aminopropyltrimethoxysilane (APTMS) sensor is increased by about 61.9%. The response to 10 ppm acetone is 83, and the selectivity is greatly improved at room temperature. This can be attributed to the chemical interactions between acetone molecules and APTMS on the sensor surface, which improves the sensor's specific recognition ability for acetone. Additionally, the sensor exhibits better stability and shorter response and recovery times. Consequently, the APTMS functionalization of MIL-88B presents an effective method for preparing room-temperature acetone sensors, combining high sensitivity and selectivity, and offering potential for non-invasive disease diagnosis.

Temperature-modulated acetone monitoring using Al2O3-coated evanescent wave fiber optic sensors

This paper presents an experimental study of a fiber-optic-based acetone sensor and its temperature effects for use as a breath analyzer to detect acetone in exhaled breath. The study employs fiber optic evanescent wave-based acetone sensing, utilizing sputter coated Aluminium Oxide (Al2O3)-coated probes fabricated via clad modification technique. The optical fibers were coated with Al2O3 to achieve thicknesses of 247.03 nm, 334.05 nm, and 468.75 nm. The sensor probes were characterized using, Field Emission Scanning Electron Microscopy (FESEM), Energy Dispersive Spectroscopy (EDS), X-ray Diffraction (XRD), Ultraviolet-Visible (UV-Vis) Spectroscopy, and Spectroscopic Ellipsometry for uniformity, elemental, optical constants, and thickness of the Al2O3. The spectral responses of the probes were analyzed for acetone concentrations ranging from 0 to 100 ppm, with temperature modulation from room temperature to 100 °C. The probe with a ∼334 nm thick Al2O3 coating exhibited the highest response, reaching 6.2 % at 100 °C in 100 ppm acetone. Linear regression revealed that the ∼334 nm coated probe had the highest sensitivity at 5.98 counts/ppm. The sensor showed response and recovery times of approximately 12 and 17 seconds, respectively. This study underscores the stability and repeatability of temperature-modulated Al2O3-coated fiber optic sensors for selective acetone detection in various non-invasive applications.

Room Temperature Based SnO2/MoS2 Chemiresistive Sensor for Highly Selective Detection of Acetone for Disease Management through Simulated Gas Mixture Analysis

Room Temperature Based SnO₂/MoS₂ Chemiresistive Sensor for Highly Selective Detection of Acetone for Disease Management through Simulated Gas Mixture Analysis

Influence of dipole moment on the VOC sensing properties of BiFeO3 microspheres: Addressing the selectivity towards acetone

The selectivity of a chemi-resistive sensor towards a particular gas/vapor depends on various factors and needs to be explained more precisely. Herein, the selective detection of acetone by hydrothermally prepared BiFeO3 microspheres has been explained correlating the dipole moment of tested volatile organic compounds (VOCs) with the sensing properties followed by the dipole-dipole interaction between sensing material and target VOCs. Acetone with the highest dipole moment (2.91 D) compared to other interfering vapors shows the highest response of 10±1 for 50 ppm operating at 400 °C governed by the strongest dipole-dipole interaction. Moreover, a moderate degree of repeatability shown in 7 cycles, long-term stability tested for 90 days along with the microstructural and compositional stability tested before and after the sensing tests, and consistency in sensing performance even in humid atmospheres point toward the potential of the prepared material as a reliable acetone sensor along with proper validation of its selectivity issue.

Oxygen Vacancy-Rich Bimetallic Au@Pt Core-Shell Nanosphere-Functionalized Electrospun ZnFe2O4 Nanofibers for Chemiresistive Breath Acetone Detection.

Sensitive and selective acetone detection is of great significance in the fields of environmental protection, industrial production, and individual health monitoring from exhaled breath. To achieve this goal, bimetallic Au@Pt core-shell nanospheres (BNSs) functionalized-electrospun ZnFe2O4 nanofibers (ZFO NFs) are prepared in this work. Compared to pure NFs-650 analogue, the ZFO NFs/BNSs-2 sensor exhibits a stronger mean response (3.32 vs 1.84), quicker response/recovery speeds (33 s/28 s vs 54 s/42 s), and lower operating temperature (188 vs 273 °C) toward 0.5 ppm acetone. Note that an experimental detection limit of 30 ppb is achieved, which ranks among the best cases reported thus far. Besides the demonstrated excellent repeatability, humidity-enhanced response, and long-term stability, the selectivity toward acetone is remarkably improved after BNSs functionalization. Through material characterizations and DFT calculations, all these improvements could be attributed to the boosted oxygen vacancies and abundant Schottky junctions between ZFO NFs and BNSs, and the synergistic catalytic effect of BNSs. This work offers an alternative strategy to realize selective subppm acetone under high-humidity conditions catering for the future requirements of noninvasive breath diabetes diagnosis in the field of individual healthcare.

RGO/SiNW hybrid nanostructure developed on Si chip for enhanced and selective detection of acetone

RGO/SiNW hybrid nanostructure developed on Si chip for enhanced and selective detection of acetone

Microflowers Composed of VO2 Nanoflakes for Selective Detection of Acetone and Ammonia

Microflowers Composed of VO₂ Nanoflakes for Selective Detection of Acetone and Ammonia

Self-assembled superstructures derived from suitably substituted phenanthro[9,10-d] imidazole-based Zn(ii)/Cd(ii) complexes for selective detection of acetone

Newly synthesized (L1)2M, (L2)2M, and (L3)2M (M = Zn(ii)/Cd(ii)) self-assembled into well-ordered superstructures and exhibited promising potential for developing a new class of sensor devices for human health monitoring and environmental safety measurements.

Black phosphorus nanosheets-sensitized Zn-doped α-Fe2O3 nanoclusters for trace acetone detection

Acetone vapor not only poses a significant threat to the ecological environment and human health but serves as a specific volatile organic compounds (VOCs) biomarker within the exhaled breath to distinguish individual diabetes, thereby urgently necessitating a sensitive and selective acetone detection. To this end, conductometric gas sensors featuring black phosphorus nanosheets (BP)-decorated Zn-doped hematite (α-Fe2O3) nanoclusters as the sensitive material were prepared. By subtly modulating the componential ratio and operation temperature, the optimal Zn-doped α-Fe2O3/BP sensor delivered a prominent response of 5.32 and short response/recovery times of 8/68 s toward 0.5 ppm acetone at 160 °C as well as a large sensitivity of 5.3/ppm over the concentration range of 0.1–1.5 ppm. Moreover, favorable selectivity, repeatability, and long-term stability were demonstrated. The superior sensing performance after incorporating a tiny but moderate amount of BP over Zn-doped α-Fe2O3 sensors could be attributed to the consequent enlarged specific surface area, increased oxygen vacancies, and numerous p-n heterojunctions. Furthermore, additional polylactic acid (PLA) encapsulation membrane endowed the as-prepared sensors with a remarkably improved humidity tolerance, showcasing a huge application potential in non-invasive diabetes diagnosis from exhaled breath featuring high-humidity conditions in the future.

ZIF-8/MWCNT-nanocomposite based-resistive sensor for highly selective detection of acetone in parts-per-billion: Potential noninvasive diagnosis of diabetes

Zeolitic imidazolate framework-8 (ZIF-8) is a promising metal-organic framework for gas sensing applications in humid conditions due to its inherent hydrophobicity. However, its low sorption capacity for alcohols and acetone at room temperature and atmospheric pressure limits its applications. To overcome this, a novel composite of ZIF-8 and bare multiwall-carbon-nanotubes (MWCNTs) was developed, significantly enhancing its sorption capacity for alcohols and acetone. A ZIF-8/MWCNT-coated quartz crystal microbalance (QCM) sensor successfully detected these volatile organic compounds (VOCs) at 0.62 parts-per-million (ppm) under ambient conditions, a marked improvement over ZIF-8 alone. However, selectivity towards acetone, a crucial biomarker for diabetes, is lacking when other VOCs are present. This study investigates the effect of different sensing platforms with varying response mechanisms on achieving high selectivity for acetone using a ZIF-8/MWCNT-coated QCM and a chemiresistive sensor. The chemiresistive-sensor demonstrated excellent acetone detection performance, with high selectivity, low humidity response, good repeatability, complete reversibility, and rapid response. Remarkably, it achieved a limit of detection of 1.7 parts-per-billion (ppb) at ambient conditions, three orders of magnitude lower than the concentration in the exhaled breath of diabetic patients (1.8 ppm). This breakthrough highlights the high potential of the sensor for diabetes diagnosis and monitoring through breath analysis.

Tailoring the surface chemistry of ZnO nanowires via mixed self-assembly of organosilanes for selective acetone detection

We are proposing a novel active sensing surface based on mixed-SAMs (APTES and TEOS) functionalized ZnO nanowires (NWs) for selective detection of acetone. We showed that mixed-SAMs are a superior strategy for sensing performance enhancement not only from bare ZnO NWs but also from homogenous SAM provided suitable mixing ratios were selected. The mixed-SAMs functionalized NWs exhibit high selectivity toward acetone with a response value of 256 ± 36 (50 ppm) due to the molecular interaction between the acetone C═O group and terminal—CH3 and —NH2 groups of SAMs. Indeed, for the very first time, the effect of the mixing ratio on the sensing performance was systematically discussed in this work which is one of the most important aspects of the mixed-SAM approach. In particular, two main factors i.e., the variation in the charge distribution of mixed-monolayer and the modification in the molecular interactions between terminal SAMs groups acetone carbonyl group caused by mixing ratio plays the key role. Functionalized sensors exhibit high stability for the period of 2-months with lowest detection limit of 0.05 ppm, makes them a potential candidate for acetone exhaled breath analysis.

La and Fe co-doped walnut-like cubic-rhombohedral-In2O3 for highly sensitive and selective detection of acetone vapor

Cubic-rhombohedral-In2−2xLaxFexO3 (x = 0, 0.03, and 0.05) composites were prepared by a hydrothermal method. XRD and SEM reveal that pristine cubic-rhombohedral-In2O3 composite mainly consisted of In2O3 nanoparticles in the cubic phase, while introducing appropriate amount of La and Fe ions (x = 0.03 and 0.05) promoted the growth of rhombohedral-In2O3 nanosheets, which constituted the backbones of fuzzy walnut-like hierarchical structure. BET and XPS show that the La and Fe co-doped cubic-rhombohedral-In2O3 composites are higher in the BET surface area and the relative contents of surface In+ ions and OV. From the reception and conduction mechanisms, the highly sensitive and selective detection of acetone by In1.90La0.05Fe0.05O3 is attributed to the fuzzy walnut-like hierarchical structure with enhanced surface reactivity and efficient heterojunction between cubic-In2O3 and rhombohedral-In2O3.

Highly selective acetone detection displayed by a surface engineered fiber-like ZnFe2O4 based-sensor following heat-treatment ramping rate variation

• Combustion method derived surface engineered fibrous ZnFe 2 O 4 . • Mesoporous fibrous structured ZnFe 2 O 4 products as a platform for Acetone detection at low detection levels. • Highly Acetone responsive and selective sensing layer based on mesoporous fibrous structured ZnFe 2 O 4 . • Improved sensing capabilities owing to optimization of heat-treatment ramping rate. Herein, mesoporous fibrous structured ZnFe 2 O 4 products were used as a platform to explore the relationship between the sensing performance and microstructural behavior induced by the optimization of the heat-treatment ramping rate. The optimized mesoporous fibrous ZnFe 2 O 4 sensor produced by combustion method at a heat-treatment ramping rate of 10°C/min revealed a remarkable selectivity and response of 192 towards 90ppm acetone at a lower working temperature of 120°C. Such excellent sensing capabilities could be due to the large surface area which exposes the surface reaction sites and offer sufficient gas-diffusion across the mesoporous fiber-like assembled sensing-layer based on ZnFe 2 O 4 .

Tailor-made mesoporous SiO2/Au thin film with a substitutable interface for highly sensitive and selective room-temperature gas detection of VOCs

Trace amounts of volatile organic compounds (VOCs) were detected in Au chip interfaces modified with mesoporous SiO2 nanomaterials by using a surface plasmon resonance (SPR) technique. With Kretchmann-configuration SPR, it was possible to detect interactive and specific signal changes between a SiO2/Au gas-sensor surface and acetone, formaldehyde, and methane gases at room temperature. A dielectric spacing layer on Au was expanded and SPR signals were amplified by the mesoporous SiO2 nanoparticles with a large surface area and surface properties that were easily modified with specific ligands and became highly sensitive to, and selective for, the target gas molecules. A phosphonitrilic chloride trimer (PNCT), a universal self-assembled monolayer (SAM), and post-treatment for simple substitutions of ligands equipped the surfaces of SiO2 nanoparticles with targeted receptors, which resulted in the sensitive and selective detection of acetone to CH3-, formaldehyde to NH2-, and methane to Cl-functional groups. The chips modified with each functional group had a response time of about 2 s for concentrations of each gas that ranged from 0.2 to 3.0 ppm. The sensors modified with the functional groups showed limit of detection (LOD) values of 0.3, 0.6, and 0.5 ppm, respectively, which exceeded the Occupational Safety and Health Administration (OSHA) regulations, and limit of quantification (LOQ) values of 0.9, 1.8, and 1.6 ppm. Relative humidity of 45 ∼ 84 % under ambient air had negligible influence on the baseline signals in this SPR gas-sensing system. These sensors have the potential to monitor VOCs in both environmental and indoor settings.

ANN based approach for selective detection of breath acetone by using hybrid GO-FET sensor array

This research used hybrid graphene oxide (GO) field effect transistors (FETs) based sensor array to design an electronic nose (e-nose) for identifying exhaled breath acetone to diagnose diabetes mellitus through noninvasive route. Six back gated FET sensors were fabricated with hybrid channel of GO, WO3 and noble metals (Au, Pd and Pt) nanoparticles. The experiment was carried out by using four distinct forms of synthetic breath, each with a different level of interference. Linear discriminant analysis (LDA) and artificial neural networks (ANN) were utilized to classify and analyze the sensor response vector. In contrast, partial least square (PLS) and multiple linear regression (MLR) were used to evaluate the exact acetone concentration in synthetic breath. First, LDA was used to lower the dimensionality of the response vector, which was then provided as an input to the ANN model. ANN was performed with ten perceptrons model in the hidden layer and highest accuracy of 99.1% was achieved. Additionally, by using the loading plot of PLS, three sensors (Pt/WO3/GO, Pd/WO3/GO, and WO3/GO) had the ample use to predict the concentration of breath acetone. Moreover, the MLR approach with correlation coefficient (R2) of 0.9572 and root mean square error (RMSE) of 5.63% were used for obtaining the exact concentration of acetone. Consequently, e-nose with matrix of hybrid GO-FET sensors and pattern recognition algorithms (LDA, ANN, PLS and MLR) exhibited considerable ability in selective detection of acetone in synthetic breath.

Ion-dipole interaction for selective detection of acetone by perovskite BiFeO3 chemi-resistive sensor

Present study highlights the ion-dipole interaction mechanism in VOC sensing phenomena of sol-gel synthesized BiFeO3 chemi-resistive sensor using a set of polar (03) and non/less-polar (03) VOCs. The prototype can selectively detect acetone vapor with a maximum response (R) value of 100 ± 8 at an operating temperature of 350 °C. The sensor shows higher response (REthanol: 62, RMethanol: 60) towards polar VOCs and low response value (RToluene: 12, RHexane: 8, RXylene: 4) for non/less polar VOCs. The variation of sensor response (R) with the dipole moment (μ) of the VOCs shows excellent linearity. The response time decreases exponentially with increase in dipole moment of VOCs. Acetone with highest dipole moment (μ = 2.91 D) shows lowest response time (τres ∼ 20 s). The selective nature of the sensor is correlated with the dipole moment of the target VOCs. Quantitative measure on ion-dipole interactions of polar and non/less-polar VOCs with BiFeO3 chemi-resistive sensor was evaluated and plays the key role to explain the sensing mechanism. Acetone exhibits highest interaction energy (Ei– d = −1.01 × 10−19 J) among other target vapors, revealing its selective detection by BiFeO3 chemi-resistive sensor.

MOF-on-MOF nanoarchitecturing of Fe2O3@ZnFe2O4 radial-heterospindles towards multifaceted superiorities for acetone detection

Rational integration of multifunctions is an emerging strategy to develop novel chemiresistor nano platforms with superior sensing properties. Herein, a stepwise synthesis strategy is developed to assemble two MOFs with huge mismatch into MOF-on-MOF heterojunction, which was nanoarchitectured into Fe2O3@ZnFe2O4 radial-heterospindles. The Fe2O3@ZnFe2O4 heterospindles exhibited outstanding selective acetone detection with multifaceted superiorities, such as high response, low limit of detection, fast response and recovery time, and good linearity in responses with a wide concentration window. An in-depth discussion revealed that such multifaceted sensing characters can be attributed to the distinct radial-heterostructure which proffer synergetic effects in the unimpeded gas diffusion with mesoporous sensing nanoarchitecture, favored interfacial charge transport in radial heterojunction, abundant active adsorption/reaction sites by rich oxygen vacancies, and exponential/efficient tuning of sensor resistance with barrier height. This synthetic strategy here may offer a new opportunity for fabricating dual-to-multi MOFs-based advanced nanostructures towards practical chemiresistor nanoplatforms with favorable multifaceted superiorities.

Methyl (–CH3)-terminated ZnO nanowires for selective acetone detection: a novel approach toward sensing performance enhancement via self-assembled monolayer

A novel methyl (–CH3)-terminated ZnO nanowire based selective acetone sensor has been developed. The molecular interactions between the terminal –CH3 group and the carbonyl group of acetone were found to be the main reason behind performance enhancement.

Highly selective detection of acetone by TiO2-SnO2 heterostructures for environmental biomarkers of diabetes

The n-n TiO2-SnO2 heterostructures composed of SnO2 nanoparticles (NPs) topped with TiO2 NPs have been produced by a novel hybrid reactive magnetron sputtering and pulse laser deposition for sensing acetone (C3H6O) vapors in the environment. The gas sensing characteristics of the TiO2-SnO2 heterostructures were measured over a range of operating temperatures (200–500°C) and the optimal working temperature of 300 °C was fixed. Further, the adsorption of acetone gas on both (110) and (101) stoichiometric and reduced surfaces of TiO2-SnO2 are studied by density functional theory (DFT) calculations. The proposed TiO2-SnO2 sensor displayed an ultrasensitive response for detecting acetone vapors which is almost 12 times and a limit of detection of 0.02 ppm. DFT calculations showed that the adsorption of acetone gas on (110) and (101) facets is thermodynamically favorable. Moreover, TiO2-SnO2 heterostructures sensor displayed high gas response, selectivity, repeatability, and long-term stability. The developed sensor also demonstrated excellent resistance against humidity due to a good synergy between the component oxides, band bending, availability of chemisorbed oxygen, and adsorption-desorption mechanism at the TiO2-SnO2 heterojunction. This work provides a foundation for the development of advanced gas sensors for hazardous sensing of materials exposed to diabetic patients in the human environment.

Electrospun Eu2O3/Au/SnO2 ternary nanofibers with synergistically enhanced acetone sensing properties

In this work, Eu2O3/Au/SnO2 ternary nanofibers were prepared via a synergetic approach including electrospinning and calcination. The sensor based on Eu2O3/Au/SnO2 nanofibers exhibited a remarkable response (~65) to 100 ppm acetone at a relatively low operating temperature (200 °C), furthermore, the fast response-recovery kinetics and selective acetone detection had been observed simultaneously. The enhancement of acetone sensing properties can be attributed to the construction of Eu2O3/SnO2 heterostructures and the chemical sensitization of Au nanocatalysts, suggesting a pathway to develop high-efficient acetone sensors for health security.