Nano-Micro Letters, Год журнала: 2025, Номер 17(1)
Опубликована: Янв. 24, 2025
Abstract The integration of dual-mesoporous structures, the construction heterojunctions, and incorporation highly concentrated oxygen vacancies are pivotal for advancing metal oxide-based gas sensors. Nonetheless, achieving an optimal design that simultaneously combines mesoporous precise heterojunction modulation, controlled through a one-step process remains challenging. This study proposes innovative method fabricating zinc stannate semiconductors featuring structures tunable via direct solution precursor plasma spray technique. As proof concept, resulting stannate-based coatings applied to detect 2-undecanone, key biomarker rice aging. Remarkably, oxide/zinc heterojunctions with well-defined secondary pore structure exhibit exceptional gas-sensing performance 2-undecanone at room temperature. Furthermore, practical experiments indicate developed sensor effectively identifies adulteration in various varieties. These results underscore potential this designing oxides tailored properties high-performance enhanced adsorption capacity features semiconductor make it promising candidate sensing applications agricultural food safety inspections.
Язык: Английский
Процитировано
4
Chemical Reviews, Год журнала: 2025, Номер unknown
Опубликована: Апрель 8, 2025
The demand for highly functional chemical gas sensors has surged due to the increasing awareness of human health monitor metabolic disorders or noncommunicable diseases, safety measures against harmful greenhouse and/or explosive gases, and determination food freshness. Over years dedicated research, several types chemiresistive have been realized with appreciable sensitivities toward various gases. However, critical issues such as poor selectivity sluggish response/recovery speeds continue impede their widespread commercialization. Specifically, mechanisms behind selective response some materials specific analytes remain unclear. In this review, we discuss state-of-the-art strategies employed attain gas-selective materials, particular emphasis on design, surface modification functionalization catalysts, defect engineering, material structure control, integration physical/chemical filtration media. nature surface-gas interactions supporting are elucidated, opening opportunities optimizing fine-tuning sensing performance, guiding selection most appropriate accurate detection This review concludes recommendations future research directions potential further improvements.
Язык: Английский
Процитировано
1
Chemical Engineering Journal, Год журнала: 2025, Номер unknown, С. 161552 - 161552
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
1
Trends in Food Science & Technology, Год журнала: 2025, Номер unknown, С. 105022 - 105022
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
1
Nano-Micro Letters, Год журнала: 2025, Номер 17(1)
Опубликована: Май 3, 2025
Abstract Over recent decades, carbon-based chemical sensor technologies have advanced significantly. Nevertheless, significant opportunities persist for enhancing analyte recognition capabilities, particularly in complex environments. Conventional monovariable sensors exhibit inherent limitations, such as susceptibility to interference from coexisting analytes, which results response overlap. Although arrays, through modification of multiple sensing materials, offer a potential solution recognition, their practical applications are constrained by intricate material processes. In this context, multivariable emerged promising alternative, enabling the generation outputs construct comprehensive space while utilizing single material. Among various carbon nanotubes (CNTs) and graphene ideal candidates constructing high-performance sensors, owing well-established batch fabrication processes, superior electrical properties, outstanding capabilities. This review examines progress focusing on CNTs/graphene materials field-effect transistors transducers recognition. The discussion encompasses fundamental aspects these including architectures, performance metrics, pattern algorithms, mechanism. Furthermore, highlights innovative extraction schemes when integrated with algorithms.
Язык: Английский
Процитировано
0
ACS Sensors, Год журнала: 2025, Номер unknown
Опубликована: Май 15, 2025
Mimicking the olfactory system of humans, use electronic noses (E-noses) for detection odors in nature has become a hot research topic. This study presents novel E-nose based on deep learning architecture called Scentformer, which addresses limitations current like narrow range and limited generalizability across different scenarios. Armed with self-adaptive data down-sampling method, is capable detecting 55 natural classification accuracy 99.94%, model embedded analyzed using Shapley Additive exPlanations analysis, providing quantitative interpretation performance. Furthermore, leveraging Scentformer's transfer ability, efficiently adapts to new gases. Rather than retraining all layers odor set, only fully connected need be trained pretrained model. Using 1‰ retrained model, model-based can also achieve accuracies 99.14% various gas concentrations. provides robust approach diverse direct signals real-world applications.
Язык: Английский
Процитировано
0
Sensors, Год журнала: 2025, Номер 25(6), С. 1781 - 1781
Опубликована: Март 13, 2025
This study presents the fabrication and characterization of highly selective, room-temperature gas sensors based on ternary zinc oxide–molybdenum disulfide–titanium dioxide (ZnO-MoS2-TiO2) nanoheterostructures. Integrating two-dimensional (2D) MoS2 with oxide nano materials synergistically combines their unique properties, significantly enhancing sensing performance. Comprehensive structural chemical analyses, including scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX), Raman spectroscopy, Fourier transform infrared (FTIR), confirmed successful synthesis composition The demonstrated excellent selectivity in detecting low concentrations nitrogen (NO2) among target gases such as ammonia (NH3), methane (CH4), carbon (CO2) at room temperature, achieving up to 58% sensitivity 4 ppm 6% 0.1 for NO2. prototypes outstanding a short response time approximately 0.51 min. impact light-assisted enhancement was examined under 1 mW/cm2 weak ultraviolet (UV), blue, yellow, red light-emitting diode (LED) illuminations, blue LED proving deliver highest sensor responsiveness. These results position ZnO-MoS2-TiO2 nanoheterostructures sensitive selective NO2 that are suitable applications environmental monitoring, public health, industrial processes.
Язык: Английский
Процитировано
0
Coordination Chemistry Reviews, Год журнала: 2025, Номер 535, С. 216624 - 216624
Опубликована: Март 20, 2025
Язык: Английский
Процитировано
0
Journal of Pipeline Science and Engineering, Год журнала: 2025, Номер unknown, С. 100283 - 100283
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0
Small, Год журнала: 2025, Номер unknown
Опубликована: Апрель 3, 2025
Vapor-driven smart materials show significant advantages in areas such as intelligent control, gas detection, and information transmission. However, their typically singular response mechanisms pose challenges for achieving binary behaviors within a single system. Drawing inspiration from bimetallic strips, dual-layer covalent organic framework (DL-COF) membrane is developed with hierarchical pore structure. This exhibits asymmetric expansion or contraction on either side when exposed to morpholine 1,4-dioxane vapors, enabling behaviors. The driving forces underlying these responses are the shifts hydrogen bond equilibrium caused by chain-like bonding swelling effects two layers, which have different degrees of crystallinity. structure further enhances rapid mass transfer, DL-COF achieve an impressive time just 0.6 s. By leveraging its distinct responsiveness can be effectively utilized visual translation encrypted information, reliable decoding gas-encrypted Morse code continuous programmatic vapor inputs.
Язык: Английский
Процитировано
0