High Linearity Research Articles

Improved PGC-Arctan demodulation algorithm based on real-time feedback control

The phase generated carrier (PGC) demodulation algorithm has the characteristics of high accuracy, good linearity, and large dynamic range, which makes it widely used in interferometric fiber optic sensors. However, due to the influence of carrier phase delay (CPD), phase modulation depth (C), and light intensity disturbance, the system introduces nonlinear distortions. To address this problem, we proposed a highly stable PGC demodulation algorithm that combines CPD compensation and C self-calibration. Multitone mixing is used in the CPD compensation and C self-calibration. The CPD compensation algorithm calculates CPD using the harmonic components and their differential components obtained from two orthogonal carrier signals and uses CPD to set the initial phase of the reference carrier to obtain the harmonic components that eliminate the influence of CPD. The C self-calibration algorithm calculates the real-time C by the ratio of the two harmonic components and introduces proportional-integral-derivative control to stabilize C at the optimal value by controlling the output voltage. The experimental results show that the standard deviation of the CPD calculated by the CPD compensation algorithm is 0.0012 rad. The real-time modulation depth of the system can quickly reach the optimal value and maintain it for a long time. The average phase modulation depth is 2.63 rad with a standard deviation of 0.00735 rad. Compared with the traditional PGC-Arctan demodulation algorithm, our algorithm yields higher SINADs and lower THDs under different CPDs; the average SINAD is 62.68 dB, and the THD is 0.075%.

Frequency agile photonic integrated external cavity laser

Recent advances in the development of ultra-low loss silicon nitride integrated photonic circuits have heralded a new generation of integrated lasers capable of reaching fiber laser coherence. However, these devices are presently based on self-injection locking of distributed feedback laser diodes, increasing both the cost and requiring tuning of laser setpoints for their operation. In contrast, turn-key legacy laser systems use reflective semiconductor optical amplifiers (RSOAs). While this scheme has been utilized for integrated photonics-based lasers, so far, no cost-effective RSOA-based integrated lasers exist that are low noise and simultaneously feature fast, mode-hop-free, and linear frequency tuning as required for frequency modulated continuous wave (FMCW) LiDAR or for laser locking in frequency metrology. Here we overcome this challenge and demonstrate a RSOA-based, frequency agile integrated laser, that can be tuned with high speed, with high linearity at low power. This is achieved using monolithic integration of piezoelectrical actuators on ultra-low loss silicon nitride photonic integrated circuits in a Vernier filter-based laser scheme. The laser operates at 1550 nm, features a 6 mW output power and a 400 Hz intrinsic laser linewidth, and allows ultrafast wavelength switching within 7 ns rise time and 75 nW power consumption. In addition, we demonstrate the suitability for FMCW LiDAR by showing laser frequency tuning over 1.5 GHz at 100 kHz triangular chirp rate with a nonlinearity of 0.25% after linearization and use the source for measuring a target scene 10 m away with a 8.5 cm distance resolution.

A Dynamic Load Modulation Power Amplifier with Ferroelectric-Based Tunable Matching Network

Power amplifiers are crucial components that significantly influence the linearity and energy efficiency of next-generation communication system radio units. A key challenge in designing power amplifiers is managing high peak-to-average power ratio (PAPR) in order to achieve both high linearity and energy efficiency during back-off conditions. This paper presents simulation and measurement results for a dynamic load modulation power amplifier based on a ferroelectric tunable matching network to operate at 2.5 GHz. Experimental studies on a power amplifier with the tunable output matching network confirm its performance at 8 dB back-off while varying the control voltage applied to the ferroelectric element. Additionally, a bias modulator to adjust the transistor’s load in relation to input power was designed. Measurement studies of the dynamic load modulation power amplifier have demonstrated an efficiency of at least 50% at 8 dB back-off and more than 60% at peak power at 2.5 GHz. Furthermore, it was found that the modulator output voltage adjustment function on input power of the bias modulator affects the linearity of the output power. Different bias responses were studied and, as a result, the optimal output voltage response was found. The proposed load modulation power amplifier is promising for operation with high PAPR digital signals.

Pd nanoislands-modified ZnO nanowire-network for sensitive and linear hydrogen sensing

To facilitate the safety use of hydrogen fuel in aerospace applications and in hydrogen fuel cell vehicles, there is a high demand for hydrogen sensing technology with both merits of high sensitivity and high linearity. However, it is hard to integrate these two advantages together in just one device. Here, we designed and developed a hydrogen-sensitive Pd nanoislands-modified ZnO nanowire-network structure (Pd-ZnO nanoisland structure) for sensitive and linear hydrogen sensing. By optimizing the size-to-gap ratio of Pd nanoislands, we enhanced the response of the Pd-ZnO nanoisland structure sensor (Pd-ZnO sensor) more than 12 times larger than that of the pure ZnO nanowire-network sensor (without Pd nanoislands), and decreased its limit of detection down to 100 ppb at 150 °C low temperature. On the premise of high sensitivity, the sensor also has a remarkable sensing linearity (R2 >0.9969) in the whole detecting range and the full operating temperature range as designed. The high sensitivity together with high linearity can maximize the signal-to-noise ratio and facilitate the calibration of sensors. For example, only the single calibration at a specific concentration can meet the sensing of Pd-ZnO sensors in the whole concentration range. This study of utilizing noble metal nanoislands to modify metal oxide semiconductors provides an opportunity for hydrogen sensors with high sensitivity and high linearity to be integrated into one device.

Ti3C2Tx Aerogel-Based Wearable Humidity Sensors with Low Hysteresis and High Linearity for Expiratory Comfort Management.

Wearable and flexible humidity sensors hold great promise for expiratory comfort management. However, the high hysteresis and poor detection linearity restrict the immediate and accurate detection of humidity. Herein, we have prepared Ti3C2Tx MXene/chitosan/polyvinylidene difluoride aerogels with a controllable hydrophobic/hydrophilic surface to regulate the catch/escape behavior of H2O molecules. The MXene aerogel-based humidity sensor demonstrates low hysteresis (3.2% relative humidity) and a high linear relationship (R2 = 0.99). Integrated with a control circuit, an expiratory humidity monitoring system is constructed for nasal comfort management as a humidity switch. The exhaled breath humidity can be automatically regulated during dry exhalation conditions. This wearable humidity sensor enables the real-time monitoring and intelligent control of nasal exhaled humidity. This work represents a new avenue for improving breathing comfort and preventing respiratory diseases.

Synthesis of CoFe2O4@C based on Fe/Co-BTC for efficient detection, determination and degradation of nitenpyram residue: An electrochemical study, condition optimization and mechanism

As a widely-used neonicotinoid insecticide, nitenpyram is widely used in agricultural production due to its high efficiency, low toxicity and broad-spectrum insecticidal properties. However, its residue poses a potential threat to the environment and ecosystem. In this study, a new material with a core-shell structure, namely CoFe2O4@C, prepared based on Fe/Co-BTC was successfully developed for the efficient detection and degradation of nitenpyram. CoFe2O4@C exhibited excellent detection performance in the concentration range of 10−4 to 10−12 mol/L by differential pulse voltammetry (DPV) with high sensitivity (LOD = 845 fM) and good linearity (R2 = 0.9952). CoFe2O4@C also demonstrated high recoveries in real sample analyses, validating its reliability for in situ detection. In addition, it was found that CoFe2O4@C was able to efficiently promote the degradation of nitenpyram in the electro-Fenton system at a concentration of 10 mg/L under optimized conditions in only 20 min. In conclusion, CoFe2O4@C excelled in the detection of nitenpyram with its stability, reproducibility, and immunity to interference, and also demonstrated efficient performance in the electro-Fenton degradation process. Relative mechanism and pathway of CoFe2O4@C for the detection and degradation of nitenpyram have been investigated. These results not only provide a new technology for the environmental monitoring of nitenpyram, but also contribute an effective technological tool in the field of pollution control.

Green Microfluidic Method for Sustainable and High-Speed Analysis of Basic Amino Acids in Nutritional Supplements

Amino acids (AAs) have broad nutritional, therapeutic, and medical significance and thus are one of the most common active ingredients of nutritional supplements. Analytical strategies for determining AAs are high-priced and often limited to methods that require modification of AA polarity or incorporation of an aromatic moiety. The aim of this work was to develop a new method for the determination of L-arginine, L-ornithine, and L-lysine on low-cost microchip electrophoresis instrumentation conjugated with capacitively coupled contactless conductivity detection. A solution consisting of 0.3 M acetic acid and 1 × 10−5 M iminodiacetic acid has been identified as the optimal background electrolyte, ensuring the shortest possible analysis time. The short migration times of amino acids (t ≤ 64 s) and method simplicity resulted in high analysis throughput with high precision and linearity (R2≥ 0.9971). The limit of detection values ranged from 0.15 to 0.19 × 10−6 M. The accuracy of the proposed method was confirmed by recovery measurements. The results were compared with CE-UV-VIS and HPLC-DAD methods and showed good agreement. This work represents the first successful demonstration of the ME-C4D analysis of L-arginine, L-ornithine, and L-lysine in real samples.

A diaphragm secondary stress utilization method for increasing the sensitivity of piezoresistive pressure sensors without sacrificing linearity

Piezoresistive pressure sensors with high sensitivity and linearity are critical for aerospace and other industries, however, attempts to improve sensitivity often reduce linearity. Therefore a diaphragm secondary stress utilization method (DSSUM) is proposed, which can significantly increase sensor sensitivity without sacrificing the linearity. The DSSUM realizes the detection of primary and secondary stresses on the diaphragm through the eight-piezoresistor Wheatstone bridge without changing the structure of the diaphragm. A differential pressure sensor with a measurement range of −15 ∼ 15 kPa has been designed and fabricated based on DSSUM. Comparative test results show that DSSUM can increase the sensitivity of the sensor by 50.32 % to 32.35 mV/kPa while maintaining the linearity at 0.031 %F.S. The repeatability of the sensor is 0.02 %FS, the hysteresis is 0.01 %FS, and the zero drift is 0.052 %FS. By using DSSUM, both wide-range and small-range pressure sensors can increase their sensitivity by more than 50 % without impacting linearity. The DSSUM offers a new method for achieving high-performance pressure sensors and holds potential for wide application.

Optimization, Validation, and Application of Cleanup-Coupled Liquid Chromatography-Tandem Mass Spectrometry for the Simultaneous Analyses of 35 Mycotoxins and Their Derivatives in Cereals.

Mycotoxins occur singly or as co-contaminants and are primarily present in carbohydrate-rich foods such as cereals and cereal-based products. To effectively monitor mycotoxin co-contamination in cereals and cereal-based products, the simultaneous analysis of mycotoxins and their derivatives is required. Therefore, we coupled cleanup with LC-MS/MS for the rapid and robust quantitation of 35 analytes in wheat samples, including ergot alkaloids (EAs), which are rarely included in such analyses. To investigate the effects of different mycotoxin types on adsorbents, various dispersive solid-phase extraction sorbents were evaluated; a C18 end-capped sorbent exhibited the most effective cleanup performance. The method was validated by analyzing samples fortified with the mycotoxins at three concentration levels. The results exhibited high linearity, high recoveries, and repeatability. The methodology was applied for commercial cereal samples. The cereal samples were found to be 74% contaminated, and two samples measured levels of EAs at 609.63 μg/kg and 294.93 μg/kg, exceeding the limits defined by the EU for rye milling products. These findings highlight the validity of our novel method and the necessity of continuously monitoring mycotoxin levels in cereals to ensure food safety.

Chromatographic analysis of ponatinib and its impurities: method development, validation, and identification of new degradation product.

Ponatinib, a third-generation tyrosine kinase inhibitor, is employed in the management of adult chronic myeloid leukemia. Nevertheless, the presence of process impurities and degradation impurities linked to ponatinib may potentially influence its effectiveness and safety. Therefore, the objective of this research was to establish a robust liquid chromatography method and systematically validate it for the detection of substances related to ponatinib. The separation of ponatinib and its impurities was conducted using an Agilent 5HC-C18 chromatographic column (4.6mm × 250mm, 5μm). The mobile phase A comprised a mixture of water and acetonitrile in a 9:1 ratio, with an aqueous solution of pH 2.4 containing 2mM potassium dihydrogen phosphate and 0.4% triethylamine. Mobile phase B, consisting of acetonitrile, was eluted in a gradient fashion. The flow rate was set at 1.0mL/min, detection wavelength at 250nm, column temperature at 40°C, and injection volume at 10μL. The method demonstrated high specificity, sensitivity, solution stability, linearity, precision, accuracy, and robustness. Additionally, this research unveiled a novel compound, imp-B, generated via the oxidative degradation of ponatinib. The molecular structure of the newly discovered product was elucidated through the utilization of nuclear magnetic resonance (NMR) and high-resolution mass spectrometry (HRMS). In conclusion, the chromatographic method developed in this study has the potential to be utilized for the detection of ponatinib and its impurities, thereby offering significant insights for quality assessment in ponatinib research.

Multifunctional CeO2:Fe3+ electrodes: Superior uric acid sensing and high-efficiency supercapacitor application

This study investigates the versatile capabilities of iron-doped CeO2-modified carbon paste electrodes (FCO MCPE) for both enhanced uric acid (UA) detection and efficient energy storage applications. Iron-doped CeO2 nanoparticles were synthesized via combustion synthesis. Cyclic voltammetry (CV) showed a 29 % increase in anodic peak current (2.05 µA) with the FCO MCPE compared to bare carbon paste electrodes (BCPE) (1.59 µA), indicating improved catalytic properties. Analysis of scan rates revealed a diffusion-controlled oxidation process. Differential pulse voltammetry (DPV) demonstrated excellent linearity (R2 = 0.999) and low detection limits (LOD: 0.132 µM, LOQ: 0.442 µM). Selectivity tests confirmed the superior ability of the FCO MCPE to differentiate UA from dopamine (DA), with a high linearity (R2 = 0.998). Stability tests showed only an 11 % decrease in performance after 15 cycles. In super capacitor evaluations, FCO materials exhibited a high specific capacitance of 200.43 F g−1 at 2 mV/s and impressive cycling stability with 87.5 % capacitance retention after 5000 cycles. Electrochemical impedance spectroscopy (EIS) revealed efficient charge transfer with a peak specific capacitance of 52.39 F g−1 at 0.01 Hz. These findings underscore the potential of FCO MCPEs for both effective UA detection and efficient super capacitor applications.

Reversible addition-fragmentation chain transfer enhanced aggregation signal-on fluorescence detection of alkaline phosphatase.

The instability of the signal intensity of fluorescent biosensors and the false signals have been significant factors affecting the performance of biosensors. Herein, a novel signaling system is devised through the application of reversible addition-fragmentation chain transfer (RAFT) polymerization with monomers containing the tetraphenylethylene (TPE) groups. TPE exhibits an aggregation-induced emission (AIE) phenomenon in certain solvents, mainly due to the blockage of the rotation of its four benzene rings, which also exist in the aggregated state. With this property, a series of molecules are modified based on click chemistry for RAFT polymerization using Fe3O4 magnetic beads as the carriers, and stable aggregated luminescent TPE polymers are formed on the surface of magnetic beads to realize the transformation of fluorescence signal from "0" to "1". In addition, the fluorescence signal demonstrates a positive correlation with alkaline phosphatase (ALP) activity, which can be quantified by measuring the fluorescence intensity. The biosensor exhibits high sensitivity and good linearity in the range of 0.1-5 U/L, with a LOD of 0.079 U/L. Furthermore, the designed strategy demonstrated satisfactory performance in the quantitative determination of ALP activity in serum samples, indicating that the signaling system developed by combining RAFT polymerization and AIE molecules has an important application in the field of fluorescent biosensors.

Investigation of electrochemical fingerprints for Buzhong Yiqi Tang extract granules using diamond-graphene composite electrode

This study presents a novel electrochemical fingerprinting method for Buzhong Yiqi Tang extract granules using a diamond-graphene composite electrode. The electrode was fabricated through chemical vapor deposition of graphene on high-pressure high-temperature synthetic diamond, resulting in a few-layer graphene coating as confirmed by Raman spectroscopy (I₂D/IG ratio ≈ 1.2) and XPS analysis (78 % sp² C-C signal). Cyclic voltammetry revealed four anodic and three cathodic peaks, while differential pulse voltammetry provided enhanced resolution with eight distinct oxidation peaks. The method demonstrated high sensitivity (LODs 0.08–0.15 mg/mL) and good linearity (R² > 0.995) over a concentration range of 0.5–10 mg/mL. Comparison of fingerprints from individual herb extracts (Astragalus membranaceus, Panax ginseng, and Glycyrrhiza uralensis) elucidated the origins of major peaks in the Buzhong Yiqi Tang profile. Principal component analysis of fingerprints successfully differentiated between samples from three manufacturers, accounting for 87.3 % of total variance. Strong correlations (r > 0.92) were observed between key DPV peak intensities and HPLC-determined concentrations of traditional chemical markers. The rapid analysis time, minimal sample preparation, and holistic representation of multiple electroactive components make this approach a promising complement to existing chromatographic methods for quality assessment of traditional Chinese medicine formulations.

Eccentric Core Photonic Crystal Fiber Magnetic Field Sensor Based on Surface Plasmon Resonance with Extremely High Linearity

Eccentric Core Photonic Crystal Fiber Magnetic Field Sensor Based on Surface Plasmon Resonance with Extremely High Linearity

Varying Performance of Low-Cost Sensors During Seasonal Smog Events in Moravian-Silesian Region

Air pollution monitoring in industrial regions like Moravia-Silesia faces challenges due to complex environmental conditions. Low-cost sensors offer a promising, cost-effective alternative for supplementing data from regulatory-grade air quality monitoring stations. This study evaluates the accuracy and reliability of a prototype node containing low-cost sensors for carbon monoxide (CO) and particulate matter (PM), specifically tailored for the local conditions of the Moravian-Silesian Region during winter and spring periods. An analysis of the reference data observed during the winter evaluation period showed a strong positive correlation between PM, CO, and NO2 concentrations, attributable to common pollution sources under low ambient temperature conditions and increased local heating activity. The Sensirion SPS30 sensor exhibited high linearity during the winter period but showed a systematic positive bias in PM10 readings during Polish smog episodes, likely due to fine particles from domestic heating. Conversely, during Saharan dust storm episodes, the sensor showed a negative bias, underestimating PM10 levels due to the prevalence of coarse particles. Calibration adjustments, based on the PM1/PM10 ratio derived from Alphasense OPC-N3 data, were initially explored to reduce these biases. For the first time, this study quantifies the influence of particle size distribution on the SPS30 sensor’s response during smog episodes of varying origin, under the given local and seasonal conditions. In addition to sensor evaluation, we analyzed the potential use of data from the Copernicus Atmospheric Monitoring Service (CAMS) as an alternative to increasing sensor complexity. Our findings suggest that, with appropriate calibration, selected low-cost sensors can provide reliable data for monitoring air pollution episodes in the Moravian-Silesian Region and may also be used for future adjustments of CAMS model predictions.

Development and validation of a VP7-specific EIA for determining the potency and stability of inactivated rotavirus vaccine

To determine the potency of the inactivated rotavirus vaccine (IRV), we developed an enzyme immunoassay (EIA) using a biotin-conjugated RV VP7-specific monoclonal antibody. RV VP7, a pivotal structural protein in the outer capsid layer, governs RV G genotypes and prompts host immune responses, including neutralizing antibodies. This EIA showed high specificity, good linearity, high precision, and high accuracy, with a low limit of detection (LOD) and a limit of quantitation (LOQ) of 0.037µg/ml RV antigen. The EIA was evaluated and proved suitable for establishing the long-term stability of IRV drug substance (DS) and aluminum-formulated drug product (DP) when stored at -70±10°C and 5±3 °C, respectively. Our results support the use of this EIA to examine the stability and determine the potency, antigen dose, lot-to-lot consistency, and lot release of IRV products. This RV potency assay may serve as an alternative to in vivo potency tests, making it suitable for quality control tests of cGMP IRV lots in clinical trials.

Structure formation mechanism of pectin-soy protein isolate gels: Unraveling the role of peach pectin fractions

This study investigated the macro & micro properties of the composite gels formed by soy protein isolate (SPI) and peach pectin fractions: water-soluble pectin (WSP), chelator-soluble pectin (CSP), and sodium carbonate soluble pectin (NSP). Specially, the interaction between pectin fractions and SPI was studied to explain the formation mechanism of the composite gels. WSP, as a high methoxyl pectin, exhibited rich branching (sugar ratio B = 3.10). CSP, as a low methoxyl pectin, depicted a high linearity. NSP, with low linearity (sugar ratio A = 6.14), contained numerous side chains. Due to the strong interaction between pectin fractions and SPI, the new composites with excellent dense network microstructures were formed, accompanied by increased apparent viscosity, higher G′ and G′′, and reduced particle size. XRD and FT-IR analysis highlighted the modifications in gel structures. SEM-dispersive X-ray spectroscopy observed elemental distribution and framework composition in pectin-SPI gels. Hydrophobic interaction was the most important chemical force in pectin-SPI binding. Molecular docking results indicated that galacturonic acid in pectin bound more strongly to 7S than to 11S, with tighter hydrogen bonds. Notably, WSP-SPI showed the lowest turbidity, indicating enhanced solubility and particle dispersion, which helped prevent aggregation. CSP-SPI demonstrated the highest G′ and G′′, ascribing to the high linearity and abundant carboxyl groups in CSP. NSP-SPI showed the highest apparent viscosity and irregular structure. Overall, the texture properties of pectin-SPI gels were driven by pectin's structure properties, which would provide new and valuable information for texture control in gel formulation.

Optimization Analysis of Low-Noise Amplifier

This paper mainly analyzes the important component of a wireless receiver – low-noise amplifiers (LNA). Low-noise amplifiers can reduce the effect of noise on the received signal and amplify signals. For the better development of wireless communication technology, remote control, and other related fields, it is necessary to optimize the design of low-noise amplifiers, so that low-noise operational amplifiers can finally obtain high gain, low noise figure, and other advantages. This paper analyzes the optimization design of LNA in the field of Global Navigation Satellite Systems (GNSS). This paper analyzes a low-noise amplifier design with the operation of concurrent dual-band for GNSS receivers with a single channel. The optimized design of a low-noise amplifier in this field uses a low-cost 0.18µm CMOS tube and adds load capacitances and a feedforward path to reduce the noise figure (NF) of the system. Noise figures in 1.2 GHz and 1.57 GHz bands are reduced by about 0.9 dB. In addition, the high gain, high linearity, and other excellent properties are shown in 1.2 GHz and 1.57GHz. In the application of 5G/6G network technology, the optimized design of Gallium Arsenide (GaAs) PHEMT technology with a gate length of 0.3µmm and inductively degraded common source topology phase structure is adopted. From this optimization, the noise figure is optimized to 1.3-1.4, and the gain of the system is 20-22 dB. At the same time, good linearity is also shown. Then, the prospects of semiconductor materials such as Gallium Nitride (GaN) and Indium Phosphide (InP), which have the advantages of high electron mobility and low-cost design, in optimizing low noise operational amplifiers. To a certain extent, the in-depth study of the optimal design of LNA can improve the technical level of wireless communication, aerospace, and other fields.

Comparative Analysis of Pharmaceutical Persistence in Canadian Wastewater Treatment Plants Utilizing Molecularly Imprinted Polymers and Commercial Solid Phase Extraction Sorbents

In this study, the performances of a synthesized Molecularly Imprinted Polymer (MIP) and a commercial Solid Phase Extraction (SPE) cartridge were compared in terms of the removal efficiency and quantification of pharmaceutical compounds in wastewater samples. Concentration analysis of Emtricitabine, Tenofovir, Naproxen, Diclofenac, Ibuprofen, and Efavirenz was conducted in influent, primary effluent, secondary effluent, and post-chlorination water samples using liquid chromatography-UV detection. Regressions analysis revealed high linearity (R2 values from 0.9980 to 0.9999) for the compounds, alongside recoveries ranging from 90.9% to 100%. The method detection limits (MDLs) were also determined. Removal efficiencies were computed, with Naproxen and Ibuprofen demonstrating complete removal (100%), while other compounds displayed different of removal efficiency levels. The MIP was found to perform slightly better than traditional SPE cartridges in terms of selectivity, efficiency, and overall performance. This study provides valuable insights into the concentrations of target compounds at various treatment stages, emphasizing the importance of choosing extraction cartridges in wastewater treatment processes.

Miniaturized Electrochemical Gas Sensor with a Functional Nanocomposite and Thin Ionic Liquid Interface for Highly Sensitive and Rapid Detection of Hydrogen.

Hydrogen has been widely used in industrial and commercial applications as a carbon-free, efficient energy source. Due to the high flammability and explosion risk of hydrogen-air mixtures, it is vital to develop sensors featuring fast-responding and high sensitivity for hydrogen leakage detection. This paper presents a miniaturized electrochemical gas sensor by elaborately establishing a nanocomposite and thin ionic liquid interface for highly sensitive and rapid electrochemical detection of hydrogen, in which a remarkable response time and recovery time of approximately 6 s was achieved at room temperature. A screen-printed carbon electrode was modified with a reduced graphene oxide-carbon nanotube (rGO-CNT) hybrid and platinum-palladium (Pt-Pd) bimetallic nanoparticles to realize high sensitivity. To achieve miniaturization and high stability of the sensor, a thin-film room-temperature ionic liquid (RTIL) was employed as the electrolyte with a significantly decreased response time. The fast-responding hydrogen sensor demonstrates excellent performance with high sensitivity, linearity, and repeatability at concentrations below the lower explosive limit of 4 vol %. The engineered high-performance interface and gas sensor provide a promising and effective strategy for gas sensor design and rapid hazardous gas monitoring.