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To improve the stability and accuracy of quantitative analysis in laser-induced breakdown spectroscopy (LIBS), a correction method of laser induced breakdown spectroscopy using a quartz tuning fork was developed. In this experiment, Cr, Cu, Ni and Mn in steel samples were selected as the target analytes. The laser-induced plasma acoustic and spectral signals were simultaneously acquired using a quartz tuning fork and spectrometer, with the acoustic signal subsequently was used to correct the spectral signal. The results indicated that, compared to the original spectral intensities, the average relative standard deviation (ARSD) of the four elements decreased from 7.07 % to 5.02 %. The average coefficient of determination (R) of the calibration curves improved by 1.02 %, rising from 0.976 to 0.986. The average relative error (ARE) of the predicted values decreased from 23.16 % to 11.46 %. After acoustic correction using the quartz tuning fork, the R and the average prediction error of the calibration curve are both superior to those of the internal standard method. The results demonstrated that acoustic correction based on the quartz tuning fork can significantly enhance the stability of spectral signals and effectively improve the accuracy of calibration models.
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http://dx.doi.org/10.1016/j.talanta.2025.128572 | DOI Listing |
Heterodyne-based light-induced thermoelastic spectroscopy (HLITES) is capable of correcting measurement errors by evaluating the parameters of the quartz tuning fork (QTF). However, the correcting performance of HLITES will deteriorate under low concentration levels or laser power due to the weakened QTF transient response. Therefore, we propose an electrical excitation beat-aided LITES (EEBA-LITES), which is realized by optical and electrical excitation to the QTF utilizing the time-division multiplexing technique.
View Article and Find Full Text PDFWhat we believe to be a novel load capacitance matching method is proposed for adjusting the resonant frequency of a quartz tuning fork (QTF) in a multi-QTF-based laser spectroscopy gas sensor for the first time. A sensing system integrating quartz-enhanced photoacoustic spectroscopy (QEPAS) and light-induced thermoelastic spectroscopy (LITES) was constructed to validate the proposed method. In this system, the QEPAS module consists of QTF1, while the LITES module is based on QTF2.
View Article and Find Full Text PDFPhotoacoustics
October 2025
International Cooperation Joint Laboratory for Optoelectronic Hybrid Integrated Circuits, Jinan University, Guangzhou 510632, China.
Accurate and rapid detection of hydrogen and hydrocarbons is critical for safety and efficiency in modern energy, industrial, and environmental systems. However, selective and simultaneous quantification of these species remains a significant technical challenge. Here, we introduce conductance-photoacoustic spectroscopy (ConPAS), an integrated sensing approach that combines conductance-based resonance modulation with quartz-enhanced photoacoustic spectroscopy in a single device.
View Article and Find Full Text PDFIn this paper, a quartz-enhanced photoacoustic spectroscopy (QEPAS) sensor based on a novel tapered acoustic resonator (TAR) was proposed for the first time, to our knowledge. The proposed structure not only enhances acoustic signals but also substantially reduces the demands on beam quality and optical alignment, leading to improved system applicability and stability. The structure features a large-opening design at one end, enabling low-loss beam coupling and significantly reducing optical power attenuation.
View Article and Find Full Text PDFMikrochim Acta
July 2025
Department of Applied Physics, Defence Institute of Advanced Technology, Girinagar, Pune, 411025, Maharashtra, India.
The detection of volatile organic compounds (VOCs) and their mixtures is critical for applications ranging from environmental monitoring and industrial process control to non-invasive disease diagnostics. Electronic noses offer a promising route for selective VOC identification. In this work, we report an enhanced e-nose platform based on quartz tuning fork (QTF) sensors functionalized with polymer-nanoparticle (NP) composites.
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