Publications by authors named "Zhong-qi Hao"

An efficient method has been developed to identify meat species by using laser-induced breakdown spectroscopy (LIBS). To improve the accuracy and stability of meat species identification, multiplicative scatter correction (MSC) was adopted to first pretreat the spectrum for correction of spectrum scatter. Then the corrected spectra were identified by using the K-nearest neighbor (KNN) model.

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LIBS mapping was used to analyze and detect the elemental distribution of iron ore surface with self-developed software and 532 nm Nd∶YAG laser. Firstly, in order to illustrate the relationship between element content and spectral intensity, the calibration curve was established by scanning the surface of standard sample. Then, a self-made sample was homogeneously divided into three parts that was pressed by three different standard iron ore powders.

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The self-absorption effect is one of the main bottlenecks for the laser-induced breakdown spectroscopy (LIBS) technique. In this Letter, LIBS assisted by laser-stimulated absorption (LSA-LIBS) is proposed to solve this problem. The process of LSA in self-absorption reduction is discussed and confirmed.

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Laser-induced breakdown spectroscopy (LIBS), a new kind of atomic spectrum analysis technology, has attracted much atterition of the researchers due to its characteristics of real-time, simultaneous multi-element analysis, and no sample preparation. However, the poor analytical sensitivity has been an important factor that restricts the development of this technology. LIBS based on resonance excitation combines atomic fluorescence spectroscopy and laser-induced breakdown spectroscopy and selectively excites the target elements.

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The concentrations of vanadium and titanium elements in the steel samples were quantitatively analyzed by Laser-induced breakdown spectroscopy technique in the present paper. The lines of V (VI: 440.85 nm) and Ti (Ti I: 334.

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