2026-10-14T11:30:48Z https://www.scidb.cn/oai

10.57760/sciencedb.34166 2025-12-30T13:51:19Z

2025-12-30 Schedule 1Trace element compositions (×10-6) and characteristic parameters of scheelite in Longshan Sb-Au-(W) deposit and Caojiaba W deposit doi:10.57760/sciencedb.34166 en In this study, the scheelite samples LS-7-1 and LS-2-1 from the Longshan Sb Au - (W) deposit were collected from the 819 line of the 270 middle section of vein 7, respectively The 210 line vein in the middle section of vein 70 and vein 2, and the sample of Caojiaba W deposit were collected from core 281 m of borehole ZK801. The laser ablation system used for in-situ LA-ICP-MS analysis of scheelite is the GeoLasPro 193 nm ArF excimer laser. During the laser ablation process, helium carrier gas and argon gas are used as carriers Compensate gas and add a small amount of nitrogen to improve sensitivity, and mix the three through a T-shaped joint before entering the ICP. The sample compartment is standard equipment Erosion pool, in which resin molds are added to obtain a smaller sampling space to reduce memory effects and improve flushing efficiency. Single sample The signal acquisition includes 20 seconds of blank signal, 30 seconds of sampling time, and 40 seconds of signal attenuation to background value. During the analysis process, laser The working parameters are a frequency of 5 Hz, an energy density of 3 J/cm2, and a beam spot of 44 μ m. Perform ICP-MS performance using SRM612 before testing Optimize the instrument to achieve optimal sensitivity and ionization efficiency (U/Th ≈ 1), and minimize oxide yield (ThO/Th<0.3%) And low background values. The software ICPMSDataCal is used to select samples and blank signals, calibrate instrument sensitivity, and determine element content Quantity calculation. The correction of trace elements in scheelite is quantitatively calculated using Ca as an internal standard, and NIST 612 is used for quality monitoring.   scheelite; LA-ICP-MS; trace element Huang Jingang Fu Shanling Liu Biao Kong Hua Hou Xianan Jiang Hua PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank