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| 1 | Identification of an Early–Middle Jurassic oxidized magmatic belt,south Gangdese,Tibet,and geological implications显示文摘The south Gangdese region is the site of subduction of the Neo-Tethys and subsequent continental collision. Compared with widespread Cretaceous and Cenozoic magmatism, Early–Middle Jurassic magmatic rocks and related deposits are rarely reported. Our work identified a >200 km long felsic rock belt associated with Cu mineralization in the south Gangdese region. We report here zircon U–Pb ages, zircon Ce^(4+)/Ce^(3+)values, and mineral assemblages of two Cu mineralized intrusions within the belt. A hornblende granite and a diorite porphyry were emplaced at 177.3 Ma and 166.3 Ma, respectively.Geological occurrence and magmatic hematite–magnetite–chalcopyrite intergrowths suggest that Cu mineralization formed coeval with Jurassic intrusions. Mineralized intrusions have high zircon Ce^(4+)/Ce^(3+)and EuN/Eu?N ratios, and hematite–magnetite intergrowths, suggesting their parent magmas were highly oxidized. Hornblende is common and primary fluid inclusions are found in titanite and apatite,indicating their parent magmas were water-saturated and exsolved volatile phases at early stage of magmatic evolution. Those magma characters contribute to the formation of porphyry Cu deposits. Given that majority subduction-related porphyry Cu systems have been eroded following uplift and denudation, the well-preserved Early–Middle Jurassic Cu mineralized igneous rocks in south Gangdese are favorable prospecting targets for subduction-related porphyry Cu deposits. | Yinqiao Zou Xilian Chen Wenting Huang Jian Zhang Huaying Liang Jifeng xu Ling Chen | 2017 | Science Bulletin2017，62，12： | 7 |
| 2 | Determination of Acidolysis Hydrocarbons in Oil/Gas Geochemical Exploration Sample By Gas Chromatograph显示文摘1 Introduction Although a mumerous of papers were reported for the chemcial or instrumental analysis of inorganic elements for the geocheical samples(Sun and Xie,2014;Sun et al.,2014;Rao et al.,2004).However,the analytical | CHEN Weiming LI Qingxia XIAO Xilian ZHANG Qin DENG Tianlong | 2014 | Acta Geologica Sinica(English Edition)2014，88，S1： | 0 |
| 3 | Research on the Preparation of an Anti-Acne Cream and Its Thermal Stability显示文摘In this paper, the preparation of tea tree oil and salicylic acid anti-acne cream was studied. The single emulsifier, compound emulsifier, thickener in the acidic system were screened, and the long-term thermal stability was investigated. The experimental results show that when the ether emulsifier, NIKKOL BC-150 and MONTANOV 68, is compounded in a mass ratio of 2:1 and the thickener is SEPIPLUS 400, the obtained product has good thermal stability, and its functional ingredients (tea tree oil and salicylic acid) did not change significantly at high temperatures. | Li Xilian Jia Bing Chen Minghua | 2019 | China Detergent & Cosmetics2019，4，1： | 0 |
| 4 | Petrogenesis, oxidation state and volatile content of Dongga tonalite in the Gangdese belt, Xizang: Implication for porphyry Cu mineralization显示文摘The Gangdese belt in Xizang has experienced both Jurassic subduction and Cenozoic continental colli-sion processes,making it a globally renowned region for magmatic rocks and porphyry copper deposits.Numerous Jurassic intrusions have been identified in the belt.Apart from the quartz diorite porphyry in the large Xietongmen deposit,the Cu mineralization potential of other Jurassic intrusions in this belt remains unclear.This study presents zircon U–Pb dating and trace elements,apatite major and trace elements as well as published whole-rock geochemi-cal and isotopic data of the Dongga tonalite in the central part of the Gangdese belt,aiming to reveal the petrogen-esis,oxidation state,volatile content,and Cu mineraliza-tion potential of this intrusion.The Dongga tonalite has a zircon U–Pb age of 179.4±0.9 Ma.It exhibits high whole-rock V/Sc values(8.76–14.6),relatively low apatite CeN/Ce*N ratios(1.04–1.28),elevated zircon(Eu/Eu*)N values(an average of 0.44),high Ce^(4+)/Ce^(3+)values(205–1896),and high∆FMQ values(1.3–3.7),collectively suggesting a high magmatic oxygen fugacity.The Dongga tonalite fea-tures amphibole phenocrysts,relatively high whole-rock Sr/Y ratios(20.3–58.9),and lower zircon Ti temperatures(502–740°C),reflecting a high magmatic water content.Estimation of magmatic sulfur content(0.002–0.024 wt%)based on apatite SO3 contents indicates an enriched magma sulfur content.Combined with previous studies and the col-lected Sr–Nd–Hf isotopes,the Dongga tonalite is derived from juvenile lower crust related with subduction of the Neo-Tethys oceanic slab.When compared with Xietongmen ore-bearing porphyries,the Dongga tonalite exhibits remarkable similarities with the Xietongmen ore-bearing porphyries in terms of magma source,tectonic background,magmatic redox state,and volatile components,which indicates that the Dongga tonalite has a high porphyry Cu mineralization potential,and therefore,provides important guidance for the future mineralization exploration. | Liqiang Zhang Xilian Chen Shaohao Zou Deru Xu Xuena Wang Hua Wang | 2024 | Acta Geochimica2024，43，2： | 0 |
| 5 | A machine learning approach to tracking crustal thickness variations in the eastern North China Craton显示文摘The variation of crustal thickness is a critical index to reveal how the continental crust evolved over its four billion years.Generally,ratios of whole-rock trace elements,such as Sr/Y,(La/Yb)n and Ce/Y,are used to characterize crustal thicknesses.However,sometimes confusing results are obtained since there is no enough filtered data.Here,a state-of-the-art approach,based on a machine-learning algorithm,is proposed to predict crustal thickness using global major-and trace-element geochemical data of intermediate arc rocks and intraplate basalts,and their corresponding crustal thicknesses.After the validation processes,the root-mean-square error(RMSE)and the coefficient of determination(R2)score were used to evaluate the performance of the machine learning algorithm based on the learning dataset which has never been used during the training phase.The results demonstrate that the machine learning algorithm is more reliable in predicting crustal thickness than the conventional methods.The trained model predicts that the crustal thickness of the eastern North China Craton(ENCC)was-45 km from the Late Triassic to the Early Cretaceous,but-35 km from the Early Cretaceous,which corresponds to the paleo-elevation of 3.0±1.5 km at Early Mesozoic,and decease to the present-day elevation in the ENCC.The estimates are generally consistent with the previous studies on xenoliths from the lower crust and on the paleoenvironment of the coastal mountain of the ENCC,which indicates that the lower crust of the ENCC was delaminated abruptly at the Early Cretaceous. | Shaohao Zou Xilian Chen Deru Xu Matthew JBrzozowski Feng Lai Yubing Bian Zhilin Wang Teng Deng | 2021 | Geoscience Frontiers2021，12，5： | 0 |
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