含锑难处理金精矿加压氧化法制备焦锑酸钠的工艺研究

锑及其化合物是重要的战略物资,焦锑酸钠被广泛应用于玻璃行业。锑金矿是难处理金矿的一种,直接氰化浸出时金的浸出率极低,需要进行预处理后才能提取金。针对某矿山含锑较低的难处理金精矿的特点,并结合目前难处理金矿的各种预处理方法的优缺点,研究确定了该类难处理金精矿适宜采用先回收锑再回收金的思路,即以含锑难处理金矿为原料,采用硫化钠浸出法优先分离锑,使锑以硫代亚锑酸钠形式进入滤液,然后采用加压氧化新工艺以焦锑酸钠产品的形式回收锑,氧化后的滤液经过净化和浓缩结晶后产出硫代硫酸钠产品,脱除锑后的浸出渣用细菌氧化预处理,最后用氰化法从细菌氧化渣中提取金,从而实现难处理金精矿中锑、硫、金的综合回收

氰化磨矿浸出工艺优化试验研究

为了打破现有氰化生产中传统磨矿、分级及浸出工艺,达到提高磨矿效率、氰化回收率和降低生产能耗的目标,金翅岭金矿进行氰化磨矿浸出工艺的优化试验研究,通过对矿物进行一次性磨矿浸出试验与分段磨矿浸出试验对比发现,矿物一次性磨矿至合格细度-400目细度达到90%,浸出12 h时,氰化回收率可达到99.5%;分段磨矿分段浸出一次磨矿细度为-400目占75%,一次浸出时间为16 h,分级后+400目再磨细度为91%,浸出时间为12 h时,总回收率可达99.64%。分段磨矿浸出磨机节约能耗约15%,氰化回收率提高0.14%

铜对低钾诱导大鼠小脑颗粒神经元凋亡的保护作用

【目的】探讨铜体外抗低钾诱导大鼠小脑颗粒神经元（CGNs）凋亡作用及其机制。【方法】体外培养乳鼠的CGNs并用去极化诱导凋亡模型；噻唑兰（MTT）法检测细胞存活率；相差显微镜及Hoechst 33258染色分别观察细胞及其核形态学变化；流式细胞仪（FCM）检测亚二倍体峰。【结果】1~40 μmol/L的铜可抗低钾所致的大鼠CGNs凋亡，明显提高CGNs的存活率。铜（20 μmol/L）显著减少低钾所致的大鼠CGNs胞体皱缩、细胞核固缩和亚二倍体峰等凋亡特征。铜的神经保护作用可以持续72 h以上。磷脂酰肌醇3-激酶（phosphatidylinositol-3-kinane，PI3-K）抑制剂LY294002可阻断铜的保护作用。【结论】首次发现，一定浓度范围的铜对低钾所致的大鼠CGNs凋亡有保护作用，PI3-K/ Akt信号传导通路可能参与其保护作用

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies

Prediction of Energy Resolution in the JUNO Experiment

International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors