我国废弃油脂回收利用现状及产业化分析Analysis of the current situation and industrialization of the recycling and utilization of waste oil in China

为保障公众饮食安全和促进废弃油脂资源的合理利用，通过相关文献的系统调研与全面分析，结合专家咨询与实地考察，系统分析我国废弃油脂回收利用技术发展现状、产业化竞争优势及面临的挑战，并提出产业化建议。我国对废弃油脂的回收利用技术研究与成果转化非常活跃，已形成产业化。我国废弃油脂回收利用产业化具有市场规模大、能源转型与环保需求高、国家政策支持等竞争优势，但目前仍存在废弃油脂集运、处理技术及管理水平低，加工技术与管理水平不足，产品质量与利用水平有待提升等问题。从建立企业认证规范，统筹废弃油脂回收监督，加快产业技术创新，激发公众主体意识等方面提出了产业化发展的建议。综上，我国废弃油脂回收利用产业发展前景广阔，但仍面临较大挑战，亟待政府、高校、企业及公众共同努力推动废弃油脂回收利用的产业化发展。To ensure public food safety and promote the rational utilization of waste oil resources, the development status, industrial competitive advantages, and challenges faced by China′s waste oil recycling and utilization technologies were systematically analyzed, and industrialization suggestions were provided through systematic literature review, expert consultations, and field investigations. China′s research and achievement transformation in waste oil recycling and utilization technologies are active, forming an industrialized scale. The industrialization of waste oil recycling and utilization in China has competitive advantages such as large market scale, high demand for energy transformation and environmental protection, and government policy support. However, challenges still exist, including low levels of waste oil collection, processing technology, and management, insufficient processing technology and management levels, and needing to improve product quality and utilization level. Suggestions for industrial development include establishing enterprise certification standards, coordinating waste oil recycling supervision, accelerating industrial technological innovation, and stimulating public awareness. In conclusion, the prospects for the industrial development of waste oil recycling and utilization in China are promising, but significant challenges remain. It is urgent for the government, universities, enterprises, and the public to jointly promote the industrialization of waste oil recycling and utilization

松鼠大肠埃希氏菌和松鼠葡萄球菌混合感染的病原鉴定及诊治

2021年12月，沈阳某学院实验动物中心用于搜索毒品训练的1只笼养松鼠（Sciurus vulgaris）突发性死亡，其余陆续表现为以腹泻为主要症状的疾病。为查明发病原因，无菌采集发病松鼠的粪便及死亡松鼠样品送检。根据临床症状、剖检结果、细菌分离培养、16S rDNA基因测序及同源性比对，确定松鼠的病因是由松鼠葡萄球菌（Staphylococcus sciuri）和大肠埃希氏菌（Escherichia coli）混合感染引起。进一步确定大肠埃希氏菌的血清型为O2型。药敏试验结果显示：大肠埃希氏菌对头孢克肟、庆大霉素和卡那霉素等9种抗生素敏感，对磺胺嘧啶耐药；松鼠葡萄球菌对头孢克肟、头孢唑啉和氨苄西林等8种抗生素敏感，对卡那霉素、诺氟沙星、克林霉素和红霉素耐药。根据药敏试验结果进行疾病治疗和综合预防，最终治愈并有效控制疾病

2005～2014年CERN野外台站气象观测场土壤含水量数据集

土壤水分是影响陆地–大气边界层能量和物质传输的重要因子。土壤水分含量是中国生态系统研究网络(CERN)陆地生态系统水环境长期定位观测的重要指标。截至2014年,CERN全国范围内包括农田、森林、草地、荒漠与湿地等生态类型的34个陆地生态系统台站,依据陆地水环境观测规范、质量保证与质量控制规范,设立观测样地,并开展土壤含水量的长期定位观测与数据汇交及质控工作。CERN水分分中心选取了这34个台站2005～2014年气象观测场的土壤含水量长期监测数据,通过进一步统一规范数据格式,形成了全国范围内较长时间序列的公开共享数据集,为土壤含水量时空动态的遥感反演、模型估算验证提供地面实测数据支撑

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

Determination of the number of ψ(3686) events taken at BESIII

The number of ψ(3686) events collected by the BESIII detector during the 2021 run period is determined to be (2259.3±11.1)×106 by counting inclusive ψ(3686) hadronic events. The uncertainty is systematic and the statistical uncertainty is negligible. Meanwhile, the numbers of ψ(3686) events collected during the 2009 and 2012 run periods are updated to be (107.7±0.6)×106 and (345.4±2.6)×106, respectively. Both numbers are consistent with the previous measurements within one standard deviation. The total number of ψ(3686) events in the three data samples is (2712.4±14.3)×10^

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