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| 1 | Scale-up of biomass conversion using 1-ethyl-3-methylimidazolium acetate as the solvent显示文摘This scale-up study demonstrated the feasibility of an ionic liquid(IL)pretreatment process at 40 kg scale,using the IL 1-ethyl-3-methylimidazolium acetate([C2C1Im][OAc])as the solvent.The pretreatment was followed by enzymatic hydrolysis through which the process efficiency for biomass conversion to monomeric sugars was determined.The results show that 43 wt%of switchgrass was dissolved in IL after 2 h of pretreatment at 160℃ with 15 wt%solid loading.A 120 h enzymatic hydrolysis of the pretreated switchgrass results in 96%glucan and 98%xylan conversion.[C2C1Im][OAc]pretreatment has been successfully scaled up to 40 kg with improved sugar titers and yields relative to bench scale(6 kg).The mass flow of the overall process was established and the major scale-up challenges of the process were identified. | Ling Liang Jipeng Yan Qian He Tina Luong Todd R.Pray Blake A.Simmons Ning Sun | 2019 | Green Energy & Environment2019，4，4： | 2 |
| 2 | Utilizing bimetallic catalysts to mitigate coke formation in dry reforming of methane显示文摘Dry reforming of methane(DRM) involves the conversion of carbon dioxide(CO_(2)) and methane(CH_(4)) into syngas(a mixture of hydrogen, H_(2), and carbon monoxide, CO), which can then be used to produce a wide range of products by means of Fischer–Tropsch synthesis. DRM has gained much attention as a means of mitigating damage from anthropogenic greenhouse gas(GHGs) emissions to the environment and instead utilizing these gases as precursors for value-added chemicals or to synthesize sustainable fuels and chemicals. Carbon deposition or coke formation, a primary cause of catalyst deactivation, has proven to be a major challenge in the development of DRM catalysts. The use of nickel-and cobalt-based catalysts has been extensively explored for DRM for their high activity and low cost but suffer from poor stability due to coke formation that has hindered their commercialization. Numerous articles have reviewed the various aspects of catalyst deactivation and strategies for mitigation, but few has focused on the benefit of bimetallic catalysts for mitigating coke formation. Bimetallic catalysts, often improve the catalytic stability over their monometallic counterparts due to synergistic effects resulting from two metal-tometal interactions. This review will cover DRM literature for various bimetallic catalyst systems, including the effect of supports and promoters, on the mitigation of carbonaceous deactivation. | Jaylin Sasson Bitters Tina He Elizabeth Nestler Sanjaya D.Senanayake Jingguang G.Chen Cheng Zhang | 2022 | Journal of Energy Chemistry2022，31，5： | 1 |
| 3 | 冰沟丹霞显示文摘在著名的七彩丹霞完成拍摄后,我从当地人那里得知,甘肃省张液市还有一个与七彩丹霞完全不同的丹霞地貌区——冰沟丹霞,于是欣然驱车前往。当我来到冰沟丹霞地貌区,徒步登上制高点时,已经是下午4点半了,回首眺望,丹霞地貌区的主要景观尽收眼底,与远处的群山呈现出完全不同的色彩,动人得好像是超现实电影中的场景一样。 | | 2022 | 中国国家旅游2022，，5： | 0 |
| 4 | DNA methylation markers in the diagnosis and prognosis of common leukemias显示文摘The ability to identify a specific type of leukemia using minimally invasive biopsies holds great promise to improve the diagnosis,treatment selection,and prognosis prediction of patients.Using genome-wide methylation profiling and machine learning methods,we investigated the utility of CpG methylation status to differentiate blood from patients with acute lymphocytic leukemia(ALL)or acute myelogenous leukemia(AML)from normal blood.We established a CpG methylation panel that can distinguish ALL and AML blood from normal blood as well as ALL blood from AML blood with high sensitivity and specificity.We then developed a methylation-based survival classifier with 23 CpGs for ALL and 20 CpGs for AML that could successfully divide patients into high-risk and low-risk groups,with significant differences in clinical outcome in each leukemia type.Together,these findings demonstrate that methylation profiles can be highly sensitive and specific in the accurate diagnosis of ALL and AML,with implications for the prediction of prognosis and treatment selection. | Hua Jiang Zhiying Ou Yingyi He Meixing Yu Shaoqing Wu Gen Li Jie Zhu Ru Zhang Jiayi Wang Lianghong Zheng Xiaohong Zhang Wenge Hao Liya He Xiaoqiong Gu Qingli Quan Edward Zhang Huiyan Luo Wei Wei Zhihuan Li Guangxi Zang Charlotte Zhang Tina Poon Daniel Zhang Ian Ziyar Run-ze Zhang Oulan Li Linhai Cheng Taylor Shimizu Xinping Cui Jian-kang Zhu Xin Sun Kang Zhang | 2020 | Signal Transduction and Targeted Therapy2020，5，1： | 0 |
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