The hydrogenolysis/hydrocracking of waste polyethylene(PE) has recently been intensively studied, with the general pursuit of low-temperature reaction conditions, increased oil-phase yield, and narrower carbon chain d...The hydrogenolysis/hydrocracking of waste polyethylene(PE) has recently been intensively studied, with the general pursuit of low-temperature reaction conditions, increased oil-phase yield, and narrower carbon chain distribution. Before this, we utilized a ball-milled ZSM-22 catalyst loaded with Ru nanoparticles(NPs), which exhibited excellent hydroconversion performance. It deconstructed PE into >80 wt.% oil products under low temperatures and short reaction times. Herein, we investigated the influence of varying temperature/pressure parameters on the degree of specific hydrocracking/internal hydrogenolysis/terminal hydrogenolysis reactions. From the comprehensive energy efficiency perspective, including stirring, reaction, and product separation, as well as taking into account the degree of product isomerization and catalyst lifespan, we analyzed the optimization of parameters. This research abandons the notion that lower temperatures are better and proposes a more comprehensive evaluation framework for low-consumption hydroconversion of PE to produce high-value products.展开更多
文摘背景与目的:免疫检查点抑制剂(immune checkpoint inhibitor,ICI)在过去10年深刻改变了抗肿瘤治疗的格局,显著延长了恶性肿瘤患者的生存期。但随着其在临床上的广泛使用,免疫治疗相关不良反应(immune-related adverse event,irAE)也逐渐被报道和关注,但目前尚缺乏可靠的生物学指标用于预测irAE的发生风险。本文通过联合多个生物学指标,构建了用于预测肿瘤患者接受ICI治疗后发生irAE风险的模型。方法:共纳入2018年10月—2020年12月于复旦大学附属中山医院肿瘤内科住院治疗的恶性肿瘤患者共91例,将纳入研究的患者按照是否在接受ICI治疗后出现G2级别以上的irAE分为irAE组(n=13)和对照组(n=78)。回顾性分析了两组患者在接受ICI治疗前后包括血清可溶性肿瘤抑制因子(soluble form of suppression of tumorigenicity-2,sST2)、预后营养指数(prognostic nutritional index,PNI)及血小板与淋巴细胞比例(neutrophil to lymphocyte ratio,PLR)在内的生物学指标,构建logistic回归模型用于预测irAE发生风险。结果:irAE组共13例。irAE组与对照组患者的基线PNI水平、基线PLR水平与治疗后sST2峰值水平差异有统计学意义(P<0.05,P<0.05,P<0.01)。Logistic回归分析显示较低的基线PNI水平、基线PLR水平及较高的治疗后sST2峰值为患者接受ICI治疗后发生irAE的独立危险因素(OR=0.790,OR=0.997,OR=1.013),该logistic回归模型用于预测irAE发生风险的受试者工作特征(receiver operating characteristic,ROC)曲线下面积为0.857。结论:较高的sST2水平是发生irAE的独立危险因素,联合sST2、PNI及PLR构建的logistic预测模型对患者接受ICI治疗后发生irAE具有较好的预测能力。
基金supported by the CAS Project for Young Scientists in Basic Research (Grant No. YSBR-044)。
文摘The hydrogenolysis/hydrocracking of waste polyethylene(PE) has recently been intensively studied, with the general pursuit of low-temperature reaction conditions, increased oil-phase yield, and narrower carbon chain distribution. Before this, we utilized a ball-milled ZSM-22 catalyst loaded with Ru nanoparticles(NPs), which exhibited excellent hydroconversion performance. It deconstructed PE into >80 wt.% oil products under low temperatures and short reaction times. Herein, we investigated the influence of varying temperature/pressure parameters on the degree of specific hydrocracking/internal hydrogenolysis/terminal hydrogenolysis reactions. From the comprehensive energy efficiency perspective, including stirring, reaction, and product separation, as well as taking into account the degree of product isomerization and catalyst lifespan, we analyzed the optimization of parameters. This research abandons the notion that lower temperatures are better and proposes a more comprehensive evaluation framework for low-consumption hydroconversion of PE to produce high-value products.
