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According to the Food and Agriculture Organization of the United Nations, approximately 1.3 billion tons of food is wasted each year, equivalent to approximately one-third of world production. Agri-food wastes are the source of proteins, carbohydrates, lipids, and other essential minerals that have been exploited for value-added products by the development of biorefineries and sustainable business as important elements of circular economies. The innovation and materialization of these types of processes, including the use of disruptive technologies on microbial bioconversion and enzyme technology, such as nanotechnology, metabolic engineering, and multi-omics platforms, increase the perspectives on the waste valorization process. Lignocellulolytic enzymes, pectinases, and proteases are mainly used as catalyzers on agri-food waste treatment, and their production in house might be the trend in near future for agro-industrial countries. Another way to transform the agri-food wastes is via aerobic or anaerobic microbial process from fungal or bacterial cultures; these processes are the key to produce waste enzymes.  相似文献   
3.
Different strategies for the preparation of efficient and robust immobilized biocatalysts are here reviewed. Different physico-chemical approaches are discussed.i.- The stabilization of enzyme by any kind of immobilization on pre-existing porous supports.ii.- The stabilization of enzymes by multipoint covalent attachment on support surfaces.iii.- Additional stabilization of immobilized-stabilized enzyme by physical or chemical modification with polymers.These three strategies can be easily developed when enzymes are immobilized in pre-existing porous supports. In addition to that, these immobilized-stabilized derivatives are optimal to develop enzyme reaction engineering and reactor engineering. Stabilizations ranging between 1000 and 100,000 folds regarding diluted soluble enzymes are here reported.  相似文献   
4.
Employing nanocrystals (NCs) as building blocks of porous aerogel network structures allows the conversion of NC materials into macroscopic solid structures while conserving their unique nanoscopic properties. Understanding the interplay of the network formation and its influence on these properties like size-dependent emission is a key to apply techniques for the fabrication of novel nanocrystal aerogels. In this work, CdSe/CdS dot/rod NCs possessing two different CdSe core sizes were synthesized and converted into porous aerogel network structures. Temperature-dependent steady-state and time-resolved photoluminescence measurements were performed to expand the understanding of the optical and electronic properties of these network structures generated from these two different building blocks and correlate their optical with the structural properties. These investigations reveal the influence of network formation and aerogel production on the network-forming nanocrystals. Based on the two investigated NC building blocks and their aerogel networks, mixed network structures with various ratios of the two building blocks were produced and likewise optically characterized. Since the different building blocks show diverse optical response, this technique presents a straightforward way to color-tune the resulting networks simply by choosing the building block ratio in connection with their quantum yield.  相似文献   
5.
锡二硫族化合物可以通过改变硫和硒的含量来连续调控三元合金材料的带隙、载流子浓度等物理化学性质,在电子和光电子器件应用上具有巨大的潜力。本文采用化学气相沉积(CVD)技术可控地制备了不同元素组分的SnSxSe2-x(x=0,0.2,0.5,0.8,1.0,1.2,1.5,1.8,2.0)单晶纳米片。采用扫描电子显微镜(SEM)、原子力显微镜(AFM)、能量色散X射线光谱(EDS)、透射电子显微镜(TEM)以及拉曼光谱等手段对SnSxSe2-x纳米片进行了综合表征。结果表明本方法成功实现了元素百分比可调的SnSxSe2-x单晶纳米片的可控制备。重点研究了依赖于元素百分比的SnSxSe2-x的拉曼特征谱,实验结果与基于密度泛函理论(DFT)的第一性原理计算得到的SnSxSe2-x的拉曼仿真谱高度吻合,理论计算结果较好地诠释了实验拉曼光谱发生变化的原因。本研究提供了一种元素百分比可调的三元SnSxSe2-x单晶纳米片的可控制备方法,同时对锡二硫族化合物的明确、无损识别提供了方案。  相似文献   
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Pesticide residue in vegetables has been considered as a serious food safety problem across the whole world. This study investigates a novel advanced oxidation process (AOP), namely the coupled free chlorine/ultrasound (FC/US) process for the removal of three typical pesticides from lettuce. The removal efficiencies of dimethoate (DMT), trichlorfon (TCF) and carbofuran (CBF) from lettuce reached 86.7%, 79.8% and 71.3%, respectively by the FC/US process. There existed a synergistic effect in the coupled FC/US process for pesticide removal and the synergistic factors reached 22.3%, 19.0% and 36.4% for DMT, TCF and CBF, respectively. Based on the analysis of mass balance of pesticides, the synergistic effect was probably attributed to the efficient oxidation of pesticides both in vegetables and in water by the generated free radicals and FC. The surface area and surface structure of vegetables strongly affected the removal of pesticides by FC/US. The removal efficiency of DMT increased from 80.9% to 88.1% as solution pH increased from 5.0 to 8.0, and then decreased to 84.1% when solution pH further increased to 9.0. When the ultrasonic frequency changed from 20 to 40 kHz, a remarkable improvement in pesticide removal by FC/US was observed. As the FC concentration increased from 0 to 15 mg L–l, the removal efficiencies of pesticides increased firstly, and then became stagnant when the FC concentration further increased to 25 mg L–l. The pesticide degradation pathways based on the identified intermediates were proposed. The total chlorophyll content was reduced by less than 5% after the FC/US process, indicating a negligible damage to the quality of vegetables. It suggests that the FC/US process is a promising AOP for pesticides removal from vegetables.  相似文献   
8.
牛肝菌作为一种著名的野生食用菌,具有较高的食用价值和经济价值。牛肝菌种类繁多,不易区分,建立一种有效、快速、可信的种类鉴别技术,可为牛肝菌提高品质提供一种方法。本研究采集云南不同地区7种野生牛肝菌共计683株,获取样品中红外光谱和紫外光谱,分析不同种类牛肝菌平均光谱图特征。基于多种预处理组合(SNV+SG,2D+MSC+SNV,1D+MSC+SNV+SG,MSC+2D)的单一光谱数据结合两种特征值提取法(PCA,LVs)构建了偏最小二乘法判别分析与随机森林算法并结合数据融合策略对牛肝菌进行种类鉴别,有一定的创新性。结果表明:(1)中红外光谱和紫外光谱的不同种类牛肝菌平均光谱吸收峰差异较小,吸光度具有细微差异。(2)合适的预处理可提高光谱数据信息,偏最小二乘法判别分析和随机森林算法模型的中红外光谱数据和紫外光谱数据最佳预处理组合为2D+MSC+SNV,SNV+SG,2D+MSC+SNV,1D+MSC+SNV+SG。(3)单一光谱模型中,中红外光谱模型优于紫外光谱模型,中红外光谱最佳预处理组合2D+MSC+SNV的偏最小二乘法判别分析模型正确率训练集99.78%,验证集99.12%;随机森林模型正确率训练集93.20%,验证集99%。(4)数据融合策略提高了分类正确率,低级融合的偏最小二乘法判别分析模型训练集和验证集正确率为100%,99.12%。随机森林模型训练集和验证集正确率为92.32%,99.14%。(5)随机森林算法中级数据融合Latent variable(LVs)正确率为训练集92.76%,验证集96.04%;中级数据融合Principal components analysis(CPA)正确率为训练集97.15%,验证集100%。(6)偏最小二乘法判别分析中级数据融合(LVs)正确率为训练集100%,验证集99.56%;中级数据融合(CPA)训练集和验证集正确率均能达到100%。基于偏最小二乘法判别分析和随机森林算法结合数据融合策略对牛肝菌进行种类鉴别,鉴别效果理想。偏最小二乘法判别分析中级数据融合(CPA)可作为一种低成本高效率的牛肝菌种类鉴别技术。  相似文献   
9.
潮滩沉积物水分的分布在空间和时间上会有很大的变化,含水量的变化会导致沉积物中生源要素含量的变化。因此,实时、准确、快速的监测潮滩沉积物含水量,对了解潮滩的各种特性,掌握潮滩生源要素信息,潮滩资源的开发有着重要意义。采集青岛市东大洋村潮间带的沉积物115份,分别测定新鲜样品、风干4周、风干8周样品的可见近红外光谱和含水量。以db10小波基和sym6小波基对原始光谱进行小波变换,采用偏最小二乘回归建立潮滩沉积物含水量模型。通过10阶小波变换获取原始光谱的低频信息An和高频信息Dn(n=1, 2, …,10),通过原始光谱S分别与高频信息Dn做差值,得到S-Dn,对AnDnS-Dn建立潮滩沉积物含水量模型,并对模型结果进行分析。原始光谱建立模型的R2p为0.841,RMSEP为2.767,RPD值为2.481。通过对db10小波基变换后的低频和高频信息分析,无用信息主要集中在D3D4,去除D3D4建立的含水量模型,相比于原始光谱模型精度有明显提高,R2p为0.878,RMSEP为2.501,RPD值为2.749;通过sym6小波基变换后进行分析,无用信息主要集中在D5D9,去除D5和D9建立含水量模型与原始光谱模型相比,精度也有一定提高,R2p为0.87,RMSEP为2.475,RPD值为2.768。因此通过小波变换对原始光谱划分低频信息和高频信息进行分析,能够有效找到潮滩沉积物含水量的干扰信息,实现特征信息提取,从而建立准确度更高的潮滩沉积物含水量模型,为潮滩沉积物含水量实时、动态监测提供理论基础。  相似文献   
10.
The backbone structure (1,3,4-thiadiazole sulfone derivatives containing amide moiety) of target compounds was determined by modification and optimization of the theoretical design based on commercial chemical carboxin, including molecular docking, scaffold hopping, ligand expansion, etc.In this paper, 23 target compounds were synthesized by the combination of theoretical design and chemical synthesis, and characterized by 1H NMR, 13C NMR and HR MS. Addtionally, the antibacterical bioassay showed that most target compounds performed excellent inhibition on Xanthomonas axonopodis pv. citri (Xac) and Xanthomonas oryzae pv. oryzae (Xoo) in vitro. Meanwhile, molecular docking, molecular dynamics (MD) simulations, and studies on ligand/protein (carboxin/2FBW and 4n/2FBW) complex systems were displayed, and the interaction patterns of ligand/protein complex system were predicted by molecular docking. Besides, the ligand/protein complex system was subject to MD simulation. The analysis of molecular dynamics such as RMSD values suggested that compound/2FBW complexes were stable. MM/GBSA (Molecular mechanics generalized born surface area) dynamic binding affinity results revealed that the active residues (TYR58, HIS26, ARG43, SER39, etc.) played an essential part in the binding of the compound(s) to form a stable low-energy ligand/protein complex, while the MD trajectories demonstrated that the interactions of drugs with 2FBW affected the tertiary structure and increased the stability of protein. Besides, compound 4n also showed control efficacies (curative and protective) on Xoo in vivo, where the curative efficacy was 35.91% and the protective efficacy was 18.97%. In a word, this study showed that 1,3,4-thiadiazole sulfone derivatives containing amide moiety designed based on the structure of carboxin were promising agricultural antibacterial agents, featuring certain stability of binding affinity to proteins and carboxin.  相似文献   
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