复合酶耦合酶解酸处理后玉米秸秆的研究

以玉米秸秆为研究对象,经过2%硫酸预处理后,利用果胶酶、β-葡萄糖苷酶、纤维素酶三种酶协同酶解,以提高玉米秸秆的酶解产糖量。结果表明:当酶解时间为48h,果胶酶、β-葡萄糖苷酶、纤维素酶分别为45U/mL、30U/mL、60U/mL时,葡萄糖、木糖和酶水解得率分别为67.83%、3.25%、73.65%,相比纤维素酶单一酶解的葡萄糖、木糖和酶水解得率分别提高了65.04%、20.82%、65.06%。分步糖化发酵5天后,相比单一酶解发酵乙醇含量提高了72.5%。说明利用三种酶复合处理,能明显提高酶解产糖量。研究结果为玉米秸秆转化为可发酵糖技术的研究提供重要参考。     

高效液相色谱串联质谱法测定玉米及植株中胺唑草酮及其代谢物

建立了同时测定玉米及玉米植株中胺唑草酮及其两个代谢物残留量的液相色谱串联质谱分析方法.样品采用乙腈提取,石墨化炭黑(GCB)和C18分散固相萃取净化,以甲醇-5 mmol/L乙酸铵溶液为流动相,液相色谱串联质谱分析测定.在1 ～ 1000 μg/L的浓度范围内,3种目标化合物的响应值与浓度呈良好的线性关系,在3个添加水平下,玉米籽粒及植株中胺唑草酮及其代谢物的平均添加回收率为85％～111％,相对标准偏差(RSD)为2.3％～11.0％.方法定量限(LOQ)为5μg/kg.采用本方法监测15例市售玉米样品,样品中目标物均低于方法检出限.本方法简单,快速,灵敏度高,可完全满足国外胺唑草酮相关现行法规的限量要求.     

NaN_3对玉米萌发过程中超弱光子辐射的影响

为了解读植物种子萌发过程中超弱光子辐射信息的生物学意义,采用呼吸抑制剂NaN3处理萌发玉米种子,跟踪测量和分析了玉米种子萌发过程中超弱光子辐射中自发光子辐射和外界光诱导的延迟光子辐射的变化规律,同时研究了萌发玉米种子鲜质量的变化.结果发现,NaN3同步抑制了萌发玉米自发光子辐射和鲜质量的增长,造成萌发玉米延迟光子辐射的初始光子数和延迟光子辐射积分强度大幅度降低,相干时间减小.机理分析表明,NaN3对呼吸代谢电子传递链的抑制造成的自由基反应减弱是萌发玉米自发光子辐射减小的原因,自发光子辐射强度可以作为玉米萌发状态的信号,延迟光子辐射动力学参数的大小可以表征萌发玉米呼吸代谢的强弱,相干时间是种子细胞组织序性的量度,通过对萌发种子超弱光子辐射的采集和分析可以实现对萌发种子细胞代谢和功能状态变化的灵敏和无损检测.     

常压下玉米秸秆液化工艺的优化及其生物油分析

随着化石能源的日益短缺，可再生木质生物质资源的利用越来越受到重视，常压液化技术是生物质资源高效利用的主要方式之一。利用单因素方法，探讨液化温度、复配液化剂二甘醇（DEG）与1,2-丙二醇（PG）的混合比、液固比、催化剂磷酸的用量、反应时间等因素对玉米秸秆液化得率的影响，以便优化其液化工艺；然后采用热重分析仪（TGA）、气相色谱-质谱技术（GC-MS）和核磁共振（NMR）技术对此优化条件下所得生物油的挥发降解特性和主要组成成分进行了检测探讨。分析表明，玉米秸秆液化时优化工艺参数为：液化温度170 ℃，液化剂DEG与PG混合比1∶2，液固比5∶1，H₃PO₄用量10%，反应时间45 min；此时玉米秸秆液化得率高至99.50%。TGA结果表明，此条件下所得生物油含有80%以上碳数小于25的化合物，热解后最终残炭量约为15%。GC-MS表明，可以检测出此生物油中含有的39种有机物，其中，醇类有机物的含量最多，酚类有机物的含量次之，它们相对含量依次是70.70%和25.63%，其还含有一定量的有机酸（2.80%）、醚类（0.64%）、酯类（0.10%）和酮类（0.13%）等有机物；其组分十分复杂，高含氧量，稳定性较差。1H-和13C-NMR分析表明，不同化学位移δ与生物油中不同类型的质子和碳原子相对应，明确生物油中不同类型H和C的分布，有利于对其分子结构进行深入探讨。这些研究为非木材生物质高效液化条件的选择及液化产物制备化学品和生物燃油给予理论基础与应用支持，促进了生物质资源的有效转化利用及其生物质基产品的开发。     

Microextraction by packed sorbent liquid chromatography with time‐of‐flight mass spectrometry of triazines employing a molecularly imprinted polymer†

Molecularly imprinted polymers for the determination of triazines were synthesized by precipitation using atrazine as template, methacrylic acid as functional monomer, ethylene glycol dimethacrylate as crosslinker, and 2,2′‐azobisisobutrynitrile as initiator. The polymers were characterized by infrared spectroscopy and scanning electron microscopy and packed in a device for microextraction by packed sorbent aiming for the preconcentration/cleanup of herbicides, such as atrazine, simazine, simetryn, ametryn, and terbutryn in corn samples. Liquid chromatography coupled with time‐of‐flight mass spectrometry was used for the separation and determination of the herbicides. The selectivity coefficient of molecularly imprinted polymers was compared with that of nonimprinted polymer for the binary mixtures of atrazine/propanil and atrazine/picloram, and the values obtained were 15.6 and 2.96, respectively. The analytical curve ranged from 10 to 80 μg/kg (r = 0.989) and the limits of detection and quantification in the corn matrices were 3.3 and 10 μg/kg, respectively. Intra‐ and interday precisions were < 14.8% and accuracy was better than 90.9% for all herbicides. Polymer synthesis was successfully applied to the cleanup and preconcentration of triazines from fortified corn samples with 91.1–109.1% of recovery.     

Application of off-line pyrolysis with dynamic solid-phase microextraction to the GC–MS analysis of biomass pyrolysis products

Pyrolysis coupled with dynamic solid-phase micro extraction (Py-SPME) followed by GC–MS analysis was applied to the determination of volatile compounds evolved by a micro-scale off-line pyrolysis apparatus, in order to extend the information affordable with this type of analytical equipment. The Py-SPME method with a carboxen/PDMS fiber working in the retracted mode was tested on four biomass samples (switchgrass, sweet sorghum, corn stalk and poplar) for qualitative analysis of semi-volatile pyrolysis products and quantitative determination of main volatiles (C₁–C₄) pyrolysis products. The developed procedure allowed capturing and analysis of all GC analyzable compounds, without memory effects and with good peak resolution also for early GC-eluting compounds. Twelve main volatile pyrolysis products, including hydroxyacetaldehyde and acetic acid, were successfully quantified; in spite of the intrinsic variability introduced by dynamic SPME sampling, results were relatively accurate and consistent with literature data on bench pyrolysis reactors.     

An economic and environmental comparison of a biochemical and a thermochemical lignocellulosic ethanol conversion processes

With the world’s focus on rapidly deploying second generation biofuels technologies, there exists today a good deal of interest in how yields, economics, and environmental impacts of the various conversion processes of lignocellulosic biomass to transportation fuels compare. Although there is a good deal of information regarding these conversion processes, this information is typically very difficult to use on a comparison basis because different underlying assumptions, such as feedstock costs, plant size, co-product credits or assumed state of technology, have been utilized. In this study, a rigorous comparison of different biomass to transportation fuels conversion processes was performed with standard underlying economic and environmental assumptions so that exact comparisons can be made. This study looked at promising second-generation conversion processes utilizing biochemical and thermochemical gasification technologies on both a current and an achievable state of technology in 2012. The fundamental finding of this study is that although the biochemical and thermochemical processes to ethanol analyzed have their individual strengths and weaknesses, the two processes have very comparable yields, economics, and environmental impacts. Hence, this study concludes that based on this analysis there is not a distinct economic or environmental impact difference between biochemical and thermochemical gasification processes for second generation ethanol production.     

非离子型表面活性剂辅助酶水解玉米秸杆蒸爆渣

研究纤维素酶对蒸汽爆破预处理玉米秸杆的水解过程. 实验结果表明,玉米秸杆蒸爆渣中的木质素对纤维素酶存在非生产性吸附,降低了纤维素酶对玉米秸杆蒸爆渣的水解率;通过添加非离子型表面活性剂PEG 6000,减少纤维素酶的非生产性吸附,改善纤维素酶对玉米秸杆蒸爆渣的水解性能;在pH值为4.8,温度为50℃,PEG 6000浓度为3.5g/L的优化条件下,纤维素酶水解玉米秸杆蒸爆渣48h,还原糖水解率和葡萄糖水解率分别为83.61%和64.15%.     

Multimode-ultrasound and microwave assisted natural ternary deep eutectic solvent sequential pretreatments for corn straw biomass deconstruction under mild conditions

Mild and effective pretreatments are essential to deconstruct lignocellulosic biomass so as to reuse cellulose content for value-added products. In this study, sequential multimode-ultrasound and microwave with natural ternary deep eutectic solvent (NATDES) pretreatments were used to deconstruct corn straw and optimized factors such as NATDES, ultrasonic, and microwave parameters. Results indicated that the ultrasound-NATDES or microwave-NATDES pretreatment could remove 37.86% and 52.36% lignin, respectively. When using sequential multimode-ultrasound and microwave assisted NATDES pretreatment, the delignification efficiency increased to 61.50%, and the cellulose content increased from 34.70% to 76.08%. In addition, the delignification of sequential multimode-ultrasound and microwave assisted NATDES pretreatment (under the mild conditions of microwave heating at 60 °C and 60 min) increased to 57.39%, and the cellulose content increased to 59.98%, too. This highlighted the effect of the combined ultrasound and microwave technology. Finally, the microstructural changes of mercury intrusion porosimeters, scanning electron microscopy, thermogravimetric, X-ray diffraction and Fourier transform mid-infrared spectroscopy were conducted to confirm the effectiveness of this method to deconstruct corn straw. A mechanism of the deconstruction of corn straw biomass in NATDES with the assistance of the sequential multimode-ultrasound and microwave heating was proposed. This research could open a window for future use of biomass energy by deconstructing lignocellulosic biomasses using environmentally friendly pretreatment methods.     

T1 THEOREM FOR BESOV SPACES ON NONHOMOGENEOUS SPACES

Suppose μ is a Radon measure on Rd, which may be non doubling. The only condition assumed on μ is a growth condition, namely, there is a constant Co ＞ 0 such that for all x ∈ supp(μ) and r ＞ 0,μ(B(x,r)) ≤ Corn, where 0 ＜ n ≤ d. We prove T1 theorem for non doubling measures with weak kernel conditions. Our approach yields new results for kernels satisfying weakened regularity conditions, while recovering previously known Tolsa's results. We also prove T1 theorem for Besov spaces on nonhomogeneous spaces with weak kernel conditions given in [7].