基于理性扩展热力学的L-S热声弹性理论框架

本文基于连续介质力学和理性扩展热力学分析流程,将L-S(Lord and Shulman)热弹性理论与声弹性理论相结合,建立L-S热声弹性理论的基本框架,包括运动学、力学与热力学、本构方程与演化方程、基本场方程四部分。在运动学部分,区分了Lagrange描述和Euler描述,以及3种不同的状态和构形,同时针对热声弹性情况定义了两类从自然状态到初始状态的转变过程;在力学与热力学部分,给出了质量守恒定律、动量守恒定律、角动量守恒定律、能量守恒定律以及熵产不等式,从而引出经典不可逆热力学的局限性;在本构方程与演化方程部分,介绍了扩展不可逆热力学原理,并基于理性扩展热力学流程,推导了从自然状态到初始状态、从初始状态到最终状态的热声弹性本构方程与演化方程,将热流作为本构自变量并考虑了热流与应变和温度的相关性;在最后一部分给出了基本场方程的运动方程形式和适用于数值模拟的一阶速度-应力-热流-温度微分方程。

Nonholonomic Theory of Principal-direction Orthonormal Basis for a Layer of Surfaces

In order to carry out tensor analysis in a neighborhood of a reference surface,the principal-direction orthogonal basis accompanying with Lame s coefficients or general curvilinear coordinate systems are widely used.A novel kind of field theory termed as the nonholonomic theory of the Principal-Direction Orthonormal Basis(PDOB)is presented systematically in the present paper,in which the formal Christoffel symbols are related directly to the principal and geodesic curvatures with respect to the principal directions of the surface.Furthermore,a systematic and simple way to determine the curvatures of the surface are presented with some examples.It provides a way to recognize qualitatively the bending property of a surface.

Cloud-Model-Based Feature Engineering to Analyze the Energy-Water Nexus of a Full-Scale Wastewater Treatment Plant

Wastewater treatment plants(WWTPs)are important and energy-intensive municipal infrastructures.High energy consumption and relatively low operating performance are major challenges from the perspective of carbon neutrality.However,water-energy nexus analysis and models for WWTPs have rarely been reported to date.In this study,a cloud-model-based energy consumption analysis(CMECA)of a WWTP was conducted to explore the relationship between influent and energy consumption by clustering its influent’s parameters.The principal component analysis(PCA)and K-means clustering were applied to classify the influent condition using water quality and volume data.The energy consumption of the WWTP is divided into five standard evaluation levels,and its cloud digital characteristics(CDCs)were extracted according to bilateral constraints and golden ratio methods.Our results showed that the energy consumption distribution gradually dispersed and deviated from the Gaussian distribution with decreased water concentration and quantity.The days with high energy efficiency were extracted via the clustering method from the influent category of excessive energy consumption,represented by a compact-type energy consumption distribution curve to identify the influent conditions that affect the steady distribution of energy consumption.The local WWTP has high energy consumption with 0.3613 kW·h·m^(-3)despite low influent concentration and volumes,across four consumption levels from low(I)to relatively high(IV),showing an unsatisfactory operation and management level.The average oxygenation capacity,internal reflux ratio,and external reflux ratio during high energy efficiency days recognized by further clustering were obtained(0.2924-0.3703 kg O_(2)·m^(-3),1.9576-2.4787,and 0.6603-0.8361,respectively),which could be used as a guide for the days with low energy efficiency.Consequently,this study offers a water-energy nexus analysis method to identify influent conditions with operational management anomalies and can be used as an empirical reference for the optimized operation of WWTPs.

Databases of 2D material-substrate interfaces and 2D charged building blocks

Discovery of materials using“bottom-up”or“top-down”approach is of great interest in materials science.Layered materials consisting of two-dimensional(2D)building blocks provide a good platform to explore new materials in this respect.In van der Waals(vdW)layered materials,these building blocks are charge neutral and can be isolated from their bulk phase(top-down),but usually grow on substrate.In ionic layered materials,they are charged and usually cannot exist independently but can serve as motifs to construct new materials(bottom-up).In this paper,we introduce our recently constructed databases for 2D material-substrate interface(2DMSI),and 2D charged building blocks.For 2DMSI database,we systematically build a workflow to predict appropriate substrates and their geometries at substrates,and construct the 2DMSI database.For the 2D charged building block database,1208 entries from bulk material database are identified.Information of crystal structure,valence state,source,dimension and so on is provided for each entry with a json format.We also show its application in designing and searching for new functional layered materials.The 2DMSI database,building block database,and designed layered materials are available in Science Data Bank at https://doi.org/10.57760/sciencedb.j00113.00188.

Hydrogen evolution reaction between small-sized Zr_(n)(n=2–5)clusters and water based on density functional theory

Density functional theory(DFT)is used to calculate the most stable structures of Zr_(n)(n=2-5)clusters as well as the adsorption energy values of Zr_(n)(n=2-5)clusters after adsorbing single water molecule.The results reveal that there is a significant linear relationship between the adsorption energy values and the energy gaps of the Zr_(n)(n=2-5)clusters.Furthermore,the calculations of the reaction paths between Zr_(n)(n=2-5)and single water molecule show that water molecule can react with Zr_(n)(n=2-5)clusters to dissociate,producing hydrogen,and O atoms mix with the clusters to generate Zr_(n)O(n=2-5),all of which are exothermic reactions.According to the released energy,the Zr4 cluster is the most efficient in Zr_(n)(n=2-5)clusters reacting with single water molecule.The natural population analysis(NPA)and density of states(DOS)demonstrate the production of hydrogen and orbital properties in different energy ranges,respectively,jointly forecasting that Zr_(n)O(n=2-5)will probably continue to react with more water molecules.Our findings contribute to better understanding of Zr's chemical reactivity,which can conduce to the development of effective Zr-based catalysts and hydrogen-production methods.

A novel adaptive temporal-spatial information fusion model based on Dempster-Shafer evidence theory

In the field of target recognition based on the temporal-spatial information fusion,evidence the-ory has received extensive attention.To achieve accurate and efficient target recognition by the evi-dence theory,an adaptive temporal-spatial information fusion model is proposed.Firstly,an adaptive evaluation correction mechanism is constructed by the evidence distance and Deng entropy,which realizes the credibility discrimination and adaptive correction of the spatial evidence.Secondly,the credibility decay operator is introduced to obtain the dynamic credibility of temporal evidence.Finally,the sequential combination of temporal-spatial evidences is achieved by Shafer’s discount criterion and Dempster’s combination rule.The simulation results show that the proposed method not only considers the dynamic and sequential characteristics of the temporal-spatial evidences com-bination,but also has a strong conflict information processing capability,which provides a new refer-ence for the field of temporal-spatial information fusion.

Simulation and characteristics analysis of a wavefield in a thermoelastic medium adopting the rotated staggered-grid pseudospectral method and L-S theory

The simulation of wave propagation in high-temperature media requires thermoelastic theory.In this paper,we apply the rotated-staggered-grid pseudo-spectral method(RSG-PSM)to solving thermoelastic governing equations based on L-S theory.A time splitting method is used to solve the stiffness problem of the equations,and we introduce the rotated staggered pseudo-spectral operator and centered pseudo-spectral operator to compute the first-order spatial derivatives and second-order spatial derivatives,respectively.In the case of the heterogeneous-medium model,the Crank-Nicolson explicit method is used instead of the pseudo-spectral method to compute the wavefield.The properties and propagation of the thermal coupled wavefield are discussed,and we compare the simulation results obtained using the pseudo-spectral method,staggered-grid pseudo-spectral method,and RSG-PSM.In the case of an isotropic homogeneous medium,we obtain stable and highly accurate results using the time splitting method combined with the RSG-PSM.However,the algorithm cannot be applied with a large time step when the thermal conductivity changes dramatically,and the algorithm is unstable when the reference temperature has a gradient distribution.The optimal combined application of the mesh generation mode and numerical algorithm is explored,laying a foundation for the extension of these methods to thermoporoelasticity,thermoviscoelasticity,and anisotropy.

乳腺癌前哨淋巴结中Oct-4、VEGF-D、L-selectin水平与前哨淋巴结转移的关系及意义

目的探讨乳腺癌前哨淋巴结中八聚体结合转录因子-4(Oct-4)、血管内皮生长因子-D(VEGF-D)、L-选择素(L-selectin)水平与前哨淋巴结转移(SLNM)的关系及意义。方法选取2020年4月—2022年7月收治的147例乳腺癌,根据SLNM情况分为SLNM组67例、无SLNM组80例,比较2组及不同T分期、区域淋巴结分期患者前哨淋巴结中Oct-4、VEGF-D、L-selectin水平,采用多因素Logistic回归分析寻找乳腺癌SLNM的危险因素,采用决策曲线分析(DCA)和临床影响曲线(CIC)分析前哨淋巴结中Oct-4、VEGF-D、L-selectin评估SLNM的临床效用和与实际情况的符合度。结果SLNM组前哨淋巴结中Oct-4、VEGF-D、L-selectin水平高于无SLNM组(P<0.01)。随着T分期和区域淋巴结分期升高,前哨淋巴结中Oct-4、VEGF-D、L-selectin水平逐渐升高,差异有统计学意义(P<0.05)。前哨淋巴结中Oct-4、VEGF-D、L-selectin均是乳腺癌患者SLNM的独立危险因素(P<0.01);绘制DCA曲线显示,前哨淋巴结中Oct-4、VEGF-D、L-selectin评估乳腺癌患者SLNM均有正向的净获益,临床效用排序:Oct-4、L-selectin、VEGF-D,三者联合较单独指标评估的临床获益度均明显升高;绘制CIC显示,阈概率值>0.6时,三者联合评估SLNM与实际情况具有较高的符合率。结论乳腺癌前哨淋巴结中Oct-4、VEGF-D、L-selectin水平与SLNM及肿瘤分期有关,是患者发生SLNM的一个潜在机制,三者联合评估SLNM具有良好的临床获益度,可作为评估乳腺癌患者SLNM的可靠方法。

L-SeMC对酒精致中枢兴奋小鼠学习记忆和自发活动的影响

目的探讨L-硒-甲基硒代半胱氨酸(L-selenium-methylselenocysteine,L-SeMC)对酒精致中枢兴奋小鼠学习记忆和自发活动的影响。方法将雄性昆明小鼠随机分为对照组、酒精组及L-SeMC低、中和高剂量组,分别灌胃给予L-SeMC 10.4、13.0、39.0μg·kg^(-1),30 min后给予酒精1.5 g·kg^(-1),进行自发活动检测、跳台实验和避暗实验,检测血清ALT和AST、肝脏组织MDA含量及SOD活力。结果10.4、13.0、39.0μg·kg^(-1)L-SeMC可显著减少酒精致中枢兴奋小鼠活动次数和站立次数;10.4μg·kg^(-1)L-SeMC可显著延长跳台实验潜伏期,13.0μg·kg^(-1)L-SeMC可显著延长潜伏期,减少错误次数;10.4μg·kg^(-1)L-SeMC可显著延长避暗实验潜伏期,减少错误次数。3个剂量L-SeMC可降低血清ALT、AST水平,降低肝脏组织MDA含量,增强SOD活性。结论10.4、13.0μg·kg^(-1)L-SeMC可改善酒精致中枢兴奋对小鼠学习记忆功能的降低,抑制酒精引起的中枢兴奋自发活动,其机制可能与改善酒精致中枢兴奋小鼠的肝功能和肝脏氧化损伤有关。

外源添加L-脯氨酸对棉花黄萎病发生及其根际土壤微生物群落的影响

【目的】根系分泌物是植物与土壤微生物进行互作的信号媒介,对于植物病害发生和植株生长均具有重要调控功能。论文旨在明确棉花根系分泌物L-脯氨酸抵御棉花黄萎病发生的微生态机制,揭示L-脯氨酸介导的根际微生物与棉花黄萎病发生的互作关系,为构建生物防治土传病害的有益菌群提供新视角。【方法】通过温室盆栽试验,以外源添加不同浓度的L-脯氨酸(0、50、100、200和400 mmol·L^(-1))为试验处理,采用实时荧光定量PCR(real-time qPCR)和宏基因组测序技术分别测定不同处理的土壤中大丽轮枝菌(Verticillium dahliae)DNA拷贝数量和土壤微生物群落结构及功能,采用主成分分析比较不同处理的根际土壤微生物群落结构,利用冗余分析研究土壤养分因子与微生物群落结构的相关性,利用斯皮尔曼相关分析研究微生物群落结构功能代谢途径的相关性。【结果】与空白对照相比,低浓度(50 mmol·L^(-1))L-脯氨酸处理不能够减轻棉花黄萎病的发生,高浓度(100、200和400 mmol·L^(-1))L-脯氨酸处理的病情指数分别下降22.51%、60.23%和64.23%。qPCR结果表明,L-脯氨酸处理不能够显著降低土壤中大丽轮枝菌拷贝数量。宏基因组测序分析表明,L-脯氨酸处理后细菌多样性Shannon指数显著增加,真菌多样性Shannon指数呈下降趋势。在属水平上,L-脯氨酸处理后类诺卡氏菌属(Nocardioides)、溶杆菌属(Lysobacter)、节杆菌属(Arthrobacter)、Phycicoccus、假单胞菌属(Pseudomonas)和毛霉菌属(Mucor)的相对丰度呈上升趋势。线性判别分析表明,除浓度为100 mmol·L^(-1)的L-脯氨酸外,外源添加L-脯氨酸处理后根际土壤微生物KEGG通路的富集情况发生改变。冗余分析表明,细菌群落组成受pH、电导率、硝态氮、铵态氮和有机质显著影响,而真菌群落组成与铵态氮存在显著相关性。Spearman相关分析表明,细菌的KEGG代谢通路与pH、有机质、铵态氮含量呈负相关关系,而与电导率和硝态氮呈正相关关系;真菌的大部分KEGG代谢通路与土壤养分的相关性较差。【结论】外源添加适量L-脯氨酸通过改变土壤细菌群落结构和功能,增加有益微生物的相对丰度,从而影响棉花黄萎病的发生,但其不能够改变病原菌数量。同时,根际细菌群落组成和功能均与土壤养分存在相关性。

Γ-半群的L-反模糊理想

给出了L-反模糊子半群和L-反模糊Γ-子半群的定义,并研究了Γ-半群的L-反模糊理想的基本性质.进一步得到Γ-半群的L-模糊子集是L-反模糊双Γ-理想的充分必要条件.

湿法热解法制备L-焦谷氨酸的工艺优化研究

采用湿法热解法,以L-谷氨酸为原料,探究L-焦谷氨酸的制备工艺条件。通过单因素和正交试验对反应的条件进行优化,确定了制备L-焦谷氨酸的最佳工艺条件是反应时间4 h、加水量15 g、反应温度150℃,此时所得L-谷氨酸的转化率为97.37%。这种方法是用水作为反应载体,无需催化剂与压力等条件,既节能减排,又产量高,为清洁高效生产L-焦谷氨酸提供了一定的理论指导和实验数据参考。

基于纳米银/聚L-谷氨酸修饰玻碳电极的电化学传感器用于泡菜中亚硝酸钠含量的测定

采用电沉积和电聚合的方式,将纳米银和L-谷氨酸修饰在玻碳电极上,制得纳米银/聚L-谷氨酸修饰玻碳电极(Poly-L-Glu/Nano-Ag/GCE)。以0.2 mol·L^(-1)磷酸盐缓冲溶液(pH 7.0)为支持电解质,以Poly-L-Glu/Nano-Ag/GCE为工作电极,饱和甘汞电极为参比电极,铂电极为辅助电极,在最佳检测条件下,采用循环伏安法进行测定。结果表明:Poly-L-Glu/Nano-Ag/GCE对亚硝酸钠具有较好的选择性,亚硝酸钠的浓度在4.14×10^(-6)~1.35×10^(-3) mol·L^(-1)内与对应的氧化峰电流的绝对值呈线性关系,检出限(3s/k)为4.14×10^(-7) mol·L^(-1),并且该电极的制备方法具有较好的重复性。将PolyL-Glu/Nano-Ag/GCE用于泡菜样品中亚硝酸钠的测定,检出量为1.33×10^(-5) mol·L^(-1),加标回收率为98.9%~103%。

水果及其制品中L-苹果酸和D-苹果酸含量测定

应用高效液相色谱仪,以苹果、梨、橙鲜果和苹果汁、桃罐头、蓝莓果酱、苹果脆片为试材,建立了水果及其制品中L-苹果酸和D-苹果酸含量的检测方法。通过对流动相、色谱柱、检测波长、柱温和流速的筛选和优化,确定了最佳的检测条件。结果表明:苹果酸的2种对映异构体浓度在0.02~1.0 mg/mL具有良好的线性关系;L-苹果酸和D-苹果酸在水果及其制品中添加回收率在81.2%~112.3%,5次平行试验的相对标准偏差均小于10%,反映本标准方法具有良好的准确性,能满足实际检测需要。该方法准确度高、重现性好,适用于水果及其制品中L-苹果酸和D-苹果酸含量的测定。

The Application of Goal-Setting Theory in the Second Classroom Teaching Activities of College English

Interest is the precondition and motivation for people's accomplishment.However,due to the exam-oriented system,millions of parents and teachers neglect the interests of children,and our children nearly forget their interests or hobbies.Based on different interests of children,the thesis analyzes how to apply the goal-setting theory in the second classroom teaching activities of College English,using the example of Lushan College of Guangxi University of Technology.

金纳米“关-开”型荧光探针测定三价铁离子和L-赖氨酸

以N-乙酰-L-半胱氨酸为配体,通过硼氢化钠还原氯金酸合成单层修饰的、水溶性良好的金纳米簇(AuNCs),采用TEM、FTIR、UV-Vis和PL等分析测试技术对AuNCs的形貌特征和光学性质进行了考察。实验结果表明,该AuNCs具有优良的荧光性能,当激发波长为520 nm时,其最大发射波长为620 nm。研究发现,Fe^(3+)能强烈猝灭AuNCs的荧光,而加入L-赖氨酸后,AuNCs的荧光被恢复。AuNCs的荧光猝灭和恢复的程度与Fe^(3+)和L-赖氨酸的浓度在一定范围内呈线性关系,Fe^(3+)和L-赖氨酸的线性范围分别为11.65~163.35μmol·L^(-1)和13.36~266.64μmol·L^(-1),检出限分别为1.65μmol·L^(-1)和1.28μmol·L^(-1)。本研究建立了一种基于AuNCs荧光的“关-开”型传感体系依次用于Fe^(3+)和L-赖氨酸的检测,该方法具有简单、快速、准确度高、灵敏度高、选择性好等优点。

高效液相色谱法对N-乙酰-L-酪氨酸生产工艺的中间物监控分析

为了探讨在生产N-乙酰-L-酪氨酸时,中间物料对产品质量的影响,试验研究了在采用乙酸酐乙酰化生产N-乙酰-L-酪氨酸过程中,对中间产生物料L-酪氨酸、N-乙酰-L-酪氨酸和N,O-二乙酰-L-酪氨酸的中控分析并测定它们的含量。具体方法是:把样品用超纯水稀释100倍后,在色谱柱(C_(18),150mm×4.6mm,5μm)上进行分离,以10mmol·L^(-1)磷酸盐(pH3.0)-甲醇(60:40,V/V)为流动相进行等度洗脱,在波长270nm处进行紫外检测。结果表明:L-酪氨酸、N-乙酰-L-酪氨酸、N,0-二乙酰-L-酪氨酸的质量浓度分别在10~1000mg·L^(-1),10~1000mg·L^(-1),50~1000mg·L^(-1)内与对应的峰面积呈现线性关系,检出限(3S/N)分别为1.1mg L^(-1),1.2mg·L^(-1),14.0mg·L^(-1);对实际样品进行加标回收试验,回收率分别在98.4%~105.0%,98.5%~100.8%,98.9%~100.5%之间,测定值的相对标准偏差RSD(n=6)分别为1.8%、0.7%和0.9%,均小于2.0%。说明所建立的高效液相方法切实可行,重现好,精密度高,可用于乙酰酪氨酸生产工艺中间物的监控分析。

注射用全氟丁烷微球超声造影联合血清αL-岩藻糖苷酶和叉头框蛋白A1及簇集蛋白对小肝癌和肝脏局灶性结节增生的鉴别价值

目的探讨注射用全氟丁烷微球超声造影联合血清αL-岩藻糖苷酶(AFU)、叉头框蛋白A1(FOXA1)、簇集蛋白对小肝癌和肝脏局灶性结节增生(FNH)的鉴别价值。方法选取2021年3月至2024年3月新疆维吾尔自治区人民医院收治的264例小肝癌或FNH可疑患者,根据病理检查结果分为小肝癌组(87例)和FNH组(177例)。采用注射用全氟丁烷微球超声造影检查比较相关参数。采用酶联免疫吸附法检测和比较血清AFU、FOXA1、簇集蛋白表达。绘制受试者工作特征曲线分析血清AFU、FOXA1、簇集蛋白对小肝癌及FNH的诊断价值。采用四格表分析注射用全氟丁烷微球超声造影联合血清AFU、FOXA1、簇集蛋白对小肝癌及FNH的鉴别价值。结果小肝癌组对比剂早于周围到达、对比剂灌注缺损、动脉期增强后扩大>10%占比均高于FNH组,Kupffer相有高增强环占比低于FNH组,差异均有统计学意义(均P<0.05)。小肝癌组血清AFU、FOXA1、簇集蛋白水平均高于FNH组[(64±6)U/L比(36±5)U/L,(18.4±2.5)μg/L比(13.3±2.2)μg/L,(120±16)μg/L比(84±14)μg/L],差异均有统计学意义(t=38.944、16.829、18.925,均P<0.001)。受试者工作特征曲线分析结果显示血清AFU、FOXA1、簇集蛋白诊断小肝癌和FNH的曲线下面积为0.895(95%置信区间:0.857~0.934)、0.900(95%置信区间:0.861~0.940)、0.866(95%置信区间:0.820~0.913),三者联合诊断小肝癌和FNH的曲线下面积为0.979(95%置信区间:0.965~0.994)。注射用全氟丁烷微球超声造影检测小肝癌和FNH的准确度高于AFU、FOXA1、簇集蛋白单独检测,略低于四者联合检测。结论注射用全氟丁烷微球超声造影联合血清AFU、FOXA1、簇集蛋白可提高对小肝癌和FNH的鉴别价值。

血清L-Arg和IL-4水平预测症状性颈动脉狭窄患者再发缺血性脑卒中的价值

目的探讨血清L-精氨酸(L-Arg)和白细胞介素(IL)4水平预测症状性颈动脉狭窄患者再发缺血性脑卒中(IS)的价值。方法选取2018年7月—2021年7月西安交通大学第一附属医院、咸阳市第一人民医院和延安大学咸阳医院症状性颈动脉狭窄患者196例。收集所有患者的临床资料,采用多普勒超声检查颈动脉狭窄程度、颈动脉斑块性状和斑块新生血管密度相关参数[基线强度、峰值强度和时间-强度曲线的曲线下面积(AUCTC)],并检测血清L-Arg和IL-4水平。对所有患者随访12个月,根据是否再发IS分为再发组(35例)和未再发组(161例)。采用Logistic回归分析评估症状性颈动脉狭窄患者再发IS的危险因素。采用Pearson相关分析评估各项指标之间的相关性。采用受试者工作特征(ROC)曲线评价L-Arg和IL-4水平判断症状性颈动脉狭窄患者再发IS的效能。结果再发组峰值强度、AUCTC、颈动脉狭窄率高于未再发组(P<0.001),血清L-Arg和IL-4水平均低于未再发组(P<0.05)。血清L-Arg和IL-4水平与峰值强度、AUCTC和颈动脉狭窄率均呈负相关(P<0.05)。L-Arg降低、IL-4降低、峰值强度增加、AUCTC增加、颈动脉重度狭窄、高血脂和易损斑块均是症状性颈动脉狭窄患者再发IS的独立危险因素(P<0.05)。血清L-Arg、IL-4单项检测和联合检测判断症状性颈动脉狭窄患者再发IS的ROC曲线下面积(AUC)分别为0.803、0.760、0.845。根据L-Arg和IL-4的最佳临界值将所有患者分别分为降低组和未降低组。L-Arg降低组和IL-4降低组易损斑块所占比例分别高于L-Arg未降低组和IL-4未降低组(P<0.001)。结论低水平L-Arg和IL-4与症状性颈动脉狭窄患者再发IS有关,或可作为IS再发的预测指标。

L-抗坏血酸联合超声处理对鲜切芋艿贮藏品质的影响

为探究L-抗坏血酸(L-ascorbic acid,AA)联合超声(ultrasound,US)(AS)处理对鲜切芋艿片贮藏品质的影响,本实验以永定六月红芋为材料,采用质量分数为2%的AA溶液浸泡15 min后,进行US(53 kHz、400 W、10 min)处理,测定贮藏期间鲜切芋艿感官品质及褐变相关酶等指标。结果表明:与对照组相比,AS处理可以降低鲜切芋艿的失水率,维持较高的硬度,延缓褐变指数升高,降低细胞膜通透性,抑制丙二醛含量累积,抑制表面微生物繁殖,从而维持鲜切芋艿较高的感官品质;与对照组相比,贮藏期间AS处理组还能维持较高的过氧化氢酶、超氧化物歧化酶活性,降低过氧化物酶、多酚氧化酶和苯丙氨酸解氨酶活性,抑制酚类物质消耗速率,并减缓淀粉、可溶性蛋白、可溶性固形物等营养物质的流失速率,抑制可溶性醌的积累,延缓风味劣变。上述结果表明,AS处理能够保持鲜切芋艿较好的贮藏品质。