基于混合式教学和形成性评价的仪器分析实验教学改革与实践

在仪器分析实验课程中进行了基于混合式教学和形成性评价的实验教学改革。结果表明：教改组学生的自主学习能力、学习兴趣和动手能力都得到了提高;教改组学生的课程成绩总体优于对照组,t检验（p<0.05）说明2个组的成绩具有显著性差异。可见混合式教学模式和形成性评价体系有利于拓展学习空间,激发学生学习兴趣,培养学生自主学习能力,全面、客观评价学习效果。     

翻转课堂在仪器分析教学中的应用

针对当前仪器分析课程普遍存在理论知识抽象、枯燥、难以理解,学生学习难度较大、学习积极性不高的问题,提出将翻转课堂的教学模式应用于仪器分析教学中。该教学模式通过学生课前预习、课中完成知识吸收与内化、课后教师布置练习作业或者拓展性学习任务,线上与线下学生与教师交流互动的方式,提高了学生学习该课程的兴趣,培养了学生自主学习、独立思考及创新的能力。同时,该教学模式适用于多民族学生的共同学习。     

压缩学时背景下无机化学教学改革

在无机化学教学学时压缩的背景下,综合考虑我国中学化学课程改革及目前无机化学教学所面临的问题,适度调整、拓宽和深化无机化学教学内容,并基于OBE理念,采用"模块化"教学、"分层化"教学及"专题研讨式"教学,培养学生自主学习能力、解决实际问题的能力以及创新能力,形成"知识-能力"一体化的教育理念。     

建构主义理论应用于普通化学的教学实践*——以“蒸气压下降”的教学为例

在“蒸气压下降”的教学中以建构主义理论为指导,采用先具象后抽象的知识呈现方式、结合现实情境扩大知识的应用、纵向联系新旧知识的教学设计,巩固了学科知识,激发了学习兴趣,培养了学生分析问题和灵活运用理论知识解决实际问题的能力。     

毛细管电色谱教学中的“科研反哺”*

在毛细管电色谱(capillary electrochromatography, CEC)章节的教学中,结合CEC的最新进展和科研工作案例,通过运用举实例讲应用、列表对比、组织学生开展实验等多元教学模式,更深入、细致地剖析不同类型CEC的原理、特点和应用。用“科研反哺教学”,提高学生学习兴趣,加深其对知识的理解和掌握,培养学生解决实际问题的能力。     

TEP教学模式在分析化学教学中的应用——以“酸碱滴定分析法”教学为例

为了实现高等教育培养应用型和创新型人才目标,需要改变目前分析化学教学中“重知识和技能传授、轻能力培养和价值引领”的教学现状,提出“理论知识(Theory)–自主实验(Experiment)–实践应用(Practice)”融合教学模式(简称TEP)。TEP教学模式在实施过程中,通过“任务”这条主线将三个教学环节紧密相连,构建一个递进式教学体系。在理论教学中采用“任务和问题驱动式”教学,激起学生学习的主动性和积极性;在实验教学中要求学生自主完成相对简单的实验任务,培养学生自主学习和思考的能力;在实践应用环节,要求学生独立完成有意义有难度的任务,培养学生的应用能力和创新能力。在每个教学环节中巧妙地融入思政内容,实现“立德”与“树人”的有机统一。为了使TEP模式有效实施,还需做好课程的教学评价。     

“一体三翼”教学模式在工科无机化学教学中的应用与实践*

为适应当前复合型人才培养需求和提高学生自主学习能力和创新意识,在对大学一年级新生进行无机化学教学时需坚持以学生为主体的教学理念,并努力同时提高他们的思想政治素质、理论联系实际能力和科学研究素养。为此,提出“一体三翼”教学模式。然而,大多数工科院校无机化学课程的授课学时有所压缩,这对任课教师来讲是一种巨大挑战。通过“线上-线下”混合式教学解决学时不足问题,并通过学生课程参与度、学生学习成绩及教学反思等形式检验“一体三翼”教学模式的教学实践成效。     

基于翻转课堂-PBL的混合式“金课”教学*——以“药物分析”为例

以创新应用能力及岗位需求重构课程标准,更新教学方法和教学手段,从教学设计、教学实施、教学评价、教学效果等4个方面系统地探索了基于翻转课堂-PBL教学的药物分析课程教学模式建设与应用,旨在形成多元化、多层次的药物分析教学新体系,将“以教师教为主”的教学模式转变为“以学生学为主”,让学生化“被动”为“主动”学习,锻炼学生自主学习能力,增强学生团队协作及分析解决问题的能力,启发学生创新应用能力。     

问题引导法提高学生学习主动性的探索与实践*——以大学化学混合式教学为例

建设具有创新性、高阶性和挑战度的“金课”,是当代创新型人才培养的必然要求。大学化学是本校非化学类理工科专业基础课,相比于数学和物理,学生重视不足,导致教学效果不理想。为了解决这一问题,采取以学生为主的混合式教学模式,通过设置基础性、应用性及创新性问题,引导学生分层次解决,提高学生参与主动性。所设置的应用性问题包括科技前沿、专业相关、社会热点等,以增加内容的深度和广度,激发学生探索的兴趣。通过实验方案设计及实验检验培养学生的创新思维。采取累加式进行教学效果评价,实践表明该混合式教学模式能显著提高学生自主学习能力和兴趣,提高教学效果。     

“互联网+”背景下混合式教学在“先进纤维材料”课程中的应用*

“先进纤维材料”是我校高分子材料与工程专业的一门专业课程,在培养高分子材料专业技术人才方面起着重要的作用。在互联网高度发达的今天,将基于Canvas教学平台的混合式教学引入“先进纤维材料”教学过程中,把常规的面对面课堂教学与网络教学的优势充分结合,激发学生对专业知识的学习兴趣,加深对所学内容的理解和记忆。同时,为了将教学内容变得更生动形象,针对每一章节重难点录制微课并在其中插入更加直观的视频动画,上传至Canvas教学平台,供学生在课前对所学内容进行自主学习,提高学生自主学习和个性化学习能力。     

Chemometric and trend analysis of water quality of the South Chennai lakes: an integrated environmental study

In order to bring out the nature of the factors influencing lake water composition, multivariate statistical analysis and trend analysis were performed based on the hydrochemical data of the study area, namely, South Chennai. Change in land use pattern and settlements along the banks of the lakes alters the quality and quantity of the surface water. In the present study, the R‐mode factor analysis and cluster analysis were applied to the geochemical parameters of the water to identify the factors affecting the chemical composition of the lake water. Dendograms of both the seasons give three major clusters, reflecting the groups of unpolluted to moderately polluted, polluted, and heavily polluted stations. The movement of stations from one cluster to another clearly brings out the seasonal variation in the chemical composition of the lake water. The complex hydrochemical data of the surface water were interpreted by condensing them into three major factors. Factor score analysis was used successfully to delineate the stations under study and the role of the contributing factors, and the nature of factors responsible for the variation in chemical composition of the water has been clearly brought out. Results of trend analysis using ArcGIS clearly indicate that the trend in water quality is deteriorating at a faster rate in the eastern part of the study area. It is understood that although natural shifts probably can account for some of the variation, it is most likely that human activities play a major role in affecting the water quality on a regional scale. Copyright © 2014 John Wiley & Sons, Ltd.     

Impact of alkali treatment on physico-chemical,thermal, structural and tensile properties of Carica papaya bark fibers

This study aims to examine the effect of sodium hydroxide (NaOH) treatment on the physico-chemical properties, structure, thermal, tensile and surface topography of Carica papaya fibers (CPFs). The surface of raw CPFs was modified by soaking with 5% NaOH solution for 15, 30, 45, 60, 75 and 90?min. The results of thermo-gravimetric analysis revealed that the optimum treatment time for alkali treatment was 60?min. It was found that the alkali treatment improved the properties of the CPFs. The results of TGA, FT-IR, XRD and AFM suggest that the treated CPF is a suitable alternative as reinforcement in polymer composites.     

On-line fermentation gas analysis: Error analysis and application of mass spectrometry

On-line fermentation gas analysis is of general interest because it permits the determination of metabolic rates in almost any biological process using living organisms. The consumption and production of gases (O₂, CO₂, CH₄, etc.) and volatile compounds may be determined without causing any risk of infection. Elemental balancing permits the determination of other metabolic rates if the stoichiometry is known. This was studied with the production of poly-β-hydroxybutyrate (PHB) by Alcaligenes latus. Estimations were based on the measurement of gas partial pressure and flow-rates, pH and alkali consumption rate. Experiments with a small quadrupole mass spectrometer showed unacceptable error propagation. Therefore, dynamic error propagation for all rates was studied using simulation. It was found that, for example, a 1% relative offset-calibration error for oxygen can result in an error in PHB estimation of > 50%. It is suggested that this culture is used in combination with elemental balancing for thorough tests of the accuracy of on-line gas analysis equipment. An on-line process gas analyser based on a quadrupole mass spectrometer (Balzers PGM 407) gave the following precision values (abs. vol.?%) during cultivation of Bacillus subtilis: nitrogen (m/z 14), 0.024; oxygen (m/z 32), 0.020; argon (m/z 40), 0.0011; and carbon dioxide (m/z 44), 0.0034. These values, combined with automatic recalibration, would be sufficient for reasonable estimation of PHB, biomass and substrates.     

Determination of rank by augmentation (DRAUG)

Determining the rank of a chemical matrix is the first step in many multivariate, chemometric studies. Rank is defined as the minimum number of linearly independent factors after deletion of factors that contribute to random, nonlinear, uncorrelated errors. Adding a matrix of rank 1 to a data matrix not only increases the rank by one unit but also perturbs the primary factor axes, having little effect on the secondary axes associated with the random errors in the measurements. The primary rank of a data matrix can be determined by comparing the residual variances obtained from principal component analysis (PCA) of the original data matrix to those obtained from an augmented matrix. The ratio of the residual variances between adjacent factor levels represents a Fisher ratio that can be used to distinguish the primary factors (chemical as well as instrumental factors) from the secondary factors (experimental errors). The results gleaned from model studies as well as those from experimental studies are used to illustrate the efficacy of the proposed methodology. The method is independent of the nature of the error distribution. Limitations and precautions are discussed. An algorithm, written in MATLAB format, is included. Copyright © 2011 John Wiley & Sons, Ltd.     

新材料的发展与分析化学

文章介绍了新材料的重要性及发展方向,分析化学在新材料研制中起着耳目的作用,另一方面新材料也为分析化学的进展提供了课题与条件。微量分析、微区分析、表面分析是此领域中的重点。在未来的发展中,分析化学在材料的发展中的地位不会改变,并期待着分析灵敏度与空间分辩率的进一步提高。     

用局部拟合主成分回归计算光度分析法测定黄连生物碱

针对具有样本数据非无匀分布和非线性特点的光度分析问题，提聘种局部拟合 主成分回归法，用于中药多组分计算测定。该方法根据待测样本与各已知样本光度 分析数据的欧式距离确定相应的权值，将部分权值较大的样本组成校正集，并用分 段线性拟合算法建立待测样本的校正预测模型，将其用于分析黄连的药根碱、巴巴 亭和小檗碱等三种生物碱，所得预测均方根误差分别为0.023,0.0400和0.052，优 于主成分回归法、偏最小二乘法以及人工神经元网络法所得结果。这表明，本方法 用于中药光度分析能获得较为准确的计算分析结果。     

高效液相色谱荧光检测法测定福建乌龙茶中痕量硒

本文研究了2,3-二氨基萘(DAN)与Se(Ⅳ)反应,生成4.5-苯并苤硒脑(NSD),利用环已烷萃取反应生成的络合物。将有机相注射入填充有μ一Bondapak C_(18)固定相的色谱柱,以环已烷-四氢呋喃(90:10)为流动相,流速为1.0 mL/min,进行HPLC一荧光检测。测定了福建乌龙茶中的微量硒。方法的精密度和回收度均好。检测限达0.12 ng。     

双嘧达莫的荧光光谱分析法

以荧光光谱法研究了双嘧达莫在溴化十六烷基三甲基铵(CTMAB)、β_环糊精 (β_CD)、十二烷基硫酸钠 (SDS)等介质体系中的荧光性质 ,发现CTMAB、SDS和 β_CD对双嘧达莫均有不同程度的荧光增敏作用 ,提出了在CTMAB、SDS和 β_CD水溶液中测定双嘧达莫的荧光光谱分析法 ;该法灵敏度高 ,检出限低(3.20×10 -9mol/L) ,在6.40×10 -8～3.20×10 -6mol/L范围内荧光强度与双嘧达莫的浓度呈良好线性关系     

铁与氯气反应的产物分析

应用高温传感器测定了铁在氯气中燃烧时的温度;基于实际反应温度、压强与物质状态,对铁与氯气的相关反应进行了热力学分析,发现FeCl₃(Fe₂Cl₆)是铁与氯气反应过程中绝大多数情况下的热力学稳定产物,而铁与氯气反应生成FeCl₂的条件则较为苛刻;反应的动力学分析,FeCl₂和FeCl₃的结构分析,也表明铁与氯气反应生成FeCl₃更加有利。