Sorghum extrusion process combined with biofortified sweet potato contributed for high iron bioavailability in Wistar rats

This study aimed to evaluate the effect of sorghum and sweet potato on the bioavailability of iron, gene expression of proteins involved in iron metabolism and the plasma antioxidant capacity in animals fed with whole sorghum grains processed by dry heat or extrusion, combined or not with sweet potato flour with high content of carotenoids. Five experimental groups were tested (n = 7): dry heat sorghum flour (DS); extruded sorghum flour (ES); whole sorghum flour + sweet potato flour (DS + SP); extruded sorghum flour + sweet potato flour (ES + SP) and positive control (FS). The evaluations included: hemoglobin gain, hemoglobin regeneration efficiency, gene expression of divalente metal transporter 1 (DMT-1), duodenal citochroma B (DcytB), ferroportin, hephaestin, transferrin and ferritin and total plasma antioxidant capacity (TAC). The ES + SP group showed higher (p < 0.05) expression of DcytB, ferroportin and hephaestin when compared to the control group. The DS group showed high (p < 0.05) expression of DMT-1 and the ES showed high mRNA expression of transferrin and ferritin. The changes in the sorghum physicochemical properties from extrusion process reduced the iron and phytate content, and increased the gene expression of proteins involved in iron metabolism, improving iron bioavailability. The combination of sweet potato and sorghum flour (dry or extruded) improved the iron capture and total antioxidant capacity, probably due to the presence of β-carotene and antioxidant compounds.     

Combined mutations in five wheat STARCH BRANCHING ENZYME II genes improve resistant starch but affect grain yield and bread-making quality

Increases in the proportion of amylose in the starch of wheat grains result in higher levels of resistant starch, a fermentable dietary fiber associated with human health benefits. The objective of this study was to assess the effect of combined mutations in five STARCH BRANCHING ENZYME II (SBEII) genes on starch composition, grain yield and bread-making quality in two hexaploid wheat varieties. Significantly higher amylose (∼60%) and resistant starch content (10-fold) was detected in the SBEII mutants than in the wild-type controls. Mutant lines showed a significant decrease in total starch (6%), kernel weight (3%) and total grain yield (6%). Effects of the mutations in bread-making quality included increases in grain hardness, starch damage, water absorption and flour protein content; and reductions in flour extraction, farinograph development and stability times, starch viscosity, and loaf volume. Several traits showed significant interactions between genotypes, varieties, and environments, suggesting that some of the negative impacts of the combined SBEII mutations can be ameliorated by adequate selection of genetic background and growing location. The deployment of wheat varieties with increased resistant starch will likely require economic incentives to compensate growers and millers for the significant reductions detected in grain and flour yields.     

Kernel vitreousness and protein content: Relationship,interaction and synergistic effects on durum wheat quality

Four sets of durum samples were used in this study to further understand the interrelationships among hard vitreous kernels (HVK), protein content, and pigment concentration, with a focus on the interaction and synergistic effects of protein content and vitreousness on durum quality. HVK level increases with higher protein content in the range of 9.5–12.5%, but this relationship is less evident in durum samples with high protein content (12.5–14.5%). Both protein content and kernel vitreousness can significantly affect durum milling quality. White starchy kernels (WSK) in low protein durum have a very detrimental impact on milling and pasta processing quality, but high protein content can mitigate the adverse impact of WSK on durum quality. Although protein content plays a dominant role, higher HVK might contribute positively to pasta firmness. There was no significant difference in yellow pigment content between HVK and WSK. However, pigment loss from semolina to dough was higher for WSK than HVK. Despite the difference in protein content, HVK and WSK have little difference in gluten strength. The monomeric protein was preferentially accumulated in HVK. The glutenin proteins of HVK and WSK were similar in the ratios of 1Bx/1By and HMW/LMW-GS.     

脉冲电流烧结Al2O3颗粒的广义热弹性分析

脉冲电流烧结过程的颈部形成机理,特别是非导电粉末材料,是需要着重研究的核心问题。以非导电Al₂O₃粉末为研究对象,引入L-S（Lord and Shulman）型广义热弹性方程,初步探究烧结初期非导电粉末颈部局部高温形成以及快速烧结机理。利用Comsol Multiphysics模拟得到脉冲电流烧结过程中颗粒内部的温度场和应力场分布以及烧结颈部的化学势和空位浓度变化规律。数值结果表明,热以波的形式在烧结颈部产生叠加,形成局部高温。化学势变化表明：烧结初期表面扩散占主要作用,空位浓度差的突变使烧结颈部产生局部空位浓度梯度,促进烧结颈长过程,缩短烧结时间。     

高温下钢管约束型钢混凝土柱的受力性能

火灾下无防火保护的结构构件温度会迅速上升,从而造成钢材和混凝土的强度明显下降。为了研究火灾下钢管约束型钢混凝土柱的受力性能,考虑火灾下钢管约束型钢混凝土柱的不均匀温度分布及温度对材料力学性能的影响,提出了火灾下受轴心荷载作用的钢管约束型钢混凝土柱承载力的计算方法。利用有限元软件ABAQUS对提出的计算方法进行了验证,结果吻合较好。进而采用该计算方法对影响高温下承载力的参数进行了分析,研究表明：随着构件截面尺寸的增加以及混凝土强度和钢材强度的提高,构件的承载力逐渐增加,而钢管壁厚的改变对承载力并无太大影响。利用有限元软件ABAQUS分析了荷载比、构件尺寸、钢管壁厚等因素对构件耐火极限的影响,发现耐火极限随着荷载比和钢管壁厚的增加而减小,随着构件尺寸的增加而增大。     

无核白葡萄多酚氧化酶基因的克隆与序列分析

为获得无核白葡萄中多酚氧化酶(PPO)的基因序列,以无核白葡萄果实为试材,进行基因同源克隆,得到多酚氧化酶基因CDS全长序列,其完整的编码框为1 824 bp,编码607个氨基酸(GenBank登陆号为KP271928);系统进化分析可知,其与葡萄科植物PPO基因同源性最高;生物信息学方法发现该蛋白分子量为67 392.44 Da,等电点为6.42,具典型的酪氨酸家族结构域,无信号肽结构,但有一个跨膜结构域,为亲水性蛋白;二级结构预测发现,PPO具有CuA与CuB两个结合区,分别嵌入蛋白活性腔中。该研究为进一步从分子水平探讨多酚氧化酶与褐变的关系奠定理论基础。     

响应面法优化超声波辅助提取鲜切荸荠黄化组织中黄酮类物质工艺研究

以鲜切荸荠为原料,在单因素试验基础上,通过响应面分析法对鲜切荸荠黄化组织中黄酮类物质的提取条件进行优化。结果表明,超声波辅助提取鲜切荸荠黄化组织中黄酮类物质的最佳工艺条件为:液料比30∶1(m L/g),乙醇体积分数60%,提取温度61℃,提取时间16 min,在该条件下得到黄酮提取量为0.539 4 mg·g~(-1),该结果与预测值0.542 1 mg·g~(-1)接近,表明所建模型与实际情况拟合较好,该优化条件可行。     

微波对毛酸浆籽油提取效率的影响及其脂肪酸分析

以毛酸浆种子为原料,研究索氏微波提取法对毛酸浆籽油提取效率的影响,并以甲酯化脂肪酸为标准品,采用气相色谱法对毛酸浆籽油脂肪酸成分进行分析,通过与标准品比对出峰时间确定试样脂肪酸成分,使用面积归一法确定试样中各脂肪酸含量。结果表明,与普通热风干燥相比,微波干燥法能够提高毛酸浆籽油的提取效率;利用气相色谱法对毛酸浆籽油进行脂肪酸分析,共检测出8种脂肪酸,分别为:肉豆蔻酸1.3%,棕榈酸10.3%,硬脂酸5.3%,油酸14.3%,亚油酸62.7%,亚麻酸4.0%,花生酸1.1%,二十二烷酸1.0%。其中不饱和脂肪酸相对含量占81.0%,说明毛酸浆籽油具有较高的营养价值,开发前景广阔。     

基于多特征降维的植物叶片识别方法

植物种类识别方法主要是根据叶片低维特征进行自动化鉴定。针对低维特征不能全面描述叶片信息,识别准确率低的问题,提出一种基于多特征降维的植物叶片识别方法。首先通过数字图像处理技术对植物叶片彩色样本图像进行预处理,获得去除颜色、虫洞、叶柄和背景的叶片二值图像、灰度图像和纹理图像。然后对二值图像提取几何特征和结构特征,对灰度图像提取Hu不变矩特征、灰度共生矩阵特征、局部二值模式特征和Gabor特征,对纹理图像提取分形维数,共得到2 183维特征参数。再采用主成分分析与线性评判分析相结合的方法对叶片多特征进行特征降维,将叶片高维特征数据降到低维空间。降维后的训练样本特征数据使用支持向量机分类器进行训练。试验结果表明:使用训练后的支持向量机分类器对Flavia数据库和ICL数据库的测试叶片样本进行分类识别,平均正确识别率分别为92.52%、89.97%,有效提高了植物叶片识别的正确率。     

Tripod并联机器人工作空间完全解析与实验验证

针对Tripod并联机器人工作空间一般用数值搜索方法研究,难以给出边界曲面准确表达的问题,提出一种曲面扫略分析与机械结构形位分析结合的方法来解析Tripod并联机器人的工作空间。以正逆解的算法为基础,得到并联机器人各单开链扫略空间范围及其包络曲面表达式,用三维软件布尔运算得出各支链公共的工作空间,在考虑虎克铰约束和杆件干涉的情况下,再依据机械结构形位分析得到机器人实际工作空间及边界曲面表达式,并对工作空间的奇异性进行了分析。通过三坐标测量仪器测出实际的工作空间与理论分析解析出来的空间进行对比来验证解析方法的正确性,从而为机器人机械结构参数设计和工作空间计算奠定基础。