甘肃茵陈蒿超临界CO2萃取产物化学成分的差异性分析

采用超临界CO2萃取联合气相色谱-质谱法检测了茵陈蒿Artemisia capillaris萃取产物化学成分,并与水蒸气蒸馏法相比较。结果从超临界CO2萃取提取物成分中确定了76种化合物,从水蒸气蒸馏提取物成分中确定了48种化合物。其中长马鞭草烯酮含量分别为37.35%和26.68%,2种方法测得的成分有所差异。与传统水蒸气蒸馏法相比,采用超临界CO2法更能真实、全面地反映茵陈蒿的化学组分,实验为进一步研究利用茵陈蒿植物资源提供了科学依据。     

不同批次火龙果果实品质分析与评价

【目的】为了探究不同月份采摘的火龙果果实品质之间的差异,【方法】本文以红皮红肉火龙果(‘红冠1号’、‘红冠2号’、‘湛江红肉’、‘49-3’、‘莞华红’、‘红水晶’)、红皮白肉(‘莞华白’、‘红宝石’、‘阳西白肉’)、红皮粉红肉(‘莞华红粉’)和红皮双色肉(‘双色1号’)为材料进行品质分析。【结果】火龙果红肉品种在一年内结果批次比其他品种多,产果期更长。品种间的单个品质指标在批次间有显著差异,综合指标比较发现11个品种的第7、8、9批果综合品质普遍较好,第3、4、5、6批果综合品质普遍稍差。【结论】火龙果一年间的多批次果实在品质上存在显著差异,可通过栽培技术调节来满足市场需求,本研究具有实际的应用价值,可为火龙果的生产提供理论依据。     

葡萄香气物质研究进展

摘要：香气是评价葡萄及其加工品品质的重要指标之一,它构成了葡萄的特征风味。通过了解葡萄果实的香气组成,可以鉴别出葡萄的成熟度及其品种特性,从而为提高葡萄的风味及葡萄的遗传育种工作服务。葡萄果实中香气物质成分有酯、醇、醛、酮、萜类化合物等,这些化合物在葡萄果实中的含量以及它们的性质都对葡萄的香气品质起着决定性的作用。本文介绍了葡萄果实中香气物质成分及存在形式,综述了葡萄果实中多种香气的合成途径及其影响因素。     

2018年国内外蜂王浆研究概况

本文对2018年国内外蜂王浆研究概况进行了综述,对公开发表的65篇中英文文献及专利的地域分布和研究领域进行了统计分析和评述,并重点介绍了蜂王浆在化学组分、质量控制、生物学活性等领域的研究新进展。与2017年相比,2018年蜂王浆的研究热度回升,成果丰硕。     

Feed processing and structural components affect starch digestion dynamics in broiler chickens

1. A 2 × 2 factorial design was used to test the hypothesis that impaired intestinal starch digestibility is attributable to rapid passage of digesta from the gizzard to the intestine, and that, compared to steam pelleting, increasing the availability of starch through extrusion cooking may alleviate the potential negative effect of rapid digesta flow on starch utilisation.

2. Thus, 7-d-old-broiler chickens were distributed to 48 cages and given a wheat-based (WB) pelleted diet containing either coarse oat hulls (OH-Pel) or fine cellulose (Cel-Pel) until d 19 to stimulate divergent development of the gizzard. Thereafter, both groups were further subdivided and challenged with a WB diet containing cellulose in either pelleted (Cel-Pel) or extruded (Cel-Ext) form on d 20 and 22. Either excreta or intestinal contents were collected at time intervals after feeding and analysed for marker and starch.

3. OH-Pel increased gizzard size and holding capacity. No excessively high starch levels (maximum 25 g/kg) were detected in the excreta. However, 8 h feed-deprived birds given Cel-Pel and challenged with Cel-Pel exhibited higher starch excretion and showed large individual variation during the first 135 min of collection.

4. Contrary to the OH-Pel group, more digesta and starch passed to the jejunum at 1 and 2 h and ileum at 2 and 3 h after feeding for birds given Cel-Pel, resulting in lower jejunal and ileal starch digestibility.

5. Increased starch gelatinisation through extrusion processing significantly improved starch digestibility regardless of gizzard function. However, at 1, 2 and 3 h after feeding, more digesta was retained in the foregut of birds given Cel-Ext.

6. The current data showed that starch degradation rate is associated with the flow of digesta which is linked to gizzard development, and that enzymatic hydrolysis of intact starch granules may be limited with more rapid feed passage through the gut.     

桑椹利口酒挥发性成分的气相色谱-质谱分析

桑椹利口酒中的挥发性成分是构成桑椹酒的主体气味因子。采用液-液萃取法提取桑椹利口酒中的挥发性成分,经气相色谱-质谱联机分析(GC-MS),共检测出39个特征峰,鉴定出35种挥发性化合物,占总峰面积的99.3%。其中,质量分数排在前7位的挥发性化合物分别是邻苯二甲酸二丁酯(19.81%)、二十五烷(12.66%)、二十一烷(12.35%)、邻苯二甲酸二异丁酯(10.77%)、4-(1,1-二甲基乙基)-2-甲基苯硫酚(7.26%)、十八炔酸甲酯(5.01%)和十五碳酸(4.65%)。桑椹利口酒挥发性成分中含量较高的酯类化合物形成了酒香的主体气味:呈优雅浓郁果香,且甜中带有淡淡酸果味。     

添加葡萄籽等植物提取物对湘云金鲫生长性能及鱼体成分的影响

选用1344尾平均体重为105 g的健康湘云金鲫鱼种。随机分为4个处理,每个处理2个重复。Ⅰ组投喂基础饲料,Ⅱ、Ⅲ、Ⅳ组在基础饲料中分别添加4 m g/kg的黄酶素及10、20 g/kg葡萄籽等植物提取物。30 d后测定湘云金鲫的生长性能和鱼体成分。结果显示:Ⅲ组与Ⅰ组、Ⅱ组、Ⅳ组比较,增重率分别提高53.77%、45.43%、20.16%(P<0.05),饵料系数分别降低33.06%、31.02%、16.44%(P<0.05);鱼体蛋白质含量显著提高(P>0.05),体脂肪含量无显著变化(P>0.05)。因此,葡萄籽等植物提取物作为饲料添加剂能显著提高湘云金鲫的生长性能、降低饵料系数、改善鱼体品质,本试验条件下,其适宜添加量为10 g/kg。     

四个家鸡群体血液蛋白质多态性分析

本实验采用醋酸纤维薄膜电泳和聚丙烯酰胺凝胶电泳方法测定了新兴黄鸡，矮脚鸡，竹丝鸡，粤黄鸡麻羽系血液蛋白质多态性，观察了以上群体多态性血液蛋白质基因频率的区别，根据基因频率计算出４个群体的平均杂合度，用主分量分析方法对它们之间的区别与联系进行了研究。主要分析表明竹丝鸡与新兴黄鸡的关系相对新兴鸡与矮脚鸡，竹丝鸡与矮脚鸡之间的关系更为疏远：矮脚鸡则与粤黄鸡麻羽系关系密切。     

Regression tree analysis of the relationship between the concentrations of antimicrobial components and the microbiota of normal milk from dairy cows

The purpose of this study was to determine the concentrations of antimicrobial components (immunoglobulin A (IgA), lactoferrin (LF), lingual antimicrobial peptide (LAP), and S100A7) in normal milk and their relation to host factors (Age, somatic cell count (SCC), days in milk, richness, and alpha diversity of the milk microbiota) in dairy cows using multivariate regression tree analyses, and to clarify how the milk microbiota is related to the obtained results. Thirty normal milk samples were collected from a commercial dairy farm in June 2020. The thresholds that predicted the concentration of each antimicrobial component in milk were obtained by regression tree analysis, and the beta-diversity of the milk microbiota composition between groups divided according to each threshold was compared by an analysis of similarities test. The IgA and LF concentrations were mainly predicted by the SCC (177,500 and 70,000 cells/ml, respectively), and the LAP and S100A7 concentrations were predicted by Age (29.667 and 40.3 months, respectively). No relationship was observed between the concentration of IgA, LAP, or S100A7 and the milk microbiota composition between the groups divided by the threshold for prediction, but the milk microbiota composition was significantly different between the groups divided by the threshold for predicting the LF concentration. Our results indicated that the LF concentration in normal milk may be associated with the milk microbiota composition.     

Semiquantitative multi‐analysis of plasma obtained from Romney lambs (Ovis aries) by inductively coupled plasma mass spectrometry,and the classification according to feed type

The establishment of a classification system for domestic animals on consumed feed stuff is thought to be important from both a hygiene and market point of view. We collected plasma samples of Romney lambs (Ovis aries) which were fed one of the following: a herb‐clover mix (n = 10) which included chicory, red clover, white clover and plantain; a plant‐grass mix (n = 10) which included plantain, ryegrass and white clover; or a grass mix (n = 10) which included ryegrass and white clover. A total of 20 elements in plasma samples obtained from the lambs were analyzed using inductively coupled plasma mass spectrometry. The data were then analyzed by principal component analysis. The lambs were divided into three groups on a score plot depending on the different feed conditions. Furthermore, discriminant analyses of the elements were examined, using linear discriminant analysis with forward stepwise regression. This discriminant function correctly classified the samples from each group. The accuracy of classification of each group, as shown by 10‐fold cross‐validation, proved the effectiveness of the established discriminant function. It is concluded that using linear discriminant analysis might be a useful tool for the validation of elements from plasma in lambs grown in different conditions.