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Dairy Industry: Food and Beverages are the major industries for the improvement of health, daily use of life, reduction in financial crises, poverty and hunger in the world 乳制品行业:食品和饮料是世界上改善健康、日常生活、减少金融危机、贫困和饥饿的主要行业
Pub Date : 2021-01-01 DOI: 10.35248/2329-888X.21.9.247
M. Yunus
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引用次数: 0
Endocrinology of Lactation 泌乳内分泌学
Pub Date : 2021-01-01 DOI: 10.35248/2329-888X.21.9.566
D. Parson
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引用次数: 0
Development of Methods Related to Dairy Science 乳品科学相关方法的发展
Pub Date : 2021-01-01 DOI: 10.35248/2329-888X.21.9.567
Michael Parson
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引用次数: 0
Dairy Industry: Innovative sensor system and evaluation procedure for monitoring of food processing 乳品工业:用于监测食品加工的创新传感器系统和评估程序
Pub Date : 2021-01-01 DOI: 10.35248/2329-888X.21.9.249
R. Seifert
There is a broad field of economic online and in-situ field analysis applications like the online monitoring of volatile components for quality monitoring in food processing. Looking to beer production, for example, the quality of the raw materials like grain, hops and yeast have to be investigated because these items could be the source of a contamination with 2,4,6-Trichloranisol (TCA). TCA is a chloric aromatic hydrocarbon with intensive mildewed and moldy smell and, therefore, leads to immense damage of the product not only limited to beer production. Another field of application is the monitoring of food transport and store chains to guarantee the quality of food and to avoid harm for the consumers. Typically, Volatile Organic Compounds (VOCs) are often evaporated, which can be measured by sophisticated gas sensor systems and therefore used for investigations of the mentioned problems. The purpose of this paper is to introduce a sophisticated sensor system which was developed to measure VOCs. The principal sensing element is a four-fold sensor array on a 4x4 mm2 alumina chip (Figure 1), which comprises four micro-dispensed thickfilm sensing layers of different SnO2/additive-composites. Operating MOG sensors thermocyclically and simultaneous sampling of the conductance yields gas specific Conductance-over-Time-Profile (CTP) features. Further-more, an innovative calibration and evaluation procedure ProSens will be introduced, which enables substance identification and concentration determination even in the case of varying environmental conditions from the characteristic CTP shapes. Many field analysis problems like those mentioned above are looking for innovative solutions. The above described sensor chip in combination with the numerical procedure ProSens is a powerful tool to solve existing problems in the area of food monitoring and food processing. Aroma substances are volatile compounds, which are perceived by the odor receptor sites of the sensory organ—the olfactory tissue of the nasal cavity. More than 10,000 compounds are believed to be detectable in foods, of which no more than 230 play a role in the perceivable aroma of a given food. These odorants are referred to as key food odorants. However, many more may play a role as useful indicators in food processes or for the presence of malodors as a result of suboptimal processing parameters. Due to the complexity of the task, such electronic nose applications can be used only for very specific applications with clearly defined target profiles, such as the detection of a malodor in the monitoring of continuous production lines. Moreover, and in contrast to the analytical approach of a gas chromatographic system, a sensor system is confronted with all volatiles of a sample at a single moment. So either the sensor system must have a high specificity or only a few volatiles at the same time can be introduced to the system. Implementation of the sensor system requires special efforts in the
在食品加工过程中挥发性成分在线监测等经济在线和现场原位分析应用有着广阔的应用领域。以啤酒生产为例,必须对谷物、啤酒花和酵母等原料的质量进行调查,因为这些原料可能是2,4,6-三氯苯醚(TCA)污染的来源。TCA是一种具有强烈霉变和发霉气味的氯族芳香烃,因此对产品造成了巨大的危害,不仅限于啤酒生产。另一个应用领域是对食品运输和连锁店的监控,以保证食品质量,避免对消费者造成伤害。通常,挥发性有机化合物(VOCs)经常被蒸发,这可以通过复杂的气体传感器系统进行测量,因此用于上述问题的调查。本文的目的是介绍一种精密的测量VOCs的传感器系统。主传感元件是4x4 mm2氧化铝芯片上的四层传感器阵列(图1),由四个不同SnO2/添加剂复合材料的微分布厚膜传感层组成。对MOG传感器进行热循环操作并同时对电导进行采样,可获得气体特定电导随时间分布(CTP)特征。此外,将引入创新的校准和评估程序ProSens,即使在不同的环境条件下,也可以从特征CTP形状进行物质鉴定和浓度测定。许多像上面提到的现场分析问题都在寻找创新的解决方案。上述传感器芯片与数值程序ProSens相结合,是解决食品监控和食品加工领域存在的问题的有力工具。香气物质是挥发性化合物,由感觉器官(鼻腔的嗅觉组织)的气味受体感知。据信,在食物中可检测到的化合物超过1万种,其中不超过230种在特定食物的可感知香气中起作用。这些气味剂被称为关键食物气味剂。然而,更多的可能在食品加工过程中发挥有用的指标作用,或由于加工参数不理想而产生的异味。由于任务的复杂性,这种电子鼻应用只能用于具有明确定义的目标轮廓的非常特定的应用,例如在监测连续生产线时检测异味。此外,与气相色谱系统的分析方法相反,传感器系统在同一时刻面对样品的所有挥发物。因此,传感器系统要么必须具有高特异性,要么只能同时引入少量挥发物。传感器系统的实施需要在应用传感元件的鉴定和校准方面做出特别的努力。生物电子鼻的主要优势在于其高特异性,因为生理、环境气味结合分子(例如,哺乳动物或昆虫气味受体)只有通过与其同源挥发性配体的高度特异性相互作用才能被激活。生物电子鼻面临的挑战是在非生理环境中使用时保持特异性,并保持生物技术融合元件的耐久性和重复使用检测事件的可逆性。例如,昆虫触角中的复杂生化检测系统可以作为十亿分之一范围内挥发性化合物的选择性检测系统。许多原型已经被设计出来,可以在实验室中充分发挥作用。如上所述,主要的挑战将是这些设备作为食品加工环境中的控制系统的鲁棒性和稳定性。另一个当前的趋势是使用导电纳米材料作为场效应晶体管,使用单壁碳纳米管和羧化聚吡咯纳米管作为气味结合分子的载体。在这种半导体和生物分子科学的融合技术中,受体在生物技术系统中大量表达,例如在这些传感晶体管上纯化和组装的大肠杆菌菌株。案例表明,这些传感器以浓度依赖的方式对气味作出反应,并具有良好的灵敏度。然而,目前还没有行业相关应用的报道
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引用次数: 0
Functional Properties of Milk Proteins 乳蛋白的功能特性
Pub Date : 2021-01-01 DOI: 10.35248/2329-888X.21.9.573
D. Parson
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引用次数: 0
The Hygienic Quality of Milk 牛奶的卫生质量
Pub Date : 2021-01-01 DOI: 10.35248/2329-888X.21.9.575
Michael Parson
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引用次数: 1
Dairy Industry: Controlling Listeria monocytogenes & Salmonella in Food Processing using Phage technology 乳业:利用噬菌体技术控制食品加工中的单核增生李斯特菌和沙门氏菌
Pub Date : 2021-01-01 DOI: 10.35248/2329-888X.21.9.246
B. Vegt
Phages are the most abundant microorganisms in the world and are used for targeted bacterial control in food processing. Phages can effectively be applied as surface intervention against Listeria in ready to eat food production and and as post harvest intervention against Salmonella on fresh poultry. Critical success factors to effectively apply phages in food processing environments are distribution over the food surface, the concentration and the contact time. Food processors can apply phage by spraying or dipping on the surface of food products, on food contact surfaces like slicers and belts, or as part of the sanitation regime combatting biofilms. Phage kills pathogenic bacteria up to 99.9% on food products. Listeria contamination is typically found on the outside of food products. Phages are very specific, Listeria phages only kill the Listeria genus. Therefore, phage technology cannot mask bad hygiene, nor will it interfere with starter cultures in cheese making. Phages are considered a processing aid, hence no labeling is required, and there is no effect on the colour, texture or taste. Salmonella continues to be a major cause for foodborne illnesses, despite the use of chemical interventions. Recently FSIS began on line posting of individual establishments??? category status for Salmonella performance standards for poultry carcasses, with parts standards soon to follow. This increases pressure on industry to meet or exceed USDA???s published standards. In addition, industry is beginning to feel pressure by workers and inspectors related to health hazards associated with the use of harsh chemicals, especially peracetic acid. Combined, these pressures along with providing safe food to consumers highlights the importance of finding new and innovative approaches to reduce or eliminate Salmonella in fresh meats. Phage technology is a natural and organic antimicrobial intervention that kills Salmonella with no impact on workers safety leading to safer products. From leaves of lettuce and cheddar cheese in a Cobb salad to frozen pre-cooked meals, the foods we eat remain under constant threat of contamination by microbial pathogens, which can subsequently be transmitted to the consumer. Recently, the Foodborne Disease Burden Epidemiology Reference Group (FERG) was established by the World Health Organization to monitor foodborne illness across the world. monitored the 31 foodborne pathogens that caused the highest morbidity and mortality in humans. In their most recent) estimate of the global burden of foodborne illness, approximated that 600 million foodborne infections occurred in 2010, resulting in over 400,000 deaths. Of the top five microorganisms causing foodborne illness, four were bacteria: Escherichia coli (~111 million), Campylobacter spp. (~96 million), non-typhoid Salmonella enterica (~78 million), and Shigella spp. (~51 million), with estimates for the number of foodborne-related deaths caused by these bacteria ranging from ~15,000
噬菌体是世界上最丰富的微生物,在食品加工中被用于有针对性的细菌控制。噬菌体可以有效地用于即食食品生产中对李斯特菌的表面干预,以及新鲜家禽中对沙门氏菌的收获后干预。在食品加工环境中有效应用噬菌体的关键成功因素是在食品表面的分布、浓度和接触时间。食品加工商可以通过在食品表面、切片机和皮带等食品接触面喷洒或浸渍的方式施用噬菌体,也可以作为对抗生物膜的卫生制度的一部分。噬菌体对食品致病菌的杀灭率高达99.9%。李斯特菌污染通常存在于食品的外部。噬菌体是非常特异性的,李斯特菌噬菌体只杀死李斯特菌属。因此,噬菌体技术不能掩盖不良卫生状况,也不会干扰奶酪制作中的发酵剂培养。噬菌体被认为是一种加工助剂,因此不需要标签,也不会对颜色、质地或味道产生影响。尽管使用了化学干预措施,沙门氏菌仍然是食源性疾病的主要原因。最近金融安全监督局开始在网上公布个别机构的情况??家禽胴体沙门氏菌性能标准类别现状,部分标准即将出台。这增加了工业达到或超过美国农业部的压力??S公布的标准。此外,工业开始感受到工人和检查人员对与使用刺激性化学品,特别是过氧乙酸有关的健康危害的压力。这些压力加上向消费者提供安全食品,凸显了寻找新的创新方法来减少或消除鲜肉中的沙门氏菌的重要性。噬菌体技术是一种天然和有机的抗菌干预措施,可以杀死沙门氏菌,而不会影响工人的安全,从而生产更安全的产品。从科布沙拉中的莴苣叶和切达干酪到冷冻预煮食品,我们吃的食物一直受到微生物病原体污染的威胁,这些病原体随后会传染给消费者。最近,世界卫生组织成立了食源性疾病负担流行病学参考小组(FERG),以监测世界各地的食源性疾病。监测导致人类发病率和死亡率最高的31种食源性病原体。在他们对全球食源性疾病负担的最新估计中,估计2010年发生了6亿次食源性感染,导致40多万人死亡。在导致食源性疾病的前五大微生物中,有四种是细菌:大肠杆菌(约1.11亿)、弯曲杆菌(约9600万)、非伤寒肠沙门氏菌(约7800万)和志贺氏菌(约5100万),据估计,由这些细菌引起的食源性相关死亡人数从志贺氏菌的约1.5万人到大肠杆菌的约6.3万人不等。引人注目的是,五岁以下的儿童受到的影响不成比例;他们占死亡人数的40%,而只占世界人口的9%。这些食源性疾病也是国家经济的巨大消耗;例如,在美国,平均事件估计花费约1500美元/人,这些食源性疾病的年度估计总成本超过750亿美元。有几种方法被用来帮助提高我们食品的安全性。高温巴氏消毒通常用于减少液体和乳制品中的细菌数量,尤其是牛奶。然而,巴氏灭菌法不适用于许多新鲜食品,因为该过程会导致食品被煮熟。另一种用于减少食品中病原体的方法是高压加工(HPP),它将食品暴露在高压下以灭活微生物。这项技术已经成功地应用于液体产品和预先煮熟的食物上,这些食物本来是要冷冻的;然而,与热巴氏杀菌一样,它通常不用于新鲜肉类和农产品,因为它会影响这些产品的外观(颜色)和/或营养成分。这项工作将于2018年10月17日至18日在国际粮食生产和保鲜会议上部分发表
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引用次数: 0
Dairy Storage and Shelf Life 乳制品储存和保质期
Pub Date : 2021-01-01 DOI: 10.35248/2329-888X.21.9.569
D. Parson
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引用次数: 1
Handling Practices of Raw Cow’s Milk and Major Constraints of Clean Milk Production in and around Bahir Dar City, Ethiopia 埃塞俄比亚巴希尔达尔市及其周边地区生牛奶的处理方法和清洁牛奶生产的主要制约因素
Pub Date : 2020-01-01 DOI: 10.35248/2329-888X.20.8.2.234
Birhanu Yeserah, Asaminew Tassew, H. Mazengia
The consumption of raw cow’s milk and its derivatives is common in Ethiopia, which is not safe from consumer health point of view as it may lead to the transmission of various diseases. The milk handling practices and different constraints that affect milk quality in different production systems were identified to take corrective measures. The data were collected from 212 respondents randomly selected respondents. Descriptive statistics was employed to summarize raw milk handling practice, hygienic quality of equipment. Pair-wise ranking technique was used to identify and prioritize the major milk quality related constraints. The result of the study revealed that, the milking methods of dairy farmers was hand milking with milking frequency of twice (90.1%) and once (9.9%) a day. On the other hand, only 28.3% of households were found practicing cleaning of the milking barn. There was statistically significant difference between milk producers who wash their hands before milking (85.8%) than that of milk producers who do not wash (14.2%) their hand before milking. Besides, this study revealed that, only 36%, and 23.1% of dairy producers washed udder and teat in urban and peri-urban production systems, respectively. Majority (85.9%) of milk producers weren’t practicing drying udder and teats after washing whereas, only 14.1% milk producers were practicing to dry udder and teats with individual towel (4.7%) and common towel (9.4%). Significant number of milk producers (47.8%) and (68.8%) used gourds as milk storage equipment in peri-urban and rural area, respectively while plastic container was dominant (84%) in urban production system. In this study, it was observed that lack of potable water as a major bottle neck that hampered milk quality (index=0.167), followed by lack of knowledge (index=0.153), poor hygienic condition (index=0.116) and absence of quality based payment system (index=0.11). Generally the hygienic practice during milk production in the study area was poor and milk handling practices were also vulnerable for contamination. Moreover, traditional milking container (Kell) and storage utensils (Kabo) were dominantly used in the area.
生牛奶及其衍生物的消费在埃塞俄比亚很普遍,从消费者健康的角度来看,这是不安全的,因为它可能导致各种疾病的传播。确定了不同生产系统中影响牛奶质量的牛奶处理方法和不同限制因素,并采取纠正措施。数据收集自随机抽取的212名受访者。采用描述性统计方法对原料奶的处理方法、设备卫生质量进行了总结。使用成对排序技术来识别和优先考虑与牛奶质量相关的主要制约因素。研究结果显示,奶农的挤奶方式为手工挤奶,挤奶频率为每天两次(90.1%)和一次(9.9%)。另一方面,只有28.3%的家庭被发现练习清洁挤奶房。挤奶前洗手的奶农占85.8%,挤奶前不洗手的奶农占14.2%,差异有统计学意义。此外,该研究还显示,在城市和城郊生产系统中,分别只有36%和23.1%的乳制品生产商清洗乳房和乳头。绝大多数(85.9%)奶农在洗完奶后没有练习擦干奶头,而只有14.1%的奶农练习用个人毛巾(4.7%)和普通毛巾(9.4%)擦干奶头。在城郊区和农村地区,使用葫芦作为储奶设备的奶农比例分别为47.8%和68.8%,而在城市生产系统中,以塑料容器为主(84%)。本研究发现,缺乏饮用水是影响牛奶质量的主要瓶颈(指数=0.167),其次是缺乏知识(指数=0.153)、卫生条件差(指数=0.116)和缺乏基于质量的支付系统(指数=0.11)。总体而言,研究区牛奶生产过程中的卫生实践较差,牛奶处理实践也容易受到污染。此外,该地区主要使用传统的挤奶容器(Kell)和储存器具(Kabo)。
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引用次数: 2
The Obstacles to Using Milk Composition as Management Tool in Dairy Cattle Farms 牛场采用乳成分作为管理工具的障碍
Pub Date : 2020-01-01 DOI: 10.35248/2329-888X.20.8.1.233
Alsaftli Zelal
The main objective of this discussion highlights the use of milk composition data as a management tool. Milk composition, and in particular, milk fat content, milk protein content and the ratio of milk fat/protein may be significantly altered due to a variety of factors. The development of milk production in the world in the last 10 years reflects the enormous performance potential of the herds and the farms. However, there is a concomitant worsening of fertility and an increase in the number of animals that leave the herd due to metabolic disorders, infertility, hoof disease and mastitis. In order to reduce such losses, indicators are required that indicate a disease or the risk of a disease at an early stage. In addition to the kidney, the mammary gland is the most important excretory organ of the intermediately converted nutrients. for a range of nutrients, milk reflects the quality and/or quantity of these transformation processes, and thus milk is a medium with which we can prove the success of our feeding and recognize some important feeding and management errors. But this tool can never replace close monitoring of a herd by the farmer and appropriate veterinary care but may be used as an efficient alert system for preventing health disorders in cows. Further research based on larger data set even entire population of animals is necessary to confirm the results obtained in this study.
本讨论的主要目的是强调牛奶成分数据作为管理工具的使用。乳成分,特别是乳脂肪含量、乳蛋白含量和乳脂肪/蛋白比例可能因多种因素而发生显著变化。过去10年世界牛奶生产的发展反映了畜群和农场的巨大生产潜力。然而,伴随而来的是生育力的恶化,以及由于代谢紊乱、不育、蹄病和乳腺炎而离开畜群的动物数量的增加。为了减少这种损失,需要有指标在早期阶段表明一种疾病或一种疾病的风险。除了肾脏外,乳腺是中间转化营养物质最重要的排泄器官。对于一系列的营养物质,牛奶反映了这些转化过程的质量和/或数量,因此牛奶是一种媒介,我们可以用它来证明我们的喂养是成功的,并认识到一些重要的喂养和管理错误。但是,这种工具永远不能取代农民对牛群的密切监测和适当的兽医护理,但可以用作预防奶牛健康失调的有效警报系统。需要基于更大数据集甚至整个动物种群的进一步研究来证实本研究的结果。
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引用次数: 2
期刊
Journal of advances in dairy research
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