共查询到18条相似文献,搜索用时 109 毫秒
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将比色法引入原料乳中乳糖含量的测定,在现有基础上考察了比色法在原料乳中测得乳糖含量的反应温度、反应时间、沉淀剂使用量、精密度、重复性等。由实验结果可知,比色法的线性回归方程为y=4.3705x-0.0038,相关系数R2=0.9992,曲线的相关性很好;精密度为0.551%,重复性为1.809%,加标回收率为100.434%,乳糖盲样测定结果也与实际相符,用该方法进行原料乳中乳糖的测定是切实可行的。 相似文献
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山茶油掺伪的鉴别 总被引:1,自引:0,他引:1
为探求山茶油掺伪的鉴别指标,研究了山茶油的感官性状及脂肪酸组成。同时对可能掺混的几种植物油包括花生油、菜籽油、玉米油、葵花籽油的上述相关指标进行分析,并将这几种植物油以不同比例掺混入山茶油中,总结其感官性状及脂肪酸组成的变化规律。感官评价结果表明:纯山茶油色泽呈浅黄色稍带点绿,无异味微茶香,清亮不黏;气相色谱-质谱联用分析表明,山茶油脂肪酸组成主要为油酸,含量高达80%以上,不饱和脂肪酸(油酸和亚油酸)的含量在87.67%~89.02%,同时含有少量的棕榈酸和硬脂酸及微量的11-二十碳烯酸。山茶油中掺入不同比例的其他油类,其感官性状及脂肪酸组成呈现一定的变化规律。这个规律可实际应用于市售山茶油掺伪情况的鉴别。 相似文献
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食用植物油是重要生活必需品,但食用油脂掺假问题比较突出。将廉价植物油掺入到高价植物油中,可以此获得高额利润,但这些做法极大损害了广大消费者的利益。本文主要综述了理化鉴别、仪器分析等当前植物油掺伪检验的主要方法及基本原理,重点介绍了气相色谱、液相色谱和质谱联用等色谱技术,红外光谱、近红外光谱、紫外和拉曼光谱等光谱技术以及核磁共振和电子鼻等现代分析技术在植物油防伪鉴别上的应用,总结了国内外植物油掺伪检测技术的研究进展,并对各种方法的优缺点进行了比较,对在植物油掺伪鉴别最新研究进展和应用中存在的问题进行了分析和展望。 相似文献
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关于鉴别芝麻油掺伪检验方法的研究 总被引:2,自引:1,他引:1
本文先根据不同油脂的某些物理特性,用感观检验方法大概确定出是纯芝麻油,还是掺入哪种油,再进行定量分析,最后用《GB5539——85》国家标准方法确定掺入何种油。该方法能快速准确检验出芝麻油的掺伪含量和品种。 相似文献
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食用油脂掺伪的检测技术 总被引:5,自引:0,他引:5
介绍了目前食用油脂及其制品的掺伪现状及掺伪涉及的食品安全问题;概述了目前应用的食用油检测方法,主要是理化检测方法和仪器分析方法,并进行了对比,最后对现有的检测方法和我国的食品安全问题进行了展望。 相似文献
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介绍了目前食用油脂及其制品的掺伪现状及掺伪涉及的食品安全问题;概述了目前应用的食用油检测方法,主要是理化检测方法和仪器分析方法,并进行了对比,最后对现有的检测方法和我国的食品安全问题进行了展望。 相似文献
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生鲜乳是乳制品行业发展的主要原料,是决定乳制品质量的关键因素。然而近年来国内外在乳制品方面的食品安全事件频发,不法分子通过在生鲜乳中掺入虚假物质以获取经济利益的行为已经成为严重的安全问题,对人们健康以及整个乳制品行业造成不良影响。指纹图谱技术是对通过一定的分析工具产生的图像进行判别的一种检测技术,可以对生鲜乳的掺假进行更灵敏、准确和快速的检测。本文通过对生鲜乳的安全现状进行剖析,总结了电泳法、光谱法、色谱法和电子感官技术法4种指纹图谱技术在牛乳掺假检测中的应用,比较了4种技术的优点和局限性,并对未来的研究方向进行了展望,为提高生鲜乳的品质与安全以及保证消费者健康提供理论依据与参考。 相似文献
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《Journal of dairy science》2022,105(6):4882-4894
Detection of adulteration of small ruminant milk is very important for health and commercial reasons. New analytical and cost-effective methods need to be developed to detect new adulteration practices. In this work, we aimed to explore the ability of the MALDI-TOF mass spectrometry to detect bovine milk in caprine and ovine milk using samples from 18 dairy farms. Different levels of adulteration (0.5, 1, 5, 10, 20, 40, 60, and 80%) were analyzed during the lactation period of goat and sheep (in May, from 60 to 90 d in milk, and in August, from 150 to 180 d in milk). Two different ranges of peptide-protein spectra (500–4,000 Da; 4–20 kDa) were used to establish a calibration model for predicting the concentration of adulterant using partial least squares and generalized linear model with lasso regularization. The low molecular weight part of the spectra together with the generalized linear model with lasso regularization regression model appeared to have greater potential for our aim of detection of adulteration of small ruminants' milk. The subsequent prediction model was able to predict the concentration of bovine milk in caprine milk with a root mean square error of 11.4 and 17.0% in ovine milk. The results offer compelling evidence that MALDI-TOF can detect the adulteration of small ruminants' milk. However, the method is severely limited by (1) the complexity of the milk proteome resulting from the adulteration technique, (2) the potential degradation of thermolabile proteins, and (3) the genetic variability of tested samples. Additionally, the root mean square error of prediction based only on one individual sample adulteration series can drop down to 6.34% for quantification of adulterated caprine milk and 6.28% for adulterated ovine milk for the full set of concentrations or down to 2.33 and 4.00%, respectively, if we restrict only to low concentrations of adulteration (0, 0.5, 1, 5, 10%). 相似文献
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以钯、铂、金、钛、钨和银6种自制电极组为工作电极,与Ag/AgCl参比电极和铂对电极组成非选择性传感器组,再结合pH电极、电导率电极和钠度计电极3种选择性电极组成综合型传感器阵列,连接到电化学工作站和安装SPSS统计学软件电脑后,构成生乳掺杂检测系统。对荷斯坦牛生乳及掺杂不同浓度尿素和三聚氰胺,碳酸氢钠的样本乳、陈放乳、巴氏乳、酸败乳采用电化学方法进行检测,获得开路电位、交流阻抗谱、微分脉冲伏安数据,非选择性与选择性传感器组数据分别采用模式识别法进行计算,并获得各被测样本与生乳标准数据库的欧氏距离,再以不同权重得出综合欧氏距离,通过图表得到表达。结果表明,非选择性传感器阵列组对掺杂生乳具有良好的判别能力,在此基础上构建的加装有选择性传感器的综合型传感器阵列对掺杂的甑别效果优于前者。 相似文献
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The increasing demand for on-line measurement of milk composition directs science and industry to search for practical solutions, and biosensors may be a possibility. The specific objective of this work was to develop an electrochemical biosensor to determine lactose concentration in fresh raw milk. The sensor is based on serial reactions of three enzymes--beta-galactosidase, glucose oxidase, and horseradish peroxidase--immobilized on a glassy carbon electrode. The sequential enzymatic reactions increase the selectivity and sensitivity of the sensor. The sensor requires dilution of the raw milk and the addition of 5-aminosalicylic acid. Lactose concentrations in raw milk measured by the sensor were in good agreement with those measured by a reference laboratory using infrared technology. The results were obtained in milk samples that varied in fat and protein composition. From the results, we conclude that an electrochemical biosensor for determination of lactose concentration in fresh raw milk can be developed, and that the biosensor presented in this study maintained the qualities required for further development into an online sensor in the milking parlor. 相似文献
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