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质子核磁共振分析商业奶粉的变异及其对掺杂物检测的影响。

Variance of Commercial Powdered Milks Analyzed by Proton Nuclear Magnetic Resonance and Impact on Detection of Adulterants.

机构信息

Food Composition and Methods Development Laboratory, Beltsville Human Nutrition Research Center, Agricultural Research Service , United States Department of Agriculture , Building 161, BARC-East, Beltsville , Maryland 20705 , United States.

United States Pharmacopeia , 12601 Twinbrook Parkway , Rockville , Maryland 20852 , United States.

出版信息

J Agric Food Chem. 2018 Aug 15;66(32):8478-8488. doi: 10.1021/acs.jafc.8b00432. Epub 2018 May 8.

Abstract

Proton nuclear magnetic resonance spectra for 66 commercial powdered milk samples were analyzed by principal component analysis, soft independent modeling of class analogy, and pooled, crossed analysis of variance. It was found that the sample type (skim milk powder or non-fat dry milk), the supplier, the production site, the processing temperature (high, medium, or low temperature), and the day of analysis provided statistically significant sources of variation. Interestingly, inexact alignment (deviations of ±0.002 ppm) of the spectral reference peak was a significant source of variation, and fine alignment was necessary before the variation arising from the other experimental factors could be accurately evaluated. Using non-targeted analysis, the lowest detectable adulteration for dicyandiamide, melamine, and sucrose was 0.05%, the lowest detectable adulteration for maltodextrin and urea was 0.5%, the lowest detectable adulteration for ammonium sulfate and whey was 5%, and the lowest adulteration for soy protein isolate was undetectable using methods described herein. The measurement of variance and detection of adulteration were relatively unaffected by the resolution. Similar results were obtained with unbinned data (0.0003 ppm resolution) and binning of 333 data points (0.1 ppm resolution).

摘要

对 66 种商业奶粉粉末的质子核磁共振波谱进行了主成分分析、软独立建模分类类比和汇总交叉方差分析。结果表明,样本类型(脱脂奶粉或非脂乳固体)、供应商、生产地点、加工温度(高温、中温或低温)和分析日是造成变异的有统计学意义的来源。有趣的是,光谱参考峰的不精确对准(偏差为±0.002ppm)是造成变异的一个重要来源,在准确评估其他实验因素引起的变异之前,需要进行精细的对准。使用非靶向分析,二氰胺、三聚氰胺和蔗糖的最低可检测掺杂物为 0.05%,麦芽糊精和尿素的最低可检测掺杂物为 0.5%,硫酸铵和乳清的最低可检测掺杂物为 5%,大豆分离蛋白的最低掺杂物用本文所述方法无法检测到。方差的测量和掺杂物的检测相对不受分辨率的影响。未分组数据(0.0003ppm 分辨率)和 333 个数据点的分组(0.1ppm 分辨率)也得到了类似的结果。

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