Doneti Ravinder, Pemula Gowtham, Karishma Khatri, Smita C. Pawar, M. Botlagunta
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引用次数: 1
摘要
牛奶是动物保健的高附加值营养品之一。不同种类的牛奶被用作饮食,对健康有不同的好处。人奶也被用来交换牛奶对人体健康的营养。在乳品业务中,高附加值牛奶一般与低附加值牛奶混合进行商业交易。食用这些掺假乳制品可能会引起某些人的过敏反应。本研究采用气相色谱(GC)、傅里叶变换红外光谱(FT-IR)、扫描电镜(SEM)和能量色散x射线分析(EDX)等方法对不同的牛奶样品进行分析,以确定牛奶样品之间的差异。FT-IR分析表明,所有牛奶样品在1384 cm处显示出共同的波长信号,并区分出不同的波长光谱模式(人:1077 cm,驴:1092 cm,水牛:3435 cm,牛:3450 cm和山羊:3443 cm)。气相色谱分析结果还确定了牛奶样品的共同和独特的特征。SEM-EDAX显示了独特金属的存在,如人乳含硅8.82wt%,驴乳含铁6.24wt%,水牛乳含硅31.29 wt%,令人惊讶的是,与其他种类的牛奶相比,奶牛的氧含量非常低,约为33.76 wt%。综上所述,结果证实,各种牛奶样品可以[J] Food science nur Res 2021;DOI: 10.26502/jfsnr. DOI: 10.26502/jfsnr。利用FT-IR、GC和SEM-EDAX对其进行了鉴别
Comparison of Various Milk Samples Using Spectroscopy Chromatography, and Microscopic Analysis
Milk is one of the value-added nutritional products for animal health. Different types of milk are being used as a diet for different health benefits. Human milk also being used as trading milk for the nourishment of human health. In diary business, high value-added milk generally mixed with low-value milk for business trading. Consumption of these adulterated dairy products may cause an allergic response in certain individuals. In this study, we analyzed various milk samples, using gas chromatography (GC), Fouriertransform infrared spectroscopy (FT-IR), and Scanning Electron Microscopy (SEM) with Energy Dispersive XRay Analysis (EDX) to identify the difference among milk samples. FT-IR analysis showed, all milk samples show common wavelength signal at 1384 cm and also distinguish various wavelength spectral patterns (human: 1077 cm, donkey: 1092 cm, buffalo: 3435 cm, cow: 3450 cm and goat: 3443 cm. GC analysis results also identified common and distinct profiles for the milk samples tested. SEM-EDAX showed the presence of unique metals such as human milk contains Si-8.82wt%, donkey contains Fe-6.24wt%, and buffalo contains Si-31.29 wt% and surprisingly cow showed a very low percentage of oxygen of about 33.76 wt% when compared to other kinds of milks. Taken together, results confirmed that kinds of milk samples can be J Food Sci Nutr Res 2021; 4 (1): 012-022 DOI: 10.26502/jfsnr.2642-11000059 Journal of Food Science and Nutrition Research 13 distinguished using FT-IR, GC and SEM-EDAX