{"title":"Quality characteristics and nutrient contents of Bactrian camel milk as determined by mid-infrared spectroscopy","authors":"Yongqing Li, Li Liu, Yikai Fan, Weihua Liu, Qi Yang, Wan Wen, Weiqi Li, Leixiao Hao, Huiying Zou, Yeerlan Xieermaola, Lijun Cao, Jia Na, Gulire Wufuer, Haitong Wang, Zhuo Yang, Chu Chu, Bo Hu, Zunongjiang Abula, Shujun Zhang","doi":"10.1111/1471-0307.13041","DOIUrl":null,"url":null,"abstract":"<p>Reference methods for determining the contents of functional traits in camel milk are expensive and complex, hindering their widespread use. Mid-infrared technology has the advantages of fast, economic, batch processing for dairy detection. In the present study, mid-infrared spectroscopy (MIRS) prediction models previously established based on cow milk were used to predict 1101 Bactrian camel milk samples in terms of fat, protein, lactose, total solids, total casein, β-casein, K, Ca, Na and Mg contents. The MIRS-predicted values for the 10 traits were close to the reference values, demonstrating the utility and efficiency of the proposed method. Furthermore, the quality characteristics of camel milk were compared with those of other dairy animals, confirming that it is a valuable and rich source of essential nutrients for humans.</p>","PeriodicalId":13822,"journal":{"name":"International Journal of Dairy Technology","volume":"77 2","pages":"304-312"},"PeriodicalIF":2.5000,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Dairy Technology","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/1471-0307.13041","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Reference methods for determining the contents of functional traits in camel milk are expensive and complex, hindering their widespread use. Mid-infrared technology has the advantages of fast, economic, batch processing for dairy detection. In the present study, mid-infrared spectroscopy (MIRS) prediction models previously established based on cow milk were used to predict 1101 Bactrian camel milk samples in terms of fat, protein, lactose, total solids, total casein, β-casein, K, Ca, Na and Mg contents. The MIRS-predicted values for the 10 traits were close to the reference values, demonstrating the utility and efficiency of the proposed method. Furthermore, the quality characteristics of camel milk were compared with those of other dairy animals, confirming that it is a valuable and rich source of essential nutrients for humans.
期刊介绍:
The International Journal of Dairy Technology ranks highly among the leading dairy journals published worldwide, and is the flagship of the Society. As indicated in its title, the journal is international in scope.
Published quarterly, International Journal of Dairy Technology contains original papers and review articles covering topics that are at the interface between fundamental dairy research and the practical technological challenges facing the modern dairy industry worldwide. Topics addressed span the full range of dairy technologies, the production of diverse dairy products across the world and the development of dairy ingredients for food applications.