Feasibility of energy dispersive X-ray fluorescence for quantitative prediction of elemental profile in untreated bovine colostrum.

IF 3.7 1区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
D Martini, M De Marchi, A Goi, M Pozza, G Niero
{"title":"Feasibility of energy dispersive X-ray fluorescence for quantitative prediction of elemental profile in untreated bovine colostrum.","authors":"D Martini, M De Marchi, A Goi, M Pozza, G Niero","doi":"10.3168/jds.2025-26391","DOIUrl":null,"url":null,"abstract":"<p><p>Colostrum is the first secretion produced by the mammary gland after calving, providing essential macronutrients and micronutrients to newborns. Monitoring elemental concentrations in bovine colostrum (BC) is crucial, as it serves for the physiological development and health of the neonates. Current gold-standard methods to determine elemental composition of BC are inductively coupled plasma optical-emission spectrometry or inductively coupled plasma MS. These techniques, however, are time-consuming, expensive, labor-intensive, and destructive, and they require sample preparation such as chemical matrix decomposition. In this view, energy dispersive X-ray fluorescence (ED-XRF) could represent a handy alternative. This study evaluated the effectiveness of ED-XRF for the prediction of Na, Mg, P, S, K, Ca, and Zn in BC measured through inductively coupled plasma optical-emission spectrometry as reference method. The performances of ED-XRF in predicting BC elemental composition were assessed on the entire dataset (comprising 160 samples of individual BC), on a training set (comprising 70% of the samples), and on a testing set (comprising 30% of the samples). The models demonstrated satisfactory goodness of fit for S (coefficient of determination in external validation, R<sup>2</sup><sub>TE</sub> = 0.77) and Zn (R<sup>2</sup><sub>TE</sub> = 0.74), indicating their suitability for rough screening of such elements, while showing lower association for Na, Mg, P, K, and Ca. Results of the present study could support the development of rapid screening approaches to assess S and Zn levels in BC, contributing to more informed supplementation strategies of such minerals for calves, thereby preventing deficiencies and supporting neonatal development.</p>","PeriodicalId":354,"journal":{"name":"Journal of Dairy Science","volume":" ","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Dairy Science","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.3168/jds.2025-26391","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, DAIRY & ANIMAL SCIENCE","Score":null,"Total":0}
引用次数: 0

Abstract

Colostrum is the first secretion produced by the mammary gland after calving, providing essential macronutrients and micronutrients to newborns. Monitoring elemental concentrations in bovine colostrum (BC) is crucial, as it serves for the physiological development and health of the neonates. Current gold-standard methods to determine elemental composition of BC are inductively coupled plasma optical-emission spectrometry or inductively coupled plasma MS. These techniques, however, are time-consuming, expensive, labor-intensive, and destructive, and they require sample preparation such as chemical matrix decomposition. In this view, energy dispersive X-ray fluorescence (ED-XRF) could represent a handy alternative. This study evaluated the effectiveness of ED-XRF for the prediction of Na, Mg, P, S, K, Ca, and Zn in BC measured through inductively coupled plasma optical-emission spectrometry as reference method. The performances of ED-XRF in predicting BC elemental composition were assessed on the entire dataset (comprising 160 samples of individual BC), on a training set (comprising 70% of the samples), and on a testing set (comprising 30% of the samples). The models demonstrated satisfactory goodness of fit for S (coefficient of determination in external validation, R2TE = 0.77) and Zn (R2TE = 0.74), indicating their suitability for rough screening of such elements, while showing lower association for Na, Mg, P, K, and Ca. Results of the present study could support the development of rapid screening approaches to assess S and Zn levels in BC, contributing to more informed supplementation strategies of such minerals for calves, thereby preventing deficiencies and supporting neonatal development.

能量色散x射线荧光定量预测未经处理牛初乳元素谱的可行性。
初乳是产犊后乳腺分泌的第一道分泌物,为新生儿提供必需的常量营养素和微量营养素。监测牛初乳(BC)中的元素浓度是至关重要的,因为它有助于新生儿的生理发育和健康。目前测定BC元素组成的金标准方法是电感耦合等离子体光学发射光谱法或电感耦合等离子体质谱法,然而,这些技术耗时、昂贵、劳动密集且具有破坏性,并且需要进行样品制备,如化学基质分解。从这个角度来看,能量色散x射线荧光(ED-XRF)可能是一种方便的替代方案。本研究评价了ED-XRF预测BC中Na、Mg、P、S、K、Ca、Zn含量的有效性,该方法采用电感耦合等离子体发射光谱法作为参考方法。ED-XRF在预测BC元素组成方面的性能在整个数据集(包括160个BC个体样本)、训练集(包括70%的样本)和测试集(包括30%的样本)上进行了评估。模型对S(外部验证的决定系数,R2TE = 0.77)和Zn (R2TE = 0.74)的拟合度令人满意,表明它们适合对这些元素进行粗略筛选,而对Na, Mg, P, K和Ca的相关性较低。本研究的结果可以支持快速筛选方法的开发,以评估BC中S和Zn的水平,为犊牛提供更明智的这些矿物质补充策略。从而预防缺陷和支持新生儿发育。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Dairy Science
Journal of Dairy Science 农林科学-奶制品与动物科学
CiteScore
7.90
自引率
17.10%
发文量
784
审稿时长
4.2 months
期刊介绍: The official journal of the American Dairy Science Association®, Journal of Dairy Science® (JDS) is the leading peer-reviewed general dairy research journal in the world. JDS readers represent education, industry, and government agencies in more than 70 countries with interests in biochemistry, breeding, economics, engineering, environment, food science, genetics, microbiology, nutrition, pathology, physiology, processing, public health, quality assurance, and sanitation.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信