Synthesis and characterization of NiO nanoflower for dispersive micro solid phase extraction of zinc from water and food samples

IF 4.6 2区 农林科学 Q2 CHEMISTRY, APPLIED Journal of Food Composition and Analysis Pub Date : 2025-05-01 Epub Date: 2025-02-11 DOI:10.1016/j.jfca.2025.107348
Dilek Topaloğlu , Furkan Uzcan , Nebiye Kizil , Buse Bozan Beydagi , Duygu Erkmen Erbilgin , Erkan Basaran , Mehmet Lütfi Yola , Mustafa Soylak
{"title":"Synthesis and characterization of NiO nanoflower for dispersive micro solid phase extraction of zinc from water and food samples","authors":"Dilek Topaloğlu ,&nbsp;Furkan Uzcan ,&nbsp;Nebiye Kizil ,&nbsp;Buse Bozan Beydagi ,&nbsp;Duygu Erkmen Erbilgin ,&nbsp;Erkan Basaran ,&nbsp;Mehmet Lütfi Yola ,&nbsp;Mustafa Soylak","doi":"10.1016/j.jfca.2025.107348","DOIUrl":null,"url":null,"abstract":"<div><div>This study introduces a dispersive micro solid phase extraction (DµSPE) method utilizing NiO nanoflowers for the analysis of zinc in food, environmental, and wastewater samples, employing Inductively Coupled Plasma- Optical Emission Spectrometry (ICP-OES). The synthesized NiO nanoflower-like nanoparticle was characterized through Fourier Transform Infrared Spectroscopy (FT-IR), X-ray Diffraction (XRD), and Scanning Electron Microscopy (SEM). Additionally, various parameters including pH, sample volume, adsorbent quantity, and extraction time were investigated to optimize the NiO nanoflower-based SPME (NiO nanoflower-SPME) method. The analytical performance metrics, specifically the limit of detection (LOD), limit of quantification (LOQ), and relative standard deviation (RSD), were determined to be 0.77 µg L<sup>−1</sup>, 2.56 µg L<sup>−1</sup>, and 3.9 %, respectively. Furthermore, addition-recovery studies conducted on real samples, along with analyses of standard reference materials, were performed to validate the accuracy of the method. With these results, it was concluded that the NiO nanoflower-SPME method is crucial for the analysis of zinc in real samples due to the fact that the complex matrix environment complicates the analysis.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"141 ","pages":"Article 107348"},"PeriodicalIF":4.6000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Food Composition and Analysis","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0889157525001620","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/11 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0

Abstract

This study introduces a dispersive micro solid phase extraction (DµSPE) method utilizing NiO nanoflowers for the analysis of zinc in food, environmental, and wastewater samples, employing Inductively Coupled Plasma- Optical Emission Spectrometry (ICP-OES). The synthesized NiO nanoflower-like nanoparticle was characterized through Fourier Transform Infrared Spectroscopy (FT-IR), X-ray Diffraction (XRD), and Scanning Electron Microscopy (SEM). Additionally, various parameters including pH, sample volume, adsorbent quantity, and extraction time were investigated to optimize the NiO nanoflower-based SPME (NiO nanoflower-SPME) method. The analytical performance metrics, specifically the limit of detection (LOD), limit of quantification (LOQ), and relative standard deviation (RSD), were determined to be 0.77 µg L−1, 2.56 µg L−1, and 3.9 %, respectively. Furthermore, addition-recovery studies conducted on real samples, along with analyses of standard reference materials, were performed to validate the accuracy of the method. With these results, it was concluded that the NiO nanoflower-SPME method is crucial for the analysis of zinc in real samples due to the fact that the complex matrix environment complicates the analysis.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用于分散微固相萃取水和食品样品中锌的NiO纳米花的合成与表征
本研究介绍了一种利用NiO纳米花进行分散微固相萃取(DµSPE)的方法,利用电感耦合等离子体-光学发射光谱法(ICP-OES)分析食品、环境和废水样品中的锌。通过傅里叶变换红外光谱(FT-IR)、x射线衍射(XRD)和扫描电子显微镜(SEM)对合成的NiO纳米花状纳米颗粒进行了表征。此外,还考察了pH、样品体积、吸附剂用量、萃取时间等参数对NiO纳米花基SPME (NiO nanoflower-SPME)方法的优化。测定的分析性能指标,特别是检出限(LOD)、定量限(LOQ)和相对标准偏差(RSD)分别为0.77µg L−1、2.56µg L−1和3.9 %。此外,对实际样品进行了添加回收率研究,并对标准参比物质进行了分析,以验证该方法的准确性。这些结果表明,由于复杂的基体环境使分析变得复杂,NiO纳米花- spme方法对于实际样品中锌的分析至关重要。
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 去求助
来源期刊
Journal of Food Composition and Analysis
Journal of Food Composition and Analysis 工程技术-食品科技
CiteScore
6.20
自引率
11.60%
发文量
601
审稿时长
53 days
期刊介绍: The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects. The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.
期刊最新文献
Establishment of an LC–MS/MS-based analytical method for the determination of taurine in eggs and tissues Development of a greener flow-based analytical tool for the expeditious determination of total soluble proteins Influence of allulose, xylitol, and mogroside on maillard-derived intermediates, aroma profile, and sensory perception in bread Multi-regional HPLC fingerprinting of Nelumbinis stamen flavonoids in China and machine learning-guided analysis of geographical environment factors Overview of salt reduction strategies and saltiness evaluation methods
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1