Aqueous Two-Phase Flotation Combined with Gold Nanoparticle Colorimetry for Determination of Thiocyanate in Raw Milk

IF 2.5 4区 工程技术 Q3 CHEMISTRY, ANALYTICAL
Bin Jiang, Hongshen Yue, Xinhao Fu, Jiaming Wang, Yu Feng, Chunhong Liu, Dongmei Li
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引用次数: 0

Abstract

Thiocyanates are effective in inhibiting the growth of microorganisms in raw milk to extend shelf life, but excessive addition can cause human health problems. Currently, ion chromatography and spectrophotometry are the main methods used in industry to determine SCN, but the pre-treatment process is cumbersome and time-consuming and has low sensitivity. Aqueous two-phase flotation (ATPF) technology has the advantages of simplicity, rapidity and economy. In this study, an acetonitrile/ammonium sulfate ATPF–gold nanoparticle (AuNP) colorimetric method was developed for the determination of SCN− in raw milk, and ATPF was used to separate and concentrate SCN− in raw milk to improve the detection sensitivity under convenient and economical conditions. The separation conditions were optimized by single-factor experiments and RSM, while the detection conditions, effects of CTAB concentration, pH and reaction time, were investigated. The “aggregation–anti-aggregation” mechanism of the gold-nano colorimetric method for the determination of SCN− was investigated by UV-vis absorption spectroscopy (UV-vis) and transmission electron microscopy (TEM). Under the optimal separation and detection conditions, the SCN− concentration showed a linear relationship with A630/A520 values in the concentration range of 0–2.5 mg/L with R2 of 0.9933, limit of detection (LOD) of 0.0919 mg/L, limit of quantitation (LOQ) of 0.306 mg/L, intra-day precision of 5.3% and spiked recoveries of 80.91–101.25%. In addition, the ATPF-AuNP colorimetric method demonstrated high selectivity and stability.
水相两相浮选结合金纳米粒子比色法测定生乳中的硫氰酸盐
硫氰酸盐可有效抑制原料奶中微生物的生长,延长保质期,但过量添加会造成人体健康问题。目前,工业上主要采用离子色谱法和分光光度法测定 SCN,但前处理过程繁琐耗时,灵敏度低。水溶液两相浮选(ATPF)技术具有简便、快速、经济等优点。本研究建立了乙腈/硫酸铵-ATPF-金纳米粒子(AuNP)比色法测定生乳中的SCN-,并利用ATPF分离浓缩生乳中的SCN-,在方便、经济的条件下提高了检测灵敏度。通过单因素实验和RSM对分离条件进行了优化,同时考察了检测条件、CTAB浓度、pH值和反应时间的影响。通过紫外-可见吸收光谱(UV-vis)和透射电子显微镜(TEM)研究了金纳米比色法测定 SCN-的 "聚集-反聚集 "机理。在最佳分离检测条件下,SCN-浓度与A630/A520值在0~2.5 mg/L范围内呈线性关系,R2为0.9933,检出限为0.0919 mg/L,定量限为0.306 mg/L,日内精密度为5.3%,加标回收率为80.91%~101.25%。此外,ATPF-AuNP 比色法还具有较高的选择性和稳定性。
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来源期刊
Separations
Separations Chemistry-Analytical Chemistry
CiteScore
3.00
自引率
15.40%
发文量
342
审稿时长
12 weeks
期刊介绍: Separations (formerly Chromatography, ISSN 2227-9075, CODEN: CHROBV) provides an advanced forum for separation and purification science and technology in all areas of chemical, biological and physical science. It publishes reviews, regular research papers and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. There are, in addition, unique features of this journal: Manuscripts regarding research proposals and research ideas will be particularly welcomed. Electronic files and software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material. Manuscripts concerning summaries and surveys on research cooperation and projects (that are funded by national governments) to give information for a broad field of users. The scope of the journal includes but is not limited to: Theory and methodology (theory of separation methods, sample preparation, instrumental and column developments, new separation methodologies, etc.) Equipment and techniques, novel hyphenated analytical solutions (significantly extended by their combination with spectroscopic methods and in particular, mass spectrometry) Novel analysis approaches and applications to solve analytical challenges which utilize chromatographic separations as a key step in the overall solution Computational modelling of separations for the purpose of fundamental understanding and/or chromatographic optimization
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