Smartphone digital image colorimetry combined with deep eutectic solvent-liquid–liquid microextraction for the determination of cobalt in milk and dairy products

化学 反应杯 色谱法 深共晶溶剂 检出限 比色法 分析化学(期刊) 溶剂 共晶体系 无机化学 物理 有机化学 合金 量子力学
作者
Aliyu B. Abdullahi,Salihu Ismail,Usama Alshana,Nusret Ertaş
出处
期刊:Journal of Food Composition and Analysis [Elsevier BV]
卷期号:119: 105263-105263 被引量:7
标识
DOI:10.1016/j.jfca.2023.105263
摘要

Deep eutectic solvent-liquid–liquid microextraction (DES-LLME) was combined with smartphone digital image colorimetry (SDIC) for the determination of cobalt as its chelate with 1-(2-pyridylazo)-2-naphthol. The final extract was placed in a quartz micro-cuvette inside a laboratory-designed colorimetric box from which images of the extract were captured and split into their red-green-blue channels. The intensity of the red channel, found to give the highest intensity, was used to calculate the concentration of cobalt. Optimum SDIC performance was obtained at a distance of 8.0 cm between the cuvette and the detection camera with a 60.0% brightness of the light source at a wavelength of 560 nm and 1600 px2 as the region of interest. Optimum DES-LLME conditions were found as follows: complexation pH of 5.00, 300 µL of DES (choline chloride/phenol, 1:4 molar ratio), 900 µL of tetrahydrofuran within 2.0 min complexation and 2.0 min extraction time. The limits of detection (3Sb/m) and quantitation (10Sb/m) were found as 0.03 and 0.16 µg g−1, respectively. The coefficient of determination (R2) was found to be higher than 0.9966 and the relative standard deviation was lower than 7.8%. The proposed method was applied for the determination of cobalt in milk and dairy products with percentage relative recoveries ranging between 95.0% and 107.5%.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刻苦棒球发布了新的文献求助10
1秒前
1秒前
疯子不风完成签到,获得积分10
3秒前
mufeixue发布了新的文献求助10
5秒前
刻苦棒球完成签到,获得积分10
7秒前
黑色卡布奇诺完成签到,获得积分10
8秒前
C1stues完成签到,获得积分10
11秒前
13秒前
研小白应助张sir采纳,获得30
14秒前
研小白应助张sir采纳,获得30
14秒前
突突突发布了新的文献求助10
14秒前
面汤完成签到 ,获得积分10
15秒前
酷波er应助Wangwf采纳,获得10
16秒前
刘丰完成签到 ,获得积分10
17秒前
NNi发布了新的文献求助10
19秒前
z_king_d_23发布了新的文献求助10
20秒前
hbsand完成签到,获得积分10
20秒前
chenxilulu完成签到,获得积分10
20秒前
️语完成签到 ,获得积分10
21秒前
17835152738完成签到,获得积分10
24秒前
黑山羊完成签到,获得积分10
25秒前
1526完成签到,获得积分10
26秒前
梅干菜鲜肉粽完成签到 ,获得积分10
28秒前
murphy发布了新的文献求助10
29秒前
哭泣凡阳应助达达采纳,获得10
31秒前
研友_zndy9Z完成签到,获得积分10
32秒前
舒先生完成签到,获得积分10
34秒前
murphy完成签到,获得积分10
39秒前
糕糕完成签到 ,获得积分10
40秒前
40秒前
NNi发布了新的文献求助10
41秒前
moos完成签到 ,获得积分10
42秒前
42秒前
英俊的铭应助kirin采纳,获得10
45秒前
SIHUONIANHUA发布了新的文献求助10
45秒前
47秒前
首席医官完成签到,获得积分10
47秒前
马大帅完成签到,获得积分10
48秒前
阿甘完成签到,获得积分10
51秒前
汉皇高祖完成签到 ,获得积分10
51秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6355858
求助须知:如何正确求助?哪些是违规求助? 8170527
关于积分的说明 17201202
捐赠科研通 5411774
什么是DOI,文献DOI怎么找? 2864385
邀请新用户注册赠送积分活动 1841922
关于科研通互助平台的介绍 1690224