Differential-based biosensor array for fluorescence-chemometric discrimination and the quantification of subtle chloropropanols by cross-reactive serum albumin scaffolding

化学 分析物 色谱法 荧光团 生物传感器 抗坏血酸 线性判别分析 食品科学 荧光 生物化学 人工智能 计算机科学 量子力学 物理
作者
Siew-Fang Wong,Kah Hin Low,Sook Mei Khor
出处
期刊:Talanta [Elsevier]
卷期号:218: 121169-121169 被引量:12
标识
DOI:10.1016/j.talanta.2020.121169
摘要

Food contamination is a serious concern because of a high level of chemicals in food causes severe health issues. Safeguarding the public from the risk of adulterated foods has become a challenging mission. Chloropropanols are of importance to food safety and food security because they are common chemical food contaminants and believed to be carcinogenic to humans. In chemical sensing, chloropropanols are challenging analytes owing to the lacking diversity of functional groups and difficulty in targeting the hydroxyl group in aqueous environments. Moreover, because of their small molecular size, the compositions of chloropropanols remain challenging for achieving chromatographic determination. Herein, to simulate human smell and taste sensations, serum albumins, which are protein-based receptors, were introduced as low-selective receptors for differential sensing. Utilizing serum albumins, a fluorophore (PRODAN), and an additive (ascorbic acid), a differential-based optical biosensor array was developed to detect and differentiate chloropropanols. By integrating the sensor array with linear discriminant analysis (LDA), four chloropropanols were effectively differentiated based on their isomerism properties and the number of the hydroxyl groups, even at ultra-low concentration (5 nM). This concentration is far below the maximum tolerable level of 0.18 μM for chloropropanols. The sensing array was then employed for chloropropanols differentiation and quantification in the complex mixtures (e.g., synthetic soy and dark soy sauces). Leave-one-out cross-validation (LOOCV) analysis demonstrated 100% accurate classification for all tests. These results signify our differential sensing array as a practical and powerful tool to speedily identify, differentiate, and even quantify chloropropanols in food matrices.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
dacongming发布了新的文献求助30
1秒前
雪落发布了新的文献求助10
2秒前
Z2028815291完成签到,获得积分10
2秒前
3秒前
550发布了新的文献求助10
3秒前
4秒前
自由可乐应助sophieCCM0302采纳,获得20
4秒前
wangbq完成签到 ,获得积分10
6秒前
打打应助稳重向南采纳,获得10
7秒前
哎呀完成签到,获得积分10
7秒前
周而复始完成签到 ,获得积分10
7秒前
桐桐应助Owen采纳,获得10
7秒前
晓晓完成签到,获得积分10
8秒前
伍德完成签到,获得积分10
8秒前
wwt完成签到,获得积分10
8秒前
luca完成签到,获得积分10
9秒前
胖虎完成签到,获得积分10
9秒前
哎呀发布了新的文献求助20
9秒前
10秒前
Owen应助sjhz采纳,获得10
11秒前
杳鸢应助lilili采纳,获得10
11秒前
11秒前
fff完成签到,获得积分10
12秒前
12秒前
浩二驳回了赘婿应助
13秒前
13秒前
汉堡包应助张凤采纳,获得10
14秒前
wwt发布了新的文献求助10
14秒前
善学以致用应助luca采纳,获得10
14秒前
Akim应助gan采纳,获得10
14秒前
sirius完成签到,获得积分10
16秒前
陈志浩完成签到,获得积分10
19秒前
送福锦鲤完成签到,获得积分10
19秒前
20秒前
酷炫的过客完成签到 ,获得积分10
20秒前
Tsct完成签到,获得积分20
20秒前
22秒前
22秒前
22秒前
Reybor完成签到,获得积分10
25秒前
高分求助中
The late Devonian Standard Conodont Zonation 2000
Semiconductor Process Reliability in Practice 1500
Nickel superalloy market size, share, growth, trends, and forecast 2023-2030 1000
Smart but Scattered: The Revolutionary Executive Skills Approach to Helping Kids Reach Their Potential (第二版) 1000
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 700
中国区域地质志-山东志 560
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3242929
求助须知:如何正确求助?哪些是违规求助? 2887037
关于积分的说明 8245962
捐赠科研通 2555600
什么是DOI,文献DOI怎么找? 1383752
科研通“疑难数据库(出版商)”最低求助积分说明 649728
邀请新用户注册赠送积分活动 625625