Quantitative detection of zearalenone in wheat grains based on near-infrared spectroscopy

平滑的 特征选择 Lasso(编程语言) 支持向量机 残余物 相关系数 数学 模式识别(心理学) 均方误差 人工智能 生物系统 计算机科学 算法 统计 万维网 生物
作者
Hongwei Ning,Jiawei Wang,Hui Jiang,Quansheng Chen
出处
期刊:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy [Elsevier]
卷期号:280: 121545-121545 被引量:35
标识
DOI:10.1016/j.saa.2022.121545
摘要

Zearalenone (ZEN) can easily contaminate wheat, seriously affecting the quality and safety of wheat grains. In this study, a near-infrared (NIR) spectroscopy detection method for rapid detection of ZEN in wheat grains was proposed. First, the collected original near-infrared spectra were denoised, smoothed and scatter corrected by Savitzky-Golay smoothing (SG-smoothing) and multiple scattering correction (MSC), and then normalized. Three wavelength variable selection algorithms were used to select variables from the preprocessed NIR spectra, which were random frog (RF), successive projections algorithm (SPA), least absolute shrinkage and selection operator (LASSO). Finally, based on the feature variables extracted by the above algorithms, support vector machine (SVM) models were established respectively to realize the quantitative detection of the ZEN in wheat grains. Eventually, the prediction effect of the LASSO-SVM model was the best, the prediction correlation coefficient (RP) was 0.99, the root mean square error of prediction (RMSEP) was 2.1 μg·kg-1, and the residual prediction deviation (RPD) was 6.0. This research shows that the NIR spectroscopy can be used for high-precision quantitative detection of the ZEN in grains, and the research gives a new technical solution for the in-situ detection of mycotoxins in stored grains.
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
silong发布了新的文献求助10
3秒前
4秒前
5秒前
充电宝应助YUYUYU采纳,获得10
5秒前
尊敬秋双完成签到,获得积分10
5秒前
暮夏钟鼓应助温婉的含芙采纳,获得10
6秒前
三金脚脚完成签到 ,获得积分10
6秒前
桐桐应助万刈采纳,获得10
8秒前
归诚完成签到,获得积分10
9秒前
yuyu完成签到,获得积分10
9秒前
包子牛奶完成签到,获得积分10
10秒前
meinv666发布了新的文献求助50
11秒前
12秒前
yuyu发布了新的文献求助10
12秒前
泡面小猪完成签到,获得积分10
13秒前
123应助兰陵萧笑声采纳,获得10
13秒前
drz完成签到 ,获得积分10
13秒前
yang发布了新的文献求助10
13秒前
Akim应助啊啊啊lei采纳,获得10
14秒前
16秒前
16秒前
幽默的溪灵给DrZ的求助进行了留言
18秒前
思源应助呆呆的猕猴桃采纳,获得10
18秒前
敖哥完成签到,获得积分10
18秒前
无花果应助呦呦采纳,获得10
20秒前
852应助珍惜采纳,获得10
21秒前
21秒前
Tadalafil发布了新的文献求助10
21秒前
m赤子心发布了新的文献求助10
21秒前
21秒前
23秒前
stuffmatter应助JV采纳,获得10
24秒前
科研通AI2S应助JV采纳,获得10
24秒前
小熊星星完成签到,获得积分10
24秒前
盒子应助00采纳,获得10
24秒前
泡面小猪发布了新的文献求助30
26秒前
26秒前
Siney发布了新的文献求助10
27秒前
27秒前
Andrew完成签到,获得积分10
27秒前
高分求助中
Sustainability in Tides Chemistry 2000
The ACS Guide to Scholarly Communication 2000
Studien zur Ideengeschichte der Gesetzgebung 1000
TM 5-855-1(Fundamentals of protective design for conventional weapons) 1000
Threaded Harmony: A Sustainable Approach to Fashion 810
Pharmacogenomics: Applications to Patient Care, Third Edition 800
Gerard de Lairesse : an artist between stage and studio 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 3076162
求助须知:如何正确求助?哪些是违规求助? 2729044
关于积分的说明 7507177
捐赠科研通 2377267
什么是DOI,文献DOI怎么找? 1260526
科研通“疑难数据库(出版商)”最低求助积分说明 611000
版权声明 597164