The use of NIR technology in sugar beet processing for real-time monitoring of key quality parameters

自动化 工艺工程 计算机科学 过程(计算) 质量(理念) 生产(经济) 钥匙(锁) 过程分析技术 糖 鉴定(生物学) 校准 样品(材料) 蔗糖 制糖 数据采集 数据挖掘 样品制备 环境科学 人工智能 过程控制 数据处理 工作(物理) 中试装置 生化工程
作者
Karin Abraham,Wolfgang Klosterhalfen,Mark Oliver Burkhardt
出处
期刊: 卷期号:: 811-811 被引量:1
标识
DOI:10.36961/si34113
摘要

The automation of production processes has become an omnipresent topic. Thereby, the acquisition of data in real-time with the help of so-called smart sensors plays a crucial role. To continuously detect the traditional parameters, polarimetric and HPLC sucrose, as well as dry substance content at various points in the sugar production process in real-time, the Pfeifer & Langen IP GmbH uses near-infrared spectroscopy (NIRS). To use and sell the NIR technology as ready-to-use solutions for several liquid and solid raw, intermediate, and final products in the sugar process, the IP GmbH has developed technical installation solutions and specific calibration models over several years. The underlying mathematical models are built upon a comprehensive database as well as continuous optimisation. The varying sample matrices, as well as ambient conditions, have made the model development quite complex. As a first step, this paper focuses on NIRS sensor development for several liquid intermediate products of the beet sugar process. An excellent correlation (R2 = 0.993 and R2 = 0.982 for polarimetric and HPLC sucrose content, respectively) between the NIRS data and the reference data demonstrated the applicability of this technique to promptly reduce manual work in the laboratory. Besides, the NIRS real-time data is intended to be used for an automated model-based control of the sugar production process. Apart from the targeted basic function of these sensors, the determination of key quality parameters in real-time, additional findings were generated by evaluating the data more precisely. A detailed comparison between polarimetric and HPLC sucrose measurements enabled the identification of differences attributable to specific non-sucrose components, particularly microbial polysaccharides.

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
是毛果芸香碱完成签到,获得积分10
刚刚
科研通AI2S的应助被毛毛采纳,获得30
刚刚
科研通AI6.4的应助被王小鱼采纳,获得10
刚刚
大个的应助被王小鱼采纳,获得10
1秒前
1秒前
1秒前
1秒前
CipherSage的应助被隆咚锵采纳,获得10
1秒前
1秒前
bkagyin的应助被严冥幽采纳,获得10
1秒前
UAECT发布了新的文献求助10
2秒前
科研通AI6.4的应助被rxir采纳,获得20
2秒前
秋风的应助被十三采纳,获得20
2秒前
秋风的应助被十三采纳,获得20
2秒前
秋风的应助被十三采纳,获得20
2秒前
LL发布了新的文献求助30
2秒前
甘甘甘甘的应助被十三采纳,获得20
3秒前
高贵魂幽完成签到,获得积分10
3秒前
3秒前
松露完成签到,获得积分10
3秒前
安沁发布了新的文献求助10
3秒前
cuize完成签到,获得积分10
3秒前
落寞代灵完成签到 ,获得积分10
4秒前
Ccyyx发布了新的文献求助10
4秒前
Eden发布了新的文献求助10
4秒前
4秒前
5秒前
ssss发布了新的文献求助10
6秒前
皮在痒发布了新的文献求助10
6秒前
yuan发布了新的文献求助10
6秒前
6秒前
ak发布了新的文献求助10
6秒前
万能图书馆的应助被沐凉风i采纳,获得10
6秒前
7秒前
香蕉觅云的应助被NING采纳,获得10
8秒前
科研通AI6.2的应助被20182531027采纳,获得10
8秒前
null的应助被怕孤单的石头采纳,获得10
8秒前
Maestro_S的应助被天净沙内勤采纳,获得10
8秒前
xpqball完成签到,获得积分10
8秒前
9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
Encyclopedia of Modern Artificial Intelligence 1000
Особенности технологий и методов информационно-психологических войн СССР с Великобританией и США в период 1939-1953 гг 1000
Das Matthäusevangelium: Kapitel 1:1–17 1000
IRTSD: Open-Source Data and Toolset for Electromagnetic Transient Analysis of Disturbances and IBR Control Malfunctions in Transmission Systems 1000
Challenging Attachment Theory 600
Analyses de reconnaissances de dettes passées devant les échevins d'Ypres (1249-1291) 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8140024
求助须知:如何正确求助?哪些是违规求助? 9540498
关于积分的说明 21639945
捐赠科研通 7724118
什么是DOI,文献DOI怎么找? 3420975
关于科研通互助平台的介绍 2546178
邀请新用户注册赠送积分活动 2463037