Enhancing milk quality assessment: A novel approach using an optical tongue with fiber-based Mach–Zehnder interferometry

IF 5.3 2区 农林科学 Q1 ENGINEERING, CHEMICAL Journal of Food Engineering Pub Date : 2024-03-21 DOI:10.1016/j.jfoodeng.2024.112057
Renato Luiz Faraco Filho, Arthur Arruda e Andrade, Deivid Campos, Edimar José de Oliveira, Alexandre Bessa dos Santos
{"title":"Enhancing milk quality assessment: A novel approach using an optical tongue with fiber-based Mach–Zehnder interferometry","authors":"Renato Luiz Faraco Filho,&nbsp;Arthur Arruda e Andrade,&nbsp;Deivid Campos,&nbsp;Edimar José de Oliveira,&nbsp;Alexandre Bessa dos Santos","doi":"10.1016/j.jfoodeng.2024.112057","DOIUrl":null,"url":null,"abstract":"<div><p>The incorporation of advanced technologies in agricultural industry procedures has boosted operational efficiency, enabling more effective data collection and analysis. In this study, we developed an ”optical tongue” using fiber-optic Mach–Zehnder interferometers (MZIs) built from micro tapered long-period fiber gratings (MT-LPFGs). This tool was employed to collect data related to milk quality, with results indicating a high potential to improve the quality control of dairy products. These advances demonstrate the potential of optical fiber sensor technologies in the agricultural industry and quality control.</p></div>","PeriodicalId":359,"journal":{"name":"Journal of Food Engineering","volume":null,"pages":null},"PeriodicalIF":5.3000,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Food Engineering","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0260877424001237","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0

Abstract

The incorporation of advanced technologies in agricultural industry procedures has boosted operational efficiency, enabling more effective data collection and analysis. In this study, we developed an ”optical tongue” using fiber-optic Mach–Zehnder interferometers (MZIs) built from micro tapered long-period fiber gratings (MT-LPFGs). This tool was employed to collect data related to milk quality, with results indicating a high potential to improve the quality control of dairy products. These advances demonstrate the potential of optical fiber sensor technologies in the agricultural industry and quality control.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
加强牛奶质量评估:使用基于光纤的马赫-泽恩德干涉仪的光舌的新方法
在农业生产过程中采用先进技术提高了作业效率,从而能够更有效地收集和分析数据。在这项研究中,我们利用由微型锥形长周期光纤光栅(MT-LPFGs)制成的光纤马赫-泽恩德干涉仪(MZIs)开发了一种 "光学舌头"。该工具用于收集与牛奶质量有关的数据,结果表明它在改善乳制品质量控制方面具有很大的潜力。这些进展证明了光纤传感器技术在农业和质量控制方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Food Engineering
Journal of Food Engineering 工程技术-工程:化工
CiteScore
11.80
自引率
5.50%
发文量
275
审稿时长
24 days
期刊介绍: The journal publishes original research and review papers on any subject at the interface between food and engineering, particularly those of relevance to industry, including: Engineering properties of foods, food physics and physical chemistry; processing, measurement, control, packaging, storage and distribution; engineering aspects of the design and production of novel foods and of food service and catering; design and operation of food processes, plant and equipment; economics of food engineering, including the economics of alternative processes. Accounts of food engineering achievements are of particular value.
期刊最新文献
Editorial Board Ultrasonic technology for predicting beef thawing degree and endpoint An automated platform for measuring infant formula powder rehydration quality using a collaborative robot integrated with computer vision Quality non-destructive sorting of large yellow croaker based on image recognition Chlorophyll content estimation and ripeness detection in tomato fruit based on NDVI from dual wavelength LiDAR point cloud data
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1