Colorimetric detection of milk spoilage at low temperatures: a novel PDA/ZnO@NC membrane for pH-based freshness monitoring

IF 2.5 4区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Biotechnology and Bioprocess Engineering Pub Date : 2024-02-13 DOI:10.1007/s12257-024-00021-9
Zhaowei Li, Huisoo Jang, Sungjin Park, Sun Min Kim, Tae-Joon Jeon
{"title":"Colorimetric detection of milk spoilage at low temperatures: a novel PDA/ZnO@NC membrane for pH-based freshness monitoring","authors":"Zhaowei Li, Huisoo Jang, Sungjin Park, Sun Min Kim, Tae-Joon Jeon","doi":"10.1007/s12257-024-00021-9","DOIUrl":null,"url":null,"abstract":"<p>Food waste is a huge problem worldwide, and spoilage during storage is a major contributor. Food freshness monitoring systems can help reduce food waste by providing consumers with information to more accurately predict the shelf life of their food. In the case of milk, pH can be used as a freshness indicator. As milk spoils, microbial activity converts lactose to lactic acid, which produces hydrogen ions (H<sup>+</sup>) and consequently lowers the pH of the milk. In this paper, we propose a paper sensor that can detect the pH of milk in a refrigerated state (− 4 ℃) by color change. Polydiacetylene (PDA)/zinc oxide (ZnO) nanocomposite, which changes its color from blue to red as the pH decreases, was used as the color changing material. Specifically, the nanocomposite was applied to a nitrocellulose (NC) membrane, which is approved as a food packaging material for monitoring freshness during transport or on the shelf. The freshness monitoring function of the sensor was verified by applying artificially spoiled milk samples to the PDA/ZnO@NC membrane. In particular, it was demonstrated that the PDA/ZnO@NC membrane was shown to detect spoiled milk samples with pH 4.5 in 10 min at low temperature. Furthermore, the color change of the sensor upon detection of spoilage remained stable even after long-term storage. In conclusion, the PDA/ZnO@NC membrane presented in this study can be widely applied to the freshness monitoring of various food products stored at low temperatures whose spoilage is evaluated by pH.</p>","PeriodicalId":8936,"journal":{"name":"Biotechnology and Bioprocess Engineering","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biotechnology and Bioprocess Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s12257-024-00021-9","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Food waste is a huge problem worldwide, and spoilage during storage is a major contributor. Food freshness monitoring systems can help reduce food waste by providing consumers with information to more accurately predict the shelf life of their food. In the case of milk, pH can be used as a freshness indicator. As milk spoils, microbial activity converts lactose to lactic acid, which produces hydrogen ions (H+) and consequently lowers the pH of the milk. In this paper, we propose a paper sensor that can detect the pH of milk in a refrigerated state (− 4 ℃) by color change. Polydiacetylene (PDA)/zinc oxide (ZnO) nanocomposite, which changes its color from blue to red as the pH decreases, was used as the color changing material. Specifically, the nanocomposite was applied to a nitrocellulose (NC) membrane, which is approved as a food packaging material for monitoring freshness during transport or on the shelf. The freshness monitoring function of the sensor was verified by applying artificially spoiled milk samples to the PDA/ZnO@NC membrane. In particular, it was demonstrated that the PDA/ZnO@NC membrane was shown to detect spoiled milk samples with pH 4.5 in 10 min at low temperature. Furthermore, the color change of the sensor upon detection of spoilage remained stable even after long-term storage. In conclusion, the PDA/ZnO@NC membrane presented in this study can be widely applied to the freshness monitoring of various food products stored at low temperatures whose spoilage is evaluated by pH.

Abstract Image

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
低温下牛奶腐败的比色检测:基于 pH 值的新鲜度监测用新型 PDA/ZnO@NC 膜
食物浪费是全球范围内的一个巨大问题,而储存过程中的变质则是造成浪费的主要原因。食品新鲜度监测系统可以为消费者提供信息,帮助他们更准确地预测食品的保质期,从而减少食品浪费。就牛奶而言,pH 值可用作新鲜度指标。牛奶变质时,微生物活动会将乳糖转化为乳酸,产生氢离子(H+),从而降低牛奶的 pH 值。本文提出了一种纸传感器,可通过颜色变化检测冷藏状态(- 4 ℃)下牛奶的 pH 值。聚二乙炔(PDA)/氧化锌(ZnO)纳米复合材料的颜色会随着 pH 值的降低由蓝色变为红色。具体来说,该纳米复合材料被应用于硝化纤维素(NC)膜上,后者已被批准用作食品包装材料,用于在运输过程中或货架上监测新鲜度。通过在 PDA/ZnO@NC 膜上人工添加变质牛奶样品,验证了传感器的新鲜度监测功能。特别是,在低温条件下,PDA/ZnO@NC 膜可在 10 分钟内检测到 pH 值为 4.5 的变质牛奶样品。此外,在检测到变质时,传感器的颜色变化即使在长期储存后也能保持稳定。总之,本研究提出的 PDA/ZnO@NC 膜可广泛应用于低温储存的各种食品的新鲜度监测,这些食品的变质是通过 pH 值来评估的。
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
Biotechnology and Bioprocess Engineering
Biotechnology and Bioprocess Engineering 工程技术-生物工程与应用微生物
CiteScore
5.00
自引率
12.50%
发文量
79
审稿时长
3 months
期刊介绍: Biotechnology and Bioprocess Engineering is an international bimonthly journal published by the Korean Society for Biotechnology and Bioengineering. BBE is devoted to the advancement in science and technology in the wide area of biotechnology, bioengineering, and (bio)medical engineering. This includes but is not limited to applied molecular and cell biology, engineered biocatalysis and biotransformation, metabolic engineering and systems biology, bioseparation and bioprocess engineering, cell culture technology, environmental and food biotechnology, pharmaceutics and biopharmaceutics, biomaterials engineering, nanobiotechnology, and biosensor and bioelectronics.
期刊最新文献
Assessing the applicability of tunicate skin-extracted cellulose as a base material for ultrasound gel Fabrication of protein–inorganic biohybrid as an imageable drug delivery system comprising transferrin, green fluorescent protein, and copper phosphate Continuous cell recycling in methylotrophic yeast Pichia pastoris to enhance product yields: a case study with Yarrowia lipolytica lipase Lip2 Sensitive detection of SARS-CoV2 spike antibodies by a paper-based polypyrrole/reduced graphene oxide sensor A neural ordinary differential equation model for predicting the growth of Chinese Hamster Ovary cell in a bioreactor system
×
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