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一种用于智能包装的基于生物质的比色二氧化硫气体传感器。

A Biomass-Based Colorimetric Sulfur Dioxide Gas Sensor for Smart Packaging.

作者信息

Yuan Liubo, Gao Meng, Xiang Hubing, Zhou Zihan, Yu Dongqing, Yan Ruixiang

机构信息

College of Light Industry Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, People's Republic of China.

State Key Laboratory of Biobased Fiber Manufacturing Technology, Tianjin University of Science and Technology, Tianjin 300457, People's Republic of China.

出版信息

ACS Nano. 2023 Apr 11;17(7):6849-6856. doi: 10.1021/acsnano.3c00530. Epub 2023 Mar 27.

DOI:10.1021/acsnano.3c00530
PMID:36971497
Abstract

Sulfur dioxide (SO) gas, which can effectively prohibit the growth of pathogenic microorganisms, has been internationally used in commercial food packaging to maintain high-quality food and reduce the incidence of foodborne illnesses. However, the current mainstream methods for SO detection are either large and expensive instruments or synthesized chemical-based labels, which are not suitable for large-scale gas detection in food packaging. Recently, we discovered that petunia dye (PD), which is extracted from natural petunia flowers, demonstrates a highly sensitive colorimetric response to SO gas with its total color difference (Δ) modulation reaching up to 74.8 and detection limit down to 1.52 ppm. To apply the extracted petunia dye in smart packaging for real-time gas sensing and food-quality prediction, a flexible and freestanding PD-based SO detection label is prepared by incorporating PD in biopolymers and assembling the films through a layer-by-layer approach. The developed label is utilized to predict grapes' quality and safety by monitoring the embedded SO gas concentration. The developed colorimetric SO detection label could potentially be used as an intelligent gas sensor for food status prediction in daily life, food storage, and supply chains.

摘要

二氧化硫(SO)气体能够有效抑制病原微生物的生长,已在国际上用于商业食品包装,以保持食品的高品质并降低食源性疾病的发生率。然而,目前主流的SO检测方法要么是大型且昂贵的仪器,要么是基于合成化学的标签,均不适用于食品包装中的大规模气体检测。最近,我们发现从天然矮牵牛花中提取的矮牵牛染料(PD)对SO气体表现出高度灵敏的比色响应,其总色差(Δ)调制高达74.8,检测限低至1.52 ppm。为了将提取的矮牵牛染料应用于智能包装以进行实时气体传感和食品质量预测,通过将PD掺入生物聚合物并采用逐层组装的方法制备了一种柔性且独立的基于PD的SO检测标签。通过监测嵌入的SO气体浓度,利用所开发的标签来预测葡萄的质量和安全性。所开发的比色SO检测标签有可能用作日常生活、食品储存和供应链中食品状态预测的智能气体传感器。

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