NEST, Istituto Nanoscienze-CNR and Scuola Normale Superiore, Piazza San Silvestro 12, I-56127, Pisa, Italy.
Department of Civil and Industrial Engineering, University of Pisa, Largo L. Lazzarino 2, I-56122, Pisa, Italy.
Nat Commun. 2020 Nov 25;11(1):5991. doi: 10.1038/s41467-020-19676-y.
Spoiled perishable products, such as food and drugs exposed to inappropriate temperature, cause million illnesses every year. Risks range from intoxication due to pathogen-contaminated edibles, to suboptimal potency of temperature-sensitive vaccines. High-performance and low-cost indicators are needed, based on conformable materials whose properties change continuously and irreversibly depending on the experienced time-temperature profile. However, these systems can be limited by unclear reading, especially for colour-blind people, and are often difficult to be encoded with a tailored response to detect excess temperature over varying temporal profiles. Here we report on optically-programmed, non-colorimetric indicators based on nano-textured non-wovens encoded by their cross-linking degree. This combination allows a desired time-temperature response to be achieved, to address different perishable products. The devices operate by visual contrast with ambient light, which is explained by backscattering calculations for the complex fibrous material. Optical nanomaterials with photo-encoded thermal properties might establish new design rules for intelligent labels.
变质食品和药品等易腐产品如果暴露在不适宜的温度下,每年会导致数百万人患病。这些风险的范围从因食用受病原体污染的食物而中毒,到对温度敏感的疫苗效力降低不等。需要高性能和低成本的指标,这些指标基于顺应性材料,其特性会根据所经历的时间-温度曲线不断且不可逆地发生变化。然而,这些系统可能会受到读数不清晰的限制,尤其是对色盲人群,并且通常难以针对不同的时间温度曲线进行编码以检测超过温度上限的情况。在这里,我们报告了基于纳米结构无纺物的光编程非比色指示剂,这些无纺物通过其交联程度进行编码。这种组合可以实现所需的时-温响应,以应对不同的易腐产品。这些器件通过与环境光的视觉对比来工作,这可以通过对复杂纤维材料的后向散射计算来解释。具有光编码热性能的光学纳米材料可能会为智能标签建立新的设计规则。