刘慧文,王凯强.比色-表面增强拉曼散射双信号输出指示标签对凡纳滨对虾新鲜度的实时监测[J].食品安全质量检测学报,2025,16(13):8-17 |
比色-表面增强拉曼散射双信号输出指示标签对凡纳滨对虾新鲜度的实时监测 |
Real-time monitoring of freshness of Litopenaeus vannamei by colorimetric-surface-enhanced Raman scattering dual signal output indicator labels |
投稿时间:2025-03-24 修订日期:2025-05-12 |
DOI: |
中文关键词: 比色 SERS 花青素 UiO-66 新鲜度 水产品 |
英文关键词:colorimetric surface-enhanced Raman scattering anthocyanins UiO-66 freshness seafood |
基金项目:国家自然科学基金(32102065);国家海水鱼产业技术体系(CARS-47) |
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中文摘要: |
目的 开发一种灵敏且稳定的双信号输出指示标签, 并实现对凡纳滨对虾(Litopenaeus vannamei)新鲜度的实时监测。方法 基于聚乙烯醇(polyvinyl alcohol, PVA)/琼脂复合基质, 结合花青素(anthocyanins, ACNs)、银包金纳米颗粒(Au@AgNPs)与金属有机框架材料UiO-66, 通过浇铸法制备双信号输出指示标签。其次, 通过储藏稳定性、紫外稳定性以及防迁移性实验考察UiO-66对标签的增稳作用。以氨气、二甲胺和三甲胺为特征挥发性标志物, 评估标签的气敏响应性能。最终将其应用于凡纳滨对虾的新鲜度实时监测。结果 相对于未添加UiO-66的标签, UiO-66的加入有效固定了ACNs, 提升了标签的紫外稳定性和储藏稳定性。此外, 该标签对氨及胺类气体表现出优异的响应能力。在凡纳滨对虾新鲜度监测应用中, 指示标签的颜色随凡纳滨对虾新鲜度变化从紫红色逐渐变为蓝绿色。基于表面增强拉曼散射(surface-enhanced Raman scattering, SERS)信号建立的偏最小二乘回归(partial least square regression, PLSR)模型对挥发性盐基氮(total volatile base nitrogen, TVB-N)值的预测性能优异, 其中校正集决定系数(calibrated coefficient of determination, R2C)为0.951, 交叉验证集决定系数(cross-validated coefficient of determination, R2CV)为0.899, 预测集决定系数(predicted coefficient of determination, R2P)为0.966, 残差预测偏差(residual prediction deviation, RPD)为4.765。结论 本研究构建了一种比色-SERS双信号输出指示标签, 可同步实现凡纳滨对虾新鲜度可视化鉴别与TVB-N值的高灵敏度预测, 为新型的食品智能包装的设计提供了参考。 |
英文摘要: |
Objective To develop a sensitive and stable dual signal output indicator label and realize real-time monitoring of the freshness of Litopenaeus vannamei. Methods Based on polyvinyl alcohol (PVA)/agar composite matrix combining anthocyanins (ACNs), silver coated gold nanoparticles (Au@AgNPs) and the metal organic framework material UiO-66, the dual signal output indicator labels were prepared by casting method. Next, the stabilizing effect of UiO-66 on the labels was investigated by storage stability, ultraviolet stability and anti-migration experiments. Ammonia, dimethylamine and trimethylamine were used as characteristic volatile markers to evaluate the gas sensitive response performance of the labels. Ultimately, the label was applied to real-time monitoring of the freshness of Litopenaeus vannamei. Results Compared to labels without UiO-66, the addition of UiO-66 effectively immobilized the anthocyanins and improved the UV stability and storage stability of the label. In addition, the label showed excellent responsiveness to ammonia and amine gases. In the application of freshness monitoring of Litopenaeus vannamei, the color of the indicator label gradually changed from purplish-red to bluish-green with the change of freshness of Litopenaeus vannamei. The partial least squares regression (PLSR) model based on the surface-enhanced Raman scattering (SERS) signals showed excellent prediction performance for the total volatile basic nitrogen (TVB-N) values, with a correction set coefficient of calibrated coefficient of determination (R2C) of 0.951, cross-validated coefficient of determination (R2CV) of 0.899, predicted coefficient of determination (R2P) of 0.966, and residual prediction deviation (RPD) of 4.765. Conclusion A colorimetric-SERS dual-signal output indicator label is developed in this study. The label enable simultaneous visual identification of the freshness of Litopenaeus vannamei and high-sensitivity prediction of TVB-N values, providing a reference for the design of novel intelligent food packaging systems. |
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