Li Mingjia, Zeng Gaoshan, You Haoyue, Xi Ding, Huang Hui, Kou Xin, Farid Amjad, Zhao Yongpeng
College of Mechanical and Electrical Engineering, Sichuan Agricultural University, Ya'an 625000, China.
College of Resources, Sichuan Agricultural University, Chengdu 611130, China.
Nanomaterials (Basel). 2025 Jun 25;15(13):987. doi: 10.3390/nano15130987.
Recent advancements in biomarker technology have revolutionized diagnostic and monitoring applications, yet their potential in food quality assessment remains largely untapped. Herein, we report a breakthrough in gas-sensitive nanocomposite engineering through the design of α-FeO-NiO heterostructures synthesized via a single-step hydrothermal protocol. The introduction of NiO led to increased oxygen vacancies and active sites, thereby reducing the sensor's operating temperature. Additionally, the P-N heterojunction structure promoted the redistribution of electrons and hole, thus enhancing its conductivity. The optimized sensor exhibited high sensitivity (75.5% at 100 ppm), fast response/recovery (20 s/92 s), and perfect selectivity for NH at room temperature. In the end, based on this sensor and combined with a Programmable Logic Controller (PLC), a rapid and nondestructive meat spoilage detection system was constructed to reflect the degree of spoilage of meat with the help of NH concentration, providing a valuable strategy for the application of biomarker detection in the food industry.
生物标志物技术的最新进展彻底改变了诊断和监测应用，但其在食品质量评估中的潜力仍 largely 未被挖掘。在此，我们报告了通过一步水热法合成的 α-FeO-NiO 异质结构设计实现气敏纳米复合材料工程的一项突破。NiO 的引入导致氧空位和活性位点增加，从而降低了传感器的工作温度。此外，P-N 异质结结构促进了电子和空穴的重新分布，从而提高了其导电性。优化后的传感器在室温下对 NH 表现出高灵敏度（100 ppm 时为 75.5%）、快速响应/恢复（20 s/92 s）和完美的选择性。最后，基于该传感器并结合可编程逻辑控制器（PLC），构建了一种快速无损的肉类腐败检测系统，借助 NH 浓度反映肉类的腐败程度，为生物标志物检测在食品工业中的应用提供了有价值的策略。
