Thuc Anh Ngo, Tanju Yildirim, Meng-Qun Feng, Kosuke Minami, Kota Shiba, Genki Yoshikawa
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引用次数: 0
摘要
在文章2400122中，Thuc Anh Ngo， Genki Yoshikawa及其同事介绍了一种使用基于肽的传感器进行选择性气体分子检测的创新人工鼻子概念。优化的分子模型针对气相相互作用，提高检测精度。这种方法将生物学与先进技术相结合，在医学诊断方面提供了潜在的应用。
Empirical Modification of Force Fields for the Development of Peptide-Based Gas Sensors (Adv. Sensor Res. 4/2025)
Empirical Force Fields Optimization for Gas Dynamics
In article 2400122, Thuc Anh Ngo, Genki Yoshikawa, and co-workers introduce an innovative artificial nose concept using peptide-based sensors for selective gas molecule detection. Optimized molecular modeling targets gas-phase interactions, enhancing detection accuracy. This approach offers potential applications in medical diagnostics, blending biology with advanced technology.
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