人工鼻子的開發主要應用在食品加工的品質監控,檢測藥品及其毒性,感測爆炸物和非法危險的物質。而人工鼻子吸引的族群以食品業、製藥業、礦產業、飲料業和其他需要品質監控的產業。 我們嘗試模仿哺乳類鼻子的工作原理,大腦辨別的是由信號所構成的指紋(這些信號來自於嗅小球),而並非是特定的細胞所發布的單一訊號。 同理地,人工鼻子是由許多的感測器所構成的,而非單一感測器所構成,所以人工鼻子給予的是指紋辨認而不是單一訊號辨認。 在這項研究中,金屬有機骨架材料顯示突出優點為吸附能力和受客體影響的發光性能,從而表現出具有感測的潛力,此潛力應用於仿生物鼻子。人工鼻子不同於仿生物鼻子,因為無法在同時藉由分子的幾何結構和官能基來辨別吸附物。 最後,我們試圖提高辨識度,藉由兩種金屬有機骨架材料(如果種類越多,辨認效果越好)作為研究的主體,並且採用主成分分析(PCA)來處理數據,也從元件的觀念作為出發點,由填充式管柱發展至薄膜來降低空間的佔據。 The development of artificial noses are mainly for the quality control in food processing, detection and diagnosis in medicine and detection of drugs, explosives and dangerous or illegal substances. Artificial noses are keen by the food, pharmaceutical, TNT and beverage industry and any other trade in which monitoring for control quality of products is essential. We tried to mimic the working principles of a mammalian nose. The brain recognized the “fingerprint” an ensemble of signals (coming from all the glomeruli) and not a single response from one specific cell. Similarly, the artificial nose was made by an array of sensors instead of a single sensor, and the analysis of a composite fingerprint instead of separate individual signals. In this study, the metal organic frameworks displayed outstanding advantages of the capability of adsorption and guest-dependent luminescent property, thus exhibiting potential sensing application as the biomimetic nose. Normally, an artificial nose was, unlike biomimetic nose, did not discriminate the analytes by molecular geometry and functionality at the same time. Finally, we tried to enhance the discrimination by exposing analytes to two MOFs (the more the betters) and analyzing the data using principal component analysis (PCA), and developed a concept device from a packed column to a thin film, and it decreased the volume of occupation.