Yixiong Zhao, Ali Alhaj Abbas, Masoud Sakaki, Gero Bramlage, Guillaume Delaittre, Niels Benson, Thomas Kaiser, Jan C. Balzer
{"title":"用于无线无源生物传感的 3D 打印亚太赫兹光子晶体","authors":"Yixiong Zhao, Ali Alhaj Abbas, Masoud Sakaki, Gero Bramlage, Guillaume Delaittre, Niels Benson, Thomas Kaiser, Jan C. Balzer","doi":"10.1038/s44172-024-00213-4","DOIUrl":null,"url":null,"abstract":"Monitoring pathogens has become a major challenge for society and research in recent years. Of great interest are refractive index sensors, which are based on the interaction between analytes and electromagnetic waves and allow label-free and fast detection. In addition, the electromagnetic waves can be exploited for wireless communication. However, current refractive index biosensors can only be read from a few centimeters. Here, we demonstrate an innovative concept of a passive wireless sensor based on a sub-terahertz photonic crystal resonator. The fabricated sensors have a reading range of up to 0.9 m and elevation and azimuth acceptance angles of around 90°. We demonstrate the stand-off detection of sub-µm thin-film proteins as test analytes. The proposed wireless sensor opens the door to a non-electronic, compact, and low-cost solution and can be extended to a wireless sensor network monitoring airborne pathogen, which may provide a pre-infection detection to prevent their spread efficiently. Yixiong Zhao and co-authors present a passive refractive index sensor based on the sub-terahertz photonic crystal resonator. It serves as a non-electronic, compact, and low-cost solution for distributed remote sensing, applicable in monitoring airborne pathogens for pre-infection detection.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44172-024-00213-4.pdf","citationCount":"0","resultStr":"{\"title\":\"3D printed sub-terahertz photonic crystal for wireless passive biosensing\",\"authors\":\"Yixiong Zhao, Ali Alhaj Abbas, Masoud Sakaki, Gero Bramlage, Guillaume Delaittre, Niels Benson, Thomas Kaiser, Jan C. Balzer\",\"doi\":\"10.1038/s44172-024-00213-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Monitoring pathogens has become a major challenge for society and research in recent years. Of great interest are refractive index sensors, which are based on the interaction between analytes and electromagnetic waves and allow label-free and fast detection. In addition, the electromagnetic waves can be exploited for wireless communication. However, current refractive index biosensors can only be read from a few centimeters. Here, we demonstrate an innovative concept of a passive wireless sensor based on a sub-terahertz photonic crystal resonator. The fabricated sensors have a reading range of up to 0.9 m and elevation and azimuth acceptance angles of around 90°. We demonstrate the stand-off detection of sub-µm thin-film proteins as test analytes. The proposed wireless sensor opens the door to a non-electronic, compact, and low-cost solution and can be extended to a wireless sensor network monitoring airborne pathogen, which may provide a pre-infection detection to prevent their spread efficiently. Yixiong Zhao and co-authors present a passive refractive index sensor based on the sub-terahertz photonic crystal resonator. It serves as a non-electronic, compact, and low-cost solution for distributed remote sensing, applicable in monitoring airborne pathogens for pre-infection detection.\",\"PeriodicalId\":72644,\"journal\":{\"name\":\"Communications engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.nature.com/articles/s44172-024-00213-4.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.nature.com/articles/s44172-024-00213-4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s44172-024-00213-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
3D printed sub-terahertz photonic crystal for wireless passive biosensing
Monitoring pathogens has become a major challenge for society and research in recent years. Of great interest are refractive index sensors, which are based on the interaction between analytes and electromagnetic waves and allow label-free and fast detection. In addition, the electromagnetic waves can be exploited for wireless communication. However, current refractive index biosensors can only be read from a few centimeters. Here, we demonstrate an innovative concept of a passive wireless sensor based on a sub-terahertz photonic crystal resonator. The fabricated sensors have a reading range of up to 0.9 m and elevation and azimuth acceptance angles of around 90°. We demonstrate the stand-off detection of sub-µm thin-film proteins as test analytes. The proposed wireless sensor opens the door to a non-electronic, compact, and low-cost solution and can be extended to a wireless sensor network monitoring airborne pathogen, which may provide a pre-infection detection to prevent their spread efficiently. Yixiong Zhao and co-authors present a passive refractive index sensor based on the sub-terahertz photonic crystal resonator. It serves as a non-electronic, compact, and low-cost solution for distributed remote sensing, applicable in monitoring airborne pathogens for pre-infection detection.