حضور فعال شرکت حسگرسازان نور گستر (پلاسنس) در کنگره بین المللی زنان تاثیر گذار
در این مراسم که به میزبانی از بانوان تاثیر گذار از کشورهای مختلف و در تاریخ سی ام دیماه ۱۴۰۱ در محل نمایشگاه بین المللی تهران برنامه ریزی شد، شرکت پلاسنس (حسگر سازان نورگستر) در غرفه وزارت علوم، تحقیقات و فناوری با دستاوردهایی شامل محصولات شرکت های دانش بنیان و ثبت اختراع حضور فعال داشتند
حضور فعال شرکت حسگرسازان نورگستر (پلاسنس) در نخستین رویداد زنان متخصص دانش بنیان
نخستین رویداد «زنان متخصص دانش بنیان» باحضور نمایندگان مجلس، نماینده معاونت علمی و فناوری ریاست جمهوری و فعالان این عرصه در بیست و دوم دی ماه 1401 برگزار شد. این همایش متشکل از پنلهای مختلف برای بررسی مشکلات حوزه زنان متخصص و دانش بنیان، نمایشگاه فعالیتهای شرکتهای برتر و همافزایی متخصصان فعال بود
در این مراسم، شرکت پلاسنس (حسگر سازان نورگستر) در غرفه نمایشگاهی با دستاوردهایی شامل محصولات شرکت های دانش بنیان حضور فعال داشتند و از محصولات خود شامل طیف سنج پلاسمونی تمام اتوماتیک، سلول های بخار گرم اتم روبیدیوم، کووت و عینکهای تصحیح کوررنگی رونمایی کردند
In these days, the Journal of Opto-Electronic Advances published a new paper entitled as “Tailoring spatiotemporal dynamics of plasmonic vortices”
A plasmonic vortex is an optical field distribution with topological features formed by interfering surface plasmons, which enriches the class of vortex phenomena in nature. Due to their special orbital angular momentum feature in the evanescent field region, plasmonic vortices hold great promises for many cutting-edge applications, such as plasmonic tweezers for microparticle manipulations and on-chip quantum information processing. The generation methods and evolution dynamics of plasmonic vortices have thus elicited great research enthusiasm in the last decade, which have provided many insights into the nature of plasmonic vortex and rapidly promoted the related applications forward.
For plasmonic vortex generation, the most common method is constructing special couplers and utilizing the design degrees of freedoms of propagation phase and geometric phase to convert circularly polarized light carrying spin angular momentum into on-chip plasmonic vortex. Despite the sole or combined use of propagation and geometric phase can all achieve plasmonic vortex of target topological charge, the actual differences of their spatiotemporal dynamics have remained unexplored. For characterization methods, the currently used photoemission electron microscopy and nonlinear near-field optical microscopy are limited by the probing principle and optical systems, thus can hardly obtain the exact evolution dynamics. The research documented by this article mainly focused on the objective characterization of plasmonic vortex and the subjectively tailoring of its spatiotemporal dynamics for specific applications has not been achieved. The research group from Tianjin University, Guilin University of Electronic Technology and authors of this article propose a new method to tailor the spatiotemporal dynamics of plasmonic vortices. It is demonstrated that the plasmonic vortices with the same topological charge can be endowed with distinct spatiotemporal dynamics by simply changing the coupler design (Fig 1). The full amplitude and phase information of surface plasmons fields and the exact evolution dynamics with ultrahigh temporal resolution were directly obtained based on a near-field scanning terahertz microscopy.
In these days, the Journal of Optical and Quantum Electronics published a new paper entitled as “Highly sensitive detection of infected red blood cells (IRBCs) with plasmodium falciparum using surface plasmon resonance (SPR) nanostructure”
Plasmodium falciparum infections are the most common cause of malaria-related deaths. A significant difference between red blood cells with and without infection can be seen in their refractive indices, which can be used as a key indicator in the diagnosis of this disease. In this manuscript, a surface plasmon resonance (SPR)-based biosensor is suggested theoretically for the detection of infected red blood cells (IRBCs) with Plasmodium Falciparum. The proposed SPR sensor has the configuration: BK7 prism/Ag/BiFeO3/2Dnanomaterials/ analyte. The suggested SPR sensor has a (BiFeO3) layer located between the metal (Ag) and 2D-nanomaterials to realize higher sensitivity. BiFeO3 layer exhibits outstanding characteristics, such as high index of refraction and small loss and has shown a significant shift in resonance angle within a minute variation in the analyte’s refractive index. A variety of 2D materials, including MXene, Graphene, and Black Phosphor, are used to cover the surface of the SPR structure in order to develop the efficiency of the detector. The suggested detector can demonstrate an extremely high sensitivity of 461.43 deg/RIU by adjusting the thicknesses of Ag, BiFeO3, and the quantity of 2D-nanomaterial layers. The suggested SPR-based biosensor is hopeful for use in various sectors of biosensing due to its extraordinarily high sensitivity.
In these days, the Journal of ACS Sensors published a new paper entitled as “Multiarray Biosensor for Diagnosing Lung Cancer Based on Gap Plasmonic Color Films”
ABSTRACT: Adaptable and sensitive materials are essential for the development of advanced sensor systems such as bio and chemical sensors. Biomaterials can be used to develop multifunctional biosensor applications using genetic engineering. In particular, a plasmonic sensor system using a coupled film nanostructure with tunable gap sizes is a potential candidate in optical sensors because of its simple fabrication, stability, extensive tuning range, and sensitivity to small changes. Although this system has shown a good ability to eliminate humidity as an interferant, its performance in real-world environments is limited by low selectivity. To overcome these issues, we demonstrated the rapid response of gap plasmonic color sensors by utilizing metal nanostructures combined with genetically engineered M13 bacteriophages to detect volatile organic compounds (VOCs) and diagnose lung cancer from breath samples. The M13 bacteriophage was chosen as a recognition element because the structural protein capsid can readily be modified to target the desired analyte. Consequently, the VOCs from various functional groups were distinguished by using a multiarray biosensor based on a gap plasmonic color film observed by hierarchical cluster analysis. Furthermore, the lung cancer breath samples collected from 70 healthy participants and 50 lung cancer patients were successfully classified with a high rate of over 89% through supporting machine learning analysis.