Pub Date : 2024-06-25DOI: 10.1109/OJNANO.2024.3418840
K S Jaya Lakshmi;Ramya K;Khairunnisa Amreen;Sanket Goel
Globally, a contemporary trend is towards the realization of sustainable, eco-friendly, miniaturized, and cost-effective sensors. This work focuses on developing a plug-and-play device using inexpensive and biodegradable UV resin fed 3D printing stereolithography (SLA) to produce miniaturized microfluidic platforms for electrochemical sensing. The device consists of three compartments designed to accommodate the 3-electrodes according to the need. SLA 3D printing technique solves these restrictions, making sensors reliable, repeatable, and durable. For electrochemical detection at the point of need or as a lab-on-chip (LoC) platform with minimal sample volume, this work attempts to construct a flexible as well as non-flexible microelectrode setup. The analytical capability of the platform is examined by quantifying nanomolar levels of dopamine in human body fluids. Chronoamperometry and cyclic voltammetry on surface-treated graphene-poly lactic acid (g-PLA) microelectrodes modified with gold nanoparticles are carried out utilizing a handheld potentiostat. The designed device has a linear range of 0.1 to 120 nM with limit of detection and limit of quantification of 0.083 and 0.27 nM, respectively. Various electrode characterizations, including scanning electron microscopy, energy-dispersive X-ray spectroscopy, and electrochemical impedance spectroscopy are carried out. The developed device is finally tested for real-time analysis on human blood and serum samples.
在全球范围内,实现传感器的可持续、生态友好、微型化和成本效益是当今的发展趋势。这项工作的重点是开发一种即插即用的装置,利用廉价且可生物降解的 UV 树脂喂入 3D 打印立体光刻(SLA)技术,生产用于电化学传感的微型化微流控平台。该装置由三个隔间组成,可根据需要容纳 3 个电极。SLA 三维打印技术解决了这些限制,使传感器可靠、可重复、耐用。为了在需要时进行电化学检测,或将其作为具有最小样品体积的片上实验室(LoC)平台,这项工作尝试构建一个灵活和非灵活的微电极装置。通过量化人体液中纳摩尔水平的多巴胺,检验了该平台的分析能力。利用手持式恒电位仪对经表面处理的、用金纳米粒子修饰的石墨烯-聚乳酸(g-PLA)微电极进行了时程测量和循环伏安法测定。所设计的装置线性范围为 0.1 至 120 nM,检出限和定量限分别为 0.083 nM 和 0.27 nM。还进行了各种电极表征,包括扫描电子显微镜、能量色散 X 射线光谱和电化学阻抗光谱。最后对所开发的装置进行了测试,以便对人体血液和血清样本进行实时分析。
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Pub Date : 2024-06-14DOI: 10.1109/OJNANO.2024.3414955
Pilin Junsangsri;Fabrizio Lombardi
In most nanoscale stochastic computing designs, the Stochastic Number Generator (SNG) circuit is complex and occupies a significant area because each copy of a stochastic variable requires its own dedicated (and independent) stochastic number generator. This article introduces a novel approach for pseudo-random number generators (RNGs) to be used in SNGs. The proposed RNG design leverages the inherent randomness between each bit of data to generate larger sets of random numbers by concatenating the modules of the customized linear feedback shift registers. To efficiently generate random data, a plane of RNGs (comprising of multiple modules) is introduced. A sliding window approach is employed for reading data in both the horizontal and vertical directions; therefore, the sets of random numbers are generated by doubling the datasets and inverting the duplicated datasets. Flip-Flops are utilized to isolate the datasets and diminish correlation among them. This paper explores variations in parameters to evaluate their impact on the performance of the proposed design. A comparative analysis between the proposed design and existing SNG designs from technical literature is presented. The results show that the proposed nanoscale RNG design offers many advantages such as small area per RNG, low power operation, generated large datasets and higher accuracy.
{"title":"Pseudo-Random Number Generators for Stochastic Computing (SC): Design and Analysis","authors":"Pilin Junsangsri;Fabrizio Lombardi","doi":"10.1109/OJNANO.2024.3414955","DOIUrl":"10.1109/OJNANO.2024.3414955","url":null,"abstract":"In most nanoscale stochastic computing designs, the Stochastic Number Generator (SNG) circuit is complex and occupies a significant area because each copy of a stochastic variable requires its own dedicated (and independent) stochastic number generator. This article introduces a novel approach for pseudo-random number generators (RNGs) to be used in SNGs. The proposed RNG design leverages the inherent randomness between each bit of data to generate larger sets of random numbers by concatenating the modules of the customized linear feedback shift registers. To efficiently generate random data, a plane of RNGs (comprising of multiple modules) is introduced. A sliding window approach is employed for reading data in both the horizontal and vertical directions; therefore, the sets of random numbers are generated by doubling the datasets and inverting the duplicated datasets. Flip-Flops are utilized to isolate the datasets and diminish correlation among them. This paper explores variations in parameters to evaluate their impact on the performance of the proposed design. A comparative analysis between the proposed design and existing SNG designs from technical literature is presented. The results show that the proposed nanoscale RNG design offers many advantages such as small area per RNG, low power operation, generated large datasets and higher accuracy.","PeriodicalId":446,"journal":{"name":"IEEE Open Journal of Nanotechnology","volume":"5 ","pages":"57-67"},"PeriodicalIF":1.8,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10557718","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141945915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The healthcare industry is constantly changing because of technological breakthroughs that spur new methods of diagnosing and treating illnesses. This study investigates the development of Ion Sensitive Field Effect Transistor (ISFET) sensors for DNA-based blood cancer diagnosis. This work presents the design of a two-dimensional ion-sensitive field-effect transistor. Concentration fluctuations and transfer characteristics with different oxides are studied using blood from two electrolyte solutions. It is possible to evaluate how the modeled device can be utilized as a pH sensor or a biosensor in healthcare applications by looking at how the pH changes for different oxides. Additionally, several oxides were examined in the simulated ISFET devices' output characteristics. Blood is the electrolyte to study the device's sensitivity for different oxides. When pH 7.4 is considered, SiO 2