{"title":"解锁前所未有的病毒检测精度与virure:智能手机集成传感器授权的跟踪移动平均算法","authors":"Asmita Gupta , Chansi , Inderpreet Singh , Siddhi Nagar , Ashish Mani , Susanta Sinha Roy , A.V.S.S. Narayana Rao , Sudhir Kapoor , Tinku Basu","doi":"10.1016/j.cjph.2025.09.016","DOIUrl":null,"url":null,"abstract":"<div><div>Viral infections pose a significant global health burden, underscoring the critical need for proactive measures such as vaccination and rapid diagnostics. Complex laboratory procedures involved in traditional viral detection result in delayed diagnosis and treatment. Addressing this challenge, we introduce \"Virusure,\" an innovative ASSURED (Affordable, sensitive, specific, user-friendly, rapid, and robust, equipment-free, and deliverable to end-users) virus sensor designed for swift and accessible detection. This portable device integrates a handheld potentiostat with a smartphone via Bluetooth, enabling rapid (∼30 min) detection of viral proteins in throat swab samples. In response to the recent COVID-19 pandemic caused by the SARS-CoV-2 virus, \"Virusure\" has been specifically calibrated for the detection of the nucleocapsid protein (Npro) of the SARS-CoV-2 virus. The sensor exhibits a broad detection range, equivalent to a viral load of ∼10<sup>6</sup> virus particles per mL, with excellent linearity (R<sup>2</sup> = 0.98). It also demonstrates high analytical performance and a remarkable specificity of minimal cross-reactivity (<10 %) with other common respiratory viruses. To ensure accuracy and reliability, the Trailing Moving Average (MA) algorithm with a window size of 7 (MA7) was implemented using Python's Pandas library. The approach allows “Virusure” to achieve high performance and cost-effectivity. Smartphone integration allows \"Virusure\" to offer a user-friendly interface for convenient self-testing and remote disease monitoring capabilities, holding immense potential in diagnostic and public health care sector.</div></div>","PeriodicalId":10340,"journal":{"name":"Chinese Journal of Physics","volume":"98 ","pages":"Pages 299-313"},"PeriodicalIF":4.6000,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unlock unprecedented accuracy in viral detection with Virusure: A Smartphone integrated sensor empowered by Trailing Moving Average algorithm\",\"authors\":\"Asmita Gupta , Chansi , Inderpreet Singh , Siddhi Nagar , Ashish Mani , Susanta Sinha Roy , A.V.S.S. Narayana Rao , Sudhir Kapoor , Tinku Basu\",\"doi\":\"10.1016/j.cjph.2025.09.016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Viral infections pose a significant global health burden, underscoring the critical need for proactive measures such as vaccination and rapid diagnostics. Complex laboratory procedures involved in traditional viral detection result in delayed diagnosis and treatment. Addressing this challenge, we introduce \\\"Virusure,\\\" an innovative ASSURED (Affordable, sensitive, specific, user-friendly, rapid, and robust, equipment-free, and deliverable to end-users) virus sensor designed for swift and accessible detection. This portable device integrates a handheld potentiostat with a smartphone via Bluetooth, enabling rapid (∼30 min) detection of viral proteins in throat swab samples. In response to the recent COVID-19 pandemic caused by the SARS-CoV-2 virus, \\\"Virusure\\\" has been specifically calibrated for the detection of the nucleocapsid protein (Npro) of the SARS-CoV-2 virus. The sensor exhibits a broad detection range, equivalent to a viral load of ∼10<sup>6</sup> virus particles per mL, with excellent linearity (R<sup>2</sup> = 0.98). It also demonstrates high analytical performance and a remarkable specificity of minimal cross-reactivity (<10 %) with other common respiratory viruses. To ensure accuracy and reliability, the Trailing Moving Average (MA) algorithm with a window size of 7 (MA7) was implemented using Python's Pandas library. The approach allows “Virusure” to achieve high performance and cost-effectivity. Smartphone integration allows \\\"Virusure\\\" to offer a user-friendly interface for convenient self-testing and remote disease monitoring capabilities, holding immense potential in diagnostic and public health care sector.</div></div>\",\"PeriodicalId\":10340,\"journal\":{\"name\":\"Chinese Journal of Physics\",\"volume\":\"98 \",\"pages\":\"Pages 299-313\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chinese Journal of Physics\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0577907325003673\",\"RegionNum\":2,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PHYSICS, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Journal of Physics","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0577907325003673","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
Unlock unprecedented accuracy in viral detection with Virusure: A Smartphone integrated sensor empowered by Trailing Moving Average algorithm
Viral infections pose a significant global health burden, underscoring the critical need for proactive measures such as vaccination and rapid diagnostics. Complex laboratory procedures involved in traditional viral detection result in delayed diagnosis and treatment. Addressing this challenge, we introduce "Virusure," an innovative ASSURED (Affordable, sensitive, specific, user-friendly, rapid, and robust, equipment-free, and deliverable to end-users) virus sensor designed for swift and accessible detection. This portable device integrates a handheld potentiostat with a smartphone via Bluetooth, enabling rapid (∼30 min) detection of viral proteins in throat swab samples. In response to the recent COVID-19 pandemic caused by the SARS-CoV-2 virus, "Virusure" has been specifically calibrated for the detection of the nucleocapsid protein (Npro) of the SARS-CoV-2 virus. The sensor exhibits a broad detection range, equivalent to a viral load of ∼106 virus particles per mL, with excellent linearity (R2 = 0.98). It also demonstrates high analytical performance and a remarkable specificity of minimal cross-reactivity (<10 %) with other common respiratory viruses. To ensure accuracy and reliability, the Trailing Moving Average (MA) algorithm with a window size of 7 (MA7) was implemented using Python's Pandas library. The approach allows “Virusure” to achieve high performance and cost-effectivity. Smartphone integration allows "Virusure" to offer a user-friendly interface for convenient self-testing and remote disease monitoring capabilities, holding immense potential in diagnostic and public health care sector.
期刊介绍:
The Chinese Journal of Physics publishes important advances in various branches in physics, including statistical and biophysical physics, condensed matter physics, atomic/molecular physics, optics, particle physics and nuclear physics.
The editors welcome manuscripts on:
-General Physics: Statistical and Quantum Mechanics, etc.-
Gravitation and Astrophysics-
Elementary Particles and Fields-
Nuclear Physics-
Atomic, Molecular, and Optical Physics-
Quantum Information and Quantum Computation-
Fluid Dynamics, Nonlinear Dynamics, Chaos, and Complex Networks-
Plasma and Beam Physics-
Condensed Matter: Structure, etc.-
Condensed Matter: Electronic Properties, etc.-
Polymer, Soft Matter, Biological, and Interdisciplinary Physics.
CJP publishes regular research papers, feature articles and review papers.