Label-free impedimetric immunosensor for point-of-care detection of COVID-19 antibodies

Microsystems & Nanoengineering, Journal Year: 2023, Volume and Issue: 9(1)

Published: Jan. 1, 2023

Abstract The COVID-19 pandemic has posed enormous challenges for existing diagnostic tools to detect and monitor pathogens. Therefore, there is a need develop point-of-care (POC) devices perform fast, accurate, accessible methods infections immune responses. Devices most amenable miniaturization suitable POC applications are biosensors based on electrochemical detection. We have developed an impedimetric immunosensor interdigitated microelectrode array (IMA) SARS-CoV-2 antibodies in human serum. Conjugation chemistry was applied functionalize covalently immobilize the spike protein (S-protein) of surface IMA serve as recognition layer specifically bind anti-spike antibodies. Antibodies bound S-proteins result increase capacitance consequent change impedance system. label-free uses non-Faradaic with low nonperturbing AC voltage sensitivity capacitive can be enhanced by simply tuning ionic strength sample solution. device exhibits LOD 0.4 BAU/ml, determined from standard curve using WHO IS anti-SARS-CoV-2 immunoglobulins; this similar corresponding LODs reported all validated established commercial assays, which range 0.41 4.81 BAU/ml. proof-of-concept biosensor been demonstrated sera patients infected within 1 h.

Language: Английский

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Omicron Variant of SARS-CoV-2: An Indian Perspective of Vaccination and Management

Vaccines, Journal Year: 2023, Volume and Issue: 11(1), P. 160 - 160

Published: Jan. 11, 2023

Omicron variants have highly influenced the entire globe. It has a high rate of transmissibility, which makes its management tedious. There are various subtypes omicron, namely BA.1, BA.2, BA.3, BA.4, and BA.5. Currently, one omicron subvariant BF.7 is also immersed in some parts India. Further studies required for better understanding new immersing SARS-CoV-2 omicron. They differ mutation spike proteins, alters their attachment to host receptor hence modifies virulence adaptability. Delta great disastrous influence on world, especially While overcoming it, another mutant catches pace. The Indian population affected by variants. diagnosis system against COVID-19. demanded forcemeat health care system, both qualitatively quantitively, cope with wave. alteration protein, major target vaccines, leads varied immunization subvariants. efficacy vaccines variant was questioned. Every vaccine had different shielding effect variant. hesitancy vaccination prevalent factor India that might contributed outbreak. prevalence monkeypox, tomato flu shared similarities distinct features when compared population. This review emphasizes changes brings it how outrage this dangerous

Language: Английский

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From the basics to emerging diagnostic technologies: What is on the horizon for tilapia disease diagnostics?

Reviews in Aquaculture, Journal Year: 2023, Volume and Issue: 15(S1), P. 186 - 212

Published: Feb. 1, 2023

Abstract Tilapia is an affordable protein source farmed in over 140 countries with the majority of production low‐ and middle‐income countries. Intensification tilapia farming has exacerbated losses caused by emerging re‐emerging infectious diseases. Disease diagnostics play a crucial role biosecurity health management to mitigate disease loss improve animal welfare aquaculture. Three continuous levels (I, II III) for aquatic species have been proposed Food Agriculture Organization United Nations (FAO) Network Aquaculture Centers Asia Pacific (NACA) promote integration basic advanced methods achieve accurate meaningful interpretation diagnostic results. However, recent proliferation cutting‐edge molecular applied diagnosis diseases aquacultured animals shifted focus researchers users away from approaches toward diagnostics, despite fact that many can be rapidly diagnosed using inexpensive, simple microscopic examination most aquaculture were discovered histopathology. This review, therefore, revisits highlights importance three tilapia, particularly frequently overlooked procedures (e.g., case history records, gross pathology, presumptive histopathology). The review also covers current technologies pathogens including polymerase chain reaction (conventional, quantitative, digital), isothermal amplification Loop‐mediated Isothermal Amplification (LAMP), recombinase (RPA), clustered regularly interspaced short palindromic repeats (CRISPR)‐based detection, lateral flow immunoassays, as well discussing what on horizon (next generation sequencing, artificial intelligence, environmental Deoxyribonucleic Acid (DNA) Ribonucleic (RNA) point‐of‐care testing) providing future vision transferring these farmers stakeholders sustainable food system transformation.

Language: Английский

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The development of an electrochemical immunosensor utilizing chicken IgY anti-spike antibody for the detection of SARS-CoV-2

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Jan. 7, 2024

Abstract This paper introduces a novel approach for detecting the SARS-CoV-2 recombinant spike protein combining label free electrochemical impedimetric immunosensor with use of purified chicken IgY antibodies. The sensor employs three electrodes and is functionalized an anti-S antibody, ELISA immunoblot assays confirmed positive response immunized SARS-CoV2 S antigen. developed effective in nasopharyngeal clinical samples from suspected cases. key advantage this biosensor its remarkable sensitivity, capability very low concentrations target analyte, detection limit 5.65 pg/mL. attribute makes it highly suitable practical point-of-care (POC) applications, particularly analyte count scenarios, without requiring amplification. Furthermore, has wide dynamic range detection, spanning 11.56 to 740 ng/mL, which applicable sample analysis typical setting.

Language: Английский

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SAM: Self-augmentation mechanism for COVID-19 detection using chest X-ray images

Knowledge-Based Systems, Journal Year: 2022, Volume and Issue: 241, P. 108207 - 108207

Published: Jan. 17, 2022

COVID-19 is a rapidly spreading viral disease and has affected over 100 countries worldwide. The numbers of casualties cases infection have escalated particularly in with weakened healthcare systems. Recently, reverse transcription-polymerase chain reaction (RT-PCR) the test choice for diagnosing COVID-19. However, current evidence suggests that infected patients are mostly stimulated from lung after coming contact this virus. Therefore, chest X-ray (i.e., radiography) CT can be surrogate some where PCR not readily available. This forced scientific community to detect images recently proposed machine learning methods offer great promise fast accurate detection. Deep convolutional neural networks (CNNs) been successfully applied radiological imaging improving accuracy diagnosis. performance remains limited due lack representative available public benchmark datasets. To alleviate issue, we propose self-augmentation mechanism data augmentation feature space rather than using reconstruction independent component analysis (RICA). Specifically, unified architecture which contains deep network (CNN), mechanism, bidirectional LSTM (BiLSTM). CNN provides high-level features extracted at pooling layer chooses most relevant generates low-dimensional augmented features. Finally, BiLSTM used classify processed sequential information. We conducted experiments on three publicly databases show approach achieves state-of-the-art results 97%, 84% 98%. Explainability carried out visualization through PCA projection t-SNE plots.

Language: Английский

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AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breath

Pattern Recognition, Journal Year: 2022, Volume and Issue: 127, P. 108656 - 108656

Published: March 15, 2022

Language: Английский

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Influenza A, Influenza B, and SARS-CoV-2 Similarities and Differences – A Focus on Diagnosis

Frontiers in Microbiology, Journal Year: 2022, Volume and Issue: 13

Published: June 20, 2022

In late December 2019, the first cases of viral pneumonia caused by an unidentified pathogen were reported in China. Two years later, SARS-CoV-2 was responsible for almost 450 million cases, claiming more than 6 lives. The COVID-19 pandemic strained limits healthcare systems all across world. Identifying RNA through real-time reverse transcription-polymerase chain reaction remains gold standard diagnosing infection. However, equipment cost, availability, and need trained personnel limited testing capacity. Through unprecedented research effort, new diagnostic techniques such as rapid testing, isothermal amplification techniques, next-generation sequencing developed, enabling accurate accessible diagnosis. Influenza viruses are seasonal outbreaks infecting up to a quarter human population worldwide. present with flu-like symptoms, making differential diagnosis challenging solely on clinical presentation. Healthcare likely be faced overlapping outbreaks. This review aims similarities differences both infections while focusing We discuss presentation available Furthermore, we summarize data regarding multiplex assay infections.

Language: Английский

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Sustainable materials and COVID-19 detection biosensor: A brief review

Sensors International, Journal Year: 2022, Volume and Issue: 3, P. 100171 - 100171

Published: Jan. 1, 2022

COVID-19 is the current global problem. Billions of infected cases due to pandemic cause an emergency requirement contain pandemic. A basic concept manage outbreak early diagnosis and prompt treatment. To diagnose COVID-19, new biosensors become interventions that are hopeful help effective diagnosis. In clinical material science, issues on materials detection biosensor very interesting. this brief review, authors summarize discuss sustainable biosensor. The paper, cellulose graphene - based specifically focused for RNA sensing, antigenic determination immune response covered in short article.

Language: Английский

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Liquid Biopsy and Circulating Biomarkers for the Diagnosis of Precancerous and Cancerous Oral Lesions

Non-Coding RNA, Journal Year: 2022, Volume and Issue: 8(4), P. 60 - 60

Published: Aug. 10, 2022

Oral cancer is one of the most common malignancies worldwide, accounting for 2% all cases annually and 1.8% deaths. To date, tissue biopsy histopathological analyses are gold standard methods diagnosis oral cancers. However, generally diagnosed at advanced stages with a consequent poor 5-year survival (~50%) due to limited screening programs inefficient physical examination strategies. address these limitations, liquid recently emerging as novel minimally invasive tool early identification tumors well evaluation tumor heterogeneity prognosis patients. Several studies have demonstrated that in could be useful detection circulating biomarkers including DNA (ctDNA), microRNAs (miRNAs), proteins, exosomes, thus improving diagnostic strategies paving way personalized medicine. application still further needed better clarify its clinical impact. The present manuscript aims provide an updated overview potential use additional management lesions by describing available methodologies promising biomarkers.

Language: Английский

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Supervised Learning Models for the Preliminary Detection of COVID-19 in Patients Using Demographic and Epidemiological Parameters

Information, Journal Year: 2022, Volume and Issue: 13(7), P. 330 - 330

Published: July 10, 2022

The World Health Organization labelled the new COVID-19 breakout a public health crisis of worldwide concern on 30 January 2020, and it was named global pandemic in March 2020. It has had catastrophic consequences world economy well-being people put tremendous strain already-scarce healthcare systems globally, particularly underdeveloped countries. Over 11 billion vaccine doses have already been administered worldwide, benefits these vaccinations will take some time to appear. Today, only practical approach diagnosing is through RT-PCR RAT tests, which sometimes known give unreliable results. Timely diagnosis implementation precautionary measures likely improve survival outcome decrease fatality rates. In this study, we propose an innovative way predict with help alternative non-clinical methods such as supervised machine learning models identify patients at risk based their characteristic parameters underlying comorbidities. Medical records from Mexico admitted between 23 2020 26 2022, were chosen for purpose. Among several approaches tested, XGBoost model achieved best results accuracy 92%. easy, non-invasive, inexpensive, instant accurate forecasting those contracting virus. However, pretty early deduce that method can be used clinical coronavirus cases.

Language: Английский

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