Related Experiment Video For 3D liver models
Updated: Sep 16, 2025

Evaluation of a Reliable Biomarker in a Cecal Ligation and Puncture-Induced Mouse Model of Sepsis
Published on: December 9, 2022
Electrochemical Biosensors for Sepsis Detection in Liver Cirrhosis: Advances and Insights
Manleen Kaur1, Neetu Singh1,2
1Centre for Biomedical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India.
Abstract:
Liver cirrhosis, a progressive disease caused by chronic liver conditions, significantly increases the risk of sepsis due to immune dysfunction. The overlapping symptoms of cirrhosis and sepsis make early diagnosis particularly challenging, emphasizing the need for reliable biomarker diagnostic tools. Conventional methods are slow and result in delayed treatment, deteriorating liver function in cirrhotic patients over time. Electrochemical biosensors have emerged as promising solutions, offering rapid and precise detection of both host- and pathogen-related proteins. These platforms overcome many limitations of traditional diagnostic methods, providing enhanced sensitivity and specificity. Furthermore, the ability of the electrochemical platform to simultaneously detect multiple biomarkers has improved the sensor's reliability for comprehensive point-of-care diagnostics in clinical settings. Despite challenges, such as standardizing diagnostic thresholds and addressing operational barriers, electrochemical sensors have the potential to transform the detection and management of sepsis in liver cirrhosis. This perspective highlights the potential of the electrochemical platforms established over time to improve diagnostic precision and therapeutic strategies in managing liver-related bacterial sepsis.
More Related Videos
13:42Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation
Published on: September 19, 2017
11:02Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
Published on: November 29, 2024