PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 15, 2026Microchimica Acta0 citationsOpen Access

Built-in thiol mesoporous carbon immunosensor to detect carcinoembryonic antigen in human serum

DEDanilo Franco EcheverriJLJennifer LaverdeLRLuis Gerónimo Restrepo

Key Points

  • The research aims to develop an electrochemical immunosensor for the detection of carcinoembryonic antigen (CEA) in human serum.
  • Utilized a thiol-mesoporous carbon architecture functionalized with 3-maleimidepropionic acid.
  • Immobilized anti-CEA antibodies for specific detection.
  • Characterized using advanced techniques like scanning electron microscopy and electrochemical impedance spectroscopy.
  • Monitored biorecognition using differential pulse voltammetry.
  • Achieved a linear detection range of 1–10 ng mL-1 for CEA.
  • Obtained a clinically relevant limit of detection at 1.02 ng mL-1.
  • Successfully detected CEA in human serum, with results comparable to standard methods.

Abstract

A label-free electrochemical immunosensor for carcinoembryonic antigens (CEA) detection is reported based on a built-in thiol-mesoporous carbon architecture. The material was functionalized with 3-maleimidepropionic acid to immobilize anti-CEA antibodies. The immunosensor was characterized using field-emission scanning electron microscopy, X-ray photoelectron spectroscopy, cyclic voltammetry, and electrochemical impedance spectroscopy. Biorecognition events were monitored by differential pulse voltammetry, with current intensity dependent on protein concentration. The device exhibited a linear range of 1–10 ng mL-1 for CEA, with a clinically relevant limit of detection of 1.02 ng mL-1. The immunosensor successfully detected CEA in human serum samples, with results comparable to those obtained by a standard spectrophotometric method. This platform has proven to be a promising alternative for the prognosis and management of patients with colorectal cancer, as well as having significant potential for point-of-care diagnosis.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Echeverri et al. (2026) studied this question.

synapsesocial.com/papers/69df2a4be4eeef8a2a6af8a9https://doi.org/10.1007/s00604-026-07987-8
Ask AI
Helpful
Bookmark
Share
View Full Paper