Scholarlink

Objective <p>In low-resource settings many essential diagnostics for the detection of endocrine analytes are unavailable. This research analyzed systematically literature on biosensor technologies for thyroid diseases, diabetes, and endocrine disorders in LMICs.</p> Methods <p>A systematic literature review (SLR) was conducted using a standardized search string applied to main databases (PubMed and Scopus). Papers were then manually screened based on predefined criteria, including relevance to the research question, journal publication status and year of publication.</p> Results <p>The results highlight that the diagnostic technologies developed for LMICs endocrine disease detection have primarily focused on diabetes (14 out of 16 selected studies). The most used techniques are optical (8/16), colorimetric (4/16), and electrochemical (3/16) methods.</p> Conclusion <p>Although electrochemical technologies are currently the least popular, they offer significant advantages in terms of portability, sensitivity, and the ability to detect multiple analytes. Electrochemical detection system, with these capabilities, stands out as a promising solution for the simultaneous diagnosis of various endocrine diseases. Currently, the thematic area covered in this SLR is notably limited, highlighting the need for new technological solutions for the diagnosis of endocrine diseases in low-income populations.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Biosensors for endocrine biomarkers detection in low-resource settings: a systematic review

  • 期刊论文

  • 发表日期：

    2026年1月26日

查看全文
  • T. Boscarino,
  • C. Ragozzino,
  • J. Charmet,
  • V. Piemonte,
  • L. Pecchia

摘要

Objective

In low-resource settings many essential diagnostics for the detection of endocrine analytes are unavailable. This research analyzed systematically literature on biosensor technologies for thyroid diseases, diabetes, and endocrine disorders in LMICs.

Methods

A systematic literature review (SLR) was conducted using a standardized search string applied to main databases (PubMed and Scopus). Papers were then manually screened based on predefined criteria, including relevance to the research question, journal publication status and year of publication.

Results

The results highlight that the diagnostic technologies developed for LMICs endocrine disease detection have primarily focused on diabetes (14 out of 16 selected studies). The most used techniques are optical (8/16), colorimetric (4/16), and electrochemical (3/16) methods.

Conclusion

Although electrochemical technologies are currently the least popular, they offer significant advantages in terms of portability, sensitivity, and the ability to detect multiple analytes. Electrochemical detection system, with these capabilities, stands out as a promising solution for the simultaneous diagnosis of various endocrine diseases. Currently, the thematic area covered in this SLR is notably limited, highlighting the need for new technological solutions for the diagnosis of endocrine diseases in low-income populations.