Evidence map›Paper›PMID 40120290›Full record

ReviewBiosensors & bioelectronics2025

Transformative biomedical devices to overcome biomatrix effects.

Omair Adil, Mohtashim H Shamsi

Abstract readReview
In one paragraph

Review in Biosensors & bioelectronics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. A Sensitive Real-Time PCR-Based Assay for the Identification ofJournal of fungi (Basel, Switzerland) · 2026
    Article
  5. Article
  6. Review
  7. Review
  8. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Omair AdilSchool of Chemical and Biomolecular Sciences, Southern Illinois University at Carbondale, IL, 62901, USA; Department of Mechanical Engineering, University of Hawai'i at Mānoa, Honolulu, HI, 96822, USA.
Mohtashim H ShamsiSchool of Chemical and Biomolecular Sciences, Southern Illinois University at Carbondale, IL, 62901, USA. Electronic address: mshamsi@siu.edu.

Funding

Charge Transfer Study of DNA/MoS2 interfaceR15GM147885 · NIGMS · SOUTHERN ILLINOIS UNIVERSITY CARBONDALE · PI SHAMSI, MOHTASHIM H · 2022 to 2023
$529k
NIGMS NIH HHS R15 GM147885
6 · The paper itself

Abstract

The emergence of high-performance biomedical devices and sensing technologies highlights the technological advancements in the field. Recently during COVID-19 pandemic, biosensors played an important role in medical diagnostics and disease monitoring. In the past few decades, biosensors have made impressive advances in terms of sensing capability, methodology, and applications, and modern biosensors show higher performance and functionality compared to traditional biosensing platforms. Currently, various biomedical devices are already in the market or on the verge of commercialization, such as disposable paper-based devices, lab-on-a-chip devices, wearable sensors, and artificial intelligence-assisted systems, all contributing to the evolution of digital health. Despite the promising features of detection methods for developing practical biosensors, there are substantial barriers to the commercialization of biomedical devices. An important challenge is the matrix effect in the detection of clinical samples. Although achieving low limit of detection values under controlled laboratory conditions is feasible, maintaining performance in real clinical samples is difficult. Matrix molecules present in these samples can interact with analytes, potentially affecting sensitivity, specificity, and sensor response. Approaches to reduce nonspecific adsorption and cross-reactivity are imperative for improving sensor performance. The detection of diagnostic biomarkers in complex biological matrices often requires laborious sample preparation, which may affect accuracy and precision. In this review, we highlight the recent efforts to detect analytes in real samples, both invasively and noninvasively, and underline technological advancements that mitigate the biomatrix effects. We also discuss commercially available biosensors and technologies promising commercial success, highlighting their potential effect on healthcare and diagnostics.

Indexed as

Biosensing TechniquesCOVID-19SARS-CoV-2Artificial IntelligenceEquipment DesignHumansLab-On-A-Chip DevicesPandemicsWearable Electronic Devices

Identifiers

PMID40120290
PMCPMC11975494

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.