CeruLabs
Peer-Reviewed Research

Published ScientificResearch

Our cerumenogram technology is built on rigorous peer-reviewed research published in Scientific Reports, one of Nature's leading open-access journals.

27
VOC Biomarkers
Identified through genetic algorithm selection
100%
Discrimination
In cross-validated research studies
2
Published Studies
In Scientific Reports (Nature)
158
Total VOCs Detected
In human cerumen samples

Published Studies

Read the full peer-reviewed papers that form the scientific foundation of CeruLabs technology.

2019Scientific Reports (Nature)

Cerumenogram: A New Frontier in Cancer Diagnosis in Humans

Barbosa, J.M.G., Pereira, N.Z., David, L.C. et al.

Abstract

This study introduces the cerumenogram methodology for cancer diagnosis using volatile organic compounds (VOCs) in human cerumen. Using headspace gas chromatography-mass spectrometry (HS/GC-MS), 158 VOCs were identified, with 27 selected by genetic algorithm-partial least squares (GA-PLS) achieving 100% discrimination between cancer patients and healthy controls.

Key Findings

  • 158 volatile organic compounds identified in human cerumen
  • 27 VOCs selected as biomarkers through GA-PLS analysis
  • 100% discrimination accuracy between groups
  • Non-invasive alternative to traditional diagnostic methods
  • 10-fold cross-validation with 10 repetitions
Methodology:HS/GC-MS at 160°C for 60 min with 3-methylcyclohexanone internal standard
PMID:31409861
DOI:10.1038/s41598-019-48121-4
PubMedFull Text
2025Scientific Reports (Nature)

Cerumenogram for Metabolic Diagnosis of Precancer, Cancer, and Remission

Barbosa, J.M.G., et al.

Abstract

This follow-up study extends the cerumenogram methodology to detect precancerous states and monitor remission. The research demonstrates the ability to distinguish between active disease, precancer, and remission states using VOC biomarker patterns.

Key Findings

  • Precancerous metabolic signatures successfully detected
  • Clear distinction between active disease and remission
  • Y-OR vs N-OR probabilistic classification validated
  • Cross-confirmed with PET/CT imaging and histopathology
  • Potential for monitoring treatment response
Methodology:Enhanced GA-PLS model with expanded cohort validation
PMID:40263376
DOI:10.1038/s41598-025-xxxxx-x
PubMed

Advancing Metabolic Science

The cerumenogram research represents a breakthrough in non-invasive metabolic analysis. Led by researchers at Universidade de Franca, this work continues to expand our understanding of volatile organic compound biomarkers and their potential applications in health screening.

Learn About the ScienceRead Our Blog

The research cited is for educational purposes. CeruLabs is a wellness screening tool and is not FDA-approved. It is not intended to diagnose, treat, cure, or prevent any disease. Results should be discussed with a healthcare provider.