ArticleACS chemical neuroscience2012
Detection of asymptomatic nigrostriatal dopaminergic lesion in rats by exhaled air analysis using carbon nanotube sensors.
Article in ACS chemical neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Multifunctional, energy-autonomous textile sensors enabled by spray-coated two-dimensional heterostructures.Npj flexible electronics · 2026Article
- Detection of Volatile Organic Compounds as an emerging strategy for Parkinson's disease diagnosis and monitoring.NPJ Parkinson's disease · 2025Article
- Neurological Inflammation in Parkinsonism: Current Prognosticative Diagnostics and Pitfalls.Current topics in medicinal chemistry · 2025Review
- The Versatility and Diagnostic Potential of VOC Profiling for Noninfectious Diseases.BME frontiers · 2023Article
- The use of nanoparticles in the treatment of infectious diseases and cancer, dental applications and tissue regeneration: a review.Frontiers in medical technology · 2023Review
- Volatolomics in healthcare and its advanced detection technology.Nano research · 2022Review
- Evaluation of Volatile Organic Compounds Obtained from Breath and Feces to DetectPathogens (Basel, Switzerland) · 2020Article
- Quantitative Measures of Reliability and Sensitivity of Nanoparticle-Based Sensors in Detecting Volatile Organic Compounds.ACS omega · 2019Article
- Analysis of exhaled breath for diagnosing head and neck squamous cell carcinoma: a feasibility study.British journal of cancer · 2014Article
- A nanomaterial-based breath test for distinguishing gastric cancer from benign gastric conditions.British journal of cancer · 2013Article
- The scent fingerprint of hepatocarcinoma: in-vitro metastasis prediction with volatile organic compounds (VOCs).International journal of nanomedicine · 2012Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The ante-mortem diagnosis of Parkinson's disease (PD) still relies on clinical symptoms. Biomarkers could in principle be used for the early detection of PD-related neuronal damage, but no validated, inexpensive, and simple biomarkers are available yet. Here we report on the breath-print of presymptomatic PD in rats, using a model with 50% lesion of dopaminergic neurons in substantia nigra. Exhaled breath was collected from 19 rats (10 lesioned and 9 sham operated) and analyzed using organically functionalized carbon nanotube sensors. Discriminant factor analysis detected statistically significant differences between the study groups and a classification accuracy of 90% was achieved using leave-one-out cross-validation. The sensors' breath-print was supported by determining statistically significant differences of several volatile organic compounds in the breath of the lesioned rats and the sham operated rats, using gas chromatography combined with mass spectrometry. The observed breath-print shows potential for cost-effective, fast, and reliable early PD detection.
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