Carlo Zambonin

Prof. Carlo Zambonin

Department of Chemistry, University of Bari Aldo Moro, Via Amendola, 165/A, I-70126 Bari, Italy
orcid

Research Focus & Metrics

Academic Career Length

33Years (1994-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications


1 September 2005 in Journal of Pharmaceutical and Biomedical Analysis
Verified
Journal Article
Closed access
Antonella Maria ArestaAntonella Maria Aresta
Antonella Maria Aresta
FPFrancesco Palmisano
Francesco Palmisano
Carlo ZamboninCarlo Zambonin
Carlo Zambonin

1 September 2012 in Food Chemistry
Verified
Journal Article
Closed access
Cosima damiana CalvanoCosima damiana Calvano
Cosima damiana Calvano
CCCristina De Ceglie
Cristina De Ceglie
LDLucia D’aCcolti
Lucia D’aCcolti
Carlo ZamboninCarlo Zambonin
Carlo Zambonin

29 September 2020 in BJS Open
Verified
Journal Article
Open access
PDF file
DADonato Altomare
Donato Altomare
APArcangelo Picciariello
Arcangelo Picciariello
MRM T Rotelli
M T Rotelli
MFM De Fazio
M De Fazio
AAA Aresta
A Aresta
NVN De Vietro
N De Vietro
Background: Effective screening for colorectal cancer can reduce mortality by early detection of tumours and colonic polyps. An altered pattern of volatile organic compounds (VOCs) in exhaled breath has been proposed as a potential non-invasive diagnostic tool for detection of cancer. The aim of this study was to evaluate the reliability of breath-testing for colorectal cancer screening and early diagnosis using an advanced breath sampler. Methods: The exhaled breath of patients with colorectal cancer and non-cancer controls with negative findings on colonoscopy was collected using the ReCIVA® Breath Sampler. This portable device is able to capture the alveolar breath fraction without environmental contamination. VOCs were desorbed thermally and analysed by gas chromatography–mass spectrometry. The discriminatory ability of VOCs in detecting colorectal cancer was evaluated by receiver operating characteristic (ROC) curve analysis for each VOC, followed by cross-validation by the leave-one-out method, and by applying stepwise logistic regression analysis. Results: The study included 83 patients with colorectal cancer and 90 non-cancer controls. Fourteen VOCs were found to have significant discriminatory ability in detecting patients with colorectal cancer. The model with the diagnosis of cancer versus no cancer resulted in a statistically significant likelihood of discrimination of 173·45 (P < 0·001), with an area under the ROC curve of 0·979. Cross-validation of the model resulted in a true predictive value for colorectal cancer of 93 per cent overall. Reliability of the breath analysis was maintained irrespective of cancer stage. Conclusion: This study demonstrated that analysis of exhaled VOCs can discriminate patients with colorectal cancer from those without. This finding may eventually lead to the creation of a smart online sensory device, capable of providing a binary answer (cancer/no cancer) and directing to further screening.

1 August 2008 in Journal of Chromatography A
Verified
Journal Article
Closed access
RVR. Vatinno
R. Vatinno
DVDajana Vuckovic
Dajana Vuckovic
Carlo ZamboninCarlo Zambonin
Carlo Zambonin
JPJ. Pawliszyn
J. Pawliszyn