Next Article in Journal
Targeting Immune Signaling Checkpoints in Acute Myeloid Leukemia
Previous Article in Journal
Trastuzumab Induced Chemobrain, Atorvastatin Rescued Chemobrain with Enhanced Anticancer Effect and without Hair Loss-Side Effect
Previous Article in Special Issue
Deciphering the Molecular Profile of Lung Cancer: New Strategies for the Early Detection and Prognostic Stratification
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessFeature PaperReview
J. Clin. Med. 2019, 8(2), 235;

Sensors for Lung Cancer Diagnosis

Department of Electronic Engineering, University of Rome Tor Vergata, 00133 Roma, Italy
Department of Chemical Science and Technology, University of Rome Tor Vergata, 00133 Roma, Italy
Author to whom correspondence should be addressed.
Received: 24 December 2018 / Revised: 3 February 2019 / Accepted: 5 February 2019 / Published: 11 February 2019
(This article belongs to the Special Issue Big Data and Precision Medicine Series I: Lung Cancer Early Diagnosis)
Full-Text   |   PDF [246 KB, uploaded 22 February 2019]


The positive outcome of lung cancer treatment is strongly related to the earliness of the diagnosis. Thus, there is a strong requirement for technologies that could provide an early detection of cancer. The concept of early diagnosis is immediately extended to large population screening, and then, it is strongly related to non-invasiveness and low cost. Sensor technology takes advantage of the microelectronics revolution, and then, it promises to develop devices sufficiently sensitive to detect lung cancer biomarkers. A number of biosensors for the detection of cancer-related proteins have been demonstrated in recent years. At the same time, the interest is growing towards the analysis of volatile metabolites that could be measured directly from the breath. In this paper, a review of the state-of-the-art of biosensors and volatile compound sensors is presented. View Full-Text
Keywords: lung cancer; biosensors; volatile compounds; electronic nose lung cancer; biosensors; volatile compounds; electronic nose
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Capuano, R.; Catini, A.; Paolesse, R.; Di Natale, C. Sensors for Lung Cancer Diagnosis. J. Clin. Med. 2019, 8, 235.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
J. Clin. Med. EISSN 2077-0383 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top