Title: | "Application of chemoresistive gas sensors and chemometric analysis to differentiate the fingerprints of global volatile organic compounds from diseases. Preliminary results of COPD, lung cancer and breast cancer" |
Author(s): | Rodriguez-Aguilar M; Diaz de Leon-Martinez L; Gorocica-Rosete P; Perez-Padilla R; Dominguez-Reyes CA; Tenorio-Torres JA; Ornelas-Rebolledo O; Mehta G; Zamora-Mendoza BN; Flores-Ramirez R; |
Address: | "Centro de Investigacion Aplicada en Ambiente y Salud, CIACYT, Facultad de Medicina, Universidad Autonoma de San Luis Potosi. Av. Venustiano Carranza 2405, CP 78210, San Luis Potosi, SLP, Mexico. Centro de Investigacion Aplicada en Ambiente y Salud, CIACYT, Facultad de Medicina, Universidad Autonoma de San Luis Potosi. Av. Venustiano Carranza 2405, CP 78210, San Luis Potosi, SLP, Mexico. Electronic address: loredldv@gmail.com. National Institute of Respiratory Diseases, Ismael Cosio Villegas, Mexico City, Mexico. Fundacion de Cancer de Mama A.C. FUCAM, Ciudad de Mexico, Mexico. Labinnova Center of Investigation in Breath for early detection diseases, Guadalajara, Mexico. CEO Altus Life Science, San Jose, CA, United States. CONACYT Research Fellow, Coordinacion para la Innovacion y Aplicacion de la Ciencia y la Tecnologia (CIACYT), Universidad Autonoma de San Luis Potosi. Avenida Sierra Leona No. 550, CP 78210, Colonia Lomas Segunda Seccion, San Luis Potosi, SLP, Mexico. Electronic address: rfloresra@conacyt.mx" |
DOI: | 10.1016/j.cca.2021.03.016 |
ISSN/ISBN: | 1873-3492 (Electronic) 0009-8981 (Linking) |
Abstract: | "BACKGROUND: Analysis of volatile organic compounds (VOCs) in exhaled breath has been proposed as a screening method that discriminates between disease and healthy subjects, few studies evaluate whether these chemical fingerprints are specific when compared between diseases. We evaluated global VOCs and their discrimination capacity in chronic obstructive pulmonary disease (COPD), lung cancer, breast cancer and healthy subjects by chemoresistive sensors and chemometric analysis. METHODS: A cross-sectional study was conducted with the participation of 30 patients with lung cancer, 50 with breast cancer, 50 with COPD and 50 control subjects. Each participant's exhaled breath was analyzed with the electronic nose. A multivariate analysis was carried: principal component analysis (PCA) and, canonical analysis of principal coordinates (CAP). Twenty single-blind samples from the 4 study groups were evaluated by CAP. RESULTS: A separation between the groups of patients to the controls was achieved through PCA with explanations of >90% of the data and with a correct classification of 100%. In the CAP of the 4 study groups, discrimination between the diseases was obtained with 2 canonical axes with a correct general classification of 91.35%. This model was used for the prediction of the single-blind samples resulting in correct classification of 100%. CONCLUSIONS: The application of chemoresistive gas sensors and chemometric analysis can be used as a useful tool for a screening test for lung cancer, breast cancer and COPD since this equipment detects the set of VOCs present in the exhaled breath to generate a characteristic chemical fingerprint of each disease" |
Keywords: | "*Breast Neoplasms/diagnosis Breath Tests Cross-Sectional Studies Female Humans *Lung Neoplasms/diagnosis *Pulmonary Disease, Chronic Obstructive/diagnosis Single-Blind Method *Volatile Organic Compounds Breast cancer Copd Chemoresistive sensors Electronic;" |
Notes: | "MedlineRodriguez-Aguilar, Maribel Diaz de Leon-Martinez, Lorena Gorocica-Rosete, Patricia Perez-Padilla, Rogelio Dominguez-Reyes, Carlos Alberto Tenorio-Torres, Juan Alberto Ornelas-Rebolledo, Omar Mehta, Garima Zamora-Mendoza, Blanca Nohemi Flores-Ramirez, Rogelio eng Netherlands 2021/03/27 Clin Chim Acta. 2021 Jul; 518:83-92. doi: 10.1016/j.cca.2021.03.016. Epub 2021 Mar 22" |