PMID- 27591583 OWN - NLM STAT- MEDLINE DCOM- 20180209 LR - 20180209 IS - 1873-3573 (Electronic) IS - 0039-9140 (Linking) VI - 160 DP - 2016 Nov 1 TI - Headspace-programmed temperature vaporizer-mass spectrometry and pattern recognition techniques for the analysis of volatiles in saliva samples. PG - 21-27 LID - S0039-9140(16)30486-6 [pii] LID - 10.1016/j.talanta.2016.06.061 [doi] AB - A rapid method for the analysis of volatiles in saliva samples is proposed. The method is based on direct coupling of three components: a headspace sampler (HS), a programmable temperature vaporizer (PTV) and a quadrupole mass spectrometer (qMS). Several applications in the biomedical field have been proposed with electronic noses based on different sensors. However, few contributions have been developed using a mass spectrometry-based electronic nose in this field up to date. Samples of 23 patients with some type of cancer and 32 healthy volunteers were analyzed with HS-PTV-MS and the profile signals obtained were subjected to pattern recognition techniques with the aim of studying the possibilities of the methodology to differentiate patients with cancer from healthy controls. An initial inspection of the contained information in the data by means of principal components analysis (PCA) revealed a complex situation were an overlapped distribution of samples in the score plot was visualized instead of two groups of separated samples. Models using K-nearest neighbors (KNN) and Soft Independent Modeling of Class Analogy (SIMCA) showed poor discrimination, specially using SIMCA where a small distance between classes was obtained and no satisfactory results in the classification of the external validation samples were achieved. Good results were obtained when Mahalanobis discriminant analysis (DA) and support vector machines (SVM) were used obtaining 2 (false positives) and 0 samples misclassified in the external validation set, respectively. No false negatives were found using these techniques. CI - Copyright (c) 2016 Elsevier B.V. All rights reserved. FAU - Perez Anton, Ana AU - Perez Anton A AD - Departamento de Quimica Analitica, Nutricion y Bromatologia, Facultad de Ciencias Quimicas, Universidad de Salamanca, 37008 Salamanca, Spain. FAU - Del Nogal Sanchez, Miguel AU - Del Nogal Sanchez M AD - Departamento de Quimica Analitica, Nutricion y Bromatologia, Facultad de Ciencias Quimicas, Universidad de Salamanca, 37008 Salamanca, Spain. Electronic address: mns@usal.es. FAU - Crisolino Pozas, Angel Pedro AU - Crisolino Pozas AP AD - Servicio de Medicina Interna, Hospital Virgen de la Vega, Complejo Asistencial Universitario de Salamanca, 37007 Salamanca, Spain. FAU - Perez Pavon, Jose Luis AU - Perez Pavon JL AD - Departamento de Quimica Analitica, Nutricion y Bromatologia, Facultad de Ciencias Quimicas, Universidad de Salamanca, 37008 Salamanca, Spain. FAU - Moreno Cordero, Bernardo AU - Moreno Cordero B AD - Departamento de Quimica Analitica, Nutricion y Bromatologia, Facultad de Ciencias Quimicas, Universidad de Salamanca, 37008 Salamanca, Spain. LA - eng PT - Journal Article DEP - 20160629 PL - Netherlands TA - Talanta JT - Talanta JID - 2984816R RN - 0 (Volatile Organic Compounds) SB - IM MH - Adult MH - Discriminant Analysis MH - Electronic Nose MH - Female MH - Humans MH - Male MH - Mass Spectrometry/methods MH - Neoplasms/metabolism MH - Pattern Recognition, Automated MH - Principal Component Analysis MH - Saliva/*chemistry MH - Support Vector Machine MH - Temperature MH - Volatile Organic Compounds/*analysis OTO - NOTNLM OT - HS-PTV-MS OT - Pattern recognition techniques OT - Saliva OT - Volatile biomarkers EDAT- 2016/09/04 06:00 MHDA- 2018/02/10 06:00 CRDT- 2016/09/04 06:00 PHST- 2016/04/26 00:00 [received] PHST- 2016/06/24 00:00 [revised] PHST- 2016/06/28 00:00 [accepted] PHST- 2016/09/04 06:00 [entrez] PHST- 2016/09/04 06:00 [pubmed] PHST- 2018/02/10 06:00 [medline] AID - S0039-9140(16)30486-6 [pii] AID - 10.1016/j.talanta.2016.06.061 [doi] PST - ppublish SO - Talanta. 2016 Nov 1;160:21-27. doi: 10.1016/j.talanta.2016.06.061. Epub 2016 Jun 29.