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Nondestructive Total Excitation-Emission Fluorescence Microscopy Combined with Multi-Way Chemometric Analysis for Visually Indistinguishable Single Fiber Discrimination.
Muñoz de la Peña, Arsenio; Mujumdar, Nirvani; Heider, Emily C; Goicoechea, Hector C; Muñoz de la Peña, David; Campiglia, Andres D.
Afiliação
  • Muñoz de la Peña A; Department of Chemistry, University of Central Florida , 4111 Libra Drive, P.O. Box 25000, Orlando, Florida 32816-2366, United States.
  • Mujumdar N; Department of Analytical Chemistry and IACYS, University of Extremadura , Badajoz, 06006, Spain.
  • Heider EC; Department of Chemistry, University of Central Florida , 4111 Libra Drive, P.O. Box 25000, Orlando, Florida 32816-2366, United States.
  • Goicoechea HC; Department of Chemistry, University of Central Florida , 4111 Libra Drive, P.O. Box 25000, Orlando, Florida 32816-2366, United States.
  • Muñoz de la Peña D; Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ), Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional de Litoral , Santa Fe S3000ZAA, Argentina.
  • Campiglia AD; Department of Automation and Systems Engineering, University of Seville , Seville, 41092, Spain.
Anal Chem ; 88(5): 2967-75, 2016 Mar 01.
Article em En | MEDLINE | ID: mdl-26861578
ABSTRACT
The potential of total excitation-emission fluorescence microscopy combined with multiway chemometric analysis was investigated for the nondestructive forensic analysis of textile fibers. The four pairs of visually indistinguishable fibers consisted of nylon 361 dyed with acid yellow 17 and acid yellow 23, acetate satin 105B dyed with disperse blue 3 and disperse blue 14, polyester 777 dyed with disperse red 1 and disperse red 19, and acrylic 864 dyed with basic green 1 and basic green 4. Excitation emission matrices were recorded with the aid of an inverted microscope and a commercial spectrofluorimeter. The full information content of excitation-emission matrices was processed with the aid of unsupervised parallel factor analysis (PARAFAC), PARAFAC supervised by linear discriminant analysis (LDA), and discriminant unfolded partial least-squares (DU-PLS). The ability of the latter algorithm to classify the four pairs of fibers demonstrates the advantage of using the multidimensionality of fluorescence data formats for the nondestructive analysis of forensic fiber evidence.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Microscopia de Fluorescência Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Microscopia de Fluorescência Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article