NIRS and iSPA-PLS for predicting total anthocyanin content in jaboticaba fruit

Food Chemistry

Volumn 174, Issue , 2015, Pages 643-648

  Mariani, Nathália Cristina Torres ^a   De Almeida Teixeira, Gustavo Henrique ^b   De Lima, Kássio Michell Gomes ^c   Morgenstern, Thayara Bittencourt ^a   Nardini, Viviani ^a   Júnior, Luís Carlos Cunha ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b SÃO PAULO STATE UNIVERSITY UNESP   (Brazil)

^c FEDERAL UNIVERSITY OF RIO GRANDE DO NORTE   (Brazil)

Author keywords

iSPA PLS; Jaboticaba; NIRS; PLS; Wavelength selection

Indexed keywords

ALGORITHMS; FRUITS; INFRARED DEVICES; LEAST SQUARES APPROXIMATIONS; NEAR INFRARED SPECTROSCOPY;

ISPA-PLS; JABOTICABA; NIRS; PLS; WAVELENGTH SELECTION;

ANTHOCYANINS;

ANTHOCYANIN; PLANT EXTRACT;

ALGORITHM; ARTICLE; CONTENT ANALYSIS; CORRELATION COEFFICIENT; FRUIT; MEASUREMENT ACCURACY; MYRCIARIA JABOTICABA; NEAR INFRARED REFLECTANCE SPECTROSCOPY; NONHUMAN; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; SPECTRAL SENSITIVITY; CHEMISTRY; MYRTACEAE; NEAR INFRARED SPECTROSCOPY; PROCEDURES;

MYRCIARIA CAULIFLORA; MYRCIARIA JABOTICABA;

ANTHOCYANINS; FRUIT; MYRTACEAE; PLANT EXTRACTS; SPECTROSCOPY, NEAR-INFRARED;

EID: 84916899564     PISSN: 03088146     EISSN: 18737072     Source Type: Journal    
DOI: 10.1016/j.foodchem.2014.11.008     Document Type: Article

References (18)

1. M. Ferrand, B. Huquet, S. Barbey, F. Barillet, F. Faucon, and H. Larroque Determination of fatty acid profile in cow's milk using mid-infrared spectrometry: Interest of applying a variable selection by genetic algorithms before a PLS regression Chemometrics and Intelligent Laboratory Systems 106 2 2011 183 189
2. R. Ferrer-Gallego, J.M. Hernández-Hierro, J.C. Rivas-Gonzalo, and M.T. Escribano-Bailón Determination of phenolic compounds of grape skins during ripening by NIR spectroscopy LWT - Food Science and Technology 44 4 2011 847 853
3. R.K.H. Galvão, M.C.U. Araujo, G.E. José, M.J.C. Pontes, E.C. Silva, and T.C.B. Saldanha A method for calibration and validation subset partitioning Talanta 67 4 2005 736 740
4. A.A. Gomes, R.K.H. Galvão, M.C.U. de Araújo, G. Véras, and E.C. da Silva The successive projections algorithm for interval selection in PLS Microchemical Journal 110 2013 202 208
5. C.V. Greensill, P.J. Wolfs, C.H. Spiegelman, and K.B. Walsh Calibration transfer between PDA-based NIR spectrometers in the NIR assessment of melon soluble solids content Applied Spectroscopy 55 5 2001 647 653
6. P.R. Griffiths Letter: Practical consequences of math pre-treatment of near infrared reflectance data: Log(1/R) vs. F(R) Journal of Near Infrared Spectroscopy 3 1995 60 62
7. M.R.C. Inácio, K.M.G. de Lima, V.G. Lopes, J.D.C. Pessoa, and G.H. de Almeida Teixeira Total anthocyanin content determination in intact açaí (Euterpe oleracea Mart.) and palmitero-juçara (Euterpe edulis Mart.) fruit using near infrared spectroscopy (NIR) and multivariate calibration Food Chemistry 136 3-4 2013 1160 1164
8. L.J. Janik, D. Cozzolino, R. Dambergs, W. Cynkar, and M. Gishen The prediction of total anthocyanin concentration in red-grape homogenates using visible-near-infrared spectroscopy and artificial neural networks Analytica Chimica Acta 594 1 2007 107 118
9. Lima, A.D.C. Annete de Jesus Boari Corrêia, A.A. Saczk, M.P. Martins, and R.O. Castilho Anthocyanins, pigment stability and antioxidant activity in jabuticaba [Myrciaria cauliflora (Mart.) O. Berg] Revista Brasileira de Fruticultura 33 2011 877 887
10. R. Lu, E.G.W.E.R. Daniel, and R.M. Beaudry Determination of firmness and sugar content of apples using near-infrared diffuse reflectance Journal of Texture Studies 31 517 2000 615 630
11. N.C.T. Mariani, R.C. Costa, K.M.G. Lima, V. Nardini, L.C.C. Júnior, and G.H. Teixeira Predicting soluble solid content in intact jaboticaba [Myrciaria jaboticaba (Vell.) O. Berg] fruit using near-infrared spectroscopy and chemometrics Food Chemistry 159 2014 458 462
12. T. Næs, T. Isaksson, T. Fearn, and T. Davies A user-friendly guide to multivariate calibration and classification 2004 NIR publications Charlton, Chichester, UK
13. B.M. Nicolaï, K. Beullens, E. Bobelyn, A. Peirs, W. Saeys, and K.I. Theron Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review Postharvest Biology and Technology 46 2 2007 99 118
14. B.M. Nicolaï, E. Lötze, A. Peirs, N. Scheerlinck, and K.I. Theron Non-destructive measurement of bitter pit in apple fruit using NIR hyperspectral imaging Postharvest Biology and Technology 40 1 2006 1 6
15. L. Nørgaard, A. Saudland, J. Wagner, J.P. Nielsen, L. Munck, and S.B. Engelsen Interval partial least-squares regression (iPLS): A comparative chemometric study with an example from near-infrared spectroscopy Applied Spectroscopy 54 3 2000 413 419
16. G.H.A. Teixeira, M.F.B. Durigan, and J.F. Durigan Postharvest biology & technology of tropical and sub-tropical fruits E.M. Yahia, J.K. Brecht, Jaboticaba (Myrciaria cauliflora (Mart.) O. Berg. [Myrtaceae] Vol 3 2011 Woodhead Publishing Limited Cambridge 246 274
17. J.C. Tewari, V. Dixit, B.-K. Cho, and K.A. Malik Determination of origin and sugars of citrus fruits using genetic algorithm, correspondence analysis and partial least square combined with fiber optic NIR spectroscopy Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy 71 3 2008 1119 1127
18. Z. Xiaobo, Z. Jiewen, H. Xingyi, and L. Yanxiao Use of FT-NIR spectrometry in non-invasive measurements of soluble solid contents (SSC) of "Fuji" apple based on different PLS models Chemometrics and Intelligent Laboratory Systems 87 1 2007 43 51