Vis/NIR spectroscopy and chemometrics for the prediction of soluble solids content and acidity (pH) of kiwifruit

Biosystems Engineering

Volumn 106, Issue 3, 2010, Pages 295-302

  Moghimi, Ali ^a   Aghkhani, Mohammad H ^a   Sazgarnia, Ameneh ^b   Sarmad, Majid ^a  

^a FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

^b MASHHAD UNIVERSITY OF MEDICAL SCIENCES   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; INFRARED DEVICES; MEAN SQUARE ERROR; MEDIAN FILTERS; NEAR INFRARED SPECTROSCOPY; QUALITY CONTROL;

CORRELATION COEFFICIENT; MULTIPLICATIVE SCATTER CORRECTION; PARTIAL LEAST SQUARE REGRESSION; ROOT-MEAN-SQUARE ERROR OF PREDICTIONS; STANDARD NORMAL VARIATE TRANSFORMATIONS; TRANSMISSION SPECTRUMS; VISIBLE AND NEAR INFRARED; VISIBLE AND NEAR-INFRARED SPECTROSCOPY;

PREDICTIVE ANALYTICS;

ACTINIDIA DELICIOSA;

EID: 77954952020     PISSN: 15375110     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biosystemseng.2010.04.002     Document Type: Article

References (44)

1. Blanco M., Villarroya I. NIR spectroscopy: a rapid-response analytical tool. Trends in Analytical Chemistry 2002, 21:240-250.
2. Carlomagno G., Capozzo L., Attolico G., Distante A. Non-destructive grading of peaches by near-infrared spectrometry. Infrared Physics & Technology 2004, 46:23-29.
3. Cen H., He Y. Theory and application of near infrared reflectance spectroscopy in determination of food quality. Trends in Food Science & Technology 2007, 18:72-83.
4. Clark C.J., McGlone V.A., De Silva H.N., Manning M.A., Burdon J., Mowat A.D. Prediction of storage disorders of kiwifruit (Actinidia chinensis) based on visible-NIR spectral characteristics at harvest. Postharvest Biology and Technology 2004, 32:147-158.
5. Clark C.J., McGlone V.A., Jordan R.B. Detection of brownheart in 'Braeburn' apple by transmission NIR spectroscopy. Postharvest Biology and Technology 2003, 28:87-96.
6. Clark C.J., McGlone V.A., Requejo C., White A., Woolf A.B. Dry matter determination in 'Hass' avocado by NIR spectroscopy. Postharvest Biology and Technology 2003, 29:301-308.
7. Cowe I.A., McNicol J.W. The use of principal components in the analysis of near-infrared spectra. Applied Spectroscopy 1985, 39:257-266.
8. Day M.S., Fearn F.R.B. Near Infrared reflectance as an analytical technique, part 1. History and development. Laboratory Practice 1982, 31:328-330.
9. Fan G., Zha J., Du R., Gao L. Determination of soluble solids and firmness of apples by Vis/NIR transmittance. Journal of Food Engineering 2009, 93:416-420.
10. Fu X., Ying Y., Lu H., Xu H. Comparison of diffuse reflectance and transmission mode of visible-near infrared spectroscopy for detecting brown heart of pear. Journal of Food Engineering 2007, 83:317-323.
11. Golic M., Walsh K.B. Robustness of calibration models based on near infrared spectroscopy for the in-line grading of stonefruit for total soluble solids content. Analytica Chimica Acta 2006, 555:286-291.
12. Gomez A.H., He Y., Pereira A.G. Non-destructive measurement of acidity, soluble solids and firmness of Satsuma mandarin using Vis/NIR spectroscopy techniques. Journal of Food Engineering 2006, 77:313-319.
13. He Y., Li X.L., Shao Y.N. Discrimination of varieties of apple using near infrared spectra based on principal component analysis and artificial neural network model. Spectroscopy and Spectral Analysis 2006, 26:850-853.
14. Jha S.N., Matsuoka T. Non-destructive determination of acid-brix ratio of tomato juice using near infrared spectroscopy. International Journal of Food Science and Technology 2004, 39:425-430.
15. Jong S. PLS fits closer than PCR. Journal of Chemometrics 1993, 7:551-557.
16. Kavdir I., Buyukcan M.B., Lu R., Kocabiyik H., Seker M. Prediction of olive quality using FT-NIR spectroscopy in reflectance and transmittance modes. Biosystems Engineering 2009, 103:304-312.
17. Lammertyn J., Nicolaï B., Ooms K., Smedt V., Baerdemaeker J. Non-destructive measurement of acidity, soluble solids, and firmness of Jonagold apples using NIR-spectroscopy. Transactions of the ASAE 1998, 41:1089-1094.
18. Lu R. Predicting firmness and sugar content of sweet cherries using near-infrared diffuse reflectance spectroscopy. Transactions of the ASAE 2001, 44:1265-1271.
19. Lu R., Guyer D., Beaudry R.M. Determination of firmness and sugar content of apple using NIR diffuse reflectance. Journal of Texture Studies 2000, 31:615-630.
20. Martens H., Næs T. Multivariate calibration 1989, Wiley, New York.
21. McGlone V.A., Jordan R.B., Martinsen P.J. Vis/NIR estimation at harvest of pre- and post-storage quality indices for 'Royal Gala' apple. Postharvest Biology and Technology 2002, 25:135-144.
22. McGlone V.A., Jordan R.B., Seelye R., Martinsen P.J. Comparing density and NIR methods for measurement of kiwifruit dry matter and soluble solids content. Postharvest Biology and Technology 2002, 26:191-198.
23. Muik B., Lendl B., Molina-Diaz A., Perez-Villarejo L., Ayora-Canada M.J. Determination of oil and water content in olive pomace using near infrared and Raman spectrometry. Analytical and Bioanalytical Chemistry 2004, 379:35-41.
24. Næs T., Isaksson T., Fearn T., Davies T. A user-friendly guide to multivariate calibration and classification 2004, NIR Publications, Charlton, Chichester, UK.
25. Nicolaï B.M., Beullens K., Bobelyn E., Peirs A., Saeys W., Theron K.I., Lammertyn J. Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: a review. Postharvest Biology and Technology 2007, 46:99-118.
26. Nicolaï B.M., Verlinden B.E., Desmet M., Saevels S., Saeys W., Theron K., Cubeddu R., Pifferi A., Torricelli A. Time-resolved and continuous wave NIR reflectance spectroscopy to predict soluble solids content and firmness of pear. Postharvest Biology and Technology 2008, 47:68-74.
27. Osborne B.G., Fearn T., Hindle P.T. Practical NIR spectroscopy with practical application in food and beverage analysis 1993, Longman Scientific and Technical, Harlow, UK. second ed.
28. Pedro A.M.K., Ferreira M.M.C. Nondestructive determination of solids and carotenoids in tomato products by near-infrared spectroscopy and multivariate calibration. Analytical Chemistry 2005, 77:2505-2511.
29. Peiris K.H.S., Dull G.G., Leffler R.G., Kays S.J. Near-infrared spectrometric method for nondestructive determination of soluble solids content of peaches. Journal of the American Society for Horticulture Science 1998, 123:898-905.
30. Peirs A., Lammertyn J., Ooms K., Nicolaï B.M. Prediction of the optimal picking date of different apple cultivars by means of VIS: NIR-spectroscopy. Postharvest Biology and Technology 2001, 21:189-199.
31. Perkin J.H., Tenge B., Honigs D.E. Resolution enhancement using an approximate-inverse Savitzky-Golay smooth. Spectrochimica Acta Part B: Atomic Spectroscopy 1988, 43:575-603.
32. Pontes M.J.C., Santos S.R.B., Araujo M.C.U., Almeida L.F., Lima R.A.C., Gaiao E.N., Souto U.T.C.P. Classification of distilled alcoholic beverages and verification of adulteration by near infrared spectrometry. Food Research International 2006, 39:182-189.
33. Schaare P.N., Fraser D.G. Comparison of reflectance, interactance and transmission modes of visible-near infrared spectroscopy for measuring internal properties of kiwifruit (Actinidia chinensis). Postharvest Biology and Technology 2000, 20:175-184.
34. Shao Y., He Y., Gomez A.H., Pereir A.G., Qiu Z., Zhag Y. Visible/near infrared spectrometric technique for nondestructive assessment of tomato 'Heatwave' (Lycopersicum esculentum) quality characteristics. Journal of Food Engineering 2007, 81:672-678.
35. Sirisomboon P., Tanaka M., Fujita S., Kojima T. Evaluation of pectin constituents of Japanese pear by near infrared spectroscopy. Journal of Food Engineering 2007, 78:701-707.
36. Slaughter D. Nondestructive determination of internal quality in peaches and nectarines. Transactions of the ASAE 1995, 38:617-623.
37. Slaughter D.C., Barrett D., Boersig M. Nondestructive determination of soluble solids in tomatoes using near infrared spectroscopy. Journal of Food Science 1996, 61:695-697.
38. Swierenga H., De Weijer A.P., Van Wijk R.J., Buydens L.M.C. Strategy for constructing robust multivariate calibration models. Chemometrics and Intelligent Laboratory Systems 1999, 49:1-17.
39. Viscarra Rossel R.A. ParLeS: software for chemometric analysis of spectroscopic data. Chemometrics and Intelligent Laboratory Systems 2008, 90:72-83.
40. Wang L., Lee F.S.C., Wang X.R., He Y. Feasibility study of quantifying and discriminating soybean oil adulteration in camellia oils by attenuated total reflectance MIR and fiber optic diffuse reflectance NIR. Food Chemistry 2006, 95:529-536.
41. Wold S. Chemometrics; what do we mean with it, and what do we want from it?. Chemometrics and Intelligent Laboratory Systems 1995, 30:109-115.
42. Xiaobo Z., Jiewen Z., Xingyi H., Yanxiao L. 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 2007, 87:43-51.
43. Xu L., Zhou Y.P., Tang L.J., Wu H.L., Jiang J.H., Shen G.L., Yu R.Q. Ensemble preprocessing of near-infrared (NIR) spectra for multivariate calibration. Analytica Chimica Acta 2008, 616:138-143.
44. Yan-de L., Yi-bin Y., Xiaping F., Huishan L. Experiments on predicting sugar content in apples by FT-NIR technique. Journal of Food Engineering 2007, 80:986-989.