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Non-destructive prediction of banana fruit quality using VIS/NIR spectroscopy

Published online by Cambridge University Press:  15 April 2003

Manuela Zude
Manuela Zude*
Affiliation:
Institute of Agricultural Engineering Bornim, Max-Eyth-Allee 100, 14469 Potsdam-Bornim, Germany
*
[email protected]
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Abstract

Introduction. During ripening, the pigment content, starch index and sugar content of banana fruit change, providing accurate indicators for maturity classification. However, at present, banana fruits are traded according to their color stage. This study is aimed at investigating a non-destructive, rapid instrumental method to measure fruit maturity and quality more precisely. Materials and methods.Musa cavendishii L. grown in Honduras were ripened in a commercial ripening chamber and selected at four different color stages. Visible (VIS) and near-infrared spectroscopy (NIRS) in reflectance mode were investigated for the non-destructive detection of fruit chlorophyll and sugar contents. Partial least squares regression was applied to auto-scaled spectral data. Reference analyses were performed using spectrophotometry after a diethyl ether extraction of chlorophyll and high performance liquid chromatography for individual sugar analysis. Results. Calibration models for spectral readings and laboratory destructive tests gave multivariate correlation coefficients of determination of $R^2 > 0.70$ for chlorophyll a, R2 = 0.96 with standard errors of calibration (scal) of 1.6, and standard errors of cross-validation (scval) of 1.8 for glucose; R2 = 0.94 with scal of 0.8, and scval of 0.9 for sucrose; R2 = 0.96 with scval of 2.5 and Scval of 2.7 for fructose (g$\cdot$kg-1 on a dry weight basis). Conclusion. This paper shows the potential of VIS/NIRS for non-destructively predicting the maturity and quality of whole banana fruit based on determining fruit chlorophyll and sugar contents.

Keywords

GermanyMusa (bananas)measurementmaturityinfrared spectrophotometrychlorophyllssugarsAllemagneMusa (bananes)mesurematuritéspectroscopie infrarougechlorophyllesucres
Type
Research Article
Information
Fruits , Volume 58 , Issue 3 , May 2003 , pp. 135 - 142
Copyright
© CIRAD, EDP Sciences

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References

Marriott, J., Bananas-physiology and biochemistry of storage and ripening for optimum quality, CRC Cr. Rev. Food Sci. 13 (1980) 41-88. CrossRef
Mustaffa, R., Osman, A., Yusof, S., Mohamed, S., Physico-chemical changes in Cavendish banana (Musa cavendishii L. var. Montel) at different positions within a bunch during development and maturation, J. Sci. Food Agric. 78 (1998) 201-207. 3.0.CO;2-K>CrossRef
Matile, P., Hötensteiner, S., Thomas, H., Chlorophyll degradation, Annu. Rev. Plant Phys. 50 (1999) 67-95. CrossRef
Jacob-Wilk, D., Holland, D., Goldschmidt, E.E., Riov, J., Eyal, Y., Chlorophyll breakdown by chlorophyllase: isolation and functional expression of the Chlase1 gene from ethylene-treated citrus fruit and its regulation during development, Plant J. 20 (1999) 653-661. CrossRef
Olsen K.L., Schomer H.A., Bartram R.D., Segregation of `Golden Delicious' apples for quality by light transmission, Am. Soc. Hortic. Sci. (1969) 821-828.
Merzlyak, M.N., Gitelson, A.A., Chivkunova, O.B., Rakitin, V.Y., Non-destructive optical detection of pigment changes during leaf senescence and fruit ripening, Physiol. Plantarum 106 (1999) 135-141. CrossRef
De Jager A., Roelofs F.M.M., Prediction of optimum harvest date of Jonagold, in: De Jager A., Johnson D., Höhn E., The post-harvest treatment of fruit and vegetables - Current status and future prospects, Proceedings of the Sixth International Symposium of the European Concerted Action Program, COST, Luxembourg, 94, 1996, pp. 21-31.
Gitelson, A.A., Merzlyak, M.N., Lichtenthaler, H.K., Detection of red edge position and chlorophyll content by reflectance measurements near 700 nm, J. Plant Physiol. 148 (1996) 501-508. CrossRef
Lichtenthaler, H.K., Gitelson, A., Lang, M., Non-destructive determination of chlorophyll content of leaves of a green and an aurea mutant of tobacco by reflectance measurements, J. Plant Physiol. 148 (1996) 483-493. CrossRef
Zude-Sasse, M., Truppel, I., Herold, B., An approach to non-destructive apple chlorophyll determination, Postharvest Biol. Tec. 25 (2002) 123-133. CrossRef
Bellon, V., Vigneau, J.L., Leclercq, M., Feasibility and performances of a new, multiplexed, fast and low-cost fiber-optic NIR spectrometer for on-line measurement of sugar in fruits, Appl. Spectrosc. 47 (1993) 1079-1083. CrossRef
Davenel A., Crochon M., Pourcin J., Verlaque P., de Vaux M.C., On line infrared measurement in food processing, AgEng (1988) 88-308.
Dull, G.G., Birth, G.S., Leffler, R.G., Use of near infrared analysis for nondestructive measurements of dry matter in potatoes, Am. Potato J. 66 (1989) 215-225. CrossRef
Huxol, C.C., Bolin, H.R., Mackey, B.E., Near infrared analysis potential for grading raisin quality and moisture, J. Food Sci. 60 (1995) 176-180. CrossRef
Kawano, S., Non destructive NIR quality evaluation of fruits and vegetables in Japan, NIR News 5 (1994) 10-12. CrossRef
Birth, G.S., Non destructive quality evaluation of agricultural products. Introduction, J. Food Protect. 41 (1978) 48-49. CrossRef
Cael, J.J., Koening, J.L., Blackwell, J., Infrared and Raman spectroscopy of carbohydrate, Carbohydr. Res. 32 (1974) 79-91. CrossRef
Murray I., Williams P.C., Chemical principles of near-infrared technology, in: Williams P., Norris K. (Eds.), Near-infrared technology in the agriculture and food industries, ASCC, Inc., St. Paul, Minnesota, USA, 1987, pp. 17-34.
Lammertyn, J., Nicola, B., Ooms, K., De Smedt, V., De Baerdemaeker, J., Non-destructive measurement of acidity, soluble solids, and firmness of Jonagold apples using NIR-spectroscopy, Trans. ASAE 41 (1998) 1089-1094. CrossRef
Slaughter, D.C., Nondestructive determination of internal quality in peaches and nectarines, Trans. ASAE 38 (1995) 617-623. CrossRef
Tarkosova, J., Copikova, J., Determination of carbohydrate content in bananas during ripening and storage by near infrared spectroscopy, J. Near Infrared Spec. 8 (2000) 21-26. CrossRef
Holden M., Chlorophylls, in: Goodwin T.W. (Ed.), Chemistry and biochemistry of plant pigments, vol. 2, Acad. Press London-New York-San Francisco, UK, 1976.
Porra, R.J., Thompson, W.A., Kriedemann, P.E., Determination of accurate extinction coefficients and simultaneous equations for assaying chlorophylls a and b extracted with four different solvents: verification of the concentration of chlorophyll standards by atomic absorption spectroscopy, Biochim. Biophys. Acta 975 (1989) 384-394. CrossRef
Birth G.S., How light interacts with foods, in: Gafney J. Jr. (Ed.), Quality Detection in Foods, ASAE, St. Joseph, USA, 1976, pp. 6-11.