Non-destructive assessment of olive fruit ripening by portable near infrared spectroscopy

Authors

  • A. Gracia IFAPA Centro Alameda del Obispo
  • L. León IFAPA Centro Alameda del Obispo

DOI:

https://doi.org/10.3989/gya.089610

Keywords:

Comparative field trial, Moisture, NIR, Oil content, Olea europaea

Abstract


The feasibility of portable near infrared spectroscopy (NIR) technology for the determination of oil and moisture contents in intact olive fruits was studied. A total of 144 and 112 samples were collected throughout the ripening period in two different olive cultivar trials. Spectral data were recorded in the wavelength region from 1100 to 2300 nm at 1 nm intervals under two different experimental conditions: on-tree in the field in Trial 1 and under laboratory room conditions in Trial 2. Calibration models were developed and evaluated using partial least squares (PLS) regression separately for each trial set and for the combined group of samples. Although slightly better results were obtained under laboratory room conditions, the results obtained on-tree in the field were also accurate enough to determine the optimal harvest date of each cultivar. The combined model showed predictive statistics within the range of the individual models (r=0.89 and RMSECV= 1.99 for oil content and r=0.88 and RMSECV=2.06 for moisture content), which could be considered acceptable as an increase in the model robustness could be expected. These results encourage the use of portable NIR spectroscopy to monitor olive fruit ripening and to decide the optimal harvesting date on the basis of oil and moisture content.

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References

Armenta S, Moros J, Garrigues S, De La Guardia, M. 2010. The Use of Near-Infrared Spectrometry in the Olive Oil Industry. Crit. Rev. Food Sci. Nutr. 50, 567-582. doi:10.1080/10408390802606790 PMid:20544444

Beltrán G, Aguilera MP, Del Río C, Sánchez S, Martínez L. 2005. Influence of fruit ripening process on the natural antioxidant content of Hojiblanca virgin olive oils. Food Chem. 89, 207-215. doi:10.1016/j.foodchem.2004.02.027

Beltrán G, Del Río C, Sánchez S, Martínez L. 2004. Seasonal changes in olive fruit characteristics and oil accumulation during ripening process. J. Sci. Food Agric. 84, 1783-1790. doi:10.1002/jsfa.1887

Bessho H, Kudo K, Masuda T, Nakamoto Y, Fujisawa H. 2007. A portable non-destructive quality meter for undestanding fruit soluble solids in apple canopies. Acta Hort. 732, 593-597.

Camps C, Christen D. 2009. Non-destructive assessment of apricot fruit quality by portable visible-near infrared spectroscopy. LWT-Food Sci. Technol. 42, 1125-1131.

Cayuela JA, García JM, Caliani N. 2009. NIR prediction of fruit moisture, free acidity and oil content in intact olives. Grasas y Aceites 60, 194-202. doi:10.3989/gya.097308

Cayuela JA, Pérez-Camino MC. 2010. Prediction of quality of intact olives by near infrared spectroscopy. Eur. J. Lipid Sci. Technol. 112, 1209-1217. doi:10.1002/ejlt.201000372

Cherubini C, Migliorini M, Mugelli M, Viti P, Berti A, Cini E, Zanoni B. 2009. Towards a technological ripening index for olive oil fruits. J. Sci. Food Agr. 89, 671-682. doi:10.1002/jsfa.3499

Frías L, García-Ortiz A, Hermoso M, Jiménez A, Llavero Del Pozo MP, Morales J, Ruano T, Uceda M. 1991. Analistas de laboratorio de almazara. Junta de Andalucía, Sevilla, Spain.

García JM, Seller S, Pérez-Camino MC. 1996. Influence of fruit ripening on olive oil quality. J. Agric. Food Chem. 44, 3516-3520. doi:10.1021/jf950585u

Golding JB, Satyan S, Liebenberg C, Walsh K, McGlasson WB. 2006. Application of Portable NIR for Measuring Soluble Solids Concentrations in Peaches. Acta Hort. 713, 461-464.

Gómez-Rico A, Salvador MD, La Greca M, Fregapane G. 2006. Phenolic and volatile compounds of extra regard to fruit ripening and irrigation management. J. Agr. Food Chem. 54, 7130-7136. doi:10.1021/jf060798r PMid:16968073

Kusumiyati A, Akinaga T, Tanaka M, Kawasaki S. 2008. On-tree and after-harvesting evaluation of firmness, color and lycopene content of tomato fruit using portable NIR spectroscopy. J. Food. Agr. Environ. 6, 327-332.

Lavee S, Wodner M. 2004. The effect of yield, harvest time and fruit size on the oil content in fruits of irrigated olive trees (Olea europaea), cvs. Barnea and Manzanillo. Scientia Hort. 99, 267-277. doi:10.1016/S0304-4238(03)00100-6

León L, Rallo L, Garrido A. 2003. Análisis de aceituna intacta mediante espectroscopia en el infrarrojo cercano (NIRS): una herramienta de utilidad en programas de mejora de olivo. Grasas y Aceites 54, 41-47.

León L, Garrido-Varo A, Downey G. 2004. Parent and harvest year effects on near-infrared reflectance spectroscopic analysis of olive (Olea europaea L.) fruit traits. J. Agr. Food Chem. 52, 4957-4962. doi:10.1021/jf0496853 PMid:15291458

Mailer RJ, Ayton J, Conlan D. 2007. Influence of harvest timing on olive (Olea europaea) oil accumulation and fruit characteristics under Australian conditions. J. Food. Agr. Environ. 5, 58-63.

Mickelbart MV, James D. 2003. Development of a dry matter maturity index for olive (Olea europaea). N. Z. J. Crop Hort. Sci. 31, 269-276. doi:10.1080/01140671.2003.9514261

Nicolaï BM, Beullens K, Bobelyn E, Peirs A, Saeys W, Theron KI, Lammertyn J. 2007. Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review. Postharvest Biol. Technol. 46, 99-118. doi:10.1016/j.postharvbio.2007.06.024

Peano C, Reita G, Chiabrando V. 2006. Firmness and Soluble Solids Assessment of Nectarines by NIRs Spectroscopy. Acta Hort. 713: 465-470.

Peirs A, Lammertyn J, Ooms K, Nicolai BM. 2001. Prediction of the optimal picking date of different apple cultivars by means of VIS/NIR-spectroscopy. Postharvest Biol. Technol. 21, 189-199. doi:10.1016/S0925-5214(00)00145-9

Perez-Marin D, Sanchez MT, Paz P, Soriano MA, Guerrero JE, Garrido-Varo A. 2009. Non-destructive determination of quality parameters in nectarines during on-tree ripening and postharvest storage. Postharvest Biol. Technol. 52, 180-188. doi:10.1016/j.postharvbio.2008.10.005

Shenk JS, Westerhaus MO. 1995. Analysis of Agricultural and Food Products by Near Infrared Reflectance Spectroscopy. Monograph. NIRSystems, Inc.: Silver Spring, Md.

Shenk JS, Workman JJ, Westerhaus M O. 2001. Application of NIR spectroscopy to agricultural products: In: Burns DA, Ciurczak EW (Eds.) Handbook of Near-Infrared Analysis. Marcel Dekker, New York, 419-474.

Williams PC, Sobering D. 1996. How do we do it: a brief summary of the methods we use in developing near infrared calibrations en Near Infrared Spectroscopy, in Davies AMC, Williams PC (Eds.) Near Infrared Spectroscopy, The Future Waves: Proceedings of the 7th International Conference. NIR Publications, Chichester, UK, 185-188.

Wodner M, Lavee S, Epstein E. 1988. Identification and Seasonal Changes of Glucose, Fructose and Mannitol in Relation to Oil Accumulation during Fruit Development in Olea europaea (L.). Scientia Hort. 36, 47-54. doi:10.1016/0304-4238(88)90006-4

Zude M, Pflanz M, Kaprielian C, Aivazian BL. 2008. NIRS as a tool for precision horticulture in the citrus industry. Biosystems Engineering 99, 455-459. doi:10.1016/j.biosystemseng.2007.10.016

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Published

2011-09-30

How to Cite

1.
Gracia A, León L. Non-destructive assessment of olive fruit ripening by portable near infrared spectroscopy. Grasas aceites [Internet]. 2011Sep.30 [cited 2024Apr.19];62(3):268-74. Available from: https://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/1324

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