Determination of quality attributes and ripening stage using vis-nir spectroscopy in intact seriguela and umbu fruits

Authors

DOI:

https://doi.org/10.13083/reveng.v30i1.12929

Keywords:

Spondias purpurea L, Spondias tuberosa, Total soluble solids, Firmness, Non-destructive methods

Abstract

To produce seriguela and umbu on a large scale, it is important to detect the ripening stages and quality attributes of the fruits, to define the ideal harvest point. Thus, this study aimed to determine, in a non-destructive way, the quality attributes and ripening stages of intact seriguela and umbu fruits using Vis-NIR spectroscopy. A total of 150 seriguela fruits and 150 umbu fruits were used, at different ripening stages, and subjected to spectral analysis and reference laboratory testing to determine total soluble solids (TSS) and firmness. Spectral data were subjected to different pre-processing techniques. Regression and classification models were created through the statistical learning and machine learning methods. The models with the best performance for TSS were RF (R2P = 0.94) and PLSR (R2P = 0.68), and for firmness were PLSR (R2P = 0.92) and RF (R2P = 0.58), for seriguela and umbu, respectively. The model with the best performance in the classification was LDA, with a precision greater than 95% to discriminate the ripening stages of both fruits. Therefore, the Vis-NIR spectroscopy is a potential tool to determine the quality attributes and ripening stages, in a non-destructive way, of intact seriguela and umbu fruits.

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References

ALVARES, C. A.; STAPE, J. L.; SENTELHAS, P. C.; GONÇALVES, J. L. M.; SPAROVEK, G. Köppen’s climate classification map for Brazil. Meteorol. Z., v. 22, p. 711-728, 2013.

BARNES, R. J.; DHANOA, M. S.; LISTER, S. J. Standard normal variate transformation and detrending of near-infrared diffuse reflectance spectra. Applied Spectroscopy, v. 43, n. 5, p. 772-777, 1989.

BIZZANI, M.; FLORES, D. W. M.; COLNAGO, L. A.; FERREIRA, M. D. Non-invasive spectroscopic methods to estimate orange firmness, peel thickness, and total pectin content. Microchemical Journal, v. 133, p. 168-174, 2017.

BRENNA, O. V.; BERARDO, N. Application of near-infrared reflectance spectroscopy (NIRS) to the evaluation of carotenoids content in maize. Journal of Agricultural and Food Chemistry, v. 52, n. 18, p. 5577-5582, 2004.

BRENO, P.; CARVALHO FILHO, C. D.; MATTA, V. M.; MENEZES, J. S.; LIMA, P. C.; PINTO, C. O.; CONCEIÇÃO, L. E. M. G. Produção e caracterização físico-química de fermentado de umbu. Ciência Rural, v. 42, n. 9, p.1688-1693, 2012.

CAYUELA, J. A.; WEILAND, C. Intact orange quality prediction with two portable NIR spectrometers. Postharvest Biology and Technology, v. 58, n. 2, p. 113-120, 2010.

COSTA, B. L.; SOUZA, P. A.; SANTOS, E. R. M.; SENA NETO, B. G.; SANTOS, S. C. L.; LUCAS, G. K. S.; SILVA, R. J.; ROCHA, J. P. M.; CARBEIRO, L. C. Qualidade pós-colheita dos frutos do Umbuzeiro (Spondias tuberosa) submetidos ao recobrimento com Fécula de Mandioca e PVC. Society and Development, v. 10, n.1, p. 1-12, 2021.

COSTA, D. S.; MESA, N. F. O.; FREIRE, M. S.; RAMOS, R. P.; MEDEROS, B. J. T. Development of predictive models for quality and maturation stage attributes of wine grapes using Vis-NIR reflectance spectroscopy. Postharvest Biology and Technology, v. 150, p. 166-178, 2019.

ENGELSEN, S. B.; MIKKELSEN, E.; MUNCK, L. New appcroaches to rapid spectroscopic evaluation of properties in pectic polymers. Progress in Colloid and Polymer Science, v. 108, p. 166-174, 1998.

FU, X.; YING, Y.; ZHOU, Y.; XIE, L.; XU, H. Application of NIR spectroscopy for firmness evaluation of peaches. Journal of Zhejiang University SCIENCE B, v. 9, n. 7, p. 552-557, 2008.

GABRIËLS, S. H. E. J.; MISHRA, P.; MENSINK, M. G. J.; SPOELSTRA, P.; WOLTERING, E. J. Non-destructive measurement of internal browning in mangoes using visible and near-infrared spectroscopy supported by artificial neural network analysis. Postharvest Biology and Technology, v. 166, p. 1-9, 2020.

GELADI, P.; KOWALSKI, B. R. Partial least-squares regression: a tutorial. Analytica Chimica Acta, v. 185, p. 1-17, 1986.

GÓMEZ, 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, v. 77, n. 2, p. 313-319, 2006.

GODDU, R. F.; DELKER, D. A. Spectra-structure correlations for near-infrared region. Analytical Chemistry, v. 32, n. 1, p. 140-141, 1960.

GORRY, P. A. General least-square smoothing and differentiation by the convolution (Savitzky-Golay) method. Analytical Chemistry, v. 62, n. 6, p. 570-573, 1990.

HEMRATTRAKUN, P.; NAKANO, K.; BOONYAKIAT, D.; OHASHI1, S.; MANIWARA, P.; THEANJUMPOL, P.; SEEHANAM, P. Comparison of reflectance and interactance modes of visible and near-infrared spectroscopy for predicting persimmon fruit quality. Food Analytical Methods, v. 14, p. 117-126, 2021.

ISAKSSON, T.; NAES, T. The effect of multiplicative scatter correction (MSC) and linearity improvement in NIR spectroscopy. Applied Spectroscopy, v. 42, n. 7, p. 1273-1284, 1998.

LI, J.; HUANG, W.; ZHAO, C.; ZHANG, B. A comparative study for the quantitative determination of soluble solids content, pH and firmness of pears by Vis/NIR spectroscopy. J. Food Eng., v. 116, p. 324–332, 2013.

LIMA, M. A. C.; SILVA, S. M.; OLIVEIRA, V. R. Umbu - Spondias tuberosa. In: RODRIGUES, S.; SILVA, E. O.; BRITO, E. S. (ed.). Exotic fruits reference guide. London: Academic Press, 2018.

LIMA, M. A. C.; CASTRICINI, A. Qualidade e pós-colheita do umbu. Informe Agropecuário, v. 40, n. 307, p. 80-90, 2019.

LIRA JÚNIOR, J S.; BEZERRA, J. E. F.; LEDERMAN, I. E.; MOURA, ROBERTO J. M. Produção e características físico-químicas de clones de cirigueleira na Zona da Mata Norte de Pernambuco. Revista Brasileira de Ciências Agrárias, v. 5, n. 1, p. 43-48, 2010.

LUO, X.; TAKAHASHI, T.; KYO, K.; ZHANG, S. Wavelength selection in vis/NIR spectra for detection of bruises on apples by ROC analysis. J. Food Eng., v. 109, p. 457-466, 2012.

MA, T.; XIA, Y.; INAGAKI, T.; SATORU TSUCHIKAWA, S. Rapid and nondestructive evaluation of soluble solids content (SSC) and firmness in apple using Vis–NIR spatially resolved spectroscopy. Postharvest Biology and Technology, v. 173, p. 1-12, 2021.

MALDONADO-ASTUDILLO, Y. I.; ALIA-TEJACAL, I.; NÚNEZ-COLÍN, C. A.; JIMÉNEZ-HERNÁNDEZ, J.; PELAYO-ZALDÍVAR, C.; LÓPEZ-MARTÍNEZ, V.; ANDRADE-RODRÍGUEZ, M.; BAUTISTA-BANOS, S.; VALLE-GUADARRAMA, S. Postharvest physiology and technology of Spondias purpurea L. and S. mombin L. Scientia Horticulturae, v. 174, p. 193-206, 2014.

MENEZES, P. H. S.; SOUZA, A. A.; SILVA, E. S.; MEDEIROS, R. D.; BARBOSA, N. C.; SORIA, D. G. Influência do estádio de maturação na qualidade físico-química de frutos de umbu (Spondias tuberosa). Scientia Agropecuaria, v. 8, n. 1, p. 73-78, 2017.

MOGHIMI, A.; AGHKHANI, M. H.; SAZGARNIA, A.; SARMAD, M. Vis/NIR spectroscopy and chemometrics for the prediction of soluble solids content and acidity (pH) of kiwifruit. Biosystems Engineering, v. 106, n. 3, p. 295-302, 2010.

MORAES, F. P. M.; COSTA, R. C.; MORAIS, C. L. M.; MEDEIROS, F. G. M.; FERNANDES, T. R. N.; HOSKIN, R. T.; LIMA, K. M. G. Estimation of ascorbic acid in intact acerola (Malpighia emarginata DC) fruit by NIRS and Chemometric Analysis. Horticulturae, v. 5, n. 12, p. 1-10, 2019.

MONTALVO-GONZÁLEZ, E.; GARCÍA, H. S.; OCA, M. M.; TOVAR-GÓMEZ, B. Effect of light on Mexican plum stored under different storage conditions. Journal of Food, v. 9, n. 1, 2011.

NARAIN, N.; BORA, P. S.; HOLSCHUH, H. J.; VASCONCELOS, M. A. S. Variation in physical and chemical composition during maturation of umbu (Spondias tuberosa) fruits. Food Chemistry, v. 44, n. 4, p. 255-259, 1992.

NERIS, T. S.; LOSS, R. A.; GUEDES, S. F. Caracterização físico-química da seriguela (Spondias purpurea L.) colheitadas no município de Barra do Bugres/MT em diferentes estádios de maturação. Sustenere, v. 7, n. 1, p. 1-10, 2017.

RAMBO, M. K. D.; AMORIM, E. P.; FERREIRA, M. M. C. Potential of visible-near infrared spectroscopy combined with chemometrics for analysis of some constituents of coffee and banana residues. Analytica Chimica Acta, v. 775, p. 41-49, 2013.

SAMPAIO, S. A.; BORA, P. S.; HOLSCHUH, H. J. Postharvest respiration and maturationof some lesser-known exotic fruits from Brazil: ciriguela (Spondias purpurea L.). Ceres, v. 55, n. 2, p. 141-145, 2008.

SANCHES, A. G.; SILVA, M. B.; MOREIRA, E. G. S.; SANTOS, E. X. Atraso na maturação e qualidade pós-colheita de seriguela exposta a radiação ultravioleta-C. Nativa, v. 6, n. 3, p. 225-232, 2018.

SANTOS NETO, J. P. S.; ASSIS, M. W. D.; CASAGRANDE, I. P.; CUNHA JÚNIOR, L. C.; TEIXEIRA, G. H. A. Determination of ‘Palmer’ mango maturity indices using portable near infrared (VIS-NIR) spectrometer. Postharvest Biology and Technology, v. 130, p. 75-80, 2017.

SANTOS, C. A. F.; OLIVEIRA, V. R. Inter-relações genéticas entre espécies do gênero Spondias com base em marcadores AFLP. Revista Brasileira de Fruticultura, v. 30, n. 3, p.731-735, 2008.

SAVITZKY, A.; GOLAY, M. J. E. Smoothing and differentiation of data by simplified least squares procedures. Analytical Chemistry, v. 36, n. 8, p. 1627-1639, 1964.

SILVA, L. R. I.; PEREIRA, T. S.; SILVA, V. M. A.; SILVA, G. M.; RAMOS LUIZ, M.; SANTOS, N. C.; ALMEIDA, R. L. J.; RIBEIRO, V. H. A.; MUNIZ, C. E. S.; SILVA EDUARDO, R.; SILVA, R. de A. Propriedades termofísicas da polpa de seriguela em diferentes estádios de maturação. Research, Society and Development, v. 9, n. 8, p. 1-15, 2020.

SOUZA, S. F.; SILVA, J. L. M.; GUEDES, J. P. M.; LIMA, J. R. F. Competitividade e parcela de mercado das exportações brasileiras de manga: uma análise do modelo Constant Market Share. Revista Econômica do Nordeste, Fortaleza, v. 47, n. 1, p. 39-48, 2016.

TORRES, I.; PÉREZ-MARÍN, D.; HABA, M. J.; SANCHEZ, M. T. Developing universal models for the prediction of physical quality in citrus fruits analysed on-tree using portable NIRS sensors. Biosystems Engineering, v. 153, p. 140-148, 2017.

VLAIC, R. A.; MURESAN, V.; MURESAN, A. E.; MURESAN, C. C.; PAUCEAN, A.; MITRE, V.; CHIS, S. M.; MUSTE, S. The changes of polyphenols, flavonoids, anthocyanins and chlorophyll content in plum peels during growth phases: from fructification to ripening. Notulae Botanicae Horti Agrobotanici Cluj-Napoca, v. 46, n. 1, p. 148-155, 2018.

WOLD, S.; RUHE, A.; WOLD, H. The collinearity problem in linear regression. The partial least square (PLS) approach to generalized inverses. SIAM Journal on Scientific Computing, v. 5, n. 3, p. 735-743, 1984.

WOLD, S.; ANTTI, H.; LINDGREN, F.; ÖHMAN, J. Orthogonal signal correction of near-infrared spectra. Chemometrics and Intelligent Laboratory Systems, v. 44, n. 1, p. 175-185, 1998.

XIAO, H.; LI, A.; LI, M.; SUN, Y.; TU, K.; WANG, S.; PAN, L. Quality assessment and discrimination of intact white and red grapes from Vitis vinifera L. at five ripening stages by visible and near-infrared spectroscopy. Scientia Horticulturae, v. 233, p. 99-107, 2018.

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Published

2022-05-26

How to Cite

de Araujo Souza , P., Ferreira , I. J. S., & Costa, D. dos S. (2022). Determination of quality attributes and ripening stage using vis-nir spectroscopy in intact seriguela and umbu fruits. Engineering in Agriculture, 30(Contínua), 127–141. https://doi.org/10.13083/reveng.v30i1.12929

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Digital Agriculture