Predicting soluble solid content in intact jaboticaba [Myrciaria jaboticaba (Vell.) O. Berg] fruit using near-infrared spectroscopy and chemometrics

Mariani, Nathália Cristina Torres; Costa, Rosangela Câmara; Lima, Kássio M. G.; Nardini, Viviani; Júnior, Luís Carlos Cunha; Teixeira, Gustavo Henrique de Almeida

doi:10.1016/j.foodchem.2014.03.066

Cited by 21 publications

(13 citation statements)

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“…Spectral features were interpreted as an association between the 4500–5400 cm −1 region in which the water molecules are present (4500–5400 cm −1 ) and O–H combinations (6500–7200 cm −1 ), while the small peak observed between 8200 and 8800 cm −1 can be correlated with the presence of sugars which are associated with the second and third overtones of the CH bond . Similar results were reported in studies carried out with intact fruit, with the NIR spectra being dominated by the presence of water with overtone bands of OH bonds and combinations …”

Section: Resultssupporting

confidence: 77%

“…20,21 Similar results were reported in studies carried out with intact fruit, with the NIR spectra being dominated by the presence of water with overtone bands of OH bonds and combinations. 10,11,22 According to Nicolaï et al, 9 the similarity observed in NIR spectra of intact fruit is the reason of why chemometric methods were necessary to extract useful information from NIR spectra. Therefore, NIR spectra were pre-processed to develop the PLS models.…”

Section: Ft-nir Spectramentioning

confidence: 99%

“…One alternative is to use near infrared spectroscopy (NIRS) as suggested earlier stated by Abbott . This analytical method has been used to determine internal quality attributes of various fruit, even in small fruit, such as açaí and juçara, jaboticaba and wax jambu fruit . Reflectance optical geometry was used to predict SSC, TA and pH in intact strawberry and in grapes .…”

Section: Introductionmentioning

confidence: 99%

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PLS, iPLS, GA‐PLS models for soluble solids content, pH and acidity determination in intact dovyalis fruit using near‐infrared spectroscopy

Assis¹,

Fusco

Costa

et al. 2018

J Sci Food Agric

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Section: Resultssupporting

confidence: 77%

Section: Ft-nir Spectramentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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PLS, iPLS, GA‐PLS models for soluble solids content, pH and acidity determination in intact dovyalis fruit using near‐infrared spectroscopy

Assis¹,

Fusco

Costa

et al. 2018

J Sci Food Agric

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“…The determination of SSC and firmness are based on simple analytical methods (AOAC, 1997), but both determinations are destructive, time consuming, and are not adequate to monitor peach quality in modern grading lines. One alternative method is the use of near infrared (NIR) spectroscopy as this method has been used to determine internal quality attributes of various fruit (Nicolaï et al, 2007;Mariani et al, 2014;Viegas et al, 2016). Regarding peach fruit, Golic and Walsh (2006) developed a combined model for several peach and nectarine cultivars to determine SSC.…”

Section: Introductionmentioning

confidence: 99%

Robust PLS models for soluble solids content and firmness determination in low chilling peach using near-infrared spectroscopy (NIR)

Nascimento

Carvalho

Júnior

et al. 2016

Postharvest Biology and Technology

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The objectives of this study was to develop partial least square (PLS) models using NIR spectroscopy for the determination of SSC and firmness in intact low chilling 'Aurora-1' peach fruit, and verify the influence of maturity stage and harvest season on the models to be developed (robustness). FT-NIR spectra were obtained as log 1/R with fruit harvested in 2013 at 3 maturity stages and in 2014. The spectra were collected on the background and blush colour skin areas of the each fruit. Model performance was evaluated based on the values of root mean square error for prediction (RMSE P) and coefficient of determination (R P 2) obtained from validation fruit set (Kennard-Stone), and prediction fruit set (2014). PCA could not group the fruit based on blush and background skin colour, maturity stages, and harvest season. The model constructed using the external validation method obtained a RMSE VE of 1.08 % with 11 latent variables (LV S) and a R VE 2 of 0.59. The prediction set, independent data, resulting in a less accurate model (RMSE P 1.04 %, R p 2 0.45 and 11 LV S). The same trend happened for determining firmness with the external validation resulting in better model with RMSE VE 9.51 N and R VE 2 of 0.40 and the prediction set with RMSE P of 13.2 N, R P 2 0.40 with 7 LV S. The NIR spectroscopy showed to be a potential analytical method to determine SSC and firmness of intact low chilling 'Aurora 1' cultivar. However, it is necessary to optimize the models in other to reduce the prediction errors. 2015 Elsevier B.V. All rights reserved.

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“…The visible and near-infrared (Vis-NIR) spectroscopy has been successfully proven to be one of the most efficient and advanced tools for the TSS estimation of fruits (Nicolaï et al 2007), such as apple (Bobelyn et al 2010), citrus (Wang and Xie 2014), pear (Travers et al 2014), grape (Bobelyn et al 2010), and jaboticaba fruit (Mariani et al 2014). The Vis-NIR spectroscopy measures various fundamental molecular vibrations, including those from C-H, O-H, N-H, and C=O and from other functional groups.…”

Section: Introductionmentioning

confidence: 99%

Feasibility Study on Quantitative Pixel-Level Visualization of Internal Quality at Different Cross Sections Inside Postharvest Loquat Fruit

Zhu

Nie

et al. 2016

Food Anal. Methods

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Visualizing the quality variation inside loquat fruit at pixel level is important to deeply understand its ripening process and further optimize its preharvest planting pattern and postharvest storage strategy. Total soluble solids (TSS) is a major quality attribute of loquat fruit and detecting changes in its content can be used to monitor the ripening and postharvest senescence of loquat fruit. The refractometer method cannot provide detailed TSS distribution within loquat flesh, because the analysis focuses on measuring the mean TSS of only a flesh cube, which is used to make juice for the refractometer measurement. In this study, hyperspectral imaging was used to measure and visualize internal TSS distribution within loquat fruit. Loquat fruits with different TSS contents were selected and cut at different cross sections for imaging. Different calibration and wavelength selection algorithms were applied and compared. The uninformative variable elimination by partial least square regression model with preprocessing from spectral set I (468-1026 nm) was identified as the best model for the TSS determination of loquat flesh, which had a high prediction ability with a correlation coefficient of 0.960 and residual predictive deviation of 3.513. On the basis of the best model, the quantitative TSS distribution at different cross sections inside loquat fruit was visualized at pixel level. The results showed that hyperspectral imaging is a feasible way of visualizing the spatial changes of TSS distribution inside loquat fruit at pixel level, which would be helpful to understand the detailed TSS change inside postharvest loquat fruit.

show abstract

Predicting soluble solid content in intact jaboticaba [Myrciaria jaboticaba (Vell.) O. Berg] fruit using near-infrared spectroscopy and chemometrics

Cited by 21 publications

References 13 publications

PLS, iPLS, GA‐PLS models for soluble solids content, pH and acidity determination in intact dovyalis fruit using near‐infrared spectroscopy

PLS, iPLS, GA‐PLS models for soluble solids content, pH and acidity determination in intact dovyalis fruit using near‐infrared spectroscopy

Robust PLS models for soluble solids content and firmness determination in low chilling peach using near-infrared spectroscopy (NIR)

Feasibility Study on Quantitative Pixel-Level Visualization of Internal Quality at Different Cross Sections Inside Postharvest Loquat Fruit

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