Non-destructive prediction of sweetness of intact mango using near infrared spectroscopy

Jha, Shyam Narayan; Jaiswal, Pranita; Narsaiah, K.; Gupta, Mansha; Bhardwaj, Rishi; Singh, Ashish Kumar

doi:10.1016/j.scienta.2012.02.031

Cited by 82 publications

(31 citation statements)

References 27 publications

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“…Bench top and/or on-line NIR spectrometers have been used to determine SSC, dry matter content (DM), titratable acidity (TA), pulp firmness, starch content, and other physical-chemical parameters in mango fruit (Jha et al, 2012(Jha et al, , 2014Betemps et al, 2011;Subedi and Walsh, 2011;Valente et al, 2009;Delwiche et al, 2008;Subedi et al, 2007;Mahayothee et al, 2004;Saranwong et al, 2001Saranwong et al, , 2004Schmilovitch et al, 2000;Guthrie and Walsh, 1997). However, the evaluation of mango maturity in the packing house might result in postharvest losses as the fruit which do not fulfill the quality standards are discarded.…”

Section: Introductionmentioning

confidence: 99%

Determination of ‘Palmer’ mango maturity indices using portable near infrared (VIS-NIR) spectrometer

Neto

Assis²,

Casagrande

et al. 2017

Postharvest Biology and Technology

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Palmer' mango cultivar is a late season variety which is greatly accepted by European consumers. However, it is common to get reports of fruit quality problems, mainly due to maturity. Thus, the objective of this study was to develop calibration models for soluble solids content (SSC) and dry matter (DM) of 'Palmer' mangoes using portable (VIS-NIR) spectrometer. Interactance spectra were obtained with a portable F-750 spectrometer in the wavelength range of 306-1140 nm, 8 nm spectrum resolution, and 4 scans averaged per spectra. Spectra were used to develop SSC and DM models using partial least square regression (PLSR) with full cross validation. The best SSC calibration model was developed using spectra pre-processed with standard normal variate (SNV), first derivative of Savitzky-Golay and window of 699-999 nm. It was observed a RMSE CV of 1.39%, with a R CV 2 of 0.87, and RPD of 2.77. Better results were observed for the DM calibration model which was built with raw spectra using the window of 699-981 nm (RMSE CV of 8.81 g kg −1 , R CV 2 of 0.84, and RPD of 2.51). Poor calibration models were obtained for firmness. The results indicated that portable VIS-NIR spectrometer can be used as a non-destructive technique to assess SSC and DM content for 'Palmer' mangoes. It is necessary to incorporate more sources of variation, to reduce RMSE values and improve robustness, especially for fruit SSC and DM prediction.

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Section: Introductionmentioning

confidence: 99%

Determination of ‘Palmer’ mango maturity indices using portable near infrared (VIS-NIR) spectrometer

Neto

Assis²,

Casagrande

et al. 2017

Postharvest Biology and Technology

View full text Add to dashboard Cite

show abstract

“…Moreover, in actual manufacture and storage stages, it has been employed as the most important internal feature for grading and quality evaluation. Near-infrared (NIR) spectroscopy combined with chemometrics is a fast, accurate, non-destructive technique relatively easy to implement, moreover, NIR is well-established for internal quality analysis in food industries, in particular for the intact fruits such as apple (Lammertyn, Nicolaï, Ooms, De Smedt, & De Baerdemaeker, 1998;Mendoza, Lu, & Cen, 2012;Zhang, Xu, & Gu, 2014;Zhu et al, 2007), pear (Nicolaï et al, 2008;Li, Huang, Zhao, & Zhang, 2013), peach (Carlomagno, Capozzo, Attolico, & Distante, 2004;Golding, Satyan, Liebenberg, Walsh, & McGlasson, 2006), mango (Jha et al, 2012;Saranwong, Sornsrivichai, & Kawano, 2001;Subedi, Walsh, & Owens, 2007), citrus (Liao et al, 2013;Magwaza et al, 2012) and other fruits Nicolaï et al, 2007). Many researchers focused on developing NIR model using one or more varieties harvest during the year.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Informative Spectral Regions in FT-NIR Spectroscopy for Measuring the Soluble Solids Content of Apple

Wang

Cheng

Liu

et al. 2015

Intelligent Automation & Soft Computing

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A novel potential method, linear combination weight PLS (LCW-PLS) model, was suggested for improving the performance of routine PLS model based on selected informative regions. Moving window partial least squares (MWPLS), genetic algorithms interval partial least squares (GAiPLS) and synergy interval partial least squares (SiPLS) were used to optimize informative spectral regions from FT-NIR spectra. A total of 660 apples harvested at 2006, 2007 and 2008, were divided into calibration and prediction sets by Kennard-Stone method. The best calibration model was obtained by LCW-PLS method based on informative spectral regions of 4328-4787, 5323-5512, 5982-7135 and 7159-7463 cm 21 selected by MWPLS procedure, and corresponding weights of 0.004, 0.070, 0.066 and 0.860, respectively. The LCW-MWPLS model was applied to predict samples, the prediction results were with R P of 0.942, RMSEP of 0.649 %Brix and RPD P of 3.10. In addition, developed LCW-MWPLS model using random two years samples was used to predict one year samples excluded. The predictive results were with R P of 0.921-0.927, RMSEP of 0.714-0.795 %Brix and RPD P of 2.44-2.88. The LCW-MWPLS model giving a prediction error equal to 4% of fresh weight was sufficiently accurate to determine the SSC of apple non-destructively.

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“…Good pH prediction models have been developed for other fruit, such as strawberry, bananas and mango, using PLS regression. Therefore, NIRS in association with chemometrics can also be used to estimate pH in intact dovyalis hybrid fruit ( D. abyssinica Warb.…”

Section: Resultsmentioning

confidence: 99%

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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Non-destructive prediction of sweetness of intact mango using near infrared spectroscopy

Cited by 82 publications

References 27 publications

Determination of ‘Palmer’ mango maturity indices using portable near infrared (VIS-NIR) spectrometer

Determination of ‘Palmer’ mango maturity indices using portable near infrared (VIS-NIR) spectrometer

Optimization of Informative Spectral Regions in FT-NIR Spectroscopy for Measuring the Soluble Solids Content of Apple

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

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