Prediction of lycopene and β-carotene in tomatoes by portable chroma-meter and VIS/NIR spectra

Tilahun, Shimeles; Park, Do Su; Seo, Mu Hong; Hwang, In Geun; Kim, Seok Hyeon; Choi, Han Ryul; Jeong, Cheon Soon

doi:10.1016/j.postharvbio.2017.10.007

“…Therefore, treating cherry tomato with 1-MCP can extend shelf life without affecting color quality. The color of tomato fruit is the result of synthesis of carotenoids as chloroplasts transform to chromoplasts [38,39]. Lycopene is the most abundant carotenoid, comprising approximately 90 percent of the carotenoids present in tomato, responsible for the development of deep red color of ripe tomato fruit [40].…”

Section: Discussionmentioning

confidence: 99%

Effects of 1-MCP on Quality and Storability of Cherry Tomato (Solanum lycopersicum L.)

Taye

¹

,

Tilahun

²

,

Seo

³

et al. 2019

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Cherry tomato is a perishable fruit due to its high rate of ethylene production and respiration during ripening. 1-Methylcyclopropene (1-MCP) is known to control ripening and reduce decay of fruit by inhibiting ethylene action. In the present study, the influence of 1-MCP application on quality and storability of ‘Unicorn’ cherry tomato was observed. Fruit at pink and red maturity stages were put in the commercial plastic containers and sealed with 40 μm low density polyethylene (LDPE) film, treated with 1-MCP (0 µL L−1 (control), 0.035 µL L−1 and 0.1 µL L−1), and stored at 10 °C in 85 ± 5% relative humidity (RH). The results indicated that application of 1-MCP at 0.1 µL L−1 significantly affected firmness, cell wall thickness, water soluble pectin, weight loss, surface color, lycopene content and physiological parameters in both pink and red maturity stages compared to 0.035 µL L−1 and control. 1-MCP treatment at 0.1 µL L−1 kept the fruits firmer than 0.035 µL L−1 and the control throughout the storage period for both maturity stages. Cell wall degradation in the control treatment was higher compared to the 0.1 µL L−1 1-MCP treated fruits in both maturity stages throughout the storage period. Results of this study revealed the effectiveness of application of 0.1 µL L−1 1-MCP on quality and shelf life of cherry tomato.

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“…Samples for reference analysis (α-solanine and α-chaconine) were prepared after taking VIS/NIR spectra data and color reading from intact tubers. Samples for reference analysis were frozen by liquid nitrogen and stored in a deep freezer (−80°C) until analysis [26].…”

Section: Methodsmentioning

confidence: 99%

“…e transmittance spectra were acquired from the intact tuber in the spectral region of 500-1100 nm with three (12 V/100 W) halogens lamp as a source of VIS/NIR light by using VIS/ NIR spectrometer (Life & Tech, Co., Ltd., Yongin, Korea) (Figure 1(a)) as indicated by Tilahun et al [26]. A tuber holder was used to keeping the tuber right above the detector (Figure 1(b)).…”

Section: Vis/nir Spectra Measurement and Analysismentioning

confidence: 99%

Prediction of α-Solanine and α-Chaconine in Potato Tubers from Hunter Color Values and VIS/NIR Spectra

Tilahun

¹

,

An

²

,

Hwang

³

et al. 2020

Journal of Food Quality

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The glycoalkaloids contents of potato tubers are usually measured by the destructive analysis that consumes time and requires expensive high-performance equipment. This study was carried out to determine the possibility of nondestructive estimation of α-solanine and α-chaconine content in potato tubers. Visible/near-infrared (VIS/NIR) spectra, color values, and the reference α-solanine and α-chaconine were measured from 180 tubers of ‘Atlantic’ and ‘Trent’ potato cultivars with eight replications at two-week intervals during the storage up to ten weeks. The partial least square (PLS) regression method was used to develop models correlating color and spectra data to the measured reference data. Regression coefficient (r) between color variables (Hunter a ∗ , a ∗ / b ∗ , and ( a ∗ / b ∗ )2) and the actual measured values of a-solanine and a-chaconine content were 0.74, 0.62, and 0.62 and 0.70, 0.58, and 0.57, respectively, for the prediction set. Concurrently, equations were developed from color variables in multiple regression with r-values of 0.76 and 0.71 for α-solanine and α-chaconine, respectively. Additionally, the selected PLS model of VIS/NIR spectra had promising predictive power for α-solanine and α-chaconine with r-values of 0.68 and 0.63, respectively, between measured and predicted samples. Taken together, although it requires further studies to improve the prediction power of the developed models, the results of this study revealed the possibility of using VIS/NIR spectra and color variables for the prediction of α-solanine and α-chaconine contents from intact unpeeled potato tubers with chemical-free, fast, and cheap assessment methods.

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“…While the visible and near-infrared spectroscopy is capable to obtain information about the internal composition and structure of samples [ 12 , 13 , 14 ]. Some scholars applied this technology for the determination of tomato maturity [ 15 , 16 ]. Alenazi et al [ 17 ] reported an assessment of fresh tomato fruit at five distinctive maturity stages (breaker, turning, pink, light-red, and red) using the handheld near infrared (NIR) enhanced spectrometer at a wavelength range of 285–1200 nm, and the results showed that the NIR spectroscopy is an effective tool for predicting tomato fruit quality during the harvest stage.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Tomato Maturity in Different Layers by Spatially Resolved Spectroscopy

Huang

¹

,

Si

²

,

Chen

³

et al. 2020

Sensors

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Tomato maturity is important to determine the fruit shelf life and eating quality. The objective of this research was to evaluate tomato maturity in different layers by using a newly developed spatially resolved spectroscopic system over the spectral region of 550–1650 nm. Thirty spatially resolved spectra were obtained for 600 tomatoes, 100 for each of the six maturity stages (i.e., green, breaker, turning, pink, light red, and red). Support vector machine discriminant analysis (SVMDA) models were first developed for each of individual spatially resolved (SR) spectra to compare the classification results of two sides. The mean spectra of two sides with the same source-detector distances were employed to determine the model performance of different layers. SR combination by averaging all the SR spectra was also subject to comparison with the classification model performance. The results showed large source-detector distances would be helpful for evaluating tomato maturity, and the mean_SR 15 obtained excellent classification results with the total classification accuracy of 98.3%. Moreover, the classification results were distinct for two sides of the probe, which demonstrated even if in the same source-detector distances, the classification results were influenced by the measurement location due to the heterogeneity for tomato. The mean of all SR spectra could only improve the classification results based on the first three mean_SR spectra, but could not obtain the accuracy as good as the following mean_SR spectra. This study demonstrated that spatially resolved spectroscopy has potential for assessing tomato maturity in different layers.

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Prediction of lycopene and β-carotene in tomatoes by portable chroma-meter and VIS/NIR spectra

Cited by 48 publications

References 22 publications

Effects of 1-MCP on Quality and Storability of Cherry Tomato (Solanum lycopersicum L.)

Effects of 1-MCP on Quality and Storability of Cherry Tomato (Solanum lycopersicum L.)

Prediction of α-Solanine and α-Chaconine in Potato Tubers from Hunter Color Values and VIS/NIR Spectra

Assessment of Tomato Maturity in Different Layers by Spatially Resolved Spectroscopy

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