Model development for soluble solids and lycopene contents of cherry tomato at different temperatures using near-infrared spectroscopy

Ren, Sheng; Cheng, Wu; Li, Huanhuan; Ali, Shujat; Agyekum, Akwasi Akomeah; Chen, Quansheng

doi:10.1016/j.postharvbio.2019.110952

Cited by 53 publications

(18 citation statements)

References 30 publications

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“…The only report to our knowledge available for lycopene quantification in tomatoes using a handheld Raman spectrometer (1064 nm) has showed an R 2 of 0.88 in their regression model, with no error value or external validation data set reported [ 46 ]. Sheng et al, [ 47 ] reported on a non-destructive method for lycopene determination in cherry tomatoes, with a lycopene concentration of 7.51 ± 1.27 mg/100 g, using portable NIR spectroscopy, reporting a correlation coefficient of 0.80 and SEP of 0.74 mg/100 g. Our data set had a wider lycopene range and comprised different types of tomatoes, including round, Roma, cherry, and grape tomatoes.…”

Section: Resultsmentioning

confidence: 99%

High-Throughput Phenotyping Approach for Screening Major Carotenoids of Tomato by Handheld Raman Spectroscopy Using Chemometric Methods

Akpolat

Barineau²,

Jackson³

et al. 2020

Sensors

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Our objective was to develop a rapid technique for the non-invasive profiling and quantification of major tomato carotenoids using handheld Raman spectroscopy combined with pattern recognition techniques. A total of 106 samples with varying carotenoid profiles were provided by the Ohio State University Tomato Breeding and Genetics program and Lipman Family Farms (Naples, FL, USA). Non-destructive measurement from the surface of tomatoes was performed by a handheld Raman spectrometer equipped with a 1064 nm excitation laser, and data analysis was performed using soft independent modelling of class analogy (SIMCA)), artificial neural network (ANN), and partial least squares regression (PLSR) for classification and quantification purposes. High-performance liquid chromatography (HPLC) and UV/visible spectrophotometry were used for profiling and quantification of major carotenoids. Seven groups were identified based on their carotenoid profile, and supervised classification by SIMCA and ANN clustered samples with 93% and 100% accuracy based on a validation test data, respectively. All-trans-lycopene and β-carotene levels were measured with a UV-visible spectrophotometer, and prediction models were developed using PLSR and ANN. Regression models developed with Raman spectra provided excellent prediction performance by ANN (rpre = 0.9, SEP = 1.1 mg/100 g) and PLSR (rpre = 0.87, SEP = 2.4 mg/100 g) for non-invasive determination of all-trans-lycopene in fruits. Although the number of samples were limited for β-carotene quantification, PLSR modeling showed promising results (rcv = 0.99, SECV = 0.28 mg/100 g). Non-destructive evaluation of tomato carotenoids can be useful for tomato breeders as a simple and rapid tool for developing new varieties with novel profiles and for separating orange varieties with distinct carotenoids (high in β-carotene and high in cis-lycopene).

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Section: Resultsmentioning

confidence: 99%

High-Throughput Phenotyping Approach for Screening Major Carotenoids of Tomato by Handheld Raman Spectroscopy Using Chemometric Methods

Akpolat

Barineau²,

Jackson³

et al. 2020

Sensors

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show abstract

“…According to Table 4, it was shown that PLS gave optimum results compared to other method since the RMSE value was the smallest. Generally, the larger the correlation coefficient, the smaller the root mean square error, and it indicates that the overall performance of the model is better [39]. It could be said that the lycopene content in high soluble solids of tomato fruits (grown under water stress treatment) after storage was best determined using PLS analysis with Visible/Near-infrared Spectroscopy non-destructively.…”

Section: Discussionmentioning

confidence: 99%

Non-destructive Measurement of Lycopene Content in High Soluble Solids Stored Tomato (Solanum Lycopersicum Mill. cv Rinka 409)

Anggraeni¹,

Khuriyati²,

Falah³

et al. 2020

Int. J. Adv. Sci. Eng. Inf. Technol.

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High-quality fruits can be produced by controlling the environmental factors, i.e. temperature, relative humidity, carbon dioxide, and light intensity. The tomato (Solanum lycopersicum) variety 'Rinka 409', was grown hydroponically with a high-wire system in high technology greenhouse, Ehime University, Japan. The water stress treatment using visual monitoring system was used to produce the high soluble solids tomato fruits. Moreover, a high lycopene content of tomato can be produced by controlling the storage condition. Non-destructive measurement has been known to provide a fast and accurate quality measurement of fruits and vegetables. The objectives of this study were to develop a precise position for the non-destructive measurement of the lycopene content in high soluble solids stored tomato using Vis/NIR spectroscopy and evaluate its performance. In this study, the high soluble solids of tomato fruits were grown under water stress treatment and stored after harvesting at 25°C in a cool incubator for 7 days. The tomato spectra were measured using Vis/NIR spectroscopy with the wavelength 500-1010 nm. The estimation of the lycopene content was based on the statistical model using multivariate analysis. From this study, it is concluded that the measurement of lycopene content in high soluble solids of tomato fruits after storage by using the top part of the tomato, was better than if it is compared to the side part. It was best determined using PLS analysis with Visible/Near-infrared Spectroscopy non-destructively, with the R 0.98 and RMSE 0.80.

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“…As early as 20 years ago, Slaughter, Barrett, and Boersig (1996) and Peiris, Dull, Leffler, and Kays (1998) demonstrated the feasibility of using this spectroscopy to detect soluble solids content in fresh tomatoes. Later, this technique was also used to detect firmness (Feng, Zhang, Adhikari, & Guo, 2019), pH, total sugar (Tiwari et al, 2013), total acid (Pedro & Ferreira, 2007), lycopene contents (Sheng et al, 2019), and so forth. However, the conventional Vis–NIRS only can measure a specific small area (or point) without providing spatial information of the tested object.…”

Section: Introductionmentioning

confidence: 99%

Identification of tomatoes with early decay using visible and near infrared hyperspectral imaging and image‐spectrum merging technique

Wang

Zhang

et al. 2021

J Food Process Engineering

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Effective detection of tomatoes with early decay still remains one of the major problems in the post-harvest processing. The feasibility of using visible and near infrared (Vis-NIR) hyperspectral reflectance imaging coupled with image-spectrum merging processing and analysis technology to detect early decay on tomatoes was observed. Mean normalization method was used to correct the uneven illumination caused by the large curvature change and the reflective characteristics of tomato surface. Principal component (PC) clustering analysis of spectra was used to find the optimal PC that was then used to distinguish sound and decayed tissues of tomatoes. Based on the selected PC, three characteristic wavelengths images at 596, 666, and 858 nm were obtained and the new combination image was calculated. The pseudo-color image processing and RGB (red, green, and blue) transformation were applied to enhance the contrast between decayed and sound regions on the combined image. G component of RGB image and the corrected single-wavelength image at 666 nm were used for segmentation of the decayed region and stem-end on tomatoes, respectively. All samples including 120 decayed and 120 sound tomatoes were used

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Model development for soluble solids and lycopene contents of cherry tomato at different temperatures using near-infrared spectroscopy

Cited by 53 publications

References 30 publications

High-Throughput Phenotyping Approach for Screening Major Carotenoids of Tomato by Handheld Raman Spectroscopy Using Chemometric Methods

High-Throughput Phenotyping Approach for Screening Major Carotenoids of Tomato by Handheld Raman Spectroscopy Using Chemometric Methods

Non-destructive Measurement of Lycopene Content in High Soluble Solids Stored Tomato (Solanum Lycopersicum Mill. cv Rinka 409)

Identification of tomatoes with early decay using visible and near infrared hyperspectral imaging and image‐spectrum merging technique

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