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Rapid Analyses of Carotenoids in Tomato Paste Using Handheld Raman Spectroscopy

Chen, Yu-ju
http://rave.ohiolink.edu/etdc/view?acc_num=osu1523627070628992

Abstract Details

2018, Master of Science, Ohio State University, Food Science and Technology.
The objective of this study was to develop reliable, fast and non-destructive protocols for analyses of carotenoids in tomato paste by Raman spectroscopy combined with pattern recognition analyses. Tomato paste samples were kindly provided by tomato processing companies in California and different carotenoid varieties of tomatoes were obtained from the OSU Tomato Genetics and Breeding Program at Wooster, Ohio. Spectra of tomato paste were directly collected, without any sample preparation steps, with a handheld Raman spectrometer equipped with a 1064nm laser. Lycopene concentration in red tomato paste was determined by UV-Vis spectrophotometry at 503nm. HPLC equipped with a photodiode array detector was utilized for carotenoid profiling. Raman spectra were evaluated by pattern recognition analyses, including quantification by partial least square regression (PLSR) and classification by soft independent modeling of class analogy (SIMCA). Raman spectra of red tomatoes showed unique marker bands at 1510 cm-1 (C=C stretching), 1156cm-1 (C-C stretching), and 1002cm-1 (C-CH3 in-plane rocking) that are characteristic of the long conjugated polyene chain of lycopene. Cross-validated (leave-one-out) PLSR model (3 latent variables) predicted lycopene content with a standard error of cross-validation (SECV) of 4.7 mg/100g and a coefficient of determination of 0.96. Screening of tomato paste from varieties that accumulate a diverse carotenoid profile showed a unique region associated with C=C stretching that changed according to the dominant carotenoid: all-trans-lycopene at 1511 cm-1, ß-carotene at 1521 cm-1, and tetra-cis-lycopene at 1525 cm-1. The unique Raman spectral signatures allowed SIMCA to classify the tomato paste into four classes based on their carotenoid profile without any misclassification, producing tight and well-separated clusters that can be used for predicting unknown samples. Raman spectroscopy is positioning as an attractive fingerprinting technique for tomato industry because it offers portable and ruggedized instrumentation for field deployment and requires little to no sample preparation to rapidly and accurately assess carotenoid quality and quantity in tomato-based products.
Luis Rodriguez-Saona (Advisor)
Christopher Simons (Committee Member)
Rafael Jimenez-Flores (Committee Member)
103 p.
Food Science
Carotenoids; tomato paste; Handheld Raman Spectroscopy

Recommended Citations

Citations

  • Chen, Y.-J. (2018). Rapid Analyses of Carotenoids in Tomato Paste Using Handheld Raman Spectroscopy [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523627070628992

    APA Style (7th edition)

  • Chen, Yu-ju. Rapid Analyses of Carotenoids in Tomato Paste Using Handheld Raman Spectroscopy. 2018. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1523627070628992.

    MLA Style (8th edition)

  • Chen, Yu-ju. "Rapid Analyses of Carotenoids in Tomato Paste Using Handheld Raman Spectroscopy." Master's thesis, Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523627070628992

    Chicago Manual of Style (17th edition)

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This open access ETD is published by The Ohio State University and OhioLINK.