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Application of Spectroscopy for Assessing Quality and Safety of Fresh Horticultural Produce

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Nondestructive Quality Assessment Techniques for Fresh Fruits and Vegetables

Abstract

Recently, quality and safety of fruits and vegetables are a great concern to consumers. It is of great importance for the horticultural industry to produce high-quality and safe products for consumption. The main quality attributes required by the consumers are visual appearance, such as color, glossiness, surface texture, size, and absence of blemishes. There is also an increasing awareness on the chemical residues that threaten the health of consumers. Fresh produce is susceptible to a wide range of defects before harvest, at harvest, and during postharvest operations. Traditional detection of defects relies on manual and visual inspections. The majority of traditional quality assessment methods are destructive and offline in nature. Over the past few decades, research has focused on the development of diverse noncontact, rapid, eco-friendly, and accurate methods for examination of fruits and vegetables. The application of nondestructive spectroscopic techniques has gained popularity. Application of spectroscopy has been extended to the safety assessment and monitoring quality. This chapter entails the success of spectroscopic applications in fresh fruits and vegetables. It further discusses the measurement or operation principles, major components, steps of measurement, data analysis, important factors that need to be considered for good results, and applications of mid- and near infrared spectroscopy in fresh horticultural produce.

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References

  • Abbasi, H., Bani, M. A., Nazeri, M., & Mireei, S. A. (2014). Application of fluorescence spectroscopy in the freshness control of lettuce leaf after irradiation of cold atmospheric pressure plasma. In The 2nd conference of plasma engineering and plasma physics (PEP 2014) (pp. 51–57).

    Google Scholar 

  • Alenazi, M. M., Shafiq, M., Alsadon, A. A., Alhelal, I. M., Alhamdan, A. M., Solieman, T. H., Ibrahim, A. A., Shady, M. R., & Saad, M. A. (2020). Non-destructive assessment of flesh firmness and dietary antioxidants of greenhouse-grown tomato (Solanum lycopersicum L.) at different fruit maturity stages. Saudi Journal of Biological Sciences, 27(10), 2839–2846.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Aouadi, B., Zaukuu, J. L. Z., Vitális, F., Bodor, Z., Fehér, O., Gillay, Z., Bazar, G., & Kovacs, Z. (2020). Historical evolution and food control achievements of near infrared spectroscopy, electronic nose, and electronic tongue—Critical overview. Sensors, 20, 5479.

    Article  CAS  PubMed Central  Google Scholar 

  • Bureau, S., Cozzolino, D., & Clark, C. J. (2019). Contributions of Fourier-transform mid infrared (FT-MIR) spectroscopy to the study of fruit and vegetables: A review. Postharvest Biology and Technology, 148, 1–14.

    Article  CAS  Google Scholar 

  • Cattaneo, T. M., & Stellari, A. (2019). NIR spectroscopy as a suitable tool for the investigation of the horticultural field. Agronomy, 9, 503.

    Article  CAS  Google Scholar 

  • Cen, H., & He, Y. (2007). Theory and application of near infrared reflectance spectroscopy in determination of food quality. Trends in Food Science & Technology, 18(2), 72–83.

    Article  CAS  Google Scholar 

  • Cortés, V., Blasco, J., Aleixos, N., Cubero, S., & Talens, P. (2019). Monitoring strategies for quality control of agricultural products using visible and near-infrared spectroscopy: A review. Trends in Food Science & Technology, 85, 138–148.

    Article  Google Scholar 

  • Cozzolino, D., Cynkar, W. U., Shah, N., & Smith, P. (2011). Multivariate data analysis applied to spectroscopy: Potential application to juice and fruit quality. Food Research International, 44(7), 1888–1896.

    Article  CAS  Google Scholar 

  • Dos Santos, C. A. T., Lopo, M., Páscoa, R. N., & Lopes, J. A. (2013). A review on the applications of portable near infrared spectrometers in the agro-food industry. Applied Spectroscopy, 67(11), 1215–1233.

    Article  PubMed  Google Scholar 

  • Golic, M., & Walsh, K. B. (2006). Robustness of calibration models based on near infrared spectroscopy for the in-line grading of stone fruit for total soluble solids content. Analytica Chimica Acta, 555(2), 286–291.

    Article  CAS  Google Scholar 

  • Gómez, A. H., He, Y., & Pereira, A. G. (2006). Non-destructive measurement of acidity, soluble solids and firmness of Satsuma mandarin using Vis/NIR-spectroscopy techniques. Journal of Food Engineering, 77(2), 313–319.

    Article  Google Scholar 

  • Guthrie, J. A., Liebenberg, C. J., & Walsh, K. B. (2006). NIR model development and robustness in prediction of melon fruit total soluble solids. Australian Journal of Agricultural Research, 57(4), 411–418.

    Article  Google Scholar 

  • Guthrie, J. A., & Walsh, K. B. (1997). Non-invasive assessment of pineapple and mango fruit quality using near infra-red spectroscopy. Australian Journal of Experimental Agriculture, 37(2), 253–263.

    Article  Google Scholar 

  • Ignat, T., Schmilovitch, Z., Fefoldi, J., Steiner, B., & Alkalai-Tuvia, S. (2012). Non-destructive measurement of ascorbic acid content in bell peppers by VIS-NIR and SWIR spectrometry. Postharvest Biology and Technology, 74, 91–99.

    Article  CAS  Google Scholar 

  • Kader, A. A. (1997). Fruit maturity, ripening, and quality relationships. Acta Horticulturae, 485, 203–208. https://doi.org/10.17660/ActaHortic.1999.485.27

    Article  Google Scholar 

  • Kader, A. A. (2008). Flavor quality of fruits and vegetables. Journal of the Science of Food and Agriculture, 88(11), 1863–1868.

    Article  CAS  Google Scholar 

  • Kawano, S. (2016). Past, present and future near infrared spectroscopy applications for fruit and vegetables. NIR News, 27(1), 7–9.

    Article  Google Scholar 

  • Lichtenthaler, H. K., & Buschmann, C. (2001). Chlorophylls and carotenoids: Measurement and characterization by UV-VIS spectroscopy. Current Protocols in Food Analytical Chemistry, 1(1), F4.3.

    Article  Google Scholar 

  • Lin, H., & Ying, Y. (2009). Theory and application of near infrared spectroscopy in assessment of fruit quality: A review. Sensing and Instrumentation for Food Quality and Safety, 3(2), 130–141.

    Article  Google Scholar 

  • Magwaza, L. S., Landahl, S., Cronje, P. J., Nieuwoudt, H. H., Mouazen, A. M., Nicolaï, B. M., Terry, L. A., & Opara, U. L. (2014). The use of Vis/NIRS and chemometric analysis to predict fruit defects and postharvest behaviour of ‘Nules Clementine’mandarin fruit. Food Chemistry, 163, 267–274.

    Article  CAS  PubMed  Google Scholar 

  • Magwaza, L. S., Opara, U. L., Nieuwoudt, H., Cronje, P. J., Saeys, W., & Nicolaï, B. (2012). NIR spectroscopy applications for internal and external quality analysis of citrus fruit—A review. Food and Bioprocess Technology, 5(2), 425–444.

    Article  CAS  Google Scholar 

  • Magwaza, L. S., Opara, U. L., Terry, L. A., Landahl, S., Cronje, P. J., Nieuwoudt, H. H., Hanssens, A., Saeys, W., & Nicolaï, B. M. (2013). Evaluation of Fourier transform-NIR spectroscopy for integrated external and internal quality assessment of Valencia oranges. Journal of Food Composition and Analysis, 31(1), 144–154.

    Article  CAS  Google Scholar 

  • Mahajan, P. V., Caleb, O. J., Gil, M. I., Izumi, H., Colelli, G., Watkins, C. B., & Zude, M. (2017). Quality and safety of fresh horticultural commodities: Recent advances and future perspectives. Food Packaging and Shelf Life, 14, 2–11.

    Article  Google Scholar 

  • Mao, H., Gao, H., Zhang, X., & Kumi, F. (2015). Nondestructive measurement of total nitrogen in lettuce by integrating spectroscopy and computer vision. Scientia Horticulturae, 184, 1–7.

    Article  Google Scholar 

  • McGlone, V. A., Abe, H., & Kawano, S. (1997). Kiwifruit firmness by near infrared light scattering. Journal of Near Infrared Spectroscopy, 5(2), 83–89.

    Article  CAS  Google Scholar 

  • Mditshwa, A., Magwaza, L. S., Tesfay, S. Z., & Mbili, N. (2017). Postharvest quality and composition of organically and conventionally produced fruits: A review. Scientia Horticulturae, 216(1), 148–159.

    Article  Google Scholar 

  • Mehinagic, E., Royer, G., Symoneaux, R., Bertrand, D., & Jourjon, F. (2004). Prediction of the sensory quality of apples by physical measurements. Postharvest Biology and Technology, 34(3), 257–269.

    Article  Google Scholar 

  • Nazarloo, A. S., Sharabiani, V. R., Gilandeh, Y. A., Taghinezhad, E., Szymanek, M., & Sprawka, M. (2021). Feasibility of using VIS/NIR spectroscopy and multivariate analysis for pesticide residue detection in tomatoes. Processes, 9(2), 196.

    Article  Google Scholar 

  • Ncama, K., Magwaza, L. S., Poblete-Echeverría, C. A., Nieuwoudt, H. H., Tesfay, S. Z., & Mditshwa, A. (2018). On-tree indexing of ‘Hass’ avocado fruit by non-destructive assessment of pulp dry matter and oil content. Biosystems Engineering, 174, 41–49.

    Article  Google Scholar 

  • Ncama, K., Opara, U. L., Tesfay, S. Z., Fawole, O. A., & Magwaza, L. S. (2017). Application of Vis/NIR spectroscopy for predicting sweetness and flavour parameters of ‘Valencia’ orange (Citrus sinensis) and ‘star ruby’ grapefruit (Citrus x paradisi Macfad). Journal of Food Engineering, 193, 86–94.

    Article  CAS  Google Scholar 

  • Nicolai, B. M., Beullens, K., Bobelyn, E., Peirs, A., Saeys, W., Theron, K. I., & Lammertyn, J. (2007). Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review. Postharvest Biology and Technology, 46(2), 99–118.

    Article  Google Scholar 

  • Peiris, K. H. S., Dull, G. G., Leffler, R. G., & Kays, S. J. (1999). Spatial variability of soluble solids or dry matter content within individual fruits, bulbs, or tubers: Implications for the development and use of NIR spectrometric techniques. Horticultural Science, 34(1), 114–118.

    Google Scholar 

  • Peirs, A., Tirry, J., Verlinden, B., Darius, P., & Nicolaı̈, B. M. (2003). Effect of biological variability on the robustness of NIR models for soluble solids content of apples. Postharvest Biology and Technology, 28(2), 269–280.

    Article  CAS  Google Scholar 

  • Perez-Marin, D., Torres, I., Entrenas, J. A., Vega, M., & Sánchez, M. T. (2019). Pre-harvest screening on-vine of spinach quality and safety using NIRS technology. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 207, 242–250.

    Article  CAS  Google Scholar 

  • Polessello, A., & Giangiacomo, R. (1981). Application of near infrared spectrophotometry to the nondestructive analysis of foods: A review of experimental results. Critical Reviews in Food Science and Nutrition, 18(3), 203–230.

    Article  Google Scholar 

  • Rahi, S., Mobli, H., Jamshidi, B., Azizi, A., & Sharifi, M. (2019). Visible/near-infrared spectroscopy as a novel technology for nondestructive detection of Escherichia coli ATCC 8739 in lettuce samples. In Proceedings of the world conference on engineering and technology, 24–26 October 2019, Frankfurt, Germany (pp. 24–26).

    Google Scholar 

  • Rinnan, A., Van den Berg, F., & Engelsen, S. B. (2009). Review of the most common pre-processing techniques for near-infrared spectra. Trends in Analytical Chemistry, 28(10), 1201–1222.

    Article  CAS  Google Scholar 

  • Roggo, Y., Chalus, P., Maurer, L., Lema-Martinez, C., Edmond, A., & Jent, N. (2007). A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies. Journal of Pharmaceutical and Biomedical Analysis, 44(3), 683–700.

    Article  CAS  PubMed  Google Scholar 

  • Stevens, A., & Ramirez-Lopez, L. (2014). An introduction to the prospectr package. R Package Vignette, Report No.: R Package Version 0.1, 3.

    Google Scholar 

  • Su, W. H., He, H. J., & Sun, D. W. (2017). Non-destructive and rapid evaluation of staple foods quality by using spectroscopic techniques: A review. Critical Reviews in Food Science and Nutrition, 57(5), 1039–1051.

    Article  CAS  PubMed  Google Scholar 

  • Walsh, K. B., Blasco, J., Zude-Sasse, M., & Sun, X. (2020). Visible-NIR ‘point’ spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use. Postharvest Biology and Technology, 168, 111246.

    Article  CAS  Google Scholar 

  • Wang, H., Peng, J., Xie, C., Bao, Y., & He, Y. (2015). Fruit quality evaluation using spectroscopy technology: A review. Sensors, 15(5), 11889–11927.

    Article  PubMed  PubMed Central  Google Scholar 

  • Wang, J., Shi, X., Xu, Y., & Dong, C. (2021). Nitrogen management based on visible/near infrared spectroscopy in pear orchards. Remote Sensing, 13(5), 927.

    Article  Google Scholar 

  • Wedding, B. B., White, R. D., Grauf, S., Wright, C., Tilse, B., Hofman, P., & Gadek, P. A. (2011). Non-destructive prediction of ‘Hass’ avocado dry matter via FT-NIR spectroscopy. Journal of the Science of Food and Agriculture, 91(2), 233–238.

    Article  CAS  PubMed  Google Scholar 

  • Wedding, B. B., Wright, C., Grauf, S., White, R. D., Tilse, B., & Gadek, P. (2013). Effects of seasonal variability on FT-NIR prediction of dry matter content for whole Hass avocado fruit. Postharvest Biology and Technology, 75(1), 9–16.

    Article  CAS  Google Scholar 

  • Williams, P., & Norris, K. (1987). Near-infrared technology in the agricultural and food industries. American Association of Cereal Chemists, Inc. https://www.cabdirect.org/cabdirect/abstract/19892442443.

    Google Scholar 

  • Wu, D., Feng, L., He, Y., & Bao, Y. (2008). Variety identification of Chinese cabbage seeds using visible and near-infrared spectroscopy. Transactions of the ASABE, 51(6), 2193–2199.

    Article  Google Scholar 

  • Ye, X., Oshita, S., Jin, X., Makino, Y., & Kawagoe, Y. (2008). Potential of Vis/NIR spectroscopy in estimating ATP content per protoplast as an indicator of freshness of spinach. IFAC Proceedings Volumes, 41(2), 636–640.

    Article  Google Scholar 

  • Yibin, F. X. Y. (2013). Application of NIR and Raman spectroscopy for quality and safety inspection of fruits and vegetables: A review [J]. Transactions of the Chinese Society of Agricultural Machinery, 8, 027.

    Google Scholar 

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Correspondence to Lembe Samukelo Magwaza .

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Ncama, K., Magwaza, L.S. (2022). Application of Spectroscopy for Assessing Quality and Safety of Fresh Horticultural Produce. In: Pathare, P.B., Rahman, M.S. (eds) Nondestructive Quality Assessment Techniques for Fresh Fruits and Vegetables . Springer, Singapore. https://doi.org/10.1007/978-981-19-5422-1_5

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