Skip to main content
SpringerLink
Log in

Reflectance Spectrometry as a Screening Tool for Prediction of Lutein Content in Diverse Wheat Species (Triticum spp.)

  • Published:
Food Analytical Methods Aims and scope Submit manuscript

Abstract

Direct analytical methods assessing lutein content (e.g., high-performance liquid chromatography [HPLC]) are expensive and time-consuming. Their utilization in broad mapping of genetic resources or selecting among hundreds of breeding lines is limited. Therefore, the development of reliable predictive models based on reflectance spectrometry for assessing lutein content would be very useful. This study aims at finding a rapid and accurate lutein quantification method for wheat breeding purposes. Reference samples were represented by hexaploid, tetraploid, and diploid wheat species (119 accessions) cultivated in 2 years. The species Triticum aestivum L. predominated, with 81 accessions. Two near-infrared (NIR) spectroscopy devices were used to collect visible (VIS) and/or NIR spectra: the model FOSS 6500 with dispersive element and wavelength range 400–2500 nm and the Nicolet Antaris II Fourier transform spectrophotometer with wavelength range 1000–2500 nm. HPLC was used as the reference method for assessing lutein content in wheat grain. Sample grinding and proper NIR and VIS spectral combinations were essential for obtaining sufficient predictive parameters in calibration models. The FOSS 6500 calibration models were the most promising (standard error of prediction 0.46–0.78; ratio of performance to deviation 2.36–2.83 mg/kg). NIR spectral instability of ground samples during 12 days in storage was detected and evoked a significant relative increase in lutein content of about 35% using the FOSS 6500 calibration model. After excluding five time-instable spectral regions, prediction differences of lutein content were markedly eliminated and did not exceed 7% in relative terms during 12 days of storage.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Ahmad FT, Asenstorfer RE, Soriano IR, Mares DJ (2013) Effect of temperature on lutein esterification and lutein stability in wheat grain. J Cereal Sci 58:408–413

    Article  CAS  Google Scholar 

  • Arts ICW, Hollman PCH (2005) Polyphenols and disease risk in epidemiologic studies. Am J Clin Nutr 81:317–325

    Article  Google Scholar 

  • Baptista MS, Tran CD, Gao G-H (1996) Near-infrared detection of flow injection analysis by acoustooptic tunable filter-based spectrophotometry. Anal Chem 68(6):971–976

    Article  CAS  PubMed  Google Scholar 

  • Beleggia R, Platani C, Nigro F, Papa R (2011) Yellow pigment determination for single kernels of durum wheat (Triticum durum Desf.) Cereal Chem 88(5):504–508

    Article  CAS  Google Scholar 

  • Bonierbale M, Grüneberg W, Amoros W, Burgos G, Salas E, Porras E, Felde T (2009) Total and individual carotenoid profiles in Solanum phureja cultivated potatoes: II. Development and application of near-infrared reflectance spectroscopy (NIRS) calibrations for germplasm characterization. J Food Compos Anal 22:509–516

    Article  CAS  Google Scholar 

  • Cantor SL, Hoag SW, Ellison CD, Khan MA, Lyon RC (2011) NIR spectroscopy applications in the development of a compacted multiparticulate system for modified release. AAPS PharmSciTech 12(1):262–268

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Chen X, Wu J, Zhou S, Yang Y, Ni X, Yang J, Zhu Z, Shi C (2009) Application of near-infrared reflectance spectroscopy to evaluate the lutein and b-carotene in Chinese kale. J Food Compos Anal 22:148–153

    Article  CAS  Google Scholar 

  • Duckworth J (2004) Mathematical data processing. In: (ed.) L. Al-Amoodi, Near infrared spectroscopy in agriculture, agronomy monograph 44, Medison Wisconsin, USA, pp 125–127

  • Geleta N, Grausgruber H, Vollmann J (2014) Near-infrared spectroscopy of yellow endosperm pigments in wheat. Int J Agr Forest 4(6):446–450

    Google Scholar 

  • Gonzalez AG, Herrador MA (2007) A practical guide to analytical method validation, including measurement uncertainty and accuracy profiles. Trends Anal Chem 26(3):227–238

    Article  CAS  Google Scholar 

  • Granado F, Olmedilla B, Blanco I (2003) Nutritional and clinical relevance of lutein in human health. Br J Nutr 90(3):487–502

    Article  CAS  PubMed  Google Scholar 

  • Hansen L, Rose M (1996) Sensory acceptability is inversely related to development of fat rancidity in bread made from stored flour. J Am Diet Assoc 96:792–793

    Article  CAS  PubMed  Google Scholar 

  • Hidalgo A, Brandolini A, Pompei C, Piscozzi R (2006) Carotenoids and tocols of einkorn wheat (Triticum monococcum ssp. monococcum L.) J Cereal Sci 44:182–193

    Article  CAS  Google Scholar 

  • Hidalgo A, Brandolini A (2008) Kinetics of carotenoids degradationduring the storage of einkorn (Triticum monococum L. spp. monococcum) and bread wheat (Triticum aestivum L. spp. aestivum) flours. J Agric Food Chem 56(23):11300–11305

    Article  CAS  PubMed  Google Scholar 

  • Jirsa O, Hrušková M, Švec I (2008) Near-infrared prediction of milling and baking parameters of wheat varieties. J Food Eng 87:21–25

    Article  CAS  Google Scholar 

  • Landrum JT, Bone RA (2004) Dietary lutein and zeaxanthin: reducing the risk for macular degeneration. Agro Food Industry Hi-Tech 15:22–25

    CAS  Google Scholar 

  • Leenhardt F, Lyan B, Rock E, Boussard A, Potus J, Chanliaud E, Remesy C (2006) Genetic variability of carotenoid concentration, and lipoxygenase and peroxidase activities among cultivated wheat species and bread wheat varieties. Europ J Agronomy 25:170–176

    Article  CAS  Google Scholar 

  • Mellado-Ortega E, Atienza SG, Hornero-Méndez D (2015) Carotenoid evolution during postharvest storage of durum wheat (Triticum turgidum conv. durum) and tritordeum (Tritordeum Ascherson et Graebner) grains. J Cereal Sci 62:134–142

    Article  CAS  Google Scholar 

  • Mellado-Ortega E, Hornero-Méndez D (2015) Carotenoids in cereals: an ancient resource with present and future applications. Phytochem Rev 14:873–890

    Article  CAS  Google Scholar 

  • Meydani M (2002) Antioxidants in the prevention of chronic diseases. Nutr Clin Care 5:47–49

    Article  PubMed  Google Scholar 

  • Miedaner T, Han S, Kessel B, Ouzunova M, Schrag T, Utz FH, Melchinger AE (2015) Prediction of deoxynivalenol and zearalenone concentrations in Fusarium graminearum inoculated backcross populations of maize by symptom rating and near-infrared spectroscopy. Plant Breed 134:529–534

    Article  CAS  Google Scholar 

  • Moncada GW, Martín MIG, Escuredo O, Fischer S, Míguez M (2013) Multivariate calibration by near infrared spectroscopy for the determination of the vitamin E and the antioxidant properties of quinoa. Talanta 116:65–70

    Article  CAS  PubMed  Google Scholar 

  • Moore J, Hao Z, Zhou K, Luther M, Costa J, Yu L (2005) Carotenoid, tocopherol, phenolic acid, and antioxidant properties of Maryland-grown soft wheat. J Agric Food Chem 53:6649–6657

    Article  CAS  PubMed  Google Scholar 

  • Pasquini C (2003) Near infrared spectroscopy: fundamentals, practical aspects and analytical applications. J Braz Chem Soc 14(2):198–219

    Article  CAS  Google Scholar 

  • Sujka K, Koczoń P, Ceglińska A, Reder M, Ciemniewska-Zytkiewicz H (2017) The application of FT-IR spectroscopy for quality control of flours obtained from polish producers. J Anal Met Chem: online 2017:1–9. https://doi.org/10.1155/2017/4315678

    Article  CAS  Google Scholar 

  • Tsuchikawa S, Kobori H (2015) A review of recent application of near infrared spectroscopy to wood science and technology. J Wood Sci 61:213–220

    Article  CAS  Google Scholar 

  • Wetzel DL, Sweat JA (1997) FT-NIR comparative quantitative performance for complex samples. In: Progress in Fourier transform spectroscopy. Springer, Vienna, pp 325–327

  • Weyer L, Lo S-C (2002) Spectra-structure correlations in the near-infrared. In: Griffiths P, Chalmers JM (eds) Handbook of vibrational spectroscopy, vol 4. Wiley, U.K., pp 1817–1837

    Google Scholar 

  • Ziegler JU, Schweiggert RM, Würschum T, Longin CFH, Carle R (2016) Lipophilic antioxidants in wheat (Triticum spp.): a target for breeding new varieties for future functional cereal products. J Funct Foods 20:594–605

    Article  CAS  Google Scholar 

Download references

Funding

This work was funded by the Ministry of Agriculture of the Czech Republic under Project Nos. MZE RO 0417 and QJ1510163.

Author information

Authors and Affiliations

  1. Crop Research Institute, Drnovská 507, 161 06, Prague 6, Czech Republic

    Václav Dvořáček, Lenka Štěrbová, Eva Matějová, Jana Bradová & Jiří Hermuth

Authors
  1. Václav Dvořáček
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Lenka Štěrbová
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Eva Matějová
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jana Bradová
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jiří Hermuth
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lenka Štěrbová.

Ethics declarations

Conflict of Interest

Václav Dvořáček declares that he has no conflict of interest. Lenka Štěrbová declares that she has no conflict of interest. Eva Matějová declares that she has no conflict of interest. Jana Bradová declares that she has no conflict of interest. Jiří Hermuth declares that he has no conflict of interest.

Ethical Approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Informed Consent

Not applicable.

Electronic Supplementary Material

ESM 1

(XLSX 17 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dvořáček, V., Štěrbová, L., Matějová, E. et al. Reflectance Spectrometry as a Screening Tool for Prediction of Lutein Content in Diverse Wheat Species (Triticum spp.). Food Anal. Methods 11, 2579–2589 (2018). https://doi.org/10.1007/s12161-018-1215-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12161-018-1215-0

Keywords

Search

Navigation