821
Views
19
CrossRef citations to date
0
Altmetric
Articles

Rapid and nondestructive fraud detection of palm oil adulteration with Sudan dyes using portable NIR spectroscopic techniques

ORCID Icon, , &
Pages 1589-1596 | Received 06 Jul 2019, Accepted 13 Aug 2019, Published online: 19 Sep 2019

References

  • Amoako-Mensah J 2017. Assessment of the prevalence of palm oil adulteration with Sudan IV dye in the greater Accra region. [Master dissertation]. KNUST press, Kumasi, Ghana.
  • Amuah CLY, Teye E, Lamptey FP, Nyandey K, Opoku-Ansah J, Adueming PO-W. 2019. Feasibility study of the use of handheld NIR spectrometer for simultaneous authentication and quantification of quality parameters in intact pineapple fruits. J Spectrosc. 2019:1–9. Article ID 5975461. doi:10.1155/2019/5975461
  • Basri KN, Hussain MN, Bakar J, Sharif Z, Khir MFA, Zoolfakar AS. 2017. Classification and quantification of palm oil adulteration via portable NIR spectroscopy. Spectrochim Acta A Mol Biomol Spectrosc. 173:335–342.
  • CheN Q, Zhao J, Liu M, Cai J. 2008. Nondestructive identification of tea (Camellia sinensis L.) varieties using FT-NIR spectroscopy and pattern recognition. Czech J Food Sci. 26:360–367.
  • Cozzolino D, Chree A, Scaife J, Murray I. 2005. Usefulness of near-infrared reflectance (NIR) spectroscopy and chemometrics to discriminate fishmeal batches made with different fish species. J Agric Food Chem. 53:4459–4463.
  • Di Anibal C, Rodriguez MS, Albertengo L. 2014. visible spectroscopy and multivariate classification as a screening tool to identify adulteration of culinary spices with Sudan I and blends of Sudan I+ IV dyes. Food Anal Methods. 7:1090–1096.
  • Di Anibal CV, Marsal LF, Callao MP, Ruisánchez I. 2012. Surface enhanced Raman spectroscopy (SERS) and multivariate analysis as a screening tool for detecting Sudan I dye in culinary spices. Spectrochim Acta A Mol Biomol Spectrosc. 87:135–141.
  • Genualdi S, MacMahon S, Robbins K, Farris S, Shyong N, DeJager L. 2016. Method development and survey of Sudan I–IV in palm oil and chilli spices in the Washington, DC, area. Food Addit Contam Part A. 33:583–591.
  • Haughey SA, Galvin-King P, Ho Y-C, Bell SE, Elliott CT. 2015. The feasibility of using near infrared and Raman spectroscopic techniques to detect fraudulent adulteration of chili powders with Sudan dye. Food Control. 48:75–83.
  • Huang M, Kim MS, Delwiche SR, Chao K, Qin J, Mo C, Esquerre C, Zhu Q. 2016. Quantitative analysis of melamine in milk powders using near-infrared hyperspectral imaging and band ratio. J Food Eng. 181:10–19.
  • Islam MF, Uddin MN, Rana AA, Mainul M. 2018. Development of a chemometric method for the analysis of Sudan III-IV dyes adulteration in chili powder using UV-visible spectroscopy data. J Sci Innov Res. 7:30–35.
  • Li B, Wang H, Zhao Q, Ouyang J, Wu Y. 2015. Rapid detection of authenticity and adulteration of walnut oil by FTIR and fluorescence spectroscopy: A comparative study. Food Chem. 181:25–30.
  • Lin H, Chen Q, Zhao J, Zhou P. 2009. Determination of free amino acid content in radix pseudostellariae using near infrared (NIR) spectroscopy and different multivariate calibrations. J Pharm Biomed Anal. 50:803–808.
  • Ofosu-Budu K, Sarpong D. 2013. Oil palm industry growth in Africa: A value chain and smallholders’ study for Ghana. Accra, Ghana: Rebuilding West Africa’s Food Potential FAO/IFAD.
  • Okogeri O. 2013. Adulteration of crude palm oil with red dye from the leaf sheath of sorghum bicolor. Food Sci Qual Manage. 17:1–6.
  • Rebane R, Leito I, Yurchenko S, Herodes K. 2010. A review of analytical techniques for determination of Sudan I–IV dyes in food matrixes. J Chromatogr A. 1217:2747–2757.
  • Santos PM, Pereira-Filho ER, Rodriguez-Saona LE. 2013. Application of hand-held and portable infrared spectrometers in bovine milk analysis. J Agric Food Chem. 61:1205–1211.
  • Sciuto S, Esposito G, Dell’Atti L, Guglielmetti C, Acutis PL, Martucci F. 2017. Rapid screening technique to identify sudan dyes (I to IV) in adulterated tomato sauce, chilli powder, and palm oil by innovative high-resolution mass spectrometry. J Food Prot. 80:640–644.
  • Teye E, Amuah CL, McGrath T, Elliott C. 2019. Innovative and rapid analysis for rice authenticity using hand-held NIR spectrometry and chemometrics. Spectrochim Acta A Mol Biomol Spectrosc. 217:147–154.
  • Teye E, Huang X. 2015. Novel prediction of total fat content in cocoa beans by FT-NIR spectroscopy based on effective spectral selection multivariate regression. Food Anal Methods. 8:945–953.
  • Teye E, Huang X-Y, Lei W, Dai H. 2014. Feasibility study on the use of Fourier transform near-infrared spectroscopy together with chemometrics to discriminate and quantify adulteration in cocoa beans. Food Res Int. 55:288–293.
  • Yu H, Lin H, Xu H, Ying Y, Li B, Pan X. 2008. Prediction of enological parameters and discrimination of rice wine age using least-squares support vector machines and near infrared spectroscopy. J Agric Food Chem. 56:307–313.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.