Qualitative analysis of Sudan IV in edible palm oil
Palm oil is one of the most useful vegetable available. Sudan IV dye is used as hue enhancer in palm oil despite the ban as food colorant due to its carcinogenicity and mutagenicity by the International Agency for Research on Cancer (IARC).
Surface enhanced Raman spectroscopy (SERS) coupled with chemometric methods was applied to detect the presence of Sudan IV in some edible palm oil samples.
We studied the samples within the 1200–1800 cm− 1 Raman frequency range. In predicting adulteration, we used 1388 cm− 1 Raman peak that is associated with Sudan IV as our marker. We were able to confirm adulteration in four of the five palm oil samples provided by the Food and Drug Authority of Ghana.
With these methods, we confirmed the results from Food and Drug Authorities of Ghana by proving that there were indeed Sudan IV adulteration in some palm oil samples.
KeywordsSudan IV Palm oil Adulteration SERS And authentication
International Agency for Research on Cancer
principal component analysis
Surface-enhanced Raman spectroscopy
Palm oil is a bright reddish/orange oil produced from the mesocarp of the fruits of the oil palm trees. They are very nutritious and has many uses around the world. In some communities, they are used for treating some ailment such as vitamin A deficiency . Palm oil is currently the most used oil in the food industry, as it is present in almost all ready-to-eat foods . This market is encouraged by the palm oil’s low cost, and its convenient usage, i.e., its ability to easily decolorize and semi solid nature at temperatures lower than 25 °C. Palm oil from West African countries such as Nigeria and Ghana is considered as one of the best available due to the higher levels of β-carotene in them. Edible palm oil is a great source of foreign exchange for Ghana by serving as a major non-traditional export. In recent times, due to the rise in utilization of palm oil especially in ready-to-eat meals, it has become a preferential target for counterfeiting and adulteration. The use of Sudan IV as an adulterant to improve the hue of palm oil is unfortunately on the rise. In one point in time, Sudan IV adulteration was considered the second most Sudan dye adulterant for food .
Sudan IV dye is a fat-soluble azo-dye used as an industrial colorant for tiles, polishes, and other industrial products . Because of the demonstrated significant carcinogenic and mutagenic properties of these dyes, the International Agency for Research on Cancer (IARC) has banned them as food additives in all forms and quantity as they are no known tolerable daily intakes [5, 6, 7, 8]. Because of their low cost, bright colors, wide availability, and easy accessibility , some dishonest people employ such Sudan IV dye as palm oil hue enhancer. As in all complex liquids, it is difficult to detect Sudan IV adulteration in palm oil. However, palm oil adulteration becomes a public health, consumer confidence [2, 8] and a global issue, yielding more attention in developing methods for authenticating palm oil and detecting such Sudan IV adulterations.
Different methods already exist to authenticate and detect adulteration in edible palm oil. Prominent in these methods are high-performance liquid chromatography (HPLC), liquid chromatography-mass spectrometry (LC-MS)/mass spectrometry (MS), mid-infrared spectroscopy (MIR), and Fourier transform infrared spectroscopy (FTIR) [2, 9, 10, 11]. These methods produce highly accurate, most efficient and repeatable results. They however possess serious setbacks, which include requiring a high level of expertise in operation, time consumption, and other factors such as an extensive sample preparation . Other vibrational spectroscopic methods such as surface enhanced Raman spectroscopy (SERS), which has a potential to overcome such drawbacks, may be employed. SERS is a rapid and sensitive vibrational spectroscopic technique based on Raman scattering .
In this work, we report on the use of surface enhanced Raman spectroscopy in authenticating and detecting adulteration in edible palm oil from Ghana. We applied principal component analysis (PCA), a statistical analysis tool, on the SERS spectra to produce data that complements the results obtained in SERS. PCA is a well-known technique of data representation used for analyzing complex and heavy datasets  based on multivariate analysis. PCA separates data in orthogonal variables that makes it easier to analyze . By mapping in a two-dimensional plan, principal component analysis allows a deeper, although qualitative, discrimination between authentic and adulterated palm oil samples.
Results and discussion
Surface-enhanced Raman spectroscopy
As expected, we observed bands and peaks in the SERS spectra of Sudan IV including 1232, 1258, 1386, and 1598 cm− 1, see Fig. 1a. These are assigned to the γ(C=CH3) stretching, δ(C-H) deformation, CH3 band, amine I protein of the Sudan IV molecule, respectively. There are also a C-H bending at 1485 cm− 1 and amine II stretching at 1552 cm− 1. In this work, we used the CH3 band at 1386 cm− 1 in our analysis for adulteration of the palm oil samples. One can remark, from Fig. 1b, that the amplitude of the peak (at 1386 cm− 1) increases with the concentration of the adulterant. Note a slight shift in the 1386 cm− 1 peak to 1388 cm− 1 in all the oil samples. This could be attributed to the influence of other components in the palm oil samples. However, a characteristic Raman scattering wavenumber is common to all the oil samples. This is the strong resonance around 1522 cm− 1 (Fig. 1b) which is assigned as the v1(C=C) vibrations, of the β-carotene molecule , which is abundant in palm oil. Other bands and peaks such as the 1303 and 1449 cm− 1, observed in the spectra of the oil samples, originate exclusively from the main constituents of the palm oil. These scissoring, deformation, vibrations, and stretching of the palmitic (C16), oleic (C18:1) and linoleic acid (C18:2) produce these bands and peaks in the measured spectra. Considering only the 1386 cm− 1 peak, it can be observed from Fig. 1c that there is a slight weak peak in all the FDA samples. This confirms our prior knowledge of adulteration indicated by the FDA-Ghana.
Principal components analysis
As an example (see Fig. 2), the FDA samples yield points with a nearly same abscise than the control point. It means nearly no chemical activity. More the distance from the origin is short, more the sample is possibly adulterated at the condition that the point is in another quadrant than the control point.
From Fig. 2, one can clearly see the very well separated control solution labelled as unaltered by the Food and Drug Authority of Ghana. The three solutions prepared in laboratory with a known concentration are used to determine a referential establishing the different zones of adulteration or not. The three of them are in other quadrants than the control point, which means they are corresponding to adulterated samples, as expected. Sudan IV is taken as a referential point also and is centered at the origin of the graph. FDA samples 2, 3, and 4 are also in another quadrant than the control point. They can be considered as adulterated. The FDA 1 sample has a response in the same quadrant than the control point, which means it is probably a non-adulterated palm oil.
It is to be noted than many factors affect the PCA results. The fabrication technique of palm oil may change the result. In other words, another adulterant other than Sudan IV may be present in the FDA 1 sample. One must finally remark that the results also depend on the spectral range taken into account.
The FDA-Ghana, through the Food Physio-Chemical laboratories unit, provided the test samples used in this study. Ghana accounts for less than 0.1% of global production of palm oil and yet, Ghana is considered one of the worst culprits when considering Sudan IV dye adulteration of palm oil. By measuring and analyzing the SERS spectra of Sudan IV, prepared palm oil and other palm oil samples, we were able to detect traces of Sudan IV dyes in all four of the palm oil samples provided for analysis. This confirms the prior knowledge of adulteration in them. This method also eliminates sample preparation that is consistent with most high performing analytical tools such as HPLC and others. However, PCA results gave additional inputs on one sample that may not be adulterated, which proves the importance of deeper analysis. The results of this study demonstrated the capabilities of SERS combined with PCA to authenticate and detect adulteration of edible palm oil with Sudan IV dye.
Chemical reagents and samples
All reagents used were of analytical grade. Sudan IV, silver nitrate and sodium chloride were purchased from Sigma-Aldrich (St. Louis, Mo., U.S.A. Putity >99.99 %). A 1 μM stock solution of Sudan IV was prepared in acetone and used in spiking the palm oil to make the in-laboratory prepared samples for measurements.
A table showing the prepared palm oil samples with the volume of unadulterated palm oil and Sudan IV dye to obtain the required concentrations required
Sudan IV concentration [μM]
A silver-chloride nanoparticulate substrate (AgCl NPs) was prepared according to ref. . Shortly, AgCl NPs were grown on a circular singly polished side silicon wafer (purchased from Smat) by repeatedly and periodically immersing the wafer in two beakers containing 5 mM precursor solutions of silver nitrate (AgNO3) and sodium chloride (NaCl) with 50 cycles of immersions. The AgCl nanoparticles are produced as intermediary step to prevent the tarnishing of the silver particles. The synthesis was carried out in ambient laboratory conditions. Then metallic Ag NPs are obtained by the photochemical reaction: 2 AgCl(s) + hv ➔ 2 Ag(s) + Cl2(g).
A Renishaw inVia Raman microscope was used for all the SERS measurements. A modification was made to the sample stage by mounting a heating system to heat and keep the palm oil samples in the liquid form throughout the measurement. An excitation wavelength of 514 nm and a laser power of 50 μW were utilized. All data were collected with an integration time of 10 s. The readings between 1200 cm− 1 to 1800 cm− 1 were subsequently analyzed.
Principal components analysis was applied to the SERS spectra to generate a graphical plot of the score. This was used in establishing the authenticity of the palm oil samples from FDA-Ghana against known adulterated samples. The PCA was done using OriginPro 2019 software.
The authors would like to thank Tommi Itkonen for his technical support.
SSA and TN conceived, designed, initiated and conducted the measurements of the research. MR analyzed the data by PCA and supervised the whole work. CM supervised and gave access to the FDA samples. All authors contributed to writing of the final manuscript.
The study was carried out under the project ChemiReader funded by Business Finland (No 2387/31/2017, collection of the samples in Ghana) and the Academy of Finland project (No SA-298298, salary for TN).
Ethics approval and consent to participate
Consent for publication
The authors declare no competing interests.
- 3.RASFF. Rapid alert system for food and feed (RASFF) – RASFF portal, 2019.. [Accessed 26.02.2019]. Available from: https://ec.europa.eu/food/sites/food/files/safety/docs/rasff_annual_report_2004_en.pdf
- 7.Brantom, P.G.: Opinion of the scientific panel on food additives, Flavourings, processing aids and materials in contact with food on a request from the commission to review the toxicology of a number of dyes illegally present in food in the EU. EFSA J. 263, 1–71 (2005)Google Scholar
- 9.Pace, N.: Detection of adulterant seed oils in extra virgin olive oils by LC-MS and principal component analysis. AB Sciex. https://sciex.com/Documents/brochures/olive_oil_analysis3200_1282510.pdf
- 14.Abdi, H., Williams, L.J.: Principal component analysis. Comp. Stats. 2, 433–459 (2010)Google Scholar
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