Spectroscopy as the Detecting Oil Fraud Tool Research Paper

Exclusively available on Available only on IvyPanda® Made by Human No AI

The problem of oil fraud remains a global concern that affects the quality of food products and, thus influences the health rates of people across the globe. Therefore, tools for detecting oil fraud have to be introduced into the industry. At present, two approaches are deemed as the most popular ones; these are spectroscopy and chromatography (Jiang et al. 2016; Ali et al. 2018). Because of the efficacy with which spectroscopy allows determining the status of oil and the analysis of its compounds, the specified tool should be recognized as superior in detecting the cases of oil fraud.

The use of spectroscopy should be considered as an indispensable strategy for preventing oil fraud since the selected method helps to perform a detailed analysis of chemical compounds in the oil. For instance, the vibration spectroscopy approach allows analyzing the interaction between light and matter to locate the presence of extra elements in oil (Holland et al. 2019; Rohman 2016).

Specifically, the ability of the bonds between the atoms to stretch can be assessed to prove the quality of oil (Basri et al. 2017; Da Costa et al. 2016). The vibrations between the molecules provide the quantitative data the measurement of which defines the outcomes of the analysis, making the assessment quite accurate.

Since the application of spectroscopy serves to assess changes in the mass of oil, its constituents, and the overall status of the substance, the described tool has to be regarded as a more effective one than chromatography. By applying the spectroscopy tool, one will be able to determine individual molecular spectra that will allow defining the presence of alien elements and, thus evaluating the quality of oil (Trapani et al. 2016). The application of spectroscopy simplifies the process of detecting oil fraud and increases the chances of maintaining consumers’ health rates high.

Reference List

Ali, H, Saleem, M, Anser, M, Khan, S, Ullah, R & Bilal, M 2018, ‘Validation of fluorescence spectroscopy to detect adulteration of edible oil in extra virgin olive oil (EVOO) by applying chemometrics’, Applied Spectroscopy, vol. 72, no. 9, pp. 1371-1379.

Basri, K, Hussain, M, Bakar, J, Sharif, Z, Khir, M & Zoolfakar, A 2017, ‘Classification and quantification of palm oil adulteration via portable NIR spectroscopy’, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, vol. 173, no. 1, pp. 335-342.

Da Costa, G, Fernandes, D, Gomes, A, de Almeida, V & Veras, G 2016, ‘Using near infrared spectroscopy to classify soybean oil according to expiration date’, Food Chemistry, vol. 196, no. 1, pp. 539-543.

Holland, T, Abdul-Munaim, A, Watson, D & Sivakumar, P 2019, ‘Influence of sample mixing techniques on engine oil contamination analysis by infrared spectroscopy’, Lubricants, vol. 7, no. 1, p. 4.

Jiang, X, Li, S, Xiang, G, Li, Q, Fan, L, He, L & Gu, K 2016, ‘Determination of the acid values of edible oils via FTIR spectroscopy based on the OH stretching band’, Food Chemistry, vol. 212, no. 1, pp. 585-589.

Rohman, A 2016, ‘Infrared spectroscopy for quantitative analysis and oil parameters of olive oil and virgin coconut oil: a review’, International Journal of Food Properties, vol. 20, no. 7, pp. 1447-1456.

Trapani, S, Migliorini, M, Cecchi, L, Giovenzana, V, Beghi, R, Canuti, V, Fia, G & Zanoni, B 2016, ‘Feasibility of filter-based NIR spectroscopy for the routine measurement of olive oil fruit ripening indices’, European Journal of Lipid Science and Technology, vol. 119, no. 6, pp. 1-4.

More related papers Related Essay Examples
Cite This paper
You're welcome to use this sample in your assignment. Be sure to cite it correctly

Reference

IvyPanda. (2021, May 11). Spectroscopy as the Detecting Oil Fraud Tool. https://ivypanda.com/essays/spectroscopy-as-the-detecting-oil-fraud-tool/

Work Cited

"Spectroscopy as the Detecting Oil Fraud Tool." IvyPanda, 11 May 2021, ivypanda.com/essays/spectroscopy-as-the-detecting-oil-fraud-tool/.

References

IvyPanda. (2021) 'Spectroscopy as the Detecting Oil Fraud Tool'. 11 May.

References

IvyPanda. 2021. "Spectroscopy as the Detecting Oil Fraud Tool." May 11, 2021. https://ivypanda.com/essays/spectroscopy-as-the-detecting-oil-fraud-tool/.

1. IvyPanda. "Spectroscopy as the Detecting Oil Fraud Tool." May 11, 2021. https://ivypanda.com/essays/spectroscopy-as-the-detecting-oil-fraud-tool/.


Bibliography


IvyPanda. "Spectroscopy as the Detecting Oil Fraud Tool." May 11, 2021. https://ivypanda.com/essays/spectroscopy-as-the-detecting-oil-fraud-tool/.

If, for any reason, you believe that this content should not be published on our website, please request its removal.
Updated:
This academic paper example has been carefully picked, checked and refined by our editorial team.
No AI was involved: only quilified experts contributed.
You are free to use it for the following purposes:
  • To find inspiration for your paper and overcome writer’s block
  • As a source of information (ensure proper referencing)
  • As a template for you assignment
Privacy Settings

IvyPanda uses cookies and similar technologies to enhance your experience, enabling functionalities such as:

  • Basic site functions
  • Ensuring secure, safe transactions
  • Secure account login
  • Remembering account, browser, and regional preferences
  • Remembering privacy and security settings
  • Analyzing site traffic and usage
  • Personalized search, content, and recommendations
  • Displaying relevant, targeted ads on and off IvyPanda

Please refer to IvyPanda's Cookies Policy and Privacy Policy for detailed information.

Required Cookies & Technologies
Always active

Certain technologies we use are essential for critical functions such as security and site integrity, account authentication, security and privacy preferences, internal site usage and maintenance data, and ensuring the site operates correctly for browsing and transactions.

Site Customization

Cookies and similar technologies are used to enhance your experience by:

  • Remembering general and regional preferences
  • Personalizing content, search, recommendations, and offers

Some functions, such as personalized recommendations, account preferences, or localization, may not work correctly without these technologies. For more details, please refer to IvyPanda's Cookies Policy.

Personalized Advertising

To enable personalized advertising (such as interest-based ads), we may share your data with our marketing and advertising partners using cookies and other technologies. These partners may have their own information collected about you. Turning off the personalized advertising setting won't stop you from seeing IvyPanda ads, but it may make the ads you see less relevant or more repetitive.

Personalized advertising may be considered a "sale" or "sharing" of the information under California and other state privacy laws, and you may have the right to opt out. Turning off personalized advertising allows you to exercise your right to opt out. Learn more in IvyPanda's Cookies Policy and Privacy Policy.

1 / 1