Food Analytical Methods

, Volume 11, Issue 5, pp 1291–1302 | Cite as

Application of Near-Infrared Spectroscopy for the Detection of Metanil Yellow in Turmeric Powder

  • Saumita Kar
  • Bipan Tudu
  • Anil K. Bag
  • Rajib Bandyopadhyay


Turmeric (Curcumina Longa) is a globally traded commodity which is subjected to economically motivated chemically unsafe adulteration, namely metanil yellow. In this work, we report a simplistic and convenient approach to find the adulteration of turmeric with metanil yellow by near-infrared (NIR) spectroscopy coupled with chemometrics. Pure turmeric sample was prepared in the laboratory and spiked with different concentrations of metanil yellow. The reflectance spectra of 248 pure turmeric, metanil yellow, and adulterated samples (1–25%) (w/w) were collected using NIR spectroscopy. The calibration models based on NIR spectra of 144 samples were built for two different regression models, principal component analysis (PCR), and partial least square (PLSR) methods. Another 72 samples were used for external validation. The coefficient of determination (R 2) and root mean square error of calibration for validation and prediction were found to be 0.96–0.99, 0.44–0.91, respectively, for most of the results depending upon different pre-processing techniques and mathematical models used. The original reflectance spectra, the 1st derivative plot, the plot of PLSR regression coefficient (β), and the first three principal component loadings revealed metanil-related absorption regions. To verify the robustness of the models, the figures of merit (FOM) of the models were calculated with the help of net analyte signal (NAS) theory. Overall, it was found that PLSR yielded superior results as compared to the PCR technique. These methods can be applied to other spices also to detect the adulteration rapidly and without any prior sample preparations and with low cost.


NIR spectroscopy Turmeric powder Metanil yellow powder Regression analysis Figures of merit Net analyte signal 



This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Compliance with Ethical Standards

Conflict of Interest

Saumita Kar declares that she has no conflict of interest. Bipan Tudu declares that he has no conflict of interest. Anil K. Bag declares that he has no conflict of interest. Rajib Bandyopadhyay 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.


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© Springer Science+Business Media, LLC, part of Springer Nature 2017

Authors and Affiliations

  1. 1.Department of Instrumentation and Electronics EngineeringJadavpur UniversityKolkataIndia
  2. 2.Department of Applied Electronics and Instrumentation EngineeringHeritage Institute of TechnologyKolkataIndia
  3. 3.Laboratory of Artificial Sensory SystemsITMO UniversitySaint PetersburgRussia

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