Advertisement

Impedimetric Approach for Estimating the Presence of Metanil Yellow in Turmeric Powder from Tunable Capacitance Measurement

  • Chirantan Das
  • Subhadip Chakraborty
  • Nirmal Kumar Bera
  • Krishnendu Acharya
  • Dipankar Chattopadhyay
  • Anupam Karmakar
  • Sanatan ChattopadhyayEmail author
Article
  • 14 Downloads

Abstract

This article investigates the possibility of using electrical impedance spectroscopy (EIS) technique for detection and quantification of metanil yellow (MY) in turmeric powder. The observation is supported by ultraviolet–visible (UV–Vis) absorption spectroscopy and Fourier transform mid infrared (FT-MIR) spectroscopy. Variation of electrical parameters like capacitance, impedance, conductance, and current–voltage (I–V) characteristics for pure as well as adulterated turmeric are analyzed. System capacitance, conductance, and current are observed to increase, whereas the impedance values have been found to decrease with increase in MY content. Also, UV–Vis and FT-MIR spectroscopic measurements suggest the increase of absorbance with gradual increment of MY in the solution. Electrical and optical results have been physically corroborated with respect to the system internal energy. This study sought to provide a deterministic approach towards developing an EIS-based adulterant sensor for simple, rapid, economical, and precise quantification of controlled percentage weights of MY in pure turmeric powder.

Keywords

Turmeric adulteration detection Metanil yellow Effective dipole moment Electrical impedance spectroscopy UV–Vis spectroscopy 

Notes

Acknowledgements

The authors would like to thank Mr. Amartya Bhattacharya for his help regarding the UV–Vis spectroscopy measurements.

Funding Information

Mr. C. Das likes to acknowledge the Sensor and System Development Group (UGC/338/JRF UPE-II) sponsored by UGC-UPE-II for providing the funding to pursue his research. Mr. S. Chakraborty likes to acknowledge the Department of Science and Technology (DST), Government of India for providing the INSPIRE Fellowship (IF150216) to support his research work. Lastly, the authors like to acknowledge the funding support from DST PURSE (I/005/7502), Government of India for developing the Electrical Characterization Laboratory.

Compliance with Ethical Standards

Conflict of Interest

Chirantan Das declares that he has no conflict of interest. Subhadip Chakraborty declares that he has no conflict of interest. Nirmal Kumar Bera declares that he has no conflict of interest. Krishnendu Acharya declares that he has no conflict of interest. Dipankar Chattopadhyay declares that he has no conflict of interest. Anupam Karmakar declares that he has no conflict of interest. Sanatan Chattopadhyay 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.

References

  1. Bergmann E, Weizmann A (1936) Dipole moment and molecular structure. Part XVII. The dipole moments of azo-dyes and some similar substances. Trans Faraday Soc 32:1318–1326.  https://doi.org/10.1039/TF9363201318 Google Scholar
  2. Chakraborty S, Das C, Saha R, Das A, Bera NK, Chattopadhyay D, Karmakar A, Chattopadhyay D, Chattopadhyay S (2015) Investigating the quasi-oscillatory behavior of electrical parameters with the concentration of D-glucose in aqueous solution. JEB 6(1):10–17.  https://doi.org/10.5617/jeb.2363 Google Scholar
  3. Chakraborty S, Das C, Karmakar A, Chattopadhyay S (2016) Analyzing the quasi-oscillatory nature of electrical parameters with the concentration of sucrose in aqueous solution at room temperature. AMP 2(4):6–12Google Scholar
  4. Chakraborty S, Das C, Bera NK, Chattopadhyay D, Karmakar A, Chattopadhyay S (2017) Analytical modelling of electrical impedance based adulterant sensor for aqueous sucrose solutions. J Electroanal Chem 784:133–139.  https://doi.org/10.1016/j.jelechem.2016.11.055 Google Scholar
  5. Chakraborty S, Das C, Saha R, Karmakar A, Chattopadhyay S, Das S, Mishra R, Mishra R (2018) Bio-dielectric variation as a signature of shape alteration and lysis of human erythrocytes: an on-chip analysis. ISDCS IEEE:1–4.  https://doi.org/10.1109/ISDCS.2018.8379645
  6. Cronin JR (2003) Curcumin: old spice is a new medicine. Altern Complement Ther 9:34–38.  https://doi.org/10.1089/10762800360520776 Google Scholar
  7. Das C, Chakraborty S, Acharya K, Bera NK, Chattopadhyay D, Karmakar A, Chattopadhyay S (2017) FT-MIR supported electrical impedance spectroscopy based study of sugar adulterated honeys from different floral origin. Talanta 171:327–334.  https://doi.org/10.1016/j.talanta.2017.05.016 Google Scholar
  8. Das C, Chakraborty S, Karmakar A, Chattopadhyay S (2018) On-chip detection and quantification of soap as an adulterant in milk employing electrical impedance spectroscopy. ISDCS IEEE:1–4.  https://doi.org/10.1109/ISDCS.2018.8379634
  9. Dhakal S, Chao K, Schmidt W, Qin J, Kim M, Chan D (2016) Evaluation of turmeric powder adulterated with metanil yellow using FT-Raman and FT-IR spectroscopy. Foods 5(2):36.  https://doi.org/10.3390/foods5020036 Google Scholar
  10. Dhanya K, Syamkumar S, Siju S, Sasikumar B (2011) Sequence characterized amplified region markers: a reliable tool for adulterant detection in turmeric powder. Food Res Int 44(9):2889–2895.  https://doi.org/10.1016/j.foodres.2011.06.040 Google Scholar
  11. Durante G, Becari W, Lima FA, Peres HE (2016) Electrical impedance sensor for real-time detection of bovine milk adulteration. IEEE Sensors J 16(4):861–865.  https://doi.org/10.1109/JSEN.2015.2494624 Google Scholar
  12. Duvoix A, Blasius R, Delhalle S, Schnekenburger M, Morceau F, Henry E, Dicato M, Diederich M (2005) Chemopreventive and therapeutic effects of curcumin. Cancer Lett 223(2):181–190.  https://doi.org/10.1016/j.canlet.2004.09.041 Google Scholar
  13. Eisenschitz R, London F (1930) On the relationship of van der Waals forces to homopolar bonding forces. FZ Physik 60(7):491–527.  https://doi.org/10.1007/BF01341258 Google Scholar
  14. Fernandes C, Rao KV (1994) Dose related promoter effect of metanil yellow on the development of hepatic pre-neoplastic lesions induced by N-nitrosodiethylamine in rats. Indian J Med Res 100:140–149Google Scholar
  15. Ghanadzadeh A, Shahzamanian MA, Shoarinejad S, Zakerhamidi MS, Moghadam M (2007) Guest–host interaction of some aminoazobenzene dyes doped in liquid crystalline matrix. J Mol Liq 136(1):22–28.  https://doi.org/10.1016/j.molliq.2007.01.012 Google Scholar
  16. Grossi M, Riccò B (2017a) An automatic titration system for oil concentration measurement in metalworking fluids. Measurement 97:8–14.  https://doi.org/10.1016/j.measurement.2016.11.014 Google Scholar
  17. Grossi M, Riccò B (2017b) Electrical impedance spectroscopy (EIS) for biological analysis and food characterization: a review. JSSS 6:303–325.  https://doi.org/10.5194/jsss-6-303-2017 Google Scholar
  18. Grossi M, Di Lecce G, Toschi TG, Riccò B (2014) A novel electrochemical method for olive oil acidity determination. Microelectron J 45(12):1701–1707.  https://doi.org/10.1016/j.mejo.2014.07.006 Google Scholar
  19. Guo X, Wei Q, Du B, Zhang Y, Xin X, Yan L, Yu H (2013) Removal of Metanil Yellow from water environment by amino functionalized graphenes (NH 2-G)—influence of surface chemistry of NH 2-G. Appl Surf Sci 284:862–869.  https://doi.org/10.1016/j.apsusc.2013.08.023 Google Scholar
  20. Gupta S, Sundarrajan M, Rao KVK (2003) Tumor promotion by metanil yellow and malachite green during rat hepatocarcinogenesis is associated with dysregulated expression of cell cycle regulatory proteins. Teratog Carcinog Mutagen 23(S1):301–312.  https://doi.org/10.1002/tcm.10056 Google Scholar
  21. Hishikawa N, Takahashi Y, Amakusa Y, Tanno Y, Tuji Y, Niwa H, Murakami N, Krishna UK (2012) Effects of turmeric on Alzheimer’s disease with behavioral and psychological symptoms of dementia. Ayu 33(4):499–504.  https://doi.org/10.4103/0974-8520.110524 Google Scholar
  22. Jaiswal P, Jha SN, Borah A, Gautam A, Grewal MK, Jindal G (2015) Detection and quantification of soymilk in cow–buffalo milk using attenuated total reflectance Fourier transform infrared spectroscopy (ATR–FTIR). Food Chem 168:41–47.  https://doi.org/10.1016/j.foodchem.2014.07.010 Google Scholar
  23. Krishnaji, Srivastava SL (1964) First-order London dispersion forces and microwave spectral linewidth. J Chem Phys 41(8):2266–2270.  https://doi.org/10.1063/1.1726257 Google Scholar
  24. Li S, Zhang X, Shan Y, Su D, Ma Q, Wen R, Li J (2017) Qualitative and quantitative detection of honey adulterated with high-fructose corn syrup and maltose syrup by using near-infrared spectroscopy. Food Chem 218:231–236.  https://doi.org/10.1016/j.foodchem.2016.08.105 Google Scholar
  25. Mainreck N, Brezillon S, Sockalingum GD, Manfait M, Wegrowski Y (2011) Rapid characterization of glycosaminoglycans using a combined approach by infrared and Raman microspectroscopies. J Pharm Sci 100:441–450.  https://doi.org/10.1002/jps.22288 Google Scholar
  26. Moghadamtousi SZ, Kadir HA, Hassandarvish P, Tajik H, Abubakar S, Zandi K (2014) A review on antibacterial, antiviral, and antifungal activity of curcumin. Biomed Res Int 2014(12):1–12.  https://doi.org/10.1155/2014/186864 Google Scholar
  27. Nagaraja TN, Desiraju T (1993) Effects of chronic consumption of metanil yellow by developing and adult rats on brain regional levels of noradrenaline, dopamine and serotonin, on acetylcholine esterase activity and on operant conditioning. Food Chem Toxicol 31(1):41–44.  https://doi.org/10.1016/0278-6915(93)90177-Z Google Scholar
  28. Nakonieczna A, Paszkowski B, Wilczek A, Szypłowska A, Skierucha W (2016) Electrical impedance measurements for detecting artificial chemical additives in liquid food products. Food Cont 66:116–129.  https://doi.org/10.1016/j.foodcont.2016.01.044 Google Scholar
  29. Nallappan K, Dash J, Ray S, Pesala B (2013) Identification of adulterants in turmeric powder using terahertz spectroscopy. IRMMW-THz IEEE:1–2.  https://doi.org/10.1109/IRMMW-THz.2013.6665688
  30. Nath PP, Sarkar K, Tarafder P, Paul G (2013) Development of a visible spectrophotometric method for the quantitative determination of metanil yellow in different food samples. Int J Pharma Bio Sci 4(2):685–692Google Scholar
  31. Prasad OM, Rastogi PB (1983) Haematological changes induced by feeding a common food colour, metanil yellow, in albino mice. Toxicol Lett 16(1–2):103–107.  https://doi.org/10.1016/0378-4274(83)90017-6 Google Scholar
  32. Sasikumar B, Syamkumar S, Remya R, John Zachariah T (2004) PCR based detection of adulteration in the market samples of turmeric powder. Food Biotechnol 18(3):299–306.  https://doi.org/10.1081/FBT-200035022 Google Scholar
  33. Sen AR, Gupta PS, Dastidar NG (1974) Detection of Curcuma zedoaria and Curcuma aromatica in Curcuma longa (turmeric) by thin-layer chromatography. Analyst 99(1176):153–155.  https://doi.org/10.1039/AN9749900153 Google Scholar
  34. Singh V, Mishra AK (2015) White light emission from vegetable extracts. Sci Rep 5(11118).  https://doi.org/10.1038/srep11118
  35. Spinelli FR, Dutra SV, Carnieli G, Leonardelli S, Drehmer AP, Vanderlinde R (2016) Detection of addition of apple juice in purple grape juice. Food Cont 69:1–4.  https://doi.org/10.1016/j.foodcont.2016.04.005 Google Scholar
  36. Srivastava LP, Khanna SK, Singh GB (1978) Spectrophotometric estimation of metanil yellow in foodstuffs. Int J Environ Anal Chem 5(2):119–124.  https://doi.org/10.1080/03067317808071137 Google Scholar
  37. Swinehart DF (1962) The Beer-Lambert law. J Chem Educ 39(7):333.  https://doi.org/10.1021/ed039p333 Google Scholar
  38. Tiwari M, Agrawal R, Pathak AK, Rai AK, Rai GK (2013) Laser-induced breakdown spectroscopy: an approach to detect adulteration in turmeric. Spectrosc Lett 46(3):155–159.  https://doi.org/10.1080/00387010.2012.702707 Google Scholar
  39. Torrecilla JS, Rojo E, Dominguez JC, Rodríguez F (2010) A novel method to quantify the adulteration of extra virgin olive oil with low-grade olive oils by UV–Vis. J Agric Food Chem 58(3):1679–1684.  https://doi.org/10.1021/jf903308u Google Scholar
  40. Tripathy S, Ghole AR, Deep K, Vanjari SRK, Singh SG (2017) A comprehensive approach for milk adulteration detection using inherent bio-physical properties as ‘universal markers’: towards a miniaturized adulteration detection platform. Food Chem 217:756–765.  https://doi.org/10.1016/j.foodchem.2016.09.037 Google Scholar
  41. Zakerhamidi MS, Ahmadi-Kandjani S, Moghadam M, Ortyl E, Kucharski S (2012) Solvatochromism effects on the dipole moments and photo-physical behavior of some azo sulfonamide dyes. Spectrochim Acta A 85(1):105–110.  https://doi.org/10.1016/j.saa.2011.09.042 Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Chirantan Das
    • 1
  • Subhadip Chakraborty
    • 1
  • Nirmal Kumar Bera
    • 2
  • Krishnendu Acharya
    • 3
  • Dipankar Chattopadhyay
    • 2
  • Anupam Karmakar
    • 1
  • Sanatan Chattopadhyay
    • 1
    Email author
  1. 1.Department of Electronic ScienceUniversity of CalcuttaKolkataIndia
  2. 2.Department of Polymer Science and TechnologyUniversity of CalcuttaKolkataIndia
  3. 3.Molecular and Applied Mycology and Plant Pathology Laboratory, Department of BotanyUniversity of CalcuttaKolkataIndia

Personalised recommendations