Skip to main content
Log in

Electronic tongue for pharmaceutical analytics: quantification of tastes and masking effects

  • Original Paper
  • Published:
Analytical and Bioanalytical Chemistry Aims and scope Submit manuscript

Abstract

The organoleptic aspects of pharmaceutical formulations affect their acceptability to the patient and hence can have an important effect on concordance with treatment. Objective evaluation of these aspects, particularly the taste of the formulation and the drug substance it contains, is difficult. Whilst volunteer taste panels can be used to good effect their utility is limited, particularly during very early stage development when the toxicological profile of the active pharmaceutical ingredient (API) is yet to be established in detail. A potentiometric “electronic tongue” has been applied to analyse a variety of 41 individual substances and mixtures of particular interest for pharmaceutical research and development. The electronic tongue (ET) was capable of discriminating between substances with different taste modalities and could also distinguish different substances eliciting the same basic taste; the ET is promising in terms of quantifying the content of each substance and has an ability to detect nuances of the basic taste (e.g. lingering or short-lived). After calibration the electronic tongue was successfully applied to predicting bitterness strength of binary mixtures with a sweetener in terms of “apparent” or “perceived” quinine content. In order to render a formulation palatable it is often necessary to mask the (usually bitter) taste of the API by the addition of masking agents such as sweeteners and flavours. The ET proved capable of distinguishing between formulations with different levels of sweetener and/or flavour in a manner that was consistent with their masking efficiency as perceived by a small human taste panel. A suitably calibrated ET could have the benefit of providing the pharmaceutical formulator with reliable data concerning the taste of the product quickly and with a reduced need to ask volunteers to taste active pharmaceutical samples. Early development activities could be facilitated when human tasting is usually not possible in the absence of the required toxicological data.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4a,b
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Vlasov Yu, Legin A, Rudnitskaya A (2002) Anal Bioanal Chem 373:136–146

    Article  CAS  PubMed  Google Scholar 

  2. Toko K (1998) Meas Sci Technol 9:1919–1936

    Article  CAS  Google Scholar 

  3. Indow T (1969) Percept Psychophysiol 5:347–351

    Google Scholar 

  4. Nikolsky BP (1937) Zurn Anal Chim 10:495

    Google Scholar 

  5. Eisenmann G, Rudin GO, Casb JU (1957) Science 126:831

    PubMed  Google Scholar 

  6. Legin A, Rudnitskaya A, Seleznev B, Vlasov Yu (2000) In: Gardner JW, Persaud KC (eds) Electronic noses and olfaction 2000. Series in sensors (series ed Jones BE). IOP Publishing, Bristol, pp 13–20

  7. Toko K (2000) Sens Actuators B 64:205–215

    Article  Google Scholar 

  8. Rudnitskaya A, Legin A, Salles C, Mielle P (2001) In: Stetter JR, Penrose WR (eds) Artificial chemical sensing: olfaction and the electronic nose (ISOEN 2001), Sensor Division, vol 15. The Electrochemical Society USA, Proceedings

  9. Takagi S, Toko K, Wada K, Yamada H, Toyoshima K (1998) J Pharm Sci 87:552–555

    Article  CAS  PubMed  Google Scholar 

  10. Tagaki S, Toko K, Wada K, Ohki T (2001) J Pharm Sci 90:2042–2048

    Article  PubMed  Google Scholar 

  11. Uchida T, Kobayashi Y, Miyanaga Y, Toukubo R, Ikezaki H, Taniguchi A, Matsuyama K (2001) Chem Pharm Bull 49:1336–1339

    Article  CAS  PubMed  Google Scholar 

  12. Miyanaga Y, Tanigake A, Nakamura T, Kobayashi Y, Ikezaki H, Taniguchi A, Matsuyama K, Uchida T (2002) Int J Pharm 248:207–218

    Article  CAS  PubMed  Google Scholar 

  13. Ito T, Radecka H, Tohda K, Odashima K, Umezawa Y (1998) J Am Chem Soc 120:3049–3059

    Article  CAS  Google Scholar 

  14. Vlasov Yu, Legin A, Rudnitskaya A (1997) Sens Actuators B 44:532–537

    Article  Google Scholar 

  15. Legin A, Rudnitskaya A, Smirnova A, Lvova L, Vlasov Yu (1999) J Appl Chem (Russian) 72:114–120

    Google Scholar 

  16. Legin A, Makarychev-Mikhailov S, Goryacheva O, Kirsanov D, Vlasov Yu (2002) Anal Chim Acta 457:297–303

    Article  CAS  Google Scholar 

  17. Naes T, Martens H (1989) Multivariate calibration. Wiley, New York

    Google Scholar 

  18. Esbensen K (2001) Multivariate analysis in practice, Camo ASA

    Google Scholar 

  19. Electronic statistics textbook (2004) StatSoft, Tulsa, OK. http://www.statsoft.com/textbook/stathome.html

  20. Barker M, Rayens W (2003) J Chemometrics 17:166–173

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andrey Legin.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Legin, A., Rudnitskaya, A., Clapham, D. et al. Electronic tongue for pharmaceutical analytics: quantification of tastes and masking effects. Anal Bioanal Chem 380, 36–45 (2004). https://doi.org/10.1007/s00216-004-2738-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00216-004-2738-3

Keywords

Navigation