390
Views
3
CrossRef citations to date
0
Altmetric
Articles

Estimation of exposures to non-nutritive sweeteners from consumption of tabletop sweetener products: a review

Pages 359-365 | Received 05 Nov 2018, Accepted 27 Dec 2018, Published online: 12 Feb 2019
 

ABSTRACT

Reliable estimation of intake of non-nutritive sweeteners (NNS) from tabletop sweetener products (TTS) is complex. Some TTS contain more than one type of NNS and more importantly, there can be considerable formula variation between different types of TTS products; that is liquid, powder and tablet products. A survey of use levels (mg NNS/kg TTS retail product) confirmed wide variations and reflected major differences in the portion size, or mass, typically used to deliver a sweetness equivalent to around one teaspoon (tsp) of sugar. This paper reviews current intake estimation models and reveals that these models may result in inappropriate intake estimations, probably because some surveys did not discriminate between powder, tablet and liquid forms. The data suggest that using upper percentile consumption figures for powdered forms is a critical factor in intake estimations and may be a more realistic method by which overall exposure estimates could be obtained.

Graphical Abstract

Disclosure statement

No potential conflict of interest was reported by the author.

Additional information

Funding

This work was supported by the International Sweeteners Association.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 799.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.