Nav: Home

Getting to a 75 percent sugar reduction: How researchers discovered sweet spot for Stevia

July 17, 2018

JULY 17, 2018 (Brussels, Belgium) -- A team of 27 scientists working with a major stevia supplier has created a systematic way to spot blends of steviol glycosides with outstanding taste performance. With data from a huge sensory study they built a mathematical model of the interactions between key glycosides. The model reveals the glycoside mixes that taste the best - and those that don't.

"This approach systematically pinpoints stevia blends that deliver superior taste, allowing for unprecedented levels of sugar reduction while keeping taste quality, an important attribute today with the U.S. Department of Agriculture's (USDA) Dietary Guidelines calling for significant cuts in daily sugar intake," said Dr. John Fry, an internationally acknowledged expert on high potency sweeteners.

Extensive sensory studies

Around 100 trained panellists labored over more than two years to characterize each of the most abundant glycosides in stevia leaf. Difference, descriptive, threshold and quantitative panels all played a part. As well as concentration-response relationships for sweetness, for the first time curves for bitterness and liquorice were produced (the latter two being attributes that had negatively impacted earlier stevia sweeteners). The panels went on to look at taste interactions in two-, three- and four-component mixtures.

Sophisticated modelling techniques simplified the enormous compilation of data, allowing the taste of all possible combinations of certain glycosides to be displayed as color-coded pictures. These "maps" highlighted where sweetness was enhanced or undesirable side tastes reduced. Additional "contour plots" revealed glycoside blends that should interact positively. The "finding the sweet spot" chart (see links to access below) shows three such plots, one each for sweetness, bitterness and liquorice, overlaid on each other. The easily-seen highlighted area predicts the glycoside compositions with maximum sweetness intensity and minimum side tastes.

"The beauty of this technique is that the best candidate blends jump out at you, where it could take years of trial-and-error work to stumble on them by accident," said Dr Fry.

Synergistic blends performed better than pure glycosides

The predicted blends were then created from pure glycosides and re-tested to confirm their outstanding performance in foods and beverages. One of the most important results of this research was that synergistic blends kept taste quality while allowing a 75 percent reduction in sugar. This compares with around 50 percent that was the maximum achievable with pure Reb A in typical carbonated beverages.

Alternative approach concurs

Elsewhere, other researchers found that the optimized blend of glycosides identified by a design of experiment platform outperformed Reb A, with the deep sugar reduced chocolate milk and no sugar added yogurt performing best with the optimized blends. These blend solutions both showed a significant improvement in taste compared to the single glycoside, Reb A.
For more about the study and for access to available data and charts, visit the International Stevia Council or the Calorie Control Council.

SOURCE: International Stevia Council

Kellen Communications - NY

Related Mathematical Model Articles:

Moffitt mathematical model predicts patient outcomes to adaptive therapy
In an article published in Nature Communications, Moffitt Cancer Center researchers provide a closer look at a mathematical model and data showing that individual patient alterations in the prostate-specific antigen (PSA) biomarker early in cancer treatment can predict outcomes to later treatment cycles of adaptive therapy.
New mathematical model can more effectively track epidemics
As COVID-19 spreads worldwide, leaders are relying on mathematical models to make public health and economic decisions.
Mathematical model could lead to better treatment for diabetes
MIT researchers have developed a mathematical model that can predict the behavior of glucose-responsive insulin in humans and in rodents.
New mathematical model reveals how major groups arise in evolution
Researchers at Uppsala University and the University of Leeds presents a new mathematical model of patterns of diversity in the fossil record, which offers a solution to Darwin's ''abominable mystery'' and strengthens our understanding of how modern groups originate.
Mathematical model reveals behavior of cellular enzymes
Mathematical modeling helps researchers to understand how enzymes in the body work to ensure normal functioning.
New mathematical model for amyloid formation
Scientists report on a mathematical model for the formation of amyloid fibrils.
New mathematical model shows how diversity speeds consensus
Scientific literature abounds with examples of ways in which member diversity can benefit a group -- whether spider colonies' ability to forage or an industrial company's financial performance.
Newly developed mathematical model could be used to predict cancer drug side effects
A research team at Kobe University Hospital have further illuminated the likelihood of cancer drug side effects that can occur due to genetic mutations in the drug-metabolizing enzyme.
A mathematical model reveals long-distance cell communication mechanism
An interdisciplinary collaborative team at KAIST has identified how a large community can communicate with each other almost simultaneously even with very short distance signaling.
Experimentally validated model for drug discovery gets a stamp of mathematical approval
Insilico Medicine, a biotechnology company developing an end-to-end drug discovery pipeline utilizing next-generation artificial intelligence, is proud to present its paper 'A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models' at the 33rd Conference on Neural Information Processing Systems (NeurIPS).
More Mathematical Model News and Mathematical Model Current Events

Trending Science News

Current Coronavirus (COVID-19) News

Top Science Podcasts

We have hand picked the top science podcasts of 2020.
Now Playing: TED Radio Hour

Climate Mindset
In the past few months, human beings have come together to fight a global threat. This hour, TED speakers explore how our response can be the catalyst to fight another global crisis: climate change. Guests include political strategist Tom Rivett-Carnac, diplomat Christiana Figueres, climate justice activist Xiye Bastida, and writer, illustrator, and artist Oliver Jeffers.
Now Playing: Science for the People

#562 Superbug to Bedside
By now we're all good and scared about antibiotic resistance, one of the many things coming to get us all. But there's good news, sort of. News antibiotics are coming out! How do they get tested? What does that kind of a trial look like and how does it happen? Host Bethany Brookeshire talks with Matt McCarthy, author of "Superbugs: The Race to Stop an Epidemic", about the ins and outs of testing a new antibiotic in the hospital.
Now Playing: Radiolab

Speedy Beet
There are few musical moments more well-worn than the first four notes of Beethoven's Fifth Symphony. But in this short, we find out that Beethoven might have made a last-ditch effort to keep his music from ever feeling familiar, to keep pushing his listeners to a kind of psychological limit. Big thanks to our Brooklyn Philharmonic musicians: Deborah Buck and Suzy Perelman on violin, Arash Amini on cello, and Ah Ling Neu on viola. And check out The First Four Notes, Matthew Guerrieri's book on Beethoven's Fifth. Support Radiolab today at