Tuesday, September 20, 2011

Brettanomyces Experiment Results

Back in April, using Chad Yakobson’s Brettanomyces Project dissertation as a backdrop, I began an experiment to determine which concentration of starting lactic acid would yield a brett beer with the most desirable ester profile.  Yakobson’s empirical data showed that, basically, as the initial level of lactic acid increased, the level of attenuation increased while the secondary metabolites decreased.  While this information is extremely fascinating to me, it didn’t tell me where that perfect middle ground would be, or if there even would be one from a completely subjective taste perspective.  To find out, I replicatedthe study using a smaller sample size and this last week, I finally was able to look at the results.

After fermenting and aging for about four months, I decided to open up each brettanomyces lambicus sample and take the fermentative measurements.   Oddly enough, all six of the White Labs samples finished out right around 1.0043 specific gravity while all of the Wyeast samples finished out at 0.  Granted that each of my samples fermented for about 3.5x the length of those in Yakobson’s study, I still was a little surprised that the initial concentration of lactic acid didn’t play a bigger role in the final gravity of each beer.  In his Wyeast sample, there was nearly double the percentage of apparent attenuation between the 0mg/L sample and the 3000mg/L sample and yet in my results, they ended up nearly identical.  

Although the disparities between the two are not strikingly large, the Wyeast beers did end up with slightly lower pH than the matching White Labs beers.  I’m not sure if this is telling that the Wyeast strain produces slightly more acid than the White labs version or if it has to do with the slightly different levels of attenuation.  If the White Labs beers were able to ferment all the way down to 0, would the pH be more similar?  

As fun as the empirical data is to look at, my main reason for this experiment was because I wanted a subjective view of the flavor.  So, on September 15th, six of my homebrew club friends, each with sophisticated palates, gathered for a blind tasting.   Although I knew that a few of the participants had read Yakobson’s dissertation, I wanted to keep the details of my experiment a surprise and so prior to the tasting, only one other person in the group was aware of what we would be sampling.   I also wanted to be able to participate blind and so at the time of bottling, I randomly selected samples from the batch and transferred them into consecutively numbered bottles (I did keep index notes though).  Four weeks later at the tasting, when I poured each bottle into the individual sample glasses, I had long since forgotten which bottle was which beer.    

Each participant was given one sample from each of the 12 variants at the same time along with a score sheet to record their perceptions and preferences.  Since Yacobson’s study showed dramatic changes in four ester concentrations based upon the initial levels of lactic acid, I included these four flavor profiles (Ethyl Acetate – Solventy, Ethyl Lactate – Buttery/Creamy, Ethyl Caproate – Fruity/Wine, and Ethyl Caprylate – Fruity/Apple) as well as two other characteristics (Goaty/Funky and overall sourness).  In addition to these flavors, I also asked the participants to rate each sample based on what they determined to be the overall “Brettiness” of each sample as well as their overall satisfaction with each one.  All ratings were based on a 5 scale with 5 being the highest.

For each of the samples below, I compiled the scores, threw out the high and low, and then averaged the scores for each concentration level.  The results are as follows: 


 
Mean ethyl lactate scores for Wyeast seemed to increase as the initial concentration of lactic acid increased, but after 1000mg/L, the perception of the ester dropped off.  A similar occurrence happened with the White Labs strain except there was a near equal level of detection between the 1000 and 3000mg/L concentrations.  This is interesting to me because in Yakobson’s study, there was a clear correlation between the acid and ester and the concentration of the ester seemed to increase at an exponential rate as the acid increased.  In my results, we didn’t really see that and in fact, the overall highest perception occurred at 1000mg/L.

 
The mean ethyl acetate scores for my results differ considerably from what Yakobson found in his study.  Similar to ethyl Lactate, from an initial concentration of 100mg/L of lactic acid, there was a slight correlation between the ester and the acid concentration.  We see a somewhat similar patter with the White Labs strain starting at about the 500mg/L concentration, but with Wyeast, at the same mark the two are basically inversely correlated.    

 
Interestingly enough, my results for Ethyl Caproate are almost entirely opposite of what Yakobson found.  In general, this is one of the esters that he basically found to decrease in concentration as the amount of initial lactic acid increased.  My results show that our perception of the ester generally increased along with the lactic acid concentration.  It’s interesting to note that again Wyeast peaked in flavor around the 1000mg/L mark whereas with the White Labs strain, starting at the 100mg/L mark, there’s a pretty consistent increase in ester detection as the lactic acid increases. 

 
A somewhat similar ester to Ethyl Caproate, our Ethyl Caprylate detection varied by strain.  It appears as though we had a growing detection of it up until the 500mg/L point with the Wyeast strain, after which the level fell closer to the mark at 0mg/L of lactic acid.  With the White Labs strain though, our perception of it was all over the map and it does not appear that there was any correlation to the lactic acid concentration levels.  Both of these results were contrary to what Yakobson found though.  

 
In addition to looking at the specific, individual esters, I asked my participants to taste each sample and rate them based on their contentment of the overall “brett” flavor.  This is difficult concept to quantify since each participants’ perception of what brett really tastes like can differ and their individual preference for certain esters associated with brett vary, but overall, I wanted to see if there were any noticeable trends.  It turns out that with the White Labs strain, there definitely appears to be an increase in perceived “brettiness” up until the 1000mg/L mark after which the perception essentially levels off.  Although there was a big drop between 0 and 100mg/L acid concentration, starting at the 100mg/L mark we see a similar pattern with the Wyeast strain.  It appears that perceived “brettiness” increases with the lactic acid concentration up to about the 2000mg/L mark.  

So how does all of this add up?  Assuming that these results were repeatable every single time, I suppose if you wanted to tailor a beer to have a certain flavor profile, you could look above for the ester that you want to profile and then choose the initial concentration of lactic acid which resulted in the highest perception of said ester.  If you want a mixture of the esters resulting in the best flavor profile, what’s the best method?  With the data that I gathered, I went about this in two different ways.

 
In the first method, for each level of initial concentration, I took the six flavor profile scores and created one overall mean score.   As you can see in the Wyeast results above, it appears as though people thought that the greatest concentration of flavors was to be had at the 500-1000mg/L initial acid concentration level.  With the White Labs strain, the results were a little more mixed.  In general, flavor concentrations were greatest at, or above, 1000mg/L with the highest overall flavor rating at the 3000mg/L mark.  

In addition to aggregating the individual flavor ratings, I also asked each participant to rank their top three favorite samples based on overall flavor and general satisfaction.  To compute a final score and rank, for each 1st place vote, I awarded 3 points, 2nd place I awarded 2 points, and 1 point for each 3rd place vote. 
 
Although the Wyeast 3000mg/L sample came in first in terms of total number of votes, based on the scores, the top preference was actually the White Labs 2000mg/L sample.  Even though these results don’t match perfectly with the aggregated scores above, the White Labs result is fairly close since the 2000mg/L sample tied for 2nd in terms of highest score with the aggregates above.  To me though, it’s maybe more interesting that the 3000mg/L Wyeast sample received the most votes when that sample above had five other samples with higher aggregate scores.  My assumption is that this has to do with my participants’ general preference for increased acidity.  Whereas the ratings above were based on ester/flavor concentrations, the votes and scores were based on which sample they liked the best.   Since the 3000mg/L sample had a fair amount of aggregated flavor and a higher level of acidity, it makes logical sense that they might rate it higher than say a sample with a slightly higher level of combined flavors but with much lower acidity.  Unfortunately this theory doesn’t hold up so well when you look at the 3rd and 4th place samples…

Overall, the experiment was a lot of fun to conduct even though the results didn’t mirror those that Yakobson found.  I was expecting to see stronger correlations between the esters and the initial levels of lactic acid, and although we didn’t, I think the results that I found proved that perceptions don’t always match up with reality.  

Even though I attempted to recreate Yakobson’s project as best I could, I’m still fully aware that my experiment was not without flaws and the two don’t match up perfectly.  If I were to replicate it again, I definitely would like to take fermentative readings at the 35 day mark to see if the attenuation rates ended up closer to what Yakobson found.  As for the tasting, profiling six different esters between twelve different beers is a big challenge and I think I would restructure the tasting a bit to help with this task.  First, I might break the tasting down into two sessions of six samples.  While it was fun to try the White Labs and Wyeast samples side by side to see how they differ, I believe that if we were to only judge the six samples from one strain at a time, we wouldn’t run into palate fatigue as quickly and our scores might have been spread apart a bit more than they were.  Related to this, I think that using a 5-point rating scale clustered the results too much and for future ratings, a 10-point scale would allow for a little more variation.  Lastly, I failed to provide everyone with a benchmark sample first.  Without this beer to calibrate our palates, the first sample that each of us tried probably averaged three points across the board since we didn’t have anything to compare the concentrations of flavors against (it’s impossible to know though since I asked everyone to start at different samples and move about the group randomly).

2 comments:

  1. Interesting Results. I'm also surprised that there are not more clear cut results.

    And very interested to see if the results will diverge more when you do the second round of tastings down the line.

    ReplyDelete
  2. If you set out to make me think today; mission accomplished! I really like your writing style and how you express your ideas. Thank you. source

    ReplyDelete

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