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Potato Chips Hardness and Strength


Texture-Analyzer-potato-chipsThe following data was gathered for a potato chip processor, in an effort to come up with a consistent and objective way to evaluate their potato products, specifically its hardness. Current methods include mostly subjective, sensory testing. While sensory is important, it is subjective and varies from person to person.

Three different samples were evaluated. They were as follows:

  • Regular Potato Chips (X)
  • Kettle Chips (Y)
  • Kettle Chips (Z)

Food Technology Corporation (FTC) was tasked to develop a method that would be able to show a difference in the product that was sent. In order to fine tune the method without destroying the product that was sent by the client, additional product was purchased at a local store in order to come up with the best method. Once FTC was satisfied with their methodology, we moved on to testing the actual product that was sent by the customer.


Materials and Methods

Texture-Analyzer-potato-chips2All testing was done using FTC’s TMS-Pro Texture Analyzer, fixed with a 1000N Intelligent Load Cell (ILC) that was fitted with a custom setup designed by FTC. The actual fixture setup for the test included a 100mm compression plate and a plastic cylinder approximately 125 mm in diameter and 165 mm tall to contain the chips while they were being compressed. As potato chips are a product with extreme variation from chip to chip and bag to bag, the method had to be designed in a way that took this in to account, while still being about to consistently measure the texture of the product overall.

Each test replication involved the TMS-Pro doing 4 compressions to increasing levels of displacement. Each compression was at a speed of 1000 mm/min. The displacements were 120 mm, 100 mm, 80 mm, and 60 mm respectively. The displacement is based on the distance from the bottom of the container; which in this case was set to be absolute zero. After each compression, the system relaxed or backed off 10 mm from the compression displacement. The test program was designed to mimic the act of chewing. Once the test was complete, the work (or area under the curve) needed to for the system to “chew” the chips was calculated using the Texture Lab Pro software.


Results and Discussion

Below is the graphical representation of the samples that were tested. The X-axis is displacement and the Y-axis is force.


Each individual peak represents a compression cycle. As each cycle goes to a further displacement, each peak is higher than the one previous. Looking at the graph, it appears that we get the clearest definition between the 3 products in the last compression cycle.

Below is a table showing the calculations that were done on the above graph.


The table of results shows the work that was done during the test for each compression and the total of the 4 compressions. Based on this data, the total amount of work done gives the best overall picture of the product when trying to make a differentiation between the 3 sample groups, specifically the two kettle style chips. In comparing the averages of sample Y and sample Z as a percentage, sample Z requires more than 25% more work to compress the sample 4 times than does that of the 11776 samples. Based on our past experience in texture testing, this would be considered a significant difference. The standard deviation and coefficient of variation (COV) is higher than we would like to see but that is due the inherent variation in this product. Also, these results were produced with a limited amount of product. Additional replications should narrow the results to more acceptable levels of variation in the data points.



Based on our results, a significant difference between all three products can be produced using the above described method. The final data concludes both kettle style chips require more energy to “chew” than the regular style chips. Furthermore, it can be concluded that the sample Z Kettle chips require more energy in this test than the sample Y Kettle chips. Utilizing the client’s terminology, the sample Z chips would be considered to be harder. This was the expected result and the point of most interest to the customer.

While the product is quite variable and will need multiple replications to obtain good statistical data, the methodology for this application is capable of producing consistent, repeatable results. This consistency was accomplished by increasing the sample size to a point where the extreme variation from chip to chip in regards to size, shape, starch dispersion, water dispersion, etc., did not have as much of an effect on the overall texture of the product. Being able to evaluate the samples as a whole, instead of on an individual chip basis is important as the consumer generally quantifies this product overall and not individually.

Trusted by customers across the world

The University of Arizona’s Nutritional Sciences Food Lab acquired a Texture Analyzer from Food Technologies about 5 years ago. The company has a great product, which is tailored to food needs. 

We have used the Texture Analyzer for both research projects and as a tool to demonstrate to students how food manufacturers can employ objective testing in product evaluation to show how differing ingredients in the same product can affect quality attributes. Its use adds another dimension to the foods labs.

Drew Lambert has been instrumental in helping with set up for testing and providing support whenever there’s a question. He has been a pleasure to work with and is always accommodating with our needs and schedules.  He has even sent us special attachments for special projects.  We couldn’t ask for a better technical support.  Thanks for a great product and great service.

Patricia Sparks, Ph.D.
Assistant Professor of Practice

At the University of Saskatchewan, we are the proud owners of three generations of Food Technology Corporation texture equipment, all of which are still in working condition.

We are looking forward to future innovations from FTC.



Phyllis J. Shand, University of Saskatchewan - Canada

As a seasonal vegetable processor, understanding crop maturity and the accuracy of this measurement is key to staying ahead of crop and knowing when to make the move from value to premium product as harvest time constraints permit.

The TU units provided by FTC give us the accuracy to work to much tighter tolerances, replacing older less accurate analogue equipment which in turn can affect final product grading and profitability.

The units are well designed, very low maintenance and are backed up with a strong support service which will allow them to provide many years of accurate, reliable service.

Colven Wilson
Technical Manager