Comparison and conversion of fruit quality measurements obtained from three textural instruments and validation of the results with sensory evaluation data

Citation

Bejaei, M. (December 2021). Comparison and conversion of fruit quality measurements obtained from three textural instruments and validation of the results with sensory evaluation data. SenseAsia 2021 (Virtual)

Plain language summary

Apple texture is an important attribute considered by customers in making purchase decisions, and also considered by experts in evaluating the fruit quality, maturity, storability and marketability. Different instruments are used to evaluate the fruit texture at different programs. This makes the comparison of their results challenging. In addition, long-term research programs (e.g., apple breeding programs) collect data on the same varieties for more than 20 years and as a result they cannot easily switch to use a new instrument and need validation and conversion models to be able to do so. As a result, the objectives of this study were: 1) comparing the data obtained from three widely used textural instruments, and investigating relationships between the obtained parameters; 2) validating the instrumental measurements with sensory evaluations; and 3) developing models to convert data obtained from one instrument to those that can be measured by another instrument.
Three computerized Penetrometers were used in this study: Fruit Texture Analyzer (FTA) which was used to measure maximum firmness on peeled fruit; Mohr Digi-Test-2 (MDT2) which was used to collect eight parameters on peeled samples; TA.XTplus Texture Analyzer which was used to measure five parameters on intact samples.
Eight apple varieties with a range of textural attributes were used in this study. Fruit was grouped into two lots of four cultivars and were warmed to room temperature overnight prior to conducting the tests. Sensory judges (n = 11) were recruited from staff at Summerland Research and Development Centre, and evaluated apples in triplicate in individual sensory booths under red light using Compusense five software (Compusense Inc., Guelph, ON). Food standards were presented for defined sensory attributes. The triplicate assessment of four apple varieties were completed in each session based on quantitative descriptive analysis techniques using apple slices (⅛ apple) excised from the sun/shade transition zones. The instrumental measurements were conducted on 10 apples from each cultivar, with two measurements on each apple as subsamples.
In summary, we were able to compare the measurements from three commonly used computerized penetrometers to evaluate apple texture, investigated their relationships with the sensory evaluations and developed models to convert data obtained from one instrument to those that can be generated with another instrument.

Abstract

Textural instruments such as TA.XTplus Texture Analyzer (Stable Micro Systems Ltd., Godalming, UK), Fruit Texture Analyzer (Güss Manufacturing Ltd, Strand, South Africa) and Mohr Digi-Test-2 (Mohr and Associates Inc., Richland, WA) are frequently used to measure fruit textural quality in several supply chain sectors. The application of various instruments in different settings makes the comparison of the results very challenging. In addition, the instrumental data must be validated with the sensory evaluations to make sure the results are correlated with human perception of the fruit textural quality. The main objectives of the current study were to compare textural data obtained from the listed three instruments, validate results with the sensory data, and develop models to convert data among the studied instruments.
Eight apple varieties with a range of textural attributes were used in this study. Fruit was sorted to minimize size and color variations within each variety. The apple cultivars were stored in air at 0.5 ˚C, grouped into two lots of four cultivars and were warmed to room temperature overnight prior to conducting the tests. Sensory judges (n = 11) were recruited from staff at Summerland Research and Development Centre, and evaluated apples in triplicate in individual sensory booths under red light using Compusense five software (Compusense Inc., Guelph, ON). Food standards were presented for defined sensory attributes. The triplicate assessment of four apple varieties were completed in each session based on quantitative descriptive analysis techniques using apple slices (⅛ apple) excised from the sun/shade transition zones. The instrumental measurements were conducted on 10 apples from each cultivar, with two measurements on each apple as subsamples. Results indicated that the majority of the measured variables obtained from different instruments and sensory evaluations were correlated with each other. Predictive models were developed to convert data among the studied instruments.

Publication date

2021-12-05

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