Comparison of Aroma and Flavor Profiles of Strawberry-Flavored Candy and Fresh Strawberries

Importance of the Topic

A detailed comparison of aroma and flavor profiles between natural foods and their processed analogs is critical for quality control, product development and consumer satisfaction. Characterizing volatile compounds helps manufacturers optimize formulations, detect adulteration and align sensory properties with consumer expectations.

Objectives and Study Overview

This study set out to compare the volatile composition of a strawberry-flavored candy versus a fresh strawberry. By identifying shared and unique analytes, the work aims to reveal the chemical basis for differences in aroma and taste between a real fruit and an artificial flavor product.

Methodology

Samples (6.5 g each) of fresh strawberry and strawberry candy were equilibrated at 50 °C for 5 minutes and then subjected to headspace solid-phase microextraction (HS-SPME) using a DVB/CAR/PDMS fiber for 30 minutes. Volatile compounds were analyzed via gas chromatography coupled with time-of-flight mass spectrometry (GC-TOFMS), providing full mass spectra (35–650 m/z) at 10 spectra per second. Chromatographic coelutions were resolved using automated deconvolution algorithms to extract pure component spectra for library matching and quantification.

Used Instrumentation

• Agilent 7890 GC with LECO L-PAL3 autosampler
• SPME injection, 2 min desorption at 250 °C, splitless
• Rxi-5ms column (30 m x 0.25 mm i.d. x 0.25 µm)
• Helium carrier gas at 1.0 mL/min
• Oven program: 40 °C (2 min), 5 °C/min to 200 °C, 10 °C/min to 300 °C (1 min hold)
• LECO Pegasus BT TOFMS, ion source 250 °C

Main Results and Discussion

• TIC profiles revealed hundreds of volatiles; the candy and fruit showed distinct chromatographic fingerprints.
• Deconvolution separated coeluting compounds—for example, τ-nonalactone (fruit lactone) and glycerol triacetate (candy additive) were individually quantified.
• Comparative analysis showed glycerol triacetate present only in candy, while τ-nonalactone occurred in both, at much lower levels in fresh fruit.
• Lactone profiling indicated elevated γ-nonalactone and γ-undecalactone in candy, whereas γ-decanolactone and γ-dodecanolactone dominated in fresh strawberries, influencing different fruity and creamy odor notes.
• Ethyl esters, key fruity odorants, were generally higher in the fresh fruit, underlining the more complex natural flavor profile.
• Sesquiterpene markers (m/z 204.22) were more abundant in candy, suggesting added terpenoid flavor components.

Benefits and Practical Applications

By pinpointing specific volatiles responsible for sensory attributes, manufacturers can refine flavor formulations, detect off-flavor compounds and ensure consistency. Analytical deconvolution enhances detection sensitivity and broadens compound coverage, aiding research laboratories and QA/QC workflows.

Future Trends and Opportunities

Advances in high-resolution MS, multidimensional GC and machine learning–based deconvolution will further improve volatile profiling. Integration of sensory data and chemometric modeling promises predictive flavor design. Portable GC-TOFMS platforms may enable on-site quality monitoring in production facilities.

Conclusion

This comparative study demonstrates the power of HS-SPME GC-TOFMS combined with deconvolution for detailed aroma profiling. By contrasting a strawberry candy with fresh fruit, the work uncovers key flavor differences at the molecular level and highlights analytical strategies that support product innovation and quality assurance.