A comparison of semi-quantitative methods suitable for establishing volatile profiles.
Victoria Ruiz-Hernández1,2, María José Roca3, Marcos Egea-Cortines1,2
11Instituto de Biotecnología Vegetal, Universidad Politécnica de Cartagena, Cartagena, Spain.
Accurate scent profiling of volatile organic compounds (VOCs) is achievable without individual compound calibration curves. Several semi-quantitative methods provide statistically similar results for relative abundance analysis.
Area of Science:
- Analytical Chemistry
- Biochemistry
- Environmental Science
Background:
- Scent profiles from living tissues are analyzed using gas chromatography-mass spectrometry (GC-MS) and Headspace Sorptive Extraction.
- Absolute quantification of volatile organic compounds (VOCs) is challenging due to unpredictable compositions and lack of standards.
- Researchers often focus on relative abundance (scent footprints) rather than absolute quantities for scent profiling.
Purpose of the Study:
- To compare the efficacy of various semi-quantitative methods for VOC analysis in scent profiling.
- To determine if calibration curves are necessary for accurate relative quantification of VOCs.
Main Methods:
- Evaluation of semi-quantitative methods including external calibration curves, liquid addition of standards, total/normalized peak area per fresh weight, internal standard abundance, nearest n-alkane, and percentage of emission.
- Exploration of nearest components and single calibrators for semi-quantification.
- Comparison of results against true-standard quantification where applicable.
Main Results:
- Most semi-quantitative methods, except standard addition to the biological sample, yielded results comparable to true-standard quantification.
- Each method exhibited distinct advantages and disadvantages concerning accuracy, variability, and retrieved quantities.
- Statistical results from the studied semi-quantitative methods were highly similar.
Conclusions:
- Several semi-quantitative methods are valid for scent profiling, offering similar statistical outcomes.
- Generating calibration curves for each VOC is not essential for determining relative proportions.
- The choice of method depends on specific research needs regarding accuracy and experimental constraints.
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