-
-
Apiol dosage

Apiol dosage

Technique(s)
Categories: ,
Sector of activity
Expertise

Physicochemical, Nutritional

CAS No.

523-80-8

Description

Apiol is a phenylpropanoid compound naturally present in parsley (Petroselinum crispum), lovage, dill, and other plants in the Apiaceae family. Historically used for its medicinal properties, it is now primarily monitored for toxicological reasons, particularly in plant extracts, essential oils, and food products.
Apiol analysis is essential for assessing potential consumer exposure, ensuring the compliance of plant-based raw materials, and making nutraceutical and food formulations containing Apiaceae safe.

Principle of analysis

Apiol is a semi-volatile aromatic compound optimally analyzed by gas chromatography, in particular:

• GC-FID for the quantification of volatile and semi-volatile compounds
• GC-MS for fine identification, precise quantification, and detection in complex matrices

Sample preparation depends on the type of matrix: solvent extraction, dilution, purification, or distillation, depending on the analytical requirements. Partner laboratories use calibrated methods that allow for reliable detection even at low concentrations.

Importance of apiol measurement

The dosage of apiol addresses several industrial and regulatory challenges:

• Evaluate safety in food products
• Control the content in standardized plant extracts
• Verify the presence of apiol in essential oils intended for flavorings, supplements, or technical products
• Prevent toxicological risks related to excessive consumption
• Verify the conformity of imported or processed plant raw materials
• Guarantee the quality of extracts sold for nutraceutical or phytotherapy use

In the food industry, its dosage helps control exposure related to the use of aromatic herbs, extracts, or essential oils. In the nutraceutical sector, it helps ensure the safety of formulations based on Apiaceae and to control batches of raw materials.

Matrices that can be analyzed

YesWeLab laboratories support a wide range of matrices containing apiol:

• Essential oils of parsley, dill, and lovage
• Aqueous, hydroalcoholic, or oily plant extracts
• Plant powders
• Processed food products (broths, sauces, seasonings)
• Herbal food supplements
• Fragrance or flavoring ingredients
• Complex matrices requiring purification before analysis

Each matrix benefits from a tailored procedure guaranteeing reliable and reproducible quantification.

Industrial uses of dosing

Apiol analysis is particularly relevant in the following areas:

• Nutraceuticals: control of parsley extracts or preparations based on Apiaceae
• Medicinal plants: authentication and standardization
• Agri-food: quality control of flavored products
• Flavors and fragrances: characterization of aromatic compounds
• Safety and toxicology: risk assessment of exposure
• R&D: study of the volatile profiles of plant ingredients

This analysis helps to secure formulations and control the natural variability of plants.

Further analyses recommended

To obtain a complete view of the quality of the extracts and the aromatic composition, YesWeLab recommends the following analyses:

• Volatile compound analysis (GC-FID, GC-MS)
• Specific terpene analysis
• Pesticide analysis by LC-MS/MS
• Essential oil stability testing
• Spectrophotometry for total aromatic compounds
• Botanical identification of plant extracts

YesWeLab Expertise

YesWeLab has been supporting manufacturers since 2020 in managing their plant, food, and nutraceutical analyses. Thanks to a network of over 200 specialized partner laboratories equipped with advanced equipment (GC-MS, GC-FID, HPLC, LC-MS/MS, ICP-MS), we select the most suitable method and laboratory for each project.

Our scientific team supports you in:
• choosing the most relevant method
• preparing your samples
• interpreting the results
• regulatory compliance
• planning and monitoring your analyses via our digital platform

For any specific request or study, our team remains available to guide you in defining your analysis plan.

Other analyses we perform

Back to top