Development of an Accurate Double Isotopic Standard LC–MS/MS Method for Hyaluronic Acid Quantification in Biological Matrices

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Authors: Simone Manzi, Alessandra Altomare, Giacomo Mosconi, Maria Serena Rossitto, Luciano Messina, Anna Gallo, Marina Carini, Giancarlo Aldini, Giovanna Baron
Cited by: 1
References: 16

Abstract

High Resolution Image Download MS PowerPoint Slide Hyaluronic acid (HA) plays key roles in tissue hydration, repair, and cellular signaling. Its quantification in biological matrices is crucial but challenging due to its endogenous nature and poor mass spectrometric detectability. We developed a robust method based on enzymatic hydrolysis, dual 13 C-labeled internal standards, and the standard addition method combined with LC–MS/MS analysis. Samples from bovine vitreous humor and human synovial fluid were depolymerized with recombinant hyaluronidase to generate Δ4-mer oligomers, quantified using 100%- and 50%- 1 3 C-labeled HA as internal standards to correct the variabilities of the enzymatic digestion and MS detector. The standard addition method was used to control the matrix effects. The method showed excellent linearity ( r 2 > 0.99), low estimated LOD (0.147 ± 0.007 μg/mL for bovine vitreous humor and 0.143 ± 0.028 μg/mL for human synovial fluid) and LOQ (0.491 ± 0.022 μg/mL for bovine vitreous humor and 0.475 ± 0.093 μg/mL for human synovial fluid) values, high recovery (>90%), and suitable accuracy. Significant matrix effects were detected, reinforcing the need for the standard addition method. HA concentrations measured were consistent with physiological ranges. This validated strategy offers a reliable tool for HA quantification in complex biological samples, supporting both clinical and pharmaceutical applications.

Fields of Study & Subjects

Proteoglycans and glycosaminoglycans research Glaucoma and retinal disorders Hydrogels: synthesis properties applications

Publication details

Journal / source
Analytical Chemistry
Publisher
American Chemical Society (ACS)
Volume
98
Issue
7
Pages
5370–5380
Publication date
11 February 2026
Language
EN