Surface enhanced Raman scattering microtips for microenvironment pH determination of semi-solid preparations

Abstract

Semi-solid preparations such as ointments, creams, gels, and pastes are common topical dosage forms with complex compositions and microstructures. pH is a critical quality attribute for semi-solid preparations, affecting properties such as particle size distribution, drug dissociation state, and rheological behavior. Currently, traditional pH electrode methods only provide an "average" pH for large-volume matrices, with low spatial resolution and accuracy. Microenvironment pH detection is crucial for accurately assessing semi-solid preparations. Herein, we developed pH-sensitive surface enhanced Raman scattering (SERS) microtips to achieve localized pH detection in semi-solid preparations. SERS microtips were prepared from glass needles with a tip size around 1 μm and gold nanoparticles (Au NPs) grown in situ on glass surfaces for SERS enhancement. 4-mercaptopyridine was selected as pH sensitive Raman reporter and immobilized on t Au NPs, exhibiting characteristic Raman peak shifts within the pH range of 3-10. The SERS microtips were employed to conduct highly sensitive pH measurements in localized areas of 15 commercial ointments, 8 gels, and 1 laboratory-made ointment, providing higher spatial resolution and microenvironment differentiation compared to pH meters. The SERS microtips were used to monitor pH changes over time in ointment applied to localized wounds on live mice. This work introduces a new tool for pH detection in semi-solid preparations, offering new method to enhance the prescription process and quality assessment of complex preparations like topical semi-solid preparations.

Supplementary files

Article information

Article type
Paper
Submitted
14 ag. 2024
Accepted
20 set. 2024
First published
21 set. 2024

Anal. Methods, 2024, Accepted Manuscript

Surface enhanced Raman scattering microtips for microenvironment pH determination of semi-solid preparations

X. Lu, Y. Wang, R. Mei, X. Chong, L. Chen, B. Ning, R. Zhang and X. Zhuang, Anal. Methods, 2024, Accepted Manuscript , DOI: 10.1039/D4AY01523A

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