Research Progress of Raman Spectroscopy and Raman Imaging in Pharmaceutical
Analysis

Ren, Jie; Mao, Shijie; Lin, Jidong; Xu, Ying; Zhu, Qiaoqiao

doi:10.2174/1381612828666220518145635

Cited by 11 publications

(7 citation statements)

References 93 publications

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“…50 RS can be used to analyze the interaction of drug delivery systems with cells by measuring the spontaneous Raman response from the drug delivery systems and cellular components such as lipids, proteins, and nucleic acids. 24,51,52 Contemporary confocal Raman microscopy boasts exceptional high-resolution imaging capabilities, facilitating the simultaneous detection of multiple cellular compartments without the need for labeling. 14,[53][54][55] The RS fingerprint contains various biochemical peaks of cellular components, including lipids, cytoplasm, and nucleic acids.…”

Section: Raman Technology Spontaneous Raman Scattering (Rs)mentioning

confidence: 99%

Strategies and Progress of Raman Technologies for Cellular Uptake Analysis of the Drug Delivery Systems

Liu,

Li,

Liu

et al. 2023

IJN

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Nanoparticle (NP)-based drug delivery systems have the potential to significantly enhance the pharmacological and therapeutic properties of drugs. These systems enhance the bioavailability and biocompatibility of pharmaceutical agents via enabling targeted delivery to specific tissues or organs. However, the efficacy and safety of these systems are largely dependent on the cellular uptake and intracellular transport of NPs. Thus, it is crucial to monitor the intracellular behavior of NPs within a single cell. Yet, it is challenging due to the complexity and size of the cell. Recently, the development of the Raman instrumentation offers a versatile tool to allow noninvasive cellular measurements. The primary objective of this review is to highlight the most recent advancements in Raman techniques (spontaneous Raman scattering, bioorthogonal Raman scattering, coherence Raman scattering, and surfaceenhanced Raman scattering) when it comes to assessing the internalization of NP-based drug delivery systems and their subsequent movement within cells.

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Section: Raman Technology Spontaneous Raman Scattering (Rs)mentioning

confidence: 99%

Strategies and Progress of Raman Technologies for Cellular Uptake Analysis of the Drug Delivery Systems

Liu,

Li,

Liu

et al. 2023

IJN

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“…The application of different spectroscopies has a wide range of uses, such as in materials science, biology, and chemistry, among others. Medical applications of spectroscopy have also been explored, including in the detection and characterization of disorders, such as malignant tumors or the assessment of tumor resection margins [ 50 , 51 , 52 ].…”

Section: Spectroscopy For the Intraoperative Assessment Of The Resect...mentioning

confidence: 99%

Intraoperative Assessment of Resection Margin in Oral Cancer: The Potential Role of Spectroscopy

Vlocskó,

Piffkó,

Janovszky

2023

Cancers

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In parallel with the increasing number of oncological cases, the need for faster and more efficient diagnostic tools has also appeared. Different diagnostic approaches are available, such as radiological imaging or histological staining methods, but these do not provide adequate information regarding the resection margin, intraoperatively, or are time consuming. The purpose of this review is to summarize the current knowledge on spectrometric diagnostic modalities suitable for intraoperative use, with an emphasis on their relevance in the management of oral cancer. The literature agrees on the sensitivity, specificity, and accuracy of spectrometric diagnostic modalities, but further long-term prospective, multicentric clinical studies are needed, which may standardize the intraoperative assessment of the resection margin and the use of real-time spectroscopic approaches.

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“…The study of pharmacology, toxicity, and localization of a drug in target tissues is an important area of research in pharmaceutical sciences. [1][2][3] Imaging analyses of dosed tissue samples can provide insight into the spatial domain, where both morphological and molecular information can be acquired depending on the imaging technique. Morphological imaging techniques allow for the visualization of different structures in the tissue and molecular imaging techniques provide biochemical information such as metabolite and protein expression.…”

Section: Introductionmentioning

confidence: 99%

A multi-modal image fusion workflow incorporating MALDI imaging mass spectrometry and microscopy for the study of small pharmaceutical compounds

Liang,

Guo,

Sharma

et al. 2024

Preprint

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Multi-modal imaging analyses of dosed tissue samples can provide more comprehensive insight into the effects of a therapeutically active compound on a target tissue compared to single-modal imaging. For example, simultaneous spatial mapping of pharmaceutical compounds and endogenous macromolecule receptors is difficult to achieve in a single imaging experiment. Herein, we present a multi-modal workflow combining imaging mass spectrometry with immunohistochemistry (IHC) fluorescence imaging and brightfield microscopy imaging. Imaging mass spectrometry enables direct mapping of pharmaceutical compounds and metabolites, IHC fluorescence imaging can visualize large proteins, and brightfield microscopy imaging provides tissue morphology information. Single-cell resolution images are generally difficult to acquire using imaging mass spectrometry, but are readily acquired with IHC fluorescence and brightfield microscopy imaging. Spatial sharpening of mass spectrometry images would thus allow for higher fidelity co-registration with higher resolution microscopy images. Imaging mass spectrometry spatial resolution can be predicted to a finer value via a computational image fusion workflow, which models the relationship between the intensity values in the mass spectrometry image and the features of a high spatial resolution microscopy image. As a proof of concept, our multi-modal workflow was applied to brain tissue extracted from a Sprague Dawley rat dosed with a kratom alkaloid, corynantheidine. Four candidate mathematical models including linear regression, partial least squares regression (PLS), random forest regression, and two-dimensional convolutional neural network (2-D CNN), were tested. The random forest and 2-D CNN models most accurately predicted the intensity values at each pixel as well as the overall patterns of the mass spectrometry images, while also providing the best spatial resolution enhancements. Herein, image fusion enabled predicted mass spectrometry images of corynantheidine, GABA, and glutamine to approximately 2.5 μm spatial resolutions, a significant improvement compared to the original images acquired at 25 μm spatial resolution. The predicted mass spectrometry images were then co-registered with an H&E image and IHC fluorescence image of the μ-opioid receptor to assess co-localization of corynantheidine with brain cells. Our study also provides insight into the different evaluation parameters to consider when utilizing image fusion for biological applications.

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Research Progress of Raman Spectroscopy and Raman Imaging in Pharmaceutical Analysis

Cited by 11 publications

References 93 publications

Strategies and Progress of Raman Technologies for Cellular Uptake Analysis of the Drug Delivery Systems

Strategies and Progress of Raman Technologies for Cellular Uptake Analysis of the Drug Delivery Systems

Intraoperative Assessment of Resection Margin in Oral Cancer: The Potential Role of Spectroscopy

A multi-modal image fusion workflow incorporating MALDI imaging mass spectrometry and microscopy for the study of small pharmaceutical compounds

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