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ObjectiveTemporal heterogeneity in lung cancer presents as fluctuations in the biological characteristics, genomic mutations, proliferation rates, and chemotherapeutic responses of tumor cells over time, posing a significant barrier to effective treatment. The complexity of this temporal variance, coupled with the spatial diversity of lung cancer, presents formidable challenges for research. This article will pave the way for new avenues in lung cancer research, aiding in a deeper understanding of the temporal heterogeneity of lung cancer, thereby enhancing the cure rate for lung cancer. MethodsRaman spectroscopy emerges as a powerful tool for real-time surveillance of biomolecular composition changes in lung cancer at the cellular scale, thus shedding light on the disease’s temporal heterogeneity. In our investigation, we harnessed Raman spectroscopic microscopy alongside multivariate statistical analysis to scrutinize the biomolecular alterations in human lung epithelial cells across various timeframes after benzo(a)pyrene exposure. ResultsOur findings indicated a temporal reduction in nucleic acids, lipids, proteins, and carotenoids, coinciding with a rise in glucose concentration. These patterns suggest that benzo(a)pyrene induces structural damage to the genetic material, accelerates lipid peroxidation, disrupts protein metabolism, curtails carotenoid production, and alters glucose metabolic pathways. Employing Raman spectroscopy enabled us to monitor the biomolecular dynamics within lung cancer cells in a real-time, non-invasive, and non-destructive manner, facilitating the elucidation of pivotal molecular features. ConclusionThis research enhances the comprehension of lung cancer progression and supports the development of personalized therapeutic approaches, which may improve the clinical outcomes for patients.
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Under the guidance of Chinese Pharmacopoeia (2020 edition), the functionality-related characteristics of hydroxypropyl methylcellulose (HPMC) type 2208 from imported A manufacturer, domestic S manufacturer, domestic T manufacturer and different batches of the same manufacturer were characterized. The principal component analysis was used to comprehensively evaluate the functionality-related characteristics. The results were as follows: hydroxypropyl methylcellulose had no significant difference in viscosity and molecular weight distribution between different manufacturers, and there were significant differences in the cumulative particle size distribution of the sample reaches 50% (d50) and 90% (d90), bulk density, tap density and Carr's index. The HPMC from A manufacturer have the biggest inter-batch difference of particle size and their inter-batch difference of polydispersion coefficientis smaller than S manufacturer. Domestic manufactures have the largest inter-batch difference in other functionality-related characteristics. The three principal components were extracted by principal component analysis, and the variance contribution rate reached 89.44%, indicating that the extracted principal components can explain all the data well. By constructing a comprehensive evaluation model, the comprehensive score ranking of all HPMC samples is obtained: S manufacturer > A manufacturer > T manufacturer.