Claim Missing Document
Check
Articles

Found 2 Documents
Search

Chemometric-empowered spectroscopic techniques in pharmaceutical fields: A bibliometric analysis and updated review Zulkifli, Baidillah; Fakri, Fajar; Odigie, Joan; Nnabuife, Loveday; Isitua, Chinwe C.; Chiari, Williams
Narra X Vol. 1 No. 1 (2023): April 2023
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v1i1.80

Abstract

Undeniable increase in pharmaceutical demand has encouraged researchers to develop analytical techniques to analyze drugs and monitor their effects. Chemometrics enabled simple spectroscopic approaches (such as infrared or UV spectroscopy) to analyze complex samples, including drug formulations, excreted fluids and tissues of living organisms. The aim of this study was to evaluate the research trend of this combinatorial technique utilized for pharmaceutical-related sample analysis using a bibliometric analysis. Bibliometric data of published literature from the Scopus database on March 14, 2023 were retrieved using the keyword combinations of "multivariate", "chemometrics", "pattern recognition", "drug", "pharmaceutical" and "spectroscopy". Network visualization analysis was performed using VOSviewer on the co-occurring keywords and authorships, presenting data such as top cited papers (n=10). The literature review was performed based on the research trend revealed by the clusters that emerged in the network visualization. The analysis revealed that the first paper was published in 1973 (n=1) and a total of 3544 records have been published as of March 14, 2023, comprising original research articles (n=3144, 88.71%) and review articles (n=232, 6.55%). The keyword “chemometrics” with Total Link Strength (TLS) of 826 emerged as the most abundant, followed by “metabolomics” (TLS=388), “Raman spectroscopy” (TLS=280), “metabonomics” (TLS=272), “nuclear magnetic resonance” or “NMR” (TLS=271), and “multivariate analysis” (TLS=254). Network visualization revealed that the research falls into two general categories: (1) drug toxicity and efficacy monitoring and (2) quality control of drug manufacturing. The top cited paper (n=3269) was a review article published in 1999 describing the utility of nuclear magnetic resonance combined with multivariate statistics for metabolite profiling of biological samples. The chemometric-empowered spectroscopy techniques were expected to provide objective measurement during clinical studies and monitoring of therapeutic effects.
Staphylococcus hominis and facial aging Rahmayani, Dian; Yulia, Winda; Zulkarnain, Zulkarnain; Odigie, Joan
Trends in Infection and Global Health Vol 4, No 1 (2024): June 2024
Publisher : School of Medicine, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/tigh.v4i1.39739

Abstract

Skin aging is a natural process that manifests prominently in facial skin. Key indicators of facial skin aging include sagging skin, wrinkles, hyperpigmentation, and decreased hydration. Understanding these signs is crucial for both clinical and cosmetic applications. This review focuses on the skin microbiome, with a particular emphasis on Staphylococcus hominis, a commensal bacterium that plays a significant role in the skin aging process. The objective of this article is to consolidate scientific evidence from various studies to elucidate the relationship between the skin microbiome, especially S. hominis, and the manifestations of skin aging. Through this comprehensive review, we aim to provide insights into the potential of targeting the skin microbiome for anti-aging interventions and enhance our understanding of the complex interactions between skin health and its microbial inhabitants.