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Understanding the interactions between lipid membranes and nucleotide drugs is crucial for nucleic acid therapy. Although several methods have been employed to evaluate nucleotide-lipid membrane interactions, these interactions can be complex; this complexity arises from how external factors, such as ionic strength or temperature, influence the lipid membrane's overall properties. In this study, we prepared a lipid membrane-immobilized monolithic silica (LMiMS) column for high-performance liquid chromatography (HPLC) analysis to understand interactions between the lipid membrane and nucleic acid.

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Mid-infrared spectra of dried and roasted cocoa ( L.): A dataset for machine learning-based classification of cocoa varieties and prediction of theobromine and caffeine content.

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February 2025

Centro Surcolombiano de Investigación en Café (CESURCAFÉ), Departamento de Ingeniería Agrícola, Universidad Surcolombiana, Neiva-Huila 410001, Colombia.

This paper presents a comprehensive dataset of mid-infrared spectra for dried and roasted cocoa beans ( L.), along with their corresponding theobromine and caffeine content. Infrared data were acquired using Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) spectroscopy, while High-Performance Liquid Chromatography (HPLC) was employed to accurately quantify theobromine and caffeine in the dried cocoa beans.

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