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This study aimed to explore more efficient ways of administering caffeine to the body by investigating the impact of caffeine on the modulation of the nervous system's activity through the analysis of electrocardiographic signals (ECG). An ECG non-linear multi-band analysis using Discrete Wavelet Transform (DWT) was employed to extract various features from healthy individuals exposed to different caffeine consumption methods: expresso coffee (EC), decaffeinated coffee (ED), Caffeine Oral Films (OF_caffeine), and placebo OF (OF_placebo). Non-linear feature distributions representing every ECG minute time series have been selected by PCA with different variance percentages to serve as inputs for 23 machine learning models in a leave-one-out cross-validation process for analyzing the behavior differences between ED/EC and OF_placebo/OF_caffeine groups, respectively, over time. The study generated 50-point accuracy curves per model, representing the discrimination power between groups throughout the 50 min. The best model accuracies for ED/EC varied between 30 and 70 %, (using the decision tree classifier) and OF_placebo/OF_caffeine ranged from 62 to 84 % (using Fine Gaussian). Notably, caffeine delivery through OFs demonstrated effective capacity compared to its placebo counterpart, as evidenced by significant differences in accuracy curves between OF_placebo/OF_caffeine. Caffeine delivery via OFs also exhibited rapid dissolution efficiency and controlled release rate over time, distinguishing it from EC. The study supports the potential of caffeine delivery through Caffeine OFs as a superior technology compared to traditional methods by means of ECG analysis. It highlights the efficiency of OFs in controlling the release of caffeine and underscores their promise for future caffeine delivery systems.
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http://dx.doi.org/10.1016/j.heliyon.2024.e31721 | DOI Listing |
Int J Pharm
December 2024
Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC 27710; Department of Chemistry and Biochemistry, North Carolina Central University, Durham, NC 27707. Electronic address:
Int J Mol Sci
November 2024
Thammasat University Research Unit in Smart Materials and Innovative Technology for Pharmaceutical Applications (SMIT-Pharm), Faculty of Pharmacy, Thammasat University, Pathumthani 12120, Thailand.
Int J Mol Sci
November 2024
Department of Biotechnology, Institute of Biotechnology, School of Life and Applied Sciences, Yeungnam University, Gyeongsan 38541, Republic of Korea.
Natural caffeine is found in many plants, including coffee beans, cacao beans, and tea leaves. Around the world, many beverages, including coffee, tea, energy drinks, and some soft drinks, have this natural caffeine compound. This paper reviewed the results of meta-studies on caffeine's effects on chronic diseases.
View Article and Find Full Text PDFResuscitation
November 2024
Department of Neonatology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India. Electronic address:
Rationale: The ideal choice of initial fraction of inspired oxygen (FiO) to stabilize preterm neonates in the delivery room (DR) is not well-established.
Objective: To compare the effects of different initial FiO in neonates < 34 weeks' gestation requiring respiratory support for DR stabilization.
Methods: In this open-labeled, assessor-blinded, parallel-group randomized controlled trial, 150 neonates were allocated to initiate DR-stabilization with 60 % (n = 75) versus 30 % (n = 75) FiO, followed by titration to peripheral oxygen saturation (SpO) targets.
Clocks Sleep
November 2024
Guangdong Provincial Biotechnology Research Institute (Guangdong Provincial Laboratory Animals Monitoring Center), Guangzhou 510663, China.
The effect of caffeine on the behavior and sleep patterns of zebrafish larvae, as well as its underlying mechanisms, has been a topic of great interest. This study aimed to investigate the impact of caffeine on zebrafish larval sleep/wake behavior and the expression of key regulatory genes such as cAMP-response element binding protein (CREB) and adenosine (ADA) in the sleep pathway. To begin, the study determined the optimal dose and duration of caffeine exposure, with the optimal doses found to be 31.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!