Drug Database
PH

phenylpropanolamine (Dristan SR / Histabid / Dexatrim)

✓ Approved

Lumara Health · Small Molecule · Small Molecule

What is phenylpropanolamine?

phenylpropanolamine is a small molecule developed by Lumara Health. It is approved for therapeutic indications via oral (po).

Drug Profile

Brand NamesDristan SR, Histabid, Dexatrim
CompanyLumara Health
Drug ClassSmall Molecule
RouteOral (PO)
StatusApproved
Sources: ClinicalTrials.gov, Lumara Health

Therapeutic Indications

phenylpropanolamine is developed for 1 unique indication across 1 therapeutic area.

Therapeutic AreaConditionPhase
Respiratory, thoracic and mediastinal disordersCough✓ Approved

Related Research Articles

PubMedSmall methods2026-06-09

Room Temperature Multiferroicity in Bi-Doped ZnO Enabled by Lattice Distortion and Electronic Reconstruction.

Lee Juwon J, Kowalik Iwona Agnieszka IA, Arvanitis Dimitri D, Jo Yongcheol Y et al.

Multiferroic materials that simultaneously exhibit ferroelectric and ferromagnetic order are highly attractive for multifunctional logic, memory, and spintronic devices. Here, we demonstrate robust room temperature multiferroicity in Bi doped ZnO (ZnBi0.05O0.95) thin films grown by pulsed-laser deposition. Structural analyses using XRD, HR-TEM, and Raman spectroscopy unequivocally confirm single phase, c-axis-oriented wurtzite ZnO substitutional incorporation of Bi and no secondary phases. Ferroelectric switching behavior is verified through piezo-response force microscopy (PFM), polarization-electric field (P-E), and current-voltage (I-V) measurements, yielding a remnant polarization of 0.36 µC cm-2 and coercive field of 125 kV cm-1. Concurrently, magnetization studies reveal robust ferromagnetism persisting above 350 K. To elucidate the microscopic origin of the multiferroicity, X-ray absorption spectroscopy (XAS) and resonant inelastic X-ray scattering (RIXS) reveal a Bi-induced downward shift of O 2p band edge together with pronounced modifications in the O 2p-Zn hybridized states. These spectroscopic observations indicate Bi-driven lattice distortion, hole introduction, and emergence of spin-polarized Bi states. These cooperative structural and electronic reconstructions underpin the multiferroic response in ZnBi0.05O0.95, establishing this material as a promising silicon-compatible multiferroic semiconductor for next-generation multifunctional device technologies.

PMID 42261809
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PubMedScientific reports2026-06-09

Green synthesis of pistachio shell-derived carbon nanofibers: synergistic photocatalytic activity in TiO₂ nanocomposites.

Noormandipour Mohammadsaleh M, Hashemipour Hassan H, Ranjbar-Askari Hassan H, Ranjar-Karimi Reza R et al.

Nanofibers represent an advanced class of fibrous materials characterized by diameters typically below 500 nm. Nanofibers can be prepared from various natural and synthetic polymers. A common method for fabricating nanofibers is electrospinning. When nanoparticles are present in the polymer solution, the electrospinning product can result in nanocomposite nanofibers. These nanomaterials have numerous industrial applications, particularly as adsorbents and catalysts. In this study, nanofibers were prepared from pistachio shell as the raw material through resinification, preparation of the polymer solution, electrospinning of the polymer solution, thermal stabilization, and carbonization. The effects of various factors, including solution injection rate, applied voltage, carbonization conditions, and polymer solution concentration were investigated. The produced nanofibers were evaluated using FE-SEM, FTIR, and UV-Vis analysis. The effects of polymer solution concentration (12-40 wt%), applied voltage (14-23 kV), and polymer injection rate (0.2-1.2 mL.h- 1) on the diameter of nanofibers were experimentally examined. In the next step, nanocomposite nanofibers with TiO2 nanoparticles, were prepared, and their ability to photocatalytically degrade methylene blue was measured. Finally, to evaluate the performance of the prepared nanocomposite, the photocatalytic degradation rate of methylene blue in aqueous solution was used. A removal percentage of 98.02 ± 1.2% (mean ± SD, n = 3) was achieved using 20 mg of nanocomposite, with an initial concentration of methylene blue at 50 mg.L- 1 and a reaction contact time of 60 min. Kinetic analysis indicated that the reaction followed the pseudo-first-order model.

PMID 42260077
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PubMedFood chemistry2026-06-08

Synergistic effects of pulsed electric field and controlled freezing point storage on quality maintenance and metabolite regulation in broccoli (Brassica oleracea).

Chang Chao-Kai CK, Lee Wei-Ting WT, Tsai Sheng-Yen SY, Mulyani Rizka R et al.

Broccoli (Brassica oleracea var. italica) is limited by a short shelf life and nutrient retention during storage. This study investigates the synergy of pulsed electric field (PEF) and Controlled Freezing point (CFP) storage at -2 °C. Among the treatments, 25 kV/m PEF with CF (CFPEF25) provided superior preservation for more than 24 days. Compared with conventional refrigeration (CR), CFPEF25 maintained a color difference (ΔE) of 2.2 after 24 days, representing an 80.5% reduction. CFPEF25 maintained firmness at a level 2.41-fold higher than that of CR, while weight loss was limited to 7.42% ± 0.35%. CFPEF25 also preserved phenolics (61.03 ± 0.33 mg/g), chlorophyll (7.32 ± 0.06 mg/100 g FW), and glucosinolates (approximately 4 times higher) better than CR. Oxidative damage was mitigated, with malondialdehyde restricted to 3.17 ± 0.24 nmol/g FW. Microstructural observations confirmed a preservation of cellular integrity. In conclusion, PEFCF, specifically CFPEF25, extends broccoli shelf life via a triple mechanism: lowering nucleation temperature and regulating metabolism.

PMID 42258941
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PubMedMedical physics2026-06-08

A coincidence-based response matrix for correction of charge sharing spectral distortions in photon counting detectors.

Monaco Vincenzo V, Brombal Luca L, Delogu Pasquale P, Feruglio Alessandro A et al.

Charge sharing between pixels distorts the count and spectral information of X-ray photon counting detectors. Compensation methods for charge sharing effects are required to exploit the full potentiality of these detectors in medical diagnosis. A statistical method is proposed to correct charge sharing effects in a pixellated photon counting detector by applying a spectral response matrix determined with a coincidence-based acquisition. The technique is based on a preliminary calibration with a uniform irradiation and an arbitrary polychromatic spectrum, during which the number of coincidences between a pixel and its eight neighbours are collected for different combinations of energy bins. A coincidence-based response matrix (CBRM) is determined and afterwards applied to correct other spectra acquired with the same detector and conventional multi-comparator electronics. The technique was validated with Geant4 Monte Carlo simulations of a 1 mm thick CdTe detector and with data collected with a pixel hybrid detector consisting of a 300 μ m $\umu{\rm m}$ thick silicon sensor readout by a Timepix4 chip. The effect of pulse pileup was not analyzed in this study. The response matrix restores the spectral information with a performance comparable to analog charge summing (ACS) algorithms. For example, for a simulation of a spectrum from a 120 kV X-ray tube attenuated by a solution of water and iodine and a CdTe detector with a pixel size of 200 µm, the mean absolute percentage errors (MAPE) from the comparison of the corrections with an ideal spectrum are 20.0% for the CBRM method and 22.8% for ACS. The ACS method is more sensitive to electronic noise than the CBRM correction, thus requiring a higher noise discrimination threshold. For experimental acquisitions of monochromatic spectra with the silicon sensor, the mean values and standard deviations of Gaussian fits of the restored energy peaks provide results close to those from a clustering algorithm based on 3 × $\times$ 3 pixel blocks. The MAPE value from the comparison of the CBRM correction and clustering distributions for a polychromatic spectrum of an X-ray tube at 50 kV attenuated by an Ag solution is 6.2% It is also shown that a CBRM matrix determined with a fine division of the energy range can be adapted to match a lower number of energy bins employed for subsequent acquisitions without affecting the accuracy of the spectrum correction. A preliminary reconstruction of a nonuniform irradiation demonstrates the potentiality of the method to restore general spectral images. The proposed method allows the experimental determination of a response matrix which is independent of physics models or parameterizations and is realizable with a simple coincidence electronic circuit involving a limited number of pixels in a calibration stage. With respect to ACS techniques, the application of the response matrix requires only the number of counts collected with existing readout systems with multiple comparators, without introducing additional dead-times during the acquisition.

PMID 42253218
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PubMedPloS one2026-06-08

Synergic effect of dielectric barrier discharge plasma and hydrodynamic cavitation on decolorization of methylene blue.

Ahadi Ahmad A, Zali Amirhossein A, Ghorbanalilu Mohammad M, Ghomi Hamid H

The growing demand for efficient and sustainable wastewater treatment technologies has driven the development of advanced oxidation processes (AOPs) that combine multiple physical and chemical mechanisms. In this study, we introduce a novel hybrid system that integrates Dielectric Barrier Discharge (DBD) plasma with Hydrodynamic Cavitation (HDC) to achieve rapid decolorization of Methylene Blue (MB) in both distilled and tap water. Experimental conditions included applied AC voltages ranging from 7 to 12 kV and initial MB concentrations of 10-40 mg/L, with samples collected over treatment times up to 15 minutes. Complete decolorization was consistently achieved within 15 minutes, with ~80% removal typically occurring in less than 5 minutes. Notably, the energy utilization efficiency for the most concentrated solution (40 mg/L) at full decolorization reached 4.6 g/kWh, surpassing previously reported values (<4 g/kWh). Direct plasma-cavitation coupling (direct DBD-HDC mode) outperformed the indirect configuration, highlighting the synergistic effects of simultaneous microbubble cavitation and plasma-generated reactive oxygen species (ROS). Optical Emission Spectroscopy (OES) confirmed the presence of key oxidants such as hydroxyl radicals (•OH), which play a dominant role in dye degradation. These findings establish DBD-HDC hybridization as a powerful and energy-efficient AOP, with strong potential for scalable application in wastewater treatment and other environmental remediation processes.

PMID 42258442
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PubMedEuropean radiology experimental2026-06-08

The impact of a novel deep learning reconstruction algorithm on image quality in ultralow-dose CT: a quantitative phantom study.

Su Tong T, Jia Yongjun Y, Shen Yun Y, Zhang Huairong H

The aim of this study is to evaluate the performance of a novel deep learning image reconstruction (DLIR) algorithm in noise reduction, contrast-to-noise ratio (CNR), and low iodine concentration detection for ultralow-dose computed tomography (CT) imaging. A nine-hole phantom with iodine concentrations (0-40 mg/mL) was scanned at various tube voltages (60-120 kVp). Images were reconstructed using filtered back projection (FBP), iterative reconstruction (IR), and DLIR at different weight levels (10%-90%). Objective metrics (noise, CNR, CT value accuracy via Bland-Altman analysis) and subjective image quality were assessed. At all tube voltages (60-120 kVp), DLIR with medium-to-high weight levels (50%-90%) reduced background noise and increased CNR compared with FBP and IR (p < 0.001). The CNR at a low iodine concentration (1.25 mg/mL) was enhanced, and the DLIR algorithm (weight levels 30%-90%) was able to continuously detect an iodine concentration of 1.25 mg/mL (CNR ≥ 3) at all tube voltages. Under fixed ultralow-dose conditions, DLIR preserved image quality and low-contrast detectability. DLIR (weight levels 90%) reduced background noise by 84.7% compared with FBP and improved CNR (p < 0.001). Bland-Altman analysis confirmed excellent quantitative accuracy for DLIR. The exploratory subjective evaluation was consistent with objective metrics. The DLIR algorithm can enhance image quality in low-dose CT imaging and improve the ability to detect low concentrations of iodine. These findings demonstrate that DLIR maintains image quality and CNR at low iodine concentrations in phantom studies. Clinical implications require further validation. This phantom study shows that the deep learning reconstruction algorithm can still maintain the diagnostic image quality and low-contrast detectability even under ultralow-dose CT (94% dose reduction). These findings support further clinical research to optimize the dosage regimens and potentially reduce the use of iodine contrast agents. Under ultralow-dose conditions (60 kV), DLIR preserved image quality metrics and detectability thresholds in a phantom under ultralow-dose conditions. It significantly suppressed image noise and improved the CNR. The algorithm reliably detected low iodine concentrations (1.25 mg/mL) at all dose levels.

PMID 42257775
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