Request Demo

Last update 08 May 2025

Phenolsulfonphthalein

Last update 08 May 2025

Overview

R&D Status

Clinical Result

Translational Medicine

Overview

Basic Info

Drug Type

Small molecule drug, Other diagnostic agent

Synonyms

Phenol red, Phenolsulfonphthalein (JP17/NF)

Target-

Action-

Mechanism

Diagnostic dye

Therapeutic Areas-

Active Indication-

Inactive Indication-

Originator Organization-

Active Organization-

Inactive Organization-

License Organization-

Drug Highest PhaseApproved

First Approval Date-

Regulation-

Structure/Sequence

Molecular FormulaC19H14O5S

InChIKeyBELBBZDIHDAJOR-UHFFFAOYSA-N

CAS Registry143-74-8

100 Clinical Results associated with Phenolsulfonphthalein

100 Translational Medicine associated with Phenolsulfonphthalein

100 Patents (Medical) associated with Phenolsulfonphthalein

2,703

Literatures (Medical) associated with Phenolsulfonphthalein

01 May 2025·Talanta

A stretchable, adhesive, and wearable hydrogel-based patches based on a bilayer PVA composite for online monitoring of sweat by artificial intelligence-assisted smartphones

Article

Author: Ekrami, Aliakbar ; Razaghi, Zahra ; Aghaii, Amir Hossein ; Simchi, Abdolreza ; Saeidi, Mohsen ; Orouji, Mina ; Rastkhiz, MahsaSadat Adel ; Chenani, Hossein

Real-time monitoring of sweat using wearable devices faces challenges such as limited adhesion, mechanical flexibility, and accurate detection. In this work, we present a stretchable, adhesive, bilayer hydrogel-based patch designed for continuous monitoring of sweat pH and glucose levels using AI-assisted smartphones. The patch is composed of a bottom PVA hydrogel layer functionalized with colorimetric reagents and glucose oxidase enzyme, while the top PVA-sucrose layer enhances skin adhesion and protects against air moisture. The hydrogel demonstrates excellent mechanical properties with a tensile strain of 440 % and an elastic modulus of 157 kPa, providing a strong yet flexible interface with the skin. Machine learning models, including random forest (RF) and convolutional neural network (CNN), enabled accurate sweat analysis, achieving a coefficient of determination (R²) of ∼0.99 for pH (3-9) and glucose concentrations up to 0.5 mM. Validation against standard methods like HPLC confirmed the reliability of the patch. This AI-powered system offers a promising platform for next-generation wearable health monitoring devices.

01 Apr 2025·Functional Materials Letters

Fabrication of π-conjugated molecular nanoparticles for the effective photocatalytic degradation of organic dyes

Author: Wang, Yong-Xiang ; Xu, Guo-Dong ; Huang, Zhi-Heng ; Fang, Dong ; Li, Wan-Xin ; Tang, Jin-Rui ; Sun, Shi-Xin

[Formula: see text]-conjugated photocatalysts have recently gained popularity because they provide a high degree of synthetic flexibility and tenability of frontier orbital energies. Nevertheless, the majority of organic semiconductors were insoluble in aqueous solutions typically demonstrating suboptimal photocatalytic activity, limiting their deployment in visible light purification of aquatic environments. Nanoscale control of materials by dispersing [Formula: see text]-conjugated molecule 3,6-bis(5-((Z)-(3-ethyl-4-oxo-2-thioxothiazolidin-5-ylidene)methyl)thiophen-2-yl)-2,5-bis(2-ethylhexyl)-2,5-dihydropyrrolo[3,4-c]pyrrole-1,4-dione marked as DPPRD to nanoparticles (NPs) through a simple reprecipitation process provided a viable method to solve the phase interface control behavior. Transmission electron microscopy and scanning electron microscopy analysis displayed that the NPs exhibited uniform and relatively distributed morphological features. The photocatalytic elimination ability of methyl orange, phenol red, rhodamine B and methylene blue was tested using the prepared photocatalyst with extremely small amounts of NPs, and the degradation efficiencies reached 90.8%, 91.1%, 94.5% and 95.7%, respectively. This nanoscale processing strategy was conducive to the application of organic optoelectronic functional materials in environmental and industrial fields.

01 Apr 2025·Chemistry Africa

A Dual Approach to Detecting Iron Ions and Analyzing Water Quality

Author: Oflaz, Kamil ; Paramparambath, Sreedevi ; El-Shafie, Ahmed S. ; El-Azazy, Marwa ; Geetha, Mithra ; Sadasivuni, Kishor Kumar

AbstractThis research establishes the foundation for developing an IoT (internet of things)-enabled sensor developed for the rapid and precise detection of Fe ions (Fe+ 3 and Fe+ 2) in drinking water. The investigation incorporates the utilization of Phenol red (PR), Universal indicator (UI), and Eriochrome black T (EBT) dyes, revealing their effectiveness in Fe ion detection. UV-visible tests and calibration graphs determined remarkably low average detection limits and exhibited stability at varying temperatures. Their exceptional sensitivity and selectivity across all Fe ionic states are crucial for continuous monitoring and on-site testing, making them well-suited for practical applications. Moreover, the limit of detection (LOD) of Fe ions in dyes are found to be 0.0189 mM for PR dye, 0.2 mM for UI, and 0.192 mM for EBT dye solution. Validation of the procedure was achieved right through fabrication of a 3D-printed tool. The integration of RGB (Red Green Blue) analysis with the 3D-printed prototype enabled the assessment and detection of iron ions (Fe+ 3 and Fe+ 2), visually represented in a unique RGB chart. This technical progress involves notable implications for Fe detection, demonstrating its ability for using in evaluating environmental and health conditions. Additionally, this novel approach can replace well established sophisticated instruments due to their rapidity and selectivity.

100 Deals associated with Phenolsulfonphthalein

External Link

KEGG	Wiki	ATC	Drug Bank
D01200	-	V04CH03	DB13212

R&D Status

Clinical Result

Indication

Phase

Evaluation

View All Results

Translational Medicine

Boost your research with our translational medicine data.

view full example data

Deal

Boost your decision using our deal data.

view full example data

Core Patent

Boost your research with our Core Patent data.

view full example data

Clinical Trial

Identify the latest clinical trials across global registries.

view full example data

Approval

Accelerate your research with the latest regulatory approval information.

view full example data

Regulation

Understand key drug designations in just a few clicks with Synapse.

view full example data

AI Agents Built for Biopharma Breakthroughs

Accelerate discovery. Empower decisions. Transform outcomes.

Get started for free today!

Accelerate Strategic R&D decision making with Synapse, PatSnap’s AI-powered Connected Innovation Intelligence Platform Built for Life Sciences Professionals.

Start your data trial now!

Synapse data is also accessible to external entities via APIs or data packages. Empower better decisions with the latest in pharmaceutical intelligence.

Bio

Bio Sequences Search & Analysis

Chemical

Chemical Structures Search & Analysis