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chloroxylenol + pramoxine hydrochloride + zinc acetate (Zinotic)

✓ Approved

Arbor Pharmaceuticals, LLC · Small Molecule · Small Molecule

What is chloroxylenol + pramoxine hydrochloride + zinc acetate?

chloroxylenol + pramoxine hydrochloride + zinc acetate is a small molecule developed by Arbor Pharmaceuticals, LLC. It is approved for therapeutic indications via others or topical.

Drug Profile

Brand NamesZinotic
CompanyArbor Pharmaceuticals, LLC
Drug ClassSmall Molecule
RouteOthers, Topical
StatusApproved

Therapeutic Indications

chloroxylenol + pramoxine hydrochloride + zinc acetate is developed for 2 unique indications across 2 therapeutic areas.

Therapeutic AreaConditionPhase
Infections and infestationsOtitis externa✓ Approved
Ear and labyrinth disordersExternal ear inflammation✓ Approved

Related Research Articles

PubMedJournal of AOAC International2026-10-22

Development of a Simple and Rapid HPLC-UV Method for Simultaneous Determination of Ciprofloxacin Hydrochloride and Oxytetracycline Hydrochloride in Aqueous Matrix.

Soon Wan Chi WC, Bin Abdullah Ahmad Zuhairi AZ, Mohd Din Azam Taufik AT

Reliable and effective methods capable of simultaneously determining ciprofloxacin hydrochloride (CIP) and oxytetracycline hydrochloride (OTC) can be useful when concentrations fall within the validated working range. This study aimed to develop and validate a simple and rapid reversed-phase high-performance liquid chromatography with ultraviolet detection (RP-HPLC-UV) method for simultaneous determination of CIP and OTC in aqueous matrices. The separation was performed using an Agilent InfinityLab Poroshell 120 EC-C18 column (150 × 4.6 mm, 4 μm) with a mobile phase consisting of 0.1% formic acid and acetonitrile at a flow rate of 1.0 mL/min. The method was validated for linearity, precision, selectivity, recovery, sensitivity, robustness and system suitability. Matrix performance was assessed using fortified lake-water samples. Linearity over the concentration range of 10-25 mg/L, with R² values of 0.9947 for OTC and 0.9923 for CIP was achieved. The LOD values were 1.40 mg/L for OTC and 1.69 mg/L for CIP, while the corresponding LOQ values were 4.24 and 5.11 mg/L, respectively. Peak-area RSDs were below 1% in both intraday and interday precision studies. Recoveries in fortified lake water ranged from 91.12-109.13% for OTC and 82.88-107.72% for CIP and from 95.84-104.91% and 89.56-112.88%, respectively, in interday analysis. Robustness testing showed that satisfactory chromatographic separation was maintained under the investigated variations in flow rate, column temperature, and detection wavelength. The HPLC-UV approach was applicable for the simultaneous determination of CIP and OTC in aqueous samples containing relatively elevated concentrations of the target antibiotics. The method is not intended for direct trace-level determination in typical environmental waters without an appropriate preconcentration step. A simple RP-HPLC-UV method was developed for the simultaneous determination of CIP and OTC. The method is applicable to aqueous samples containing relatively elevated antibiotic concentrations.

PubMedSmall (Weinheim an der Bergstrasse, Germany)2026-10-22

CO2 Laser-Synthesized NiCoCu Borate Enables Efficient Nitrate-to-Ammonia Electrosynthesis and Durable Zinc-Nitrate Batteries.

Cherusseri Jayesh J, Bharadwaj Nivarthi Rajiv NR, Pimbaotham Pimjai P, Park Chae Eun CE et al.

The electrocatalytic NO3 - reduction reaction (eNO3RR) is a facile and green method for the generation of electricity with the simultaneous production of NH3. Herein, we report the synthesis of hierarchical nickel-cobalt-copper borate ((Ni1/3Co1/3Cu1/3)3B2O6) nanosheets via a carbon dioxide (CO2) laser irradiation method and investigate their eNO3RR performance in a 1 m KOH electrolyte containing 0.1 m KNO3. Initially, (Ni1/3Co1/3Cu1/3)3B2O6 is synthesized via CO2 laser irradiation within a short processing period of 1 min, where this method enables a rapid material synthesis compared with conventional methods, such as hydrothermal, solvothermal, and wet-chemical approaches. The (Ni1/3Co1/3Cu1/3)3B2O6 catalyst achieves a maximum NH3 yield rate of 4.1 mg h-1 cm-2 and a Faradaic efficiency of 90.69% at -0.3 V vs. the reversible hydrogen electrode. In-depth analysis of eNO3RR kinetics using in situ Raman, ex situ X-ray diffraction, and ex situ Fourier transform infrared spectroscopy reveals information on the reaction intermediates and reaction pathways involved. Extended density functional theory calculations further corroborate the experimental findings related to reaction intermediates and pathways during the eNO3RR. A zinc (Zn)-NO3 - battery assembled using (Ni1/3Co1/3Cu1/3)3B2O6 as the cathode and a Zn plate as the anode exhibits an open-circuit voltage of 1.44 V at 12 mA cm-2.

PubMedBiomedicines2026-10-21

Correction: Alhoqail et al. Husk-like Zinc Oxide Nanoparticles Induce Apoptosis through ROS Generation in Epidermoid Carcinoma Cells: Effect of Incubation Period on Sol-Gel Synthesis and Anti-Cancerous Properties. Biomedicines 2023, 11, 320.

Alhoqail Wardah A WA, Alothaim Abdulaziz S AS, Suhail Mohd M, Iqbal Danish D et al.

In the original publication [...].

PubMedAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026-10-21

MZF1 Inhibits TGFβ-1/SMAD Signaling by Transcriptionally Activating SnoN to Augment Tumorigenic Potential in Colon Cancer.

Sheng Siqi S, Huang Mengxi M, Wang Yiting Y, Wang Hongyu H et al.

Colon cancer progression is associated with transcriptional and signaling abnormalities. MZF1, linked to leukemogenesis, has an unclear role in colon cancer. This study examined its function in colon tumorigenesis and signaling-targeted therapies. Multi-omics (RNA-seq, CUT&Tag) identified MZF1 targets, validated in vitro/in vivo using xenografts and epithelial-specific MZF1 knockout mice. Virtual screening found MZF1 inhibitors. MZF1 activated SnoN transcription, suppressing TGF-β/SMAD signaling. Overexpression enhanced proliferation and colony formation; knockdown reversed these. In vivo, MZF1-overexpressing xenografts grew faster with more Ki67+ cells, while MZF1-/- mice had reduced tumor burden. Organoids from MZF1-/- mice grew poorly. 10Panx Acetate, an MZF1 inhibitor, disrupted MZF1-SnoN interaction, inhibiting cell and xenograft growth. Our results indicate MZF1 as a key colon cancer regulator via SnoN-mediated TGF-β pathway suppression and suggest 10Panx Acetate for precision therapy. MZF1/SnoN co-expression may predict aggressive disease.

PubMedEnvironmental monitoring and assessment2026-10-21

A simple single-reagent colorimetric method for arsenic speciation analysis: application to the Dongargarh-Kotri region, Central India.

Ganveer Swati S, Pruseth Kamal Lochan KL

In this study, a simple colorimetric method was developed using cupric acetate monohydrate to detect and differentiate arsenic species in groundwater in the Dongargarh-Kotri region, Chhattisgarh, Central India. The method produced precipitate that was distinctly green for As(III) and blue for As(V). The method achieved a detection limit of 5.5  μ g L - 1 in collected groundwater samples and required only one reagent, without any pre- or post-treatment steps. This method also offers a semi-quantitative estimation of the relative proportions of As(III) and As(V). The successful application of this method to contaminated groundwater samples demonstrates its potential as a rapid, low-cost, and field-deployable screening tool for arsenic speciation and monitoring in resource-limited regions.

PubMedNature communications2026-10-21

Scalable molecular representations enabled by multimodal fusion and sequence distillation.

Kumar Suvendu S, Solanki Saveena S, Gupta Mudit M, Chauhan Sonam S et al.

Molecular prediction depends on how chemical structures are represented, yet descriptors capture only partial aspects of chemical information. Here, we show that the Chemical Dice Integrator combines six complementary molecular views spanning physicochemical properties, molecular topology, two-dimensional structural images, bioactivity profiles, quantum properties, and molecular language into a unified latent space. This multimodal representation is distilled into a sequence-based model that generates the embedding directly from molecular strings. Across classification and regression benchmarks, the representation outperformed classical fusion methods, matched or improved established molecular descriptors, retained complete embedding coverage when individual feature-generation pipelines failed, and supported efficient inference. Scaffold-based and low-data evaluations showed stable generalization across chemical space and improved utility under limited data. The framework also prioritized compounds predicted to protect genome stability, leading to experimental validation of isoeugenol and eugenyl acetate in a yeast damage-response assay. These findings establish a scalable framework for molecular prediction and discovery.

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