ArticleACS omega2024
Comparing the Greenness and Validation Metrics of Traditional and Eco-Friendly Stability-Indicating HPTLC Methods for Ertugliflozin Determination.
Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Self-Adhesive Mask and Homemade Carbon Ink: Turning Unusable Screen-Printed Electrodes into a New Voltammetric Sensor.ACS omega · 2026Article
- Ultrasensitive, green molecularly-imprinted poly(o-phenylenediamine) sensor on pencil graphite for trace ertugliflozin quantification in plasma and tablets.BMC chemistry · 2025Article
- Green Extraction Tree: A Novel Tool to Greenness Metric for Green Extraction of Natural Products.ACS omega · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The literature does not provide any "high-performance thin-layer chromatographic (HPTLC)" techniques for the determination of a novel antidiabetic medicine, ertugliflozin (ERZ). Additionally, there are not many environmentally friendly analytical methods for ERZ measurement in the literature. A rapid, sensitive, and eco-friendly reversed-phase-HPTLC (RP-HPTLC) method was designed and validated in an attempt to analyze ERZ in marketed pharmaceutical tablets more precisely, accurately, and sustainably over the traditional normal-phase HPTLC (NP-HPTLC) method. The stationary phases used in the NP- and RP-HPTLC procedures were silica gel 60 NP-18F254S and 60 RP-18F254S plates, respectively. For NP-HPTLC, a chloroform/methanol (85:15 v/v) mobile phase was used. However, ethanol-water (80:20 v/v) was the preferred method for RP-HPTLC. Four distinct methodologies, including the National Environmental Method Index (NEMI), Analytical Eco-Scale (AES), ChlorTox, and Analytical GREEnness (AGREE) approaches, were used to evaluate the greenness of both procedures. For both approaches, ERZ detection was carried out at 199 nm. Using the NP- and RP-HPTLC techniques, the ERZ measurement was linear in the 50-600 and 25-1200 ng/band ranges. The RP-HPTLC method was found to be more robust, accurate, precise, linear, sensitive, and eco-friendly compared to the NP-HPTLC approach. The results of four greenness tools demonstrated that the RP strategy was greener than the NP strategy and all other reported HPLC techniques. The fact that both techniques can assess ERZ when its degradation products are present implies that they both have characteristics that point to stability-indicating features. 87.41 and 99.28%, respectively, were the assay results for ERZ in commercial tablets when utilizing the NP and RP procedures. Based on several validation and greenness metrics, it was determined that the RP-HPTLC approach was better than the NP-HPTLC method. As a result, it is possible to determine ERZ in pharmaceutical products using the RP-HPTLC approach.
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.