ArticleJournal of pharmaceutical analysis2025
Greenness evaluation metric for analytical methods and software.
Article in Journal of pharmaceutical analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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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
17 citing papers in PubMed.
- Design-Assisted Chemometric UV Spectrophotometric Determination of Candesartan Cilexetil, Chlorthalidone and Amlodipine Using Principal Component Regression, Partial Least Squares and Genetic Algorithm-Partial Least Squares Models.Analytical science advances · 2026Article
- Synergistic integration of μ-SPE and ammoniated adduct-based MRM for sensitive UPLC-MS/MS quantification of PEG1000: a comparative study against in-source CID and application to zebrafish tissue distribution.Analytical and bioanalytical chemistry · 2026Article
- Article
- Green Solvent-Based Dispersive Liquid-Liquid Microextraction Method Coupled with High-Performance Liquid Chromatography for the Determination of Triazole Fungicides in Cereal Samples.Foods (Basel, Switzerland) · 2026Article
- Article
- AI-Driven Data Extraction and AGREE-Based Greenness Evaluation of Analytical Methods for Natural Products: Insights from Selected Studies.Analytical chemistry · 2026Article
- A novel cucurbit[6]uril derivative-based integrated SPME-GC analysis system for efficiently determining the migration of multiple classes of plastic additives from food contact materials.Food chemistry: X · 2026Article
- High-throughput UPCAnalytical and bioanalytical chemistry · 2026Article
- Article
- Artificial intelligence versus traditional approaches in multicomponent spectral analysis.Scientific reports · 2026Article
- Environmentally sustainable UV spectrophotometric-chemometric approach for simultaneous determination of budesonide, glycopyrrolate, and formoterol.BMC chemistry · 2026Article
- Eco-Friendly Sample Preparation Trends for Exogenous Toxic Organic Compounds in Food: A Sustainable Perspective for LC-MS Analysis.Foods (Basel, Switzerland) · 2026Review
- Highly selective sensing of tetracycline by fluorescent carbon dots derived from spent coffee groundsRSC advances · 2025Article
- Article
- Analytical greenness metrics for metabolomics.Metabolomics : Official journal of the Metabolomic Society · 2025Review
- Article
- Automated high-throughput dispersive liquid-liquid microextraction coupled with UHPLC-MS/MS for detecting triazole fungicides in water, juices, wine, and tea.Food chemistry: X · 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
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The focus of green analytical chemistry (GAC) is to minimize the negative impacts of analytical procedures on human safety, human health, and the environment. Several factors, such as the reagents used, sample collection, sample processing, instruments, energy consumed, and the quantities of hazardous materials and waste generated during analytical procedures, need to be considered in the evaluation of the greenness of analytical assays. In this study, we propose a greenness evaluation metric for analytical methods (GEMAM). The new greenness metric is simple, flexible, and comprehensive. The evaluation criteria are based on both the 12 principles of GAC (SIGNIFICANCE) and the 10 factors of sample preparation, and the results are presented on a 0-10 scale. The GEMAM calculation process is easy to perform, and its results are easy to interpret. The output of GEMAM is a pictogram that can provide both qualitative and quantitative information based on color and number.
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What OpenQuestion 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 OpenQuestion graph.