Green Analytical Chemistry最新文献

{"title":"Integrating vibrational spectroscopy into pharmaceutical education through green analytical chemistry principles: Rationale and development of a teaching module from theory to practice","authors":"C. De Bleye,&nbsp;R. Guerrini,&nbsp;B. Saker,&nbsp;A. Adjagboni,&nbsp;C.A. Waffo Tchounga,&nbsp;A. Pressia,&nbsp;K. Kemik,&nbsp;P.-Y. Sacré,&nbsp;Ph. Hubert,&nbsp;E. Ziemons","doi":"10.1016/j.greeac.2026.100382","DOIUrl":"10.1016/j.greeac.2026.100382","url":null,"abstract":"<div><div>The growing integration of sustainability principles into pharmaceutical sciences has highlighted the importance of considering Green Analytical Chemistry (GAC) in the training of future pharmacists. In this context, vibrational spectroscopy, including near infrared, mid infrared and Raman techniques, offers a particularly suitable framework due to its rapidity, minimal sample preparation, and low environmental impact. This paper therefore focuses on the importance of introducing vibrational techniques within a GAC context to students enrolled in a pharmaceutical sciences curriculum. In the first part, motivational aspects concerning the use of vibrational spectroscopy techniques and chemometrics in the pharmaceutical field are presented. In the second part, the development and implementation of a teaching module designed for undergraduate pharmacy students, integrating vibrational spectroscopy and chemometrics within a GAC perspective is described. The module includes theoretical lessons and practical activities. Emphasis is placed on data-driven analysis, introducing students to preprocessing techniques and multivariate modeling using accessible open-source tools, such as Python and Orange Data Mining. The approach promotes active learning and provides students with practical skills in modern analytical workflows increasingly used in various pharmaceutical sectors. Overall, this pedagogical framework demonstrates how analytical notions and sustainability can be effectively combined in undergraduate education, offering a transferable module integrating green analytical practices, vibrational spectroscopies and chemometrics into pharmaceutical curricula.</div></div>","PeriodicalId":100594,"journal":{"name":"Green Analytical Chemistry","volume":"18 ","pages":"Article 100382"},"PeriodicalIF":7.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148934767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Potentiometric sensors for the detection of PFAS: current challenges and future perspectives","authors":"Oguz Özbek,&nbsp;Isa Mert Eski","doi":"10.1016/j.greeac.2026.100386","DOIUrl":"10.1016/j.greeac.2026.100386","url":null,"abstract":"<div><div>Per- and polyfluoroalkyl substances (PFASs) are persistent environmental contaminants that pose serious risks to ecosystems and human health. This letter discusses the future potential of potentiometric sensors as sustainable, rapid, and cost effective alternatives for PFAS monitoring. Recent advances in molecularly imprinted polymers, nanomaterials, MOFs, MXenes, and hybrid sensing platforms are evaluated regarding their contribution to sensitivity and selectivity enhancement. The integration of advanced sensing materials may enable highly effective in-situ potentiometric PFAS detection systems.</div></div>","PeriodicalId":100594,"journal":{"name":"Green Analytical Chemistry","volume":"18 ","pages":"Article 100386"},"PeriodicalIF":7.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148934768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Green reversed-phase liquid chromatography of CoQ10 and vitamin E using dimethyl carbonate as the mobile phase modifier","authors":"Mohamed A. Abdelaziz,&nbsp;Neil D. Danielson","doi":"10.1016/j.greeac.2026.100380","DOIUrl":"10.1016/j.greeac.2026.100380","url":null,"abstract":"<div><div>Previously, we have shown that dimethyl carbonate (DMC) is an effective green mobile-phase modifier for reversed-phase LC separation of polyaromatic hydrocarbons, particularly larger multi-ring compounds such as coronene. Ubidecarenone (CoQ₁₀) and vitamin E (tocopheryl acetate) are highly hydrophobic, with long nonpolar chains (a 10-isoprene chain (C50) and a C16 saturated isoprenoid tail, respectively) attached to a substituted ring system. Reversed-phase LC methods for such compounds often require a completely nonaqueous mobile phase based on an alcohol with a more nonpolar solvent such as tetrahydrofuran or hexane. Our objective is to separate such compounds quickly with baseline resolution using a green mobile phase. Using 85% DMC:10% ethanol:5% water with a standard HPLC C₁₈ column, the retention factor for tocopheryl acetate was a factor of 12 less as compared to a 95% methanol:5% water mobile phase. Separation with baseline resolution of COQH₂, the reduced form of CoQ₁₀, and CoQ₁₀ was possible in &lt;2 min using a 50% DMC:50% ethanol mobile phase with a standard C₁₈ column as compared to 8 min using 50% acetonitrile:50% ethanol. Using a 1.8-micron C₁₈ UHPLC column, the analysis time with baseline resolution was reduced to less than a minute with a 91% DMC:6% ethanol:3% water mobile phase. Analytical quality-by-design software (Minitab 17.1.0) was used to optimize the separation conditions for tocopheryl, tocopheryl acetate, CoQH₂, and CoQ₁₀, a mixture commonly found in supplement preparations. The optimum experimental conditions were a mobile phase of 76% DMC:16% ethanol:8% water running at 0.58 mL/min, and the column at 40 °C. Baseline resolution of all four compounds was possible in &lt;1.75 min using the same UHPLC column. Analytical figures of merit showed LOQ values from 0.6 to 3 mg/L with linearity from 5 to 150 mg/L. Recovery of spiked samples was consistently close to 100%, and RSD values ranged from 0.2 to 2%. Analyzed supplements were generally close to the label claim with the exception of tocopheryl acetate in one sample. The greenness score of our analytical method, as assessed by MoGAPI, was 78, significantly higher than that for the USP method of 62. The proposed method's better attributes across redness (analytical performance), greenness (safety/environmental impact), and blueness (practicality) indicate it could be a superior alternative to the USP method.</div></div>","PeriodicalId":100594,"journal":{"name":"Green Analytical Chemistry","volume":"18 ","pages":"Article 100380"},"PeriodicalIF":7.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148854155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Google Deep Mind AlphaZero program performance emphasizes the importance of a good understanding of fundamentals to enable efficient development of novel, green analytical chemistry approaches","authors":"Janusz Pawliszyn","doi":"10.1016/j.greeac.2026.100342","DOIUrl":"10.1016/j.greeac.2026.100342","url":null,"abstract":"","PeriodicalId":100594,"journal":{"name":"Green Analytical Chemistry","volume":"17 ","pages":"Article 100342"},"PeriodicalIF":6.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148241586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retraction notice to “A Comprehensive review of AI-Based Collagen Valorization: Recent Trends, Innovations in Extraction, and Applications” [Green Analytical Chemistry (2025) 100212]","authors":"Arthi Srinivasan ,&nbsp;Arun Gupta ,&nbsp;Vigneswaran Narayanamurthy","doi":"10.1016/j.greeac.2026.100336","DOIUrl":"10.1016/j.greeac.2026.100336","url":null,"abstract":"","PeriodicalId":100594,"journal":{"name":"Green Analytical Chemistry","volume":"17 ","pages":"Article 100336"},"PeriodicalIF":6.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148241587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “A correlation-based LIBS strategy for quantitative analysis of soil nutrients in field soil samples” [Green Analytical Chemistry Volume 17 (2026) 100353]","authors":"Jieyu Wang ,&nbsp;Zengling Yang ,&nbsp;Qian Zhang ,&nbsp;Weizheng Zhong ,&nbsp;Zhuolin Shi ,&nbsp;Shixuan Lai ,&nbsp;Lujia Han","doi":"10.1016/j.greeac.2026.100358","DOIUrl":"10.1016/j.greeac.2026.100358","url":null,"abstract":"","PeriodicalId":100594,"journal":{"name":"Green Analytical Chemistry","volume":"17 ","pages":"Article 100358"},"PeriodicalIF":6.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148241588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Green ultrasound-assisted extraction and GC-MS for the identification of intentionally and non-intentionally added substances in bio-based food contact materials","authors":"Maurizio Piergiovanni ,&nbsp;Marco Fontanarosa ,&nbsp;Nicolo’ Riboni ,&nbsp;Antonella Cavazza ,&nbsp;Monica Mattarozzi ,&nbsp;Federica Bianchi ,&nbsp;Maria Careri","doi":"10.1016/j.greeac.2026.100330","DOIUrl":"10.1016/j.greeac.2026.100330","url":null,"abstract":"<div><div>The use of bioplastics as food contact materials (FCMs) is rapidly expanding as a sustainable alternative to conventional plastics, with polylactic acid (PLA) being among the most widely used biopolymer. The complex nature of bioplastics makes extraction and detection of intentionally and non-intentionally added substances (IAS and NIAS) particularly challenging, requiring the development of efficient and environmentally sustainable analytical procedures. In this study, a green analytical approach based on ultrasound-assisted extraction followed by GC–MS was developed for the untargeted analysis of GC-amenable IAS and NIAS from commercial biobased FCMs. For the first time in this context, Analytical Quality by Design principles were applied to optimize the extraction process. A screening design was applied to identify the significant critical method parameters, namely, solvent type, extraction and sonication time. A comparative assessment of conventional and green solvents was performed. Cyclopentyl methyl ether showed the highest extraction efficiency, while reducing the extraction time. The method operable design region ranged from 8:30 h to 10:50 h for extraction time and 10–25 min for sonication time. As a proof of concept, the optimized procedure was applied to bioplastic commercial items, leading to the detection of 39 volatile compounds belonging to different chemical classes. Multivariate data analysis allowed for a correct classification of samples according to their composition, demonstrating the method suitability for quality control purposes. Finally, AGREE, BAGI, and CHEMS-1 metrics were used to assess the greenness and applicability of the developed method, demonstrating a good alignment with the principles of green analytical chemistry</div></div>","PeriodicalId":100594,"journal":{"name":"Green Analytical Chemistry","volume":"16 ","pages":"Article 100330"},"PeriodicalIF":6.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147394870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive metric-based assessment of fabric phase sorptive extraction’s greenness and operational performance in water sample preparation and analysis","authors":"Augosto Misolas ,&nbsp;Mohamad Sleiman ,&nbsp;Vasilios Sakkas","doi":"10.1016/j.greeac.2025.100322","DOIUrl":"10.1016/j.greeac.2025.100322","url":null,"abstract":"<div><div>Fabric phase sorptive extraction (FPSE) is a sample preparation technique that has gained significant attention due to its operational simplicity, low solvent consumption, and improved sorbent loading relative to traditional extraction techniques. In this study, the greenness and practicality of thirty FPSE-based methods applied to contaminants in environmental water were systematically assessed using four metric tools. As a sample preparation technique, greenness was evaluated according to the Analytical Greenness Metric for Sample Preparation (AGREEprep) and the Sample Preparation Metric of Sustainability (SPMS), yielding score ranges of 0.22 – 0.80 and 6.0 – 8.0, respectively. When considered as complete analytical methodologies, the Analytical GREEnness Metric (AGREE) scores ranged between 0.40 and 0.62. Practicality was assessed according to the Blue Applicability Grade Index (BAGI), yielding scores between 55 and 75. Overall, FPSE-based methods were both green and practical. Principal component analysis (PCA) was employed to identify methods achieving satisfactory greenness and practicality. The greenness and practicality of FPSE can be improved by reducing the use of toxic solvents, automation, and using less energy-intensive instrumentation.</div></div>","PeriodicalId":100594,"journal":{"name":"Green Analytical Chemistry","volume":"16 ","pages":"Article 100322"},"PeriodicalIF":6.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On-site therapeutic drug analysis with paper-capillary spray ionization and miniature mass spectrometry system","authors":"Jinling Lu ,&nbsp;Nan Zhang ,&nbsp;Xinwei Liu ,&nbsp;Wenpeng Zhang","doi":"10.1016/j.greeac.2026.100325","DOIUrl":"10.1016/j.greeac.2026.100325","url":null,"abstract":"<div><div>Therapeutic drug monitoring ensures safe and effective pharmacotherapy by maintaining drug concentrations within a therapeutic range. However, conventional liquid chromatography-mass spectrometry workflows are restricted to clinical laboratories and limited by complicated sample preparation and long analysis times. Here we describe an on-site therapeutic drug monitoring protocol by integrating paper-capillary spray ionization with a miniature linear ion trap mass spectrometer. It consumes several microliters of biofluid without sample preparation and can provide results in 2 min. The protocol was validated by analyzing linezolid, carbamazepine, imatinib, and lamotrigine in blood samples, showing low limits detection as low as 50 ng/mL, RSD below 15%, and good linearity (R² &gt; 0.99) across five orders of magnitude. The protocol is promising in fast and on-site monitoring of a wide range of therapeutic drugs in biofluids.</div></div>","PeriodicalId":100594,"journal":{"name":"Green Analytical Chemistry","volume":"16 ","pages":"Article 100325"},"PeriodicalIF":6.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial - Towards better practices in method assessment","authors":"Paweł Mateusz Nowak ,&nbsp;Natalia Manousi ,&nbsp;Marek Tobiszewski","doi":"10.1016/j.greeac.2025.100312","DOIUrl":"10.1016/j.greeac.2025.100312","url":null,"abstract":"","PeriodicalId":100594,"journal":{"name":"Green Analytical Chemistry","volume":"16 ","pages":"Article 100312"},"PeriodicalIF":6.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147394871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}