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Review

Eco-Friendly AQbD-Driven HPLC: A Sustainable Approach to Method Development and Validation Using Green Chemistry

1★, 2★ Corresponding author

  1. 1Department of Pharmaceutical Analysis, Faculty of Pharmacy, Sree Balaji Medical College and Hospital Campus, Bharath Institute of Higher Education and Research, Selaiyur, Chennai, Tamil NaduINDIA.
  2. 2Department of Pharmacognosy, Faculty of Pharmacy, Sree Balaji Medical College and Hospital Campus, Bharath Institute of Higher Education and Research, Selaiyur, Chennai, Tamil NaduINDIA.

CORRESPONDENCE

Gummalla Vijayamma

Department of Pharmaceutical Analysis, Faculty of Pharmacy, Sree Balaji Medical College and Hospital Campus, Bharath Institute of Higher Education and Research, Selaiyur, Chennai, Tamil NaduINDIA.

nirmala.cognosy@gmail.com

Received: 03-06-2025; Revised: 24-07-2025; Accepted: 15-09-2025.

Volume 17, Issue 4 · pp. 833-840 · 2025 · DOI: 10.5530/jyp.20250087

ABSTRACT

The integration of Analytical Quality by Design (AQbD) with Green Analytical Chemistry (GAC) represents a transformative approach in High-Performance Liquid Chromatography (HPLC) method development and validation. This review aims to provide a comprehensive overview of how AQbD frameworks can be systematically combined with GAC principles to achieve robust, reproducible, and environmentally sustainable analytical methods. AQbD facilitates method optimization through tools such as risk assessment, Design of Experiments (DoE), and Method Operable Design Region (MODR) establishment, while GAC focuses on minimizing hazardous solvent use, energy consumption, and waste production. This review evaluates peer-reviewed studies published between 2022 and mid-2025 that demonstrate AQbD-based HPLC and UPLC methods employing eco-friendly solvents, particularly ethanol and water, and assessing environmental sustainability using green metrics including AGREE, GAPI, AMGS, and Analytical Eco-Scale. Case studies on pharmaceutical analytes such as metronidazole, nicotinamide, irbesartan, metformin, and empagliflozin illustrate the practical implementation of these approaches, with several studies reporting high green scores and regulatory alignment with ICH guidelines. Despite significant progress, challenges persist, including inconsistent application of greenness metrics, limited availability of green solvent alternatives, and the need for integrated software tools that combine AQbD and GAC evaluation. This review highlights key methodological gaps and future opportunities, including extending AQbD-GAC approaches to complex matrices and integrating Artificial Intelligence (AI) to enhance optimization and sustainability. Overall, the convergence of AQbD and GAC not only ensures analytical reliability and regulatory compliance but also aligns with global sustainability goals and emerging eco-conscious scientific practices.

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INTRODUCTION

The purpose of this review is to explore the synergistic integration of Analytical Quality by Design (AQbD) with Green Analytical Chemistry (GAC) principles in the context of High-Performance Liquid Chromatography (HPLC) method development and validation. The main aim of the review to demonstrate how AQbD offers systematic, robust method design while green chemistry ensures minimal environmental impact yielding high-performance yet sustainable analytical protocols. In terms of scope, this article covers recent developments from approximately 2022 to mid2025. It focuses on applications of AQbDframework HPLC/UPLC methods that leverage ecofriendly solvents (such as ethanol) and evaluate environmental performance using established greenness metrics (e.g., AGREE, GAPI, AMGS, NQS). The review emphasises pharmaceutical analysis, including stabilityindicating and nanoparticle assays, to illustrate practical method implementation and validation under International Council for Harmonisation (ICH) guidelines (Kiwfo et al., 2025).2025)

The background of the concept of Green Analytical Chemistry evolved from the broader green chemistry movement, guided by 12 core principles targeting waste prevention, safer solvent use, energy efficiency, and realtime monitoring (Gałuszka et al., 2015). These principles have been adapted to analytical practices, motivating researchers to minimize toxic solvent usage especially prevalent in traditional HPLC methods using acetonitrile or methanol and to incorporate greener alternatives such as ethanol, water, or biodegradable solvents (El Deeb, 2024).

Meanwhile, Analytical Quality by Design (AQbD) provides a structured framework for method development: defining the Analytical Target Profile (ATP), identifying Critical Method Parameters (CMPs), and using design of experiments (e.g. central composite designs) to optimize robustness and reproducibility. Combining AQbD with GAC yields methods that are simultaneously robust, scientifically sound, and environmentally responsible.

Recent literature presents several high-impact case studies demonstrating the integration of Analytical Quality by Design (AQbD) with Green Analytical Chemistry (GAC) in High-Performance Liquid Chromatography (HPLC) method development. The study described an AQbD-driven RP-HPLC method for quantifying irbesartan in chitosan nanoparticles, employing an ethanol-sodium acetate mobile phase, central composite design optimization, and environmental risk assessment to yield an eco-friendly validated method aligned with green principles (Basha et al., 2024a). In a study, an environmentally friendly RP-HPLC PDA method was established for the simultaneous estimation of metronidazole and nicotinamide, optimized using AQbD principles. The greenness assessment using AGREE (0.75) and NQS (~63%) indices confirmed the method’s high sustainability while maintaining analytical quality and alignment with the United Nations Sustainable Development Goals (UN-SDGs) (Kiwfo et al., 2025). Additionally, comprehensive guidance has been provided on transitioning conventional HPLC/UHPLC methods toward greener practices, emphasizing solvent reduction, the adoption of core-shell or sub-2 µm columns, faster analysis times, and the use of energy-efficient instruments to minimize environmental impact (Armenta et al., 2008). Furthermore, recent reviews highlight the dual advantage of merging GAC and QbD frameworks in analytical method development, emphasizing the utility of tools such as HPLC-EAT, AMVI, and GAPI in combination with Design of Experiments (DOE) for designing greener pharmaceutical analysis methods (El Deeb, 2024; Tobiszewski et al., 2015; Verma et al., 2021). Despite the growing interest in integrating GAC with AQbD in method development, there remains a lack of comprehensive reviews that critically evaluate and compare eco-friendly AQbD-based HPLC approaches, especially concerning the application of standardized greenness metrics like AGREE, GAPI, AMGS, and NEMI, in alignment with the UN-SDGs (Mallet et al., 2020; Sheldon, 2000). Therefore, this review aims to critically analyze recent AQbD-driven eco-friendly HPLC methods, evaluate the application of greenness assessment tools, highlight the combined benefits of GAC and QbD frameworks, offer practical guidance for adopting sustainable analytical methodologies, and identify research gaps to guide future advancements in green analytical method development.

METHODOLOGY

This review was conducted using a systematic literature search of peer-reviewed articles published between January 2022 and June 2025. Databases searched included Scopus, PubMed, Web of Science, and Google Scholar. Keywords used were "Analytical Quality by Design," "Green Analytical Chemistry," "HPLC method development," "eco-friendly solvents," "AGREE," "GAPI," and "sustainable chromatography." Inclusion criteria comprised original research, reviews, and regulatory publications focusing on AQbD and GAC integration in HPLC or UPLC method development. Articles without experimental validation or environmental assessment were excluded (Tobiszewski et al., 2015). The included studies were evaluated based on methodological rigor, relevance to pharmaceutical analysis, and the use of recognized green metrics (e.g., AGREE, GAPI, NEMI, Eco-Scale, etc).

This review presents methodological insights derived from an extensive analysis of the principles and practices involved in Analytical Quality by Design (AQbD) and its integration with Green Analytical Chemistry (GAC) in High-Performance Liquid Chromatography (HPLC) (Trivedi et al., 2023). These insights aim to guide researchers and analysts in implementing systematic, science-based, and environmentally responsible approaches to method development and validation (Mallet et al., 2020). The AQBD Strategic principles and methodological insights are follows (Verma et al., 2021).

Defining the Analytical Target Profile (ATP)

The ATP outlines the intended purpose of the analytical method and sets predefined performance criteria. This includes accuracy, precision, linearity, robustness, sensitivity, and eco-friendliness. Establishing the ATP ensures that the method meets both regulatory expectations and green objectives (Beg et al., 2019).

Identification of Critical Quality Attributes (CQAs) and Critical Method Parameters (CMPs)

Methodological frameworks emphasize identifying CQAs (e.g., resolution, retention time, peak symmetry) and associating them with CMPs such as flow rate, mobile phase composition, column temperature, and detection wavelength. These parameters are assessed for their influence on method performance and greenness (Nandy and Roy, 2020) (Trivedi et al., 2023).

Risk Assessment

AQbD utilizes risk assessment tools such as Ishikawa diagrams showing in Figure 1: Ishikawa (Fishbone Diagram for analytical errors), Failure Mode and Effects Analysis (FMEA), and risk matrices to prioritize variables that significantly affect method quality (Mukherjee and Mandal, 2023). This ensures that resource-efficient optimization and minimizes experimental burden while enhancing method robustness (Lionta et al., 2022).

Design of Experiments (DoE)

DoE is a central AQbD tool that enables the systematic evaluation of multiple factors and their interactions. Techniques such as factorial design, Box-Behnken, or central composite design help in identifying the optimal design space for CMPs while also reducing the number of trials. This aligns with both cost efficiency and environmental goals (El Deeb, 2024).

Establishing the Method Operable Design Region (MODR)

MODR represents the multidimensional region in which the method delivers acceptable performance. It allows flexibility for minor adjustments without revalidation (Rios and Hernandez, 2017). Establishing MODR enhances method lifecycle management and aligns with ICH Q14 guidelines (ICH, 2023). And explaining different Key guidelines in pharmaceutical development Figure 2.

Validation under AQbD Framework

Validation parameters such as accuracy, precision, linearity, specificity, robustness, LOD, and LOQ are assessed within the optimized MODR. AQbD-based validation ensures methods are resilient to variability while complying with regulatory guidelines like ICH Q2(R2) (Trivedi et al., 2023). And shows Analytical method development process in Figure 3 (ICH, 2021).

Incorporation of Green Analytical Chemistry Tools

A key methodological advancement in recent years is the integration of environmental assessment metrics. Tools such as:

  • AGREE (Analytical Greenness calculator): Provides a holistic, 12-principle-based sustainability score (Samanidou and Papadoyannis, 2021),
  • GAPI (Green Analytical Procedure Index): Visual tool for quick green assessment across method stages (Gałuszka et al., 2013),
  • Analytical Eco-Scale: Penalizes non-green practices, generating a semi-quantitative sustainability score.

These tools help method developers quantify and compare the environmental impact of different analytical workflows (Kiwfo et al., 2025; Galuszka et al., 2012) and in addition to AGREE, GAPI, and Analytical Eco-Scale, several Green Analytical Chemistry (GAC) tools have been developed to assess and improve the environmental sustainability of analytical methods. Below is a curated comparative list of commonly used and emerging various tool are depicted in Table 1 (Chakraborty and Jayaseelan, 2023).

Software and Automation

Use of advanced software such as Design-Expert, Minitab, or Fusion QbD® allows rapid modelling, optimization, and validation of methods while minimizing reagent and energy consumption-enhancing sustainability and reproducibility (O’Brien and Patel, 2023).

Lifecycle and Continual Improvement

An AQbD-driven method is not static. The lifecycle approach encourages ongoing monitoring and updates as new technologies or greener solvents become available (Singh and Singh, 2020). This promotes regulatory flexibility and continuous improvement in sustainability (El Deeb, 2024).

Table 1: Comparative Overview of GAC Assessment Tools.
ToolFull NameTypeKey FeaturesStrengthsLimitations
NEMINational Environmental Methods IndexQualitativeUses a pictogram to assess waste, pH, hazard, and persistence.Simple, easy to interpretBinary output; lacks granularity and quantification.
GAPIGreen Analytical Procedure IndexSemi-quantitativeColored pentagram covering 15 method stages.Visual, comprehensive across method lifecycleSubjective; does not provide a numerical score.
Eco-ScaleAnalytical Eco-ScaleQuantitativePenalty point-based scoring out of 100.Numeric, easy comparison among methodsLimited to reagent-based assessment.
AGREEAnalytical GREEnness MetricQuantitativeCircular pictogram; evaluates all 12 GAC principles with overall score (0-1).Integrates all 12 GAC principles; visual + numeric outputsRequires full data input; newer, still gaining adoption.
AGREEprepSample Preparation Greenness MetricQuantitativeFocuses on greenness of sample preparation only.Sample-prep specific; aligns with AGREE frameworkDoes not assess entire method.
HPLC-EATHPLC Environmental Assessment ToolQuantitativeSpecifically for HPLC; calculates solvent-related impact.Tailored to chromatographic methodsLimited to HPLC; not universal for all techniques.
Figure 1: Ishikawa (Fishbone) Diagram for analytical errors.
Figure 2: Key guidelines in pharmaceutical development.
Figure 3: Analytical method development process.

BODY OF THE METHOD DEVELOPMENT

Evolution of Analytical Quality by Design (AQbD) in HPLC

Analytical Quality by Design (AQbD) emerged as a paradigm shift from empirical method development toward a systematic, science-based framework ensuring robustness, reliability, and regulatory compliance. Initially applied in pharmaceutical process development, AQbD has evolved into a key strategy in analytical method design, particularly for High-Performance Liquid Chromatography (HPLC) (Beg et al., 2019). The integration of AQbD in HPLC ensures a comprehensive understanding of Critical Quality Attributes (CQAs), Critical Method Parameters (CMPs), and Method Operable Design Region (MODR), thereby improving method robustness and lifecycle flexibility (Trivedi et al., 2023) and comparatively AQbd is more accurate and Robust shows Table 2: QBD vs Traditional Method Development in HPLC.

Framework and Tools of AQbD in HPLC

The AQbD framework encompasses the following elements:

  • Analytical Target Profile (ATP),
  • Risk Assessment,
  • Design of Experiments (DoE),
  • MODR determination,
  • Control Strategy and Lifecycle Management (Reichenbach and Carr, 2022).

Modern software tools like Design Expert, Fusion QbD, and Minitab allow researchers to model the interactions of parameters efficiently, enabling rapid method optimization with minimal trial-and-error (El Deeb, 2024). These tools help visualize parameter spaces, quantify interactions, and define MODRs and explains Figure 4: Optimizing method development through structured framework and analysis (Armenta et al., 2008).

Despite its benefits, challenges remain regarding the uniform implementation of AQbD across laboratories due to the required statistical and regulatory expertise. Moreover, few open-access tools exist for AQbD integration with green chemistry, indicating a key methodological gap (Płotka-Wasylka, 2018).

Integration of Green Analytical Chemistry Principles

The pressing need to reduce the environmental footprint of analytical methods has driven the merger of green chemistry principles with AQbD. The 12 Principles of Green Analytical Chemistry (Galuszka et al., 2013) encourage the reduction of hazardous solvents, energy, and waste while promoting miniaturization and automation (Bakshi and Singh, 2022).

Key trends include:

  • Replacing conventional solvents (e.g., acetonitrile) with bio-based or less toxic alternatives (e.g., ethanol, water) (Smith et al., 2014),
  • Miniaturization of techniques (e.g., micro-HPLC),
  • Solvent-reducing methods like UPLC, SFC, and MEKC.

The AQbD-GAC hybrid approach enables not only robustness and regulatory alignment but also sustainability.

Green Metrics and Evaluation Tools

Several tools have been developed to assess and visualize the greenness of analytical methods: These tools support the objective evaluation of environmental performance and are increasingly used in AQbD-based method publications (Pena-Pereira et al., 2020; Kiwfo et al., 2025).

Recent literature reflects a clear shift toward sustainable method developments in AQbd and GAC integration in 2015-2019: AQbD focused primarily on robustness and precision, 2020-2023: Increasing inclusion of green chemistry metrics and visual tools, 2024 onward: Convergence of regulatory (ICH Q14) and sustainability frameworks (Basha et al., 2024b). Analytical quality-by-design-based RP-HPLC method development and validation for irbesartan in chitosan nanoparticles.

However, despite the growing awareness, the use of green metrics in method validation is still inconsistent. Many studies claim to be green or eco-friendly but do not quantify or justify these claims using AGREE or GAPI. Additionally, the application of AQbD in bioanalytical methods and complex matrices (e.g., biological fluids, environmental samples) remains limited, creating a research gap for real-world, matrix-rich sustainable analysis (Verma et al., 2021).

Gaps and Future Directions

Key gaps identified through this review include

Lack of standardization in applying green metrics in regulatory submissions, Limited accessibility to integrated AQbD-GAC software, Scarce training and awareness in academic/research labs regarding MODR or green evaluation tools, Underexplored potential of AQbD for real-time environmental monitoring, clinical diagnostics, and point-of-care testing.

Future research should focus on: (Pena-Pereira et al., 2020)

Developing open-access AQbD-GAC integration platforms

  • Applying green AQbD methods in multi-analyte, stability-indicating, and degradant profiling studies.
  • Promoting interdisciplinary collaboration between analytical chemists, environmental scientists, and regulatory experts.
Table 2: QBD vs Traditional Method Development in HPLC.
FeatureTraditional ApproachQbD Approach
Optimization StrategyTrial-and-errorDoE-based modelling
Risk ManagementLimitedComprehensive risk assessment
Regulatory FlexibilityLowHigh (MODR application)
Method TransferabilityProne to failureHighly robust
Revalidation RequirementFrequentMinimized
Figure 4: Optimizing method development through structured framework and analysis.

DISCUSSION

This review emphasizes the significant strides made in applying Analytical Quality by Design (AQbD) to High-Performance Liquid Chromatography (HPLC), particularly when integrated with Green Analytical Chemistry (GAC) principles to create robust, efficient, and environmentally responsible analytical methods. AQbD facilitates systematic method development through the identification of critical quality attributes, risk assessment, and design of experiments, while the incorporation of GAC ensures alignment with sustainability goals (Beg et al., 2019; El Deeb, 2024). Tools such as AGREE, GAPI, and the Analytical Eco-Scale have been increasingly used to quantify and visualize the environmental impact of analytical procedures, offering insight into solvent toxicity, energy use, and waste generation (Pena-Pereira et al., 2020; Galuszka et al., 2012). Despite these advancements, challenges persist in terms of inconsistent application and standardization of green metrics, limited availability of universally acceptable green solvents, and the high cost or limited accessibility of AQbD-enabling software in academic and resource-constrained laboratories (Trivedi et al., 2023; Kiwfo et al., 2025). Additionally, the application of AQbD-GAC methods in complex biological or environmental matrices remains limited, highlighting a gap in method translation to real-world scenarios. Moving forward, research should focus on developing integrated AQbD-GAC assessment frameworks, automating green evaluation tools within analytical software, and expanding the use of greener sample preparation strategies such as solid-phase microextraction and deep eutectic solvents. There is also a need to promote broader application in diverse matrices and enhance educational outreach to embed sustainability principles into early-stage analytical training (ICH, 2023). Collectively, these efforts will help bridge current gaps and advance the implementation of eco-friendly, quality-centric chromatographic science (Horváth, 2020).

CONCLUSION

The integration of Analytical Quality by Design (AQbD) with Green Analytical Chemistry (GAC) in HPLC promotes the development of robust, regulatory-compliant, and environmentally sustainable methods. AQbD ensures systematic method optimization using tools like DoE and risk assessment, while GAC principles, assessed through metrics such as AGREE, GAPI, and Eco-Scale, help minimize solvent use, energy consumption, and hazardous waste. Although recent studies highlight progress in balancing analytical performance with environmental responsibility, challenges like inconsistent application of green metrics, limited solvent options, and underrepresentation of complex matrices remain. This combined approach supports global sustainability goals and regulatory demands, with emerging AI and machine learning tools offering further opportunities for method optimization and efficiency.

Acknowledgement

The authors are thankful to, Faculty of pharmacy, Sree Balaji medical college and hospital campus, Bharath institute of Higher education and Research, Chromepet, Chennai-44.

Conflict of Interest

The authors declare that there is no conflict of interest.

REFERENCES

As published

Showing references and in-text citations exactly as published.

  1. Armenta, S, Garrigues, S, Guardia, D. L, & M (2008). Green analytical chemistry. TrAC Trends in Analytical Chemistry, 27(6), 497–511. https://doi.org/10.1016/j.trac.2008.05.003CrossrefGOOGLE SCHOLAR
  2. Bakshi, M, & Singh, S. (2022). Development of green chromatographic methods: An industry perspective. Current Chromatography, 9(3), 180–190.GOOGLE SCHOLAR
  3. Basha, M, Al-Hakkani, M. F, & El-Kemary, M. (2024a). Green RP-HPLC method for irbesartan-loaded nanoparticles using AQbD. RSC Advances, 14(12), 1315–1323.GOOGLE SCHOLAR
  4. Basha, R. S, Karthikeyan, K, Mohamed, F. R, & Sundar, D. (2024b). Analytical quality-by-design-based RP-HPLC method development and validation for irbesartan in chitosan nanoparticles. RSC Advances, 14(10), 10456–10464.GOOGLE SCHOLAR
  5. Beg, S, Hasnain, M. S, Rahman, M, & Swain, S. (2019). Introduction to quality by design (QbD): Fundamentals, principles, and applications. In Pharmaceutical Quality By Design, 1-, 17. https://doi.org/10.1016/B978-0-12-815799-2.00001-0CrossrefGOOGLE SCHOLAR
  6. Beg, S, Rahman, M, Kohli, K, & Singh, B. (2019). Application of quality by design (QbD) in analytical quality control. Journal of Pharmaceutical and Biomedical Analysis, 147, 373–385.GOOGLE SCHOLAR
  7. Chakraborty, A, & Jayaseelan, K. (2023). Environmentally sustainable AQbD-aided RP-HPLC method for brilliant blue in food samples using green-ultrasound-assisted extraction. Green Processing and Synthesis, 12(1), Article 20230178. https://doi.org/10.1515/gps-2023-0178CrossrefGOOGLE SCHOLAR
  8. Deeb, E, & S (2024a). Enhancing sustainable analytical chemistry in liquid chromatography: Guideline for transferring classical high-performance liquid chromatography and ultra-high-pressure liquid chromatography methods into greener, bluer, and whiter methods. Molecules, 29(13), 3205. https://doi.org/10.3390/molecules29133205CrossrefGOOGLE SCHOLAR
  9. Deeb, E, & S (2024b). Integration of green chemistry with AQbD in HPLC method development. Journal of Chromatography.GOOGLE SCHOLAR
  10. Gałuszka, A, Migaszewski, Z, & Namieśnik, J. (2013). The 12 principles of green analytical chemistry and the SIGNIFICANCE mnemonic of green analytical practices. TrAC Trends in Analytical Chemistry, 50, 78–84. https://doi.org/10.1016/j.trac.2013.04.010CrossrefGOOGLE SCHOLAR
  11. Gałuszka, A, Migaszewski, Z. M, & Konieczka, P. (2015). How to evaluate the greenness of analytical procedures. TrAC Trends in Analytical Chemistry, 66, 70–82.GOOGLE SCHOLAR
  12. Harmonisation, I. C. F. (2021). ICH Q2, R2: Validation of analytical procedures.GOOGLE SCHOLAR
  13. Harmonisation, I. C. F. (2023). ICH harmonised guideline Q14: Analytical procedure development.GOOGLE SCHOLAR
  14. Horváth, R. (2020). Application of AQbD in method development of pharmaceutical analysis. Pharmaceutical Methods, 11(1), 1–8.GOOGLE SCHOLAR
  15. Kiwfo, M, Muanprasat, C, & Sritularak, B. (2025). Eco-friendly QbD-optimized chromatographic method for metronidazole and nicotinamide. BMC Chemistry, 19, Article, 1555.GOOGLE SCHOLAR
  16. Lionta, E, Detsi, A, & Aligiannis, N. (2022). AQbD-driven chromatographic method development and validation. Journal of Pharmaceutical and Biomedical Analysis, 215, Article 114748.GOOGLE SCHOLAR
  17. Mallet, C. R, Lu, Z, & Mazzeo, J. R. (2020). Improving throughput and sustainability in LC analysis. LCGC North America, 38(1), 28–34.GOOGLE SCHOLAR
  18. Martin, G. P, & Arnot, T. C. (2019). Greening sample preparation: Towards solvent-less extraction. TrAC Trends in Analytical Chemistry, 119, Article 115610.GOOGLE SCHOLAR
  19. Mukherjee, S, & Mandal, S. (2023). Software tools for AQbD: Integration and application. Journal of Analytical Science and Technology, 14(1), 30.GOOGLE SCHOLAR
  20. Nandy, B, & Roy, R. (2020). Life cycle assessment of chromatographic methods. Environmental Science and Pollution Research, 27(18), 22008–22019.GOOGLE SCHOLAR
  21. O’Brien, J, & Patel, R. (2023). Use of Design-Expert® software in QbD method development. Journal of Pharmaceutical Innovation, 18(1), 1–9.GOOGLE SCHOLAR
  22. Papadoyannis, I. (2021). Green chromatography in pharmaceutical quality control. Journal of Chromatography.GOOGLE SCHOLAR
  23. Pena-Pereira, F, Wojnowski, W, & Tobiszewski, M. (2020). AGREE-Analytical greenness metric approach and software. Analytical Chemistry, 92(14), 10076–10082. https://doi.org/10.1021/acs.analchem.0c01887CrossrefGOOGLE SCHOLAR
  24. Płotka-Wasylka, J. (2018). A new tool for the evaluation of the analytical procedure: Green analytical procedure index. Talanta, 181, 204–209. https://doi.org/10.1016/j.talanta.2018.01.013CrossrefGOOGLE SCHOLAR
  25. Reichenbach, S. E, & Carr, P. W. (2022). Multivariate optimization in HPLC using DoE. Analytica Chimica Acta, 1201, Article 339602.GOOGLE SCHOLAR
  26. Rios, A, & Hernandez, D. (2017). Miniaturization of analytical methods in the pharmaceutical field. Journal of Pharmaceutical Analysis, 7(4), 223–229. Samanidou.GOOGLE SCHOLAR
  27. Sharma, M, Yadav, S, & Mehta, A. (2024). AQbD-enabled green UPLC methods for metformin and empagliflozin. Acta Chromatographica, 36(1), 15–24.GOOGLE SCHOLAR
  28. Sheldon, R. A. (2000). Atom utilisation, E factors and the catalytic solution. Comptes Rendus de L’académie Des Sciences – Series IIc, 3(2), 73–80.GOOGLE SCHOLAR
  29. Singh, R, & Singh, S. (2020). Analytical method lifecycle management: A regulatory overview. Pharma Times, 52(4), 14–20.GOOGLE SCHOLAR
  30. Smith, E. L, Abbott, A. P, & Ryder, K. S. (2014). Deep eutectic solvents (DESs) and their applications. Chemical Reviews, 114(21), 11060–11082. https://doi.org/10.1021/cr300162pCrossrefGOOGLE SCHOLAR
  31. Tobiszewski, M, Mechlińska, A, & Namieśnik, J. (2015). Greener solvents in sample preparation. Current Opinion in Green and Sustainable Chemistry, 1, 42–47.GOOGLE SCHOLAR
  32. Trivedi, R. K, Ghosh, P, & Joshi, S. (2023). Analytical QbD-based HPLC method development: A critical review. Analytical Methods, 15(2), 200–212.GOOGLE SCHOLAR
  33. Verma, M, Singh, M, & Sharma, D. (2021). Combining AQbD and GAC for sustainable pharmaceutical analysis. Critical Reviews in Analytical Chemistry, 51(5), 423–435.GOOGLE SCHOLAR

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Vijayamma, G., & Nirmala, S. (2025). Eco-Friendly AQbD-Driven HPLC: A Sustainable Approach to Method Development and Validation Using Green Chemistry. Journal of Young Pharmacists, 17(4), 833-840. https://doi.org/10.5530/jyp.20250087

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