Evidence map›Paper›PMID 36677532›Full record

ArticleMolecules (Basel, Switzerland)2023

Quality by Design (QbD) Based Method for Estimation of Xanthohumol in Bulk and Solid Lipid Nanoparticles and Validation.

Vancha Harish, Waleed Hassan Almalki, Ahmed Alshehri, Abdulaziz Alzahrani, Madan Mohan Gupta, Sami I Alzarea, Imran Kazmi, Monica Gulati, Devesh Tewari, Gaurav Gupta and 2 more

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
5.7field-weighted citation impact, top 3% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 10 institutions in 4 countries.

Vancha HarishSchool of Pharmaceutical Sciences, Lovely Professional University, Phagwara 144411, India.ORCID 0000-0003-3651-0662
Waleed Hassan AlmalkiDepartment of Pharmacology, Umm Alqura College of Pharmacy, Umm Alqura University, Makkah 21955, Saudi Arabia.
Ahmed AlshehriDepartment of Pharmacology & Toxicology, College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, King Faisal Road, P.O. Box 1982, Dammam 31441, Saudi Arabia.
Abdulaziz AlzahraniCollege of Clinical Pharmacy, Pharmaceutical Chemistry Department, AlBaha University, P.O. Box 1988, Al Baha 65411-14 KSA, Saudi Arabia.
Madan Mohan GuptaSchool of Pharmacy, Faculty of Medical Sciences, The University of the West Indies, St. Augustine 3303, Trinidad and Tobago.ORCID 0000-0002-5224-4774
Sami I AlzareaDepartment of Pharmacology, College of Pharmacy, Jouf University, Sakaka 72341, Saudi Arabia.ORCID 0000-0003-4007-4023
Imran KazmiDepartment of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah 80203, Saudi Arabia.ORCID 0000-0003-1881-5219
Monica GulatiSchool of Pharmaceutical Sciences, Lovely Professional University, Phagwara 144411, India.
Devesh TewariDepartment of Pharmacognosy and Phytochemistry, School of Pharmaceutical Sciences, Delhi Pharmaceutical Sciences and Research University, New Delhi 110017, India.
Gaurav GuptaSchool of Pharmacy, Suresh Gyan Vihar University, Mahal Road, Jagatpura, Jaipur 302017, India.
Kamal DuaFaculty of Health, Australian Research Centre in Complementary & Integrative Medicine, University of Technology Sydney, Ultimo, NSW 2007, Australia.ORCID 0000-0002-7507-1159
Sachin Kumar SinghSchool of Pharmaceutical Sciences, Lovely Professional University, Phagwara 144411, India.ORCID 0000-0003-3823-6572
Lovely Professional University · INAl Baha University · SADelhi Pharmaceutical Science and Research University · INImam Abdulrahman Bin Faisal University · SAJouf University · SAKing Abdulaziz University · SAUmm al-Qura University · SAUniversity of Technology Sydney · AUUniversity of the West Indies · TTUttaranchal University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The analytical quality by design (AQbD) approach is utilized for developing and validating the simple, sensitive, cost-effective reverse-phase high performance liquid chromatographic method for the estimation of xanthohumol (XH) in bulk and nanoformulations. The Box-Behnken design (BBD) is applied for method optimization. The mobile phase ratio, pH and flow rate were selected as independent variables, whereas retention time, peak area, peak height, tailing factor, and theoretical plates were selected as dependent variables. The chromatogram of XH obtained under optimized conditions has given optimum conditions such as retention time (5.392 min), peak area (1,226,737 mAU), peak height (90,121 AU), tailing factor (0.991) and theoretical plates (4446.667), which are contoured in the predicted values shown by BBD. Validation of the method has been performed according to ICH Q2(R1) recommendations, using optimized conditions for linearity, limit of detection (LOD) and limit of quantification (LOQ), accuracy, precision, robustness and system suitability. All the values of validation parameters lie within the acceptable limits prescribed by ICH. Therefore, the developed and validated method of XH by the AQbD approach can be applied for the estimation of XH in bulk and various nanoformulations.

Indexed as

Chromatography, Reverse-PhaseChromatography, High Pressure LiquidFlavonoidsLimit of DetectionLiposomesNanoparticlesPropiophenonesFlavonoidsLipid NanoparticlesLiposomesPropiophenonesxanthohumolanticancerAQbDBBDbeerhumulusRP-HPLCvalidation

Identifiers

PMID36677532
PMCPMC9864017
OpenAlexW4313584751

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.