Evidence map›Paper›PMID 29568193›Full record

ArticlePharmacognosy research

Method Development and Validation for the Determination of Caffeine: An Alkaloid from

P Naveen, H B Lingaraju, M Deepak, B Medhini, K Shyam Prasad

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Article in Pharmacognosy research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 14 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

P NaveenAnalytical Research and Development, Vidya Herbs Pvt. Ltd., Bengaluru, Karnataka, India.
H B LingarajuPhytochemistry Lab, Vidya Herbs Pvt. Ltd., Bengaluru, Karnataka, India.
M DeepakPhytochemistry Lab, Vidya Herbs Pvt. Ltd., Bengaluru, Karnataka, India.
B MedhiniAnalytical Research and Development, Vidya Herbs Pvt. Ltd., Bengaluru, Karnataka, India.
K Shyam PrasadPhytochemistry Lab, Vidya Herbs Pvt. Ltd., Bengaluru, Karnataka, India.
Analytical Services · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe present study was investigated to develop and validate a reversed phase high performance liquid chromatography method for the determination of caffeine from bean material of Coffee arabica. MATERIALS AND

methodsThe separation was achieved on a reversed-phase C18 column using a mobile phase composed of water: methanol (50:50) at a flow rate of 1.0 mlmin-1. The detection was carried out on a UV detector at 272 nm. The developed method was validated according to the requirements for International Conference on Harmonisation (ICH) guidelines, which includes specificity, linearity, precision, accuracy, limit of detection and limit of quantitation.

resultsThe developed method validates good linearity with excellent correlation coefficient (R2 > 0.999). In repeatability and intermediate precision, the percentage relative standard deviation (% RSD) of peak area was less than 1% shows high precision of the method. The recovery rate for caffeine was within 98.78% - 101.28% indicates high accuracy of the method. The low limit of detection and limit of quantitation of caffeine enable the detection and quantitation of caffeine from

conclusionThe developed HPLC method is a simple, rapid, precisely, accurately and widely accepted and it is recommended for efficient assays in routine work. SUMMARY: A simple, accurate, and sensitive high-performance liquid chromatography (HPLC) method for caffeine from

Indexed as

CaffeineCoffea arabicalinearityprecisionrecoveryvalidation

Identifiers

PMID29568193
PMCPMC5855379
OpenAlexW2946710441

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.