Rapid detection of sildenafil analogue in Eurycoma longifolia products using a new two-tier procedure of the near infrared (NIR) spectra database

Mazlina Mohd Said, Simon Gibbons, Anthony C. Moffat, Mire Zloh

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

A simple and cost-effective two-tier drug screening procedure comprises a 'dedicated' NIR spectral database of common medicines and a 'unified' database was developed to detect the sildenafil analogue in Eurycoma longifolia products. Diffuse reflectance spectra of ten commercial herbal products containing E. longifolia were obtained over the wavelength range of 1100-2500 nm. The spectral search of two products purchased via the internet against a dedicated database of reputable E. longifolia products have resulted in the similarity index of more than 0.1 which indicated significantly different spectra. Further searches against the unified database showed a close match to the spectra of drug containing sildenafil citrate suggesting the presence of a sildenafil analogue. This finding was supported by clustering of these spectra in the PCA score plot within 5% significance level. This approach has alleviated the use of reference product or standard active for direct comparison and has a potential to be used for adulterated food and drugs detection.

Original languageEnglish
Pages (from-to)296-301
Number of pages6
JournalFood Chemistry
Volume158
DOIs
Publication statusPublished - 1 Sep 2014

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Eurycoma
Eurycoma longifolia
Databases
Infrared radiation
drugs
Pharmaceutical Preparations
Preclinical Drug Evaluations
Passive Cutaneous Anaphylaxis
citrates
Internet
reflectance
Medicine
Cluster Analysis
wavelengths
Screening
medicine
screening
Costs and Cost Analysis
Food
Wavelength

Keywords

  • Eurycoma longifolia
  • NIRs
  • Principal component analysis
  • Sildenafil analogue
  • SIMCA
  • Spectral database

ASJC Scopus subject areas

  • Food Science
  • Analytical Chemistry

Cite this

Rapid detection of sildenafil analogue in Eurycoma longifolia products using a new two-tier procedure of the near infrared (NIR) spectra database. / Mohd Said, Mazlina; Gibbons, Simon; Moffat, Anthony C.; Zloh, Mire.

In: Food Chemistry, Vol. 158, 01.09.2014, p. 296-301.

Research output: Contribution to journalArticle

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