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Molecules. 2018 Aug 27;23(9). pii: E2152. doi: 10.3390/molecules23092152.

Development of a NIR Method for the In-Line Quantification of the Total Polyphenolic Content: A Study Applied on Ajuga genevensis L. Dry Extract Obtained in a Fluid Bed Process.

Author information

1
Department of Medical Devices, Iuliu Hatieganu University of Medicine and Pharmacy, 4 Louis Pasteur Street, Cluj-Napoca 400439, Romania. gavan.alexandru@umfcluj.ro.
2
Department of Medical Devices, Iuliu Hatieganu University of Medicine and Pharmacy, 4 Louis Pasteur Street, Cluj-Napoca 400439, Romania. mihaiu.mihaela@umfcluj.ro.
3
Department of Pharmaceutical Botany, Iuliu Hatieganu University of Medicine and Pharmacy, 23 Gheorghe Marinescu Street, Cluj-Napoca 400337, Romania. mocan.andrei@umfcluj.ro.
4
Department of Pharmacognosy, Iuliu Hatieganu University of Medicine and Pharmacy, 12 Ion Creanga Street, Cluj-Napoca 400010, Romania. atoiu@umfcluj.ro.
5
Department of Pharmaceutical Technology and Biopharmacy, Iuliu Hatieganu University of Medicine and Pharmacy, 41 Victor Babes Street, Cluj-Napoca 400012, Romania. tomutaioan@umfcluj.ro.

Abstract

This study describes an innovative in-line near-infrared (NIR) process monitoring method for the quantification of the total polyphenolic content (TPC) of Ajuga genevensis dry extracts. The dry extract was obtained in a fluidized bed processor, by spraying and adsorbing a liquid extract onto an inert powder support. NIR spectra were recorded continuously during the extract's spraying process. For the calibration of the in-line TPC quantification method, samples were collected during the entire process. The TPC of each sample was assessed spectroscopically, by applying a UV-Vis reference method. The obtained values were further used in order to develop a quality OPLS prediction model by correlating them with the corresponding NIR spectra. The final dry extract registered good flowability and compressibility properties, a concentration in active principles three times higher than the one of the liquid extract and an overall process yield of 85%. The average TPC's recovery of the NIR in-line prediction method, compared with the reference UV-Vis one, was 98.7%, indicating a reliable monitoring method which provided accurate predictions of the TPC during the process, permitting a good process overview and enabling us to establish the process's end point at the exact moment when the product reaches the desired TPC concentration.

KEYWORDS:

Ajuga genevensis; dry extract; fluid bed process; in-line monitoring; microNIR; near-infrared spectroscopy; total polyphenolic content

PMID:
30150579
PMCID:
PMC6225481
DOI:
10.3390/molecules23092152
[Indexed for MEDLINE]
Free PMC Article

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