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Jurnal Indah Sains dan Klinis
Article . 2022 . Peer-reviewed
License: CC BY NC SA
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Evaluasi Konsentrasi Karboksimetilselulosa Alginat Formula Pasta Gigi Antiseptik Ekstrak Etanol Daun Seledri (Apium graveolens L.)

Authors: Samran; Suprianto; Muhammad Gunawan; Melati Yulia Kusumastuti;

Evaluasi Konsentrasi Karboksimetilselulosa Alginat Formula Pasta Gigi Antiseptik Ekstrak Etanol Daun Seledri (Apium graveolens L.)

Abstract

Maceration of Celery leaves using 96% ethanol solvent was used to make the extract. Toothpaste is formulated with carboxymethylcellulose and alginate binders. The active ingredient in the form of ethanol extract from Celery leaves has the potential for antibacterial. This study was to evaluate the concentration of carboxymethylcellulose alginate in the preparation of antiseptic toothpaste of ethanol extract from Celery leaves. Evaluation of production results consisted of organoleptic, homogeneity, spreadability, foam formation, acidity and viscosity. The higher the concentration of carboxymethylcellulose, the lower the foam and spreadability and the higher the viscosity, while the alginate concentration is the opposite. Carboxymethylcellulose alginate affects the evaluation parameters of antiseptic toothpaste preparations ethanol extract of Celery leaves

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Keywords

Evaluasi, pasta gigi, daun seledri

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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