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Standard Solutions01:14

Standard Solutions

Standard solutions refer to solutions with a precisely known concentration or composition. A primary standard is a highly pure, high molar mass, stable substance that is entirely soluble in water, the most commonly used solvent in analytical chemistry. The primary standard solution can be used to standardize secondary standards, which are substances with known concentrations but are less pure and stable. Standard solutions are essential for achieving accurate and reliable results in analytical...
Calculating Standard Deviation01:08

Calculating Standard Deviation

The standard deviation is the most common measure of variation. It is a value that tells us how far a data value is from the mean value in a dataset. Further, the standard deviation is always a positive value or zero.
The standard deviation value is small when all the data is concentrated close to the mean. Here the data exhibits low variation. The standard deviation value is larger when the data values are more spread out from the mean. Here, the data displays high variation.       
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Diabetic Ketoacidosis l: Introduction01:25

Diabetic Ketoacidosis l: Introduction

DefinitionDiabetic ketoacidosis (DKA) is an acute, life-threatening complication of diabetes mellitus, characterized by a triad of hyperglycemia (blood glucose >250 mg/dL), ketonemia or ketonuria, and metabolic acidosis (arterial pH <7.30 and serum bicarbonate <18 mEq/L). It results from insulin deficiency combined with elevated levels of counterregulatory hormones—glucagon, catecholamines, cortisol, and growth hormone—leading to increased lipolysis, hepatic ketone production, and...
Standard Deviation01:10

Standard Deviation

The most commonly used measure of variation is the standard deviation. It is a numerical value measuring how far data values are from their mean. The standard deviation value is small when the data are concentrated close to the mean, exhibiting slight variation or spread. The standard deviation value is never negative, it is either positive or zero. The standard deviation is larger when the data values are more spread out from the mean, which means the data values are exhibiting more...

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Updated: May 22, 2026

A Reference Broth Microdilution Method for Dalbavancin In Vitro Susceptibility Testing of Bacteria that Grow Aerobically
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Standardisation of dikamali.

A Anandakumar1, R Muralidharan, M Balasubramaniam

  • 1Analytical Laboratory, Indian Medical Practitioners Co-operative Pharmacy and Stores Ltd., Adyar, Madras 600020, India.

Ancient Science of Life
|May 5, 2012
PubMed
Summary
This summary is machine-generated.

Kidamali gum, used in Indian medicine, is identified as Gardenia gummifera. This study details its botanical characteristics and chemical analysis for quality control.

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Area of Science:

  • Pharmacognosy
  • Ethnomedicine
  • Phytochemistry

Background:

  • Kidamali gum is a significant oleoresin in traditional Indian medicine.
  • Market samples of crude drugs require accurate identification and quality assessment.

Purpose of the Study:

  • To identify the source of market samples of Kidamali gum.
  • To characterize the botanical and chemical properties of Gardenia gummifera gum.

Main Methods:

  • Morphological and microscopical examination of the source plant.
  • Fluorescence analysis of the gum.
  • Thin-layer chromatography (TLC) for chemical profiling.

Main Results:

  • Market samples of Kidamali gum were identified as originating from Gardenia gummifera Linn. f. (family Rubiaceae).
  • Detailed morphological, microscopical, and fluorescence characteristics were documented.
  • TLC analysis provided a chemical fingerprint for the drug.

Conclusions:

  • Gardenia gummifera is confirmed as the source of commercial Kidamali gum.
  • The reported analyses provide a basis for the quality control of this important medicinal gum.