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In chemistry, a chemical test is qualitative or semi-quantitative procedure designed to prove the existence of a chemical compound or chemical group with the aid of a specific reagent. Subcategories This category has the following 3 subcategories, out of 3 total.
Seliwanoff's test differentiates between aldose and ketose sugars; Test for lipids: add ethanol to sample, then shake; add water to the solution, and shake again. If fat is present, the product turns milky white. The Sakaguchi test detects the presence of arginine in protein; The Hopkins–Cole reaction tests for the presence of tryptophan in ...
Chemometrics is the science of extracting information from chemical systems by data-driven means. Chemometrics is inherently interdisciplinary, using methods frequently employed in core data-analytic disciplines such as multivariate statistics, applied mathematics, and computer science, in order to address problems in chemistry, biochemistry, medicine, biology and chemical engineering.
A test method is a method for a test in science or engineering, such as a physical test, chemical test, or statistical test. It is a definitive procedure that produces a test result. [ 1 ] In order to ensure accurate and relevant test results, a test method should be "explicit, unambiguous, and experimentally feasible.", [ 2 ] as well as ...
The SMILES notation is described extensively in the SMILES theory manual provided by Daylight Chemical Information Systems and a number of illustrative examples are presented. Daylight's depict utility provides users with the means to check their own examples of SMILES and is a valuable educational tool.
Test tubes of samples are often loaded into racks. These racks can be inserted directly into some analysers or, in larger labs, moved along an automated track. More manual methods include inserting tubes directly into circular carousels that rotate to make the sample available. Some analysers require samples to be transferred to sample cups.
For example, the ionic strength of the solution can have an effect on the activity coefficients of the analytes. [3] [4] The most common approach for accounting for matrix effects is to build a calibration curve using standard samples with known analyte concentration and which try to approximate the matrix of the sample as much as possible. [2]