In research there are different types of data, not all of it is numerical. Certain scientific and engineering data uses light spectrums and wavelengths to understand their data. Some analysis is undertaken using spectroscopic data, which looks at the actions between energy and light to perform an analysis of the data in question. Spectroscopy is a type of analysis that is used in the identification of the atmospheres, stars and planets, it’s used for gas analysis, and analysing the composition of a substance through the analysis of a spectrum of light that emanates from it.
Spectroscopic analysis is used by scientists and engineers to understand the meaning of the data and its implications for further research and development. Researchers use different types of instruments to obtain results and undertake a spectroscopic analysis, infrared spectroscopy concentrates mainly on the identification of compounds and sample composition. Near infrared spectroscopy is mainly used in food, agricultural and pharmaceutical quality control. Raman spectroscopy employs laser technology to study low frequency action in chemistry and condensed matter physics, this article concentrates on the spectrophotometer
A spectrophotometer is an instrument for measuring the intensity of light and measure that as a function of the light’s colour and wavelength.
There are two parts to the spectrophotometer is actually two separate instruments, a spectrometer that is designed to produce light of whatever colour or wavelength and a photometer for measuring the light’s intensity by sending a votage signal to a galvanometer, a type of display unit. The spectrometer produces a spectrum of lines that allow the researcher to measure the wavelengths and intensity of the colour of the light. The instrument allows for advanced data processing and comparison that is indispensable to scientists and engineers engaged on a range of projects. The photometer is the tool that delivers the picture or plot of data to the display device; both are used by scientists and engineers employing multivariate data analysis methods.
