Near Infrared Spectrometry is a scientific process that utilizes near-infrared light to analyze and identify materials. Its spelling can be broken down into individual phonemes using the International Phonetic Alphabet (IPA). "neər" represents the sound "near," "ɪnˈfrærəd" represents "infrared," and "spɛkˈtrɒmət(r)i" represents "spectrometry." The phonetic transcription helps to accurately convey the sound of each syllable and assists in proper pronunciation. This technology is widely used in industries such as agriculture, pharmaceuticals, and forensics.
Near-infrared spectrometry, also known as near-infrared spectroscopy (NIRS), refers to a non-destructive analytical technique that involves the measurement of the absorption, scattering, or reflection of near-infrared light by a sample. It is a form of spectroscopy that focuses on the wavelength range of electromagnetic radiation between approximately 780 to 2500 nanometers.
In this technique, a near-infrared light source emits a broad spectrum of light onto the sample, and the light interacts with the molecular components of the sample at the atomic level. The wavelengths absorbed or reflected by the sample are then measured by a detector, and the resulting data is used for qualitative and quantitative analysis.
Near-infrared spectrometry is widely used in various fields such as pharmaceuticals, food and agriculture, forestry, environmental monitoring, and biomedical research. It has numerous applications, including chemical analysis, material identification, quality control, process monitoring, and drug formulation analysis.
One significant advantage of near-infrared spectrometry is its non-destructive nature, as it does not require sample preparation or alteration. It is also relatively fast, allowing for real-time or near-real-time monitoring. Furthermore, it is highly versatile, as it can be applied to a wide range of samples, including liquids, solids, and gases.
Overall, near-infrared spectrometry is a valuable analytical technique that provides non-invasive, rapid, and versatile analysis of samples across various scientific and industrial fields, enabling researchers and professionals to gain insights into composition, quality, and other important properties.