Mr. Luiz Grossmann Profile

Luiz Grossmann

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Proceedings Article | 31 May 2017 Paper

Pharmaceutical applications using NIR technology in the cloud

Luiz Grossmann, Marco Borges

Proceedings Volume 10210, 102100S (2017) https://doi.org/10.1117/12.2264239

KEYWORDS: Medicine, Absorbance, Tablets, Spectroscopy, Calcium, Agriculture, Near infrared, New and emerging technologies, Signals intelligence, Chemical analysis, Life sciences, Analytics, Industrial chemicals, Chemometrics, Statistical analysis

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NIR technology has been available for a long time, certainly more than 50 years. Without any doubt, it has found many niche applications, especially in the pharmaceutical, food, agriculture and other industries due to its flexibility. There are a number of advantages over other existing analytical technologies we can list, for example virtually no need for sample preparation; usually NIR does not demand sample destruction and subsequent discard; NIR provides fast results; NIR does not require extensive operator training and carries small operating costs. However, the key point about NIR technology is the fact that it´s more related to statistics than chemistry or, in other words, we are more concerned about analyzing and distinguishing features within the data than looking deep into the chemical entities themselves. A simple scan reading in the NIR range usually involves huge inflows of data points. Usually we decompose the signals into hundreds of predictor variables and use complex algorithms to predict classes or quantify specific content. NIR is all about math, especially by converting chemical information into numbers. Easier said than done. A NIR signal is a very complex one. Usually the signal responses are not specific to a particular material, rather, each group´s responses add up, thus providing low specificity of a spectral reading. This paper proposes a simple and efficient method to analyze and compare NIR spectra for the purpose of identifying the presence of active pharmaceutical ingredients in finished products using low cost NIR scanning devices connected to the internet cloud.

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