CQUniversity
Browse

File(s) not publicly available

Infrared methods for high throughput screening of metabolites: Food and medical applications

journal contribution
posted on 2018-08-07, 00:00 authored by Daniel Cozzolino
Chemical and physiological properties are related to individual or bioactive compounds such as essential oils, terpenoids, flavonoids, volatile compounds and other chemicals which are present in natural products in low concentrations (e.g. ppm or ppb). For many years, classical separation, chromatographic and spectrometric techniques such as high performance liquid chromatography (HPLC), gas chromatography (GC), liquid chromatography (LC) and mass spectrometry (MS) have been used for the elucidation of isolated compounds from different matrices. Hence, the use of standard separation, chromatographic and spectrometric methods was found useful in chemical and both plant and animal physiology studies, for fingerprinting and comparing natural and synthetic samples, as well as to identify single active compounds. It has been generally accepted that a single analytical technique will not provide sufficient visualization of the metabolome, hence holistic techniques are needed for comprehensive analysis. In the last 40 years near infrared (NIR) spectroscopy became one of the most attractive and used methods of analyzing agricultural related products and plant materials which provide simultaneous, rapid and non-destructive quantitation of major. This technique has been reported to determine other minor compounds in plant materials such as volatile compounds and elements. The aim of this short review is to describe some recent applications of NIR spectroscopy combined with multivariate data analysis for high throughput screening of metabolites with an emphasis on food and medical applications.

History

Volume

14

Issue

2

Start Page

125

End Page

131

Number of Pages

7

ISSN

1386-2073

Publisher

Bentham Science Publishers, Netherlands

Peer Reviewed

  • Yes

Open Access

  • No

Era Eligible

  • Yes

Journal

Combinatorial Chemistry and High Throughput Screening