Data/hora: 12/06/2024 16:59:09

Provedor de dados: 	17	
País: 	United Kingdom	
Título: 	NIR Calibrations for Soybean Seeds and Soy Food Composition Analysis: Total Carbohydrates, Oil, Proteins and Water Contents [v.2]	
Autores: 	I. C. Baianu; Jun Guo; Randall L. Nelson; Tiefeng You; Doina M. Costescu.	
Data: 	2011-11-16	
Ano: 	2011	
Palavras-chave: 	Biotechnology; Cancer; Chemistry; Developmental Biology; Genetics &amp; Genomics; Molecular Cell Biology; Pharmacology; Plant Biology.	
Resumo: 	Conventional chemical analysis techniques are expensive, time consuming, and often destructive. The non-invasive Near Infrared (NIR) technology was introduced over the last decades for wide-scale, inexpensive chemical analysis of food and crop seed composition (see Williams and Norris, 1987; Wilcox and Cavins, 1995; Buning and Diller, 2000 for reviews of the NIR technique development stage prior to 1998, when Diode Arrays were introduced to NIR). NIR spectroscopic measurements obey Lambert and Beer&amp;#x2019;s law, and quantitative measurements can be successfully made with high speed and ease of operation. NIR has been used in a great variety of food applications. General applications of products analyzed come from all sectors of the food industry including meats, grains, and dairy products (Shadow, 1998).&amp;#xd;&amp;#xa;Novel NIR calibrations for rapid, reliable and accurate composition analysis of a variety of several soy based foods and bulk soybean seeds were developed and validated in a six-year collaborative project with a large number of different samples (N &amp;#x3e;~12, 000). The availability of such calibrations is important for establishing NIR as a secondary method for composition analysis of foods and soybeans both in applications and fundamental research.	
Tipo: 	Manuscript	
Identificador: 	http://precedings.nature.com/documents/6611/version/2

oai:nature.com:10.1038/npre.2011.6611.2

http://dx.doi.org/10.1038/npre.2011.6611.2	
Fonte: 	Nature Precedings	
Fonte: 	Creative Commons Attribution 3.0 License