Using near-Infrared Spectroscopy to Investigate the Amylose Content in Rice

Nowadays, there are many breeding program to improve the quality of rice since the direct measurement (iodine colorimetric) is time consuming, complex and environmentally unfriendly. The objective of this study was to analyze the amylose content (AC) in several types of local rice and import rice in Malaysia. Next is to investigate suitable rice intake for diabetic patient. In this study, non-destructive method by using Near-Infrared Spectroscopy (NIRS) was used to measure the amylose content of single rice grain for milled rice and brown rice. The result showed that the AC for the brown rice was higher than basmati rice followed by local white rice. Therefore, the high amylose content is most suitable for the diabetic patient. Thus, NIRS was a convenient way to screen the quality of rice as well as increase the global competitive for farmers in agriculture field.

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The assessment of amylose content using near infrared spectroscopy analysis of rice grain samples

2013 IEEE Conference on Open Systems (ICOS) ◽

10.1109/icos.2013.6735043 ◽

2013 ◽

Author(s):

Syahira Ibrahim ◽

Herlina Abdul Rahim

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Amylose Content ◽

Rice Grain ◽

Spectroscopy Analysis

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Textile Recognition and Sorting for Recycling at an Automated Line Using Near Infrared Spectroscopy

Recycling ◽

10.3390/recycling6010011 ◽

2021 ◽

Vol 6 (1) ◽

pp. 11

Author(s):

Kirsti Cura ◽

Niko Rintala ◽

Taina Kamppuri ◽

Eetta Saarimäki ◽

Pirjo Heikkilä

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Nir Spectroscopy ◽

Automated Recognition ◽

Textile Materials ◽

Input Material ◽

Adequate Quality ◽

Automated Line

In order to add value to recycled textile material and to guarantee that the input material for recycling processes is of adequate quality, it is essential to be able to accurately recognise and sort items according to their material content. Therefore, there is a need for an economically viable and effective way to recognise and sort textile materials. Automated recognition and sorting lines provide a method for ensuring better quality of the fractions being recycled and thus enhance the availability of such fractions for recycling. The aim of this study was to deepen the understanding of NIR spectroscopy technology in the recognition of textile materials by studying the effects of structural fabric properties on the recognition. The identified properties of fabrics that led non-matching recognition were coating and finishing that lead different recognition of the material depending on the side facing the NIR analyser. In addition, very thin fabrics allowed NIRS to penetrate through the fabric and resulted in the non-matching recognition. Additionally, ageing was found to cause such chemical changes, especially in the spectra of cotton, that hampered the recognition.

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