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Fourier Transform Near-Infrared Spectroscopy for rapid and simple determination of phytic acid content in green gram seeds (Vigna radiata).
Pande, Ranjana; Mishra, H N.
Affiliation
  • Pande R; Agricultural and Food Engineering Department, Indian Institute of Technology, Kharagpur 721302, India. Electronic address: ranjanapande@gmail.com.
  • Mishra HN; Agricultural and Food Engineering Department, Indian Institute of Technology, Kharagpur 721302, India.
Food Chem ; 172: 880-4, 2015 Apr 01.
Article in En | MEDLINE | ID: mdl-25442633
The feasibility of measuring phytic acid content in green gram (Vigna radiata) seeds was investigated by Fourier Transform Near-Infrared (FT-NIR) spectroscopic technique. Pure phytic acid standards of varying concentrations were scanned using FTNIR spectroscopy. The spectra were measured in diffused reflectance mode by keeping 100-1500 mg/100g standard of pure phytic acid in small sample cuvette. A calibration model was developed using pure phytic acid standards of varying concentrations in the near-infrared region (4000-12,000 cm(-1)). FT-NIR spectroscopy with chemometrics, using the first derivative plus vector normalisation method could predict the phytic acid content in green gram seeds samples. The developed model was validated using cross-validation technique. Maximum coefficient of determination (R(2)) value of 0.97 was obtained for the calibration model developed. The developed model was applied to predict phytic acid content in green gram seeds samples within 1-2 min. The developed procedure was further validated by recovery studies by comparing with UV spectroscopic method of phytic acid determination.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phytic Acid / Seeds / Plant Extracts / Spectroscopy, Fourier Transform Infrared / Fabaceae Type of study: Evaluation_studies / Prognostic_studies Language: En Journal: Food Chem Year: 2015 Document type: Article Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phytic Acid / Seeds / Plant Extracts / Spectroscopy, Fourier Transform Infrared / Fabaceae Type of study: Evaluation_studies / Prognostic_studies Language: En Journal: Food Chem Year: 2015 Document type: Article Country of publication: United kingdom