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Furijeova transformacija spektroskopije u bliskoj infracrvenoj oblasti za nedestruktivno i brzo merenje sadržaja vlage u zrnu pirinča

dc.contributor.authorRavi, Pandiselvam
dc.contributor.authorVenkatachalam, Thirupathi
dc.contributor.authorPalanisamy, Vennila
dc.date.accessioned2015-03-01T11:39:33Z
dc.date.available2015-03-01T11:39:33Z
dc.identifier.urihttp://arhiva.nara.ac.rs/handle/123456789/97
dc.description.abstractThe accurate measurement of moisture content of paddy is essential for the effective supervision of its quality. The feasibility of measuring moisture content in paddy was investigated by Fourier Transform Near-Infrared (FT-NIR) spectroscopic technique. A calibration model was developed using paddy standards of varying moisture content in the near-infrared region (4000–12000 cm-1). The developed model was validated. FT-NIR spectroscopy with chemometrics, using the PLS–first derivative plus vector normalization method could predict the moisture content in paddy samples accurately up to an correlation coefficient (R2) value greater than 0.97, RPD (residual predictive deviation) greater than 6 and root mean square error of cross validation (RMSECV) value less than 0.5 with 5 factors in the prediction model. The developed model was applied to predict moisture content in paddy samples within 10-12 seconds. The developed procedure was further validated by recovery studies by comparing with oven method and indirect method (digital moisture meter) of moisture determination.en
dc.description.abstractTačno merenje sadržaja vlage u celom zrnu pirinča je osnova efikasne kontrole njegovog kvaliteta. Primenjivost merenja vlage u celom zrnu pirinča bilo je ispitivano Furijeovom transformacijom sprektroskopske tehnike u bliskoj infracrvenoj oblasti (FT-NIR). Kalibracioni model je razvijen upotrebom standarda variranja sadržaja vlage za pirinač u bliskoj IC oblasti (4000–12000 cm-1). Razvijeni model je ocenjen. FT-NIR spektroskopija sa hemometrijom, upotrebom PLS–prvih derivata plus metod normalizacije vektora može da predvidi sadržaj vlage u uzorcima pirinča sa tačnošću do koeficijenta korelacije (R2) većeg od 0.97, RPD (rezidualna devijacija predviđanja) veća od 6 i greška korena srednjeg kvadrata unakrsne validacije (RMSECV) manja od 0.5 sa 5 faktora u prediktivnom modelu. Razvijeni model bio je primenjen da predvidi sadržaj vlage u uzorcima pirinča za 10-12 sekundi. Razvijeni postupak dalje je ocenjivana povratnim studijama poređenjem sa metodom rerne i indirektnim metodom (digitalni merač vlage) za određivanje vlažnosti.sr
dc.subjectvalidationen
dc.subjectNIR Spectroscopyen
dc.subjectPLS factoren
dc.subjectpaddyen
dc.subjectchemometricsen
dc.subjectmoisture contenten
dc.subjectcalibrationen
dc.subjectNIR spektroskopijasr
dc.subjecthemometrija
dc.subjectpirinačsr
dc.subjectsadržaj vlagesr
dc.subjectkalibracijasr
dc.subjectvalidacijasr
dc.subjectPLS faktorsr
dc.titleFourier Transform Near - Infrared Spectroscopy for Nondestructive and Rapid Measurement of Moisture Content of Paddyen
dc.title.alternativeFurijeova transformacija spektroskopije u bliskoj infracrvenoj oblasti za nedestruktivno i brzo merenje sadržaja vlage u zrnu pirinčasr


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  • Issue 2014-3.
    www.jageng.agrif.bg.ac.rs/files/casopis/PT_03-2014.pdf

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