Fourier Transform Near - Infrared Spectroscopy for Nondestructive and Rapid Measurement of Moisture Content of Paddy
Furijeova transformacija spektroskopije u bliskoj infracrvenoj oblasti za nedestruktivno i brzo merenje sadržaja vlage u zrnu pirinča
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Author
Ravi, Pandiselvam
Venkatachalam, Thirupathi
Palanisamy, Vennila
Keywords
validationNIR Spectroscopy
PLS factor
paddy
chemometrics
moisture content
calibration
NIR spektroskopija
hemometrija
pirinač
sadržaj vlage
kalibracija
validacija
PLS faktor
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Show full item recordAbstract
The 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. Tačno 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.