NIR Spektroskopisi Kullanılarak Bütün Haldeki Newton Domates Çeşidinde C Vitamini ve Likopen İçeriğinin Tahribatsız Tespiti

Öz

Likopen ve C vitamini, domateste iki hayati bileşendir. Bu bileşenlerin yaygın parçalama yöntemleri ile analitik olarak ölçülmesi pahalı ve zaman alıcıdır. Bu çalışmada, 930-1650nm aralığında yakın kızılötesi (NIR) spektroskopi kullanımı, bütün haldeki Newton çeşidi domateslerinin likopen ve C vitamini içeriğini ölçmek için değerlendirilmiştir. Spektral verilere dayanan ve yaygın parçalama yöntemleri ile elde edilen analitik ölçümlere dayanan tahmin modelleri geliştirmek için, kısmi en küçük kareler (PLS) regresyonu kullanılmıştır. Modellemeden önce, spektrumdaki alakasız verileri azaltmak için bazı ön işleme teknikleri de kullanılmıştır. Modellerin tahmin doğruluğu, çapraz doğrulama karekök kare hatası (RMSECV), korelasyon katsayısı (r_cv) ve rezidüel tahmin sapması (RPD) kullanılarak değerlendirilmiştir. Likopen ve C vitamini içeriği için en iyi tahmin modelleri, sırasıyla RMSECV değeri 2.256 µg/g ve 1.087 mg/100g; 0.8v ve 0.818 r_cv ve 1.835 ve 1.701 RPD olarak bulunmuştur. Sonuçlar, NIR spektroskopisinin, bütün haldeki domatesin sırasıyla likopen ve C vitamini içeriklerini, iyi ve adil bir doğrulukla tahmin edebileceğini göstermektedir.

Anahtar Kelimeler

• NIR spektroskopisi,Likopen,Domates,C Vitamini

Non-destructive determination of vitamin C and lycopene contents of intact cv. Newton tomatoes using NIR spectroscopy

Abstract

Lycopene and vitamin C are two vital compositions of tomatoes. Analytical quantification of these components using common destructive methods is expensive and time consuming. In this study, the feasibility of using near-infrared (NIR) spectroscopy at the range of 930-1650nm was assessed to measure the lycopene and vitamin C contents of intact cv. Newton tomatoes. To develop prediction models based on spectral data and analytical measurements achieved using common destructive methods, partial least squares (PLS) regression was utilized. Before modeling, some pre-processing techniques were also used to reduce the irrelevant data from the spectra. The prediction accuracy of the models was evaluated using root mean square error of cross validation (RMSECV), correlation coefficient (r_cv) and residual predictive deviation (RPD). The best prediction models had RMSECV of 2.256 µg g^-1 and 1.087 mg 100g^-1, r_cv of 0.840 and 0.818, and RPD of 1.835 and 1.701 for lycopene and vitamin C contents, respectively. Results indicated that NIR spectroscopy can predict the lycopene and vitamin C contents of tomato non-destructively with good and fair accuracy, respectively.

Keywords

• NIR spectroscopy,Lycopene,Tomato,Vitamin C

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