Penentuan Pola Peningkatan Kekerasan Kulit Buah Manggis Selama Penyimpanan Dingin Dengan Metode NIR Spectroscopy
Abstract
Abstract
Pericarp hardening of mangosteen fruit has correlation with the decrease in moisture content due to transpiration and respiration during storage. The change of pericarp moisture content during storage may be determined nondestructively using near infrared (NIR) spectroscopy. The objectives of this study were to build calibration model of NIR reflectance to predict the moisture content of the pericarp, and to determine the pattern of pericarp hardening based on change of moisture content during storage using NIR reflectance. NIR reflectance spectra were obtained from fruits stored at 8ºC, 13ºC, and room temperature. Calibrations were built using partial least squares (PLS) and artificial neural network (ANN) models. Results of analysis indicated that pericarp moisture content could be predicted well by NIR reflectance using the calibration model of PLS for mangosteen stored at 8ºC, 13ºC, and room temperature. The pattern of pericarp hardening based on change of moisture content also could be determined using NIR reflectance for mangosteen stored at 13ºC and room temperature.
Keywords : mangosteen fruit, pericarp hardening, moisture content NIR spectroscopy, PLS, ANN
Abstrak
Pengerasan kulit buah manggis memiliki korelasi dengan penurunan kadar air kulit buah akibat dari proses transpirasi dan respirasi buah selama penyimpanan. Perubahan kadar air kulit buah selama penyimpanan bisa ditentukan secara non-destutive dengan menggunakan near infrared (NIR) spectroscopy. Tujuan penelitian ini adalah menyusun model kalibrasi reflektan NIR untuk memprediksi kadar air kulit buah manggis, serta untuk menentukan model pengerasan kulit buah berdasarkan perubahan kadar air selama penyimpanan menggunakan reflektan NIR. Spektra reflektan NIR diambil dari buah manggis yang disimpan pada suhu 8oC, 13oC dan suhu ruang. Kalibrasi dibangun dengan menggunakan model partial least squares (PLS) dan artificial neural network (ANN). Hasil analisis mengindikasikan bahwa kadar air kulit buah dapat diprediksi secara baik dengan reflektan NIR menggunakan model kalibrasi PLS untuk buah manggis yang disimpan pada suhu 8oC, 13oC dan suhu ruang. Model pengerasan kulit buah berdasarkan perubahan kadar airnya juga dapat ditentukan dengan reflektan NIR untuk buah manggis yang disimpan pada suhu 13oC dan suhu ruang.
Kata kunci : buah manggis, pengerasan kulit, NIR spectroscopy, PLS, ANN
Diterima: 19 Oktober 2010; Disetujui: 10 Maret 2011
Authors
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