Authors

Abstract

In the present study, we investigated the potential application of infrared technology based on near infrared reflectance spectroscopy (NIRS) as rapid, robust and non-destructive tool to determine vitamin C content of intact mango. Near infrared spectral data, in wavelength range from 1000 to 2500 nm were acquired for a total of 62 mango samples. Spectra data were enhanced using extended multiplicative scatter correction (EMSC) prior to prediction models development. Vitamin C content of intact mangoes was predicted using two different regression approaches namely principal component regression (PCR) and partial least square regression (PLSR). Prediction performances were justified using several statistical indicators namely correlation coefficient (r), root mean square error (RMSE), and residual predictive deviation (RPD) index. The results showed that vitamin C can be predicted using NIR technology with maximum r = 0.99, RMSE = 1.33 and RPD = 5.40. It may conclude that NIR technology can be applied as an alternative fast, robust and non-destructive method in determining vitamin C content of intact mango.

Abstract in Indonesian

Studi ini bertujuan untuk mengkaji potensi teknologi sinar inframerah sebagai metode alternatif baru yang cepat dan tanpa merusak untuk prediksi kadar vitamin C pada buah mangga utuh. Data spektrum inframerah diakuisisi dalam bentuk pantulan semu dengan panjang gelombang 1000 – 2500 nm untuk total 62 sampel buah mangga. Kadar vitamin C diprediksi dengan membangun model regresi berbasis metode PCR dan PLSR. Akurasi dan kehandalan model prediksi dikuantifikasi dengan parameter statistik: koefisien korelasi (r), standar error (RMSE) dan indeks kehandalan (RPD). Hasil studi menunjukkan bahwa teknologi inframerah dapat memrediksi vitamin C buah mangga dengan akurasi r = 0.99, RMSE = 1.33 dan RPD = 5.40. Dapat disimpulkan bahwa teknologi NIRS dapat diterapkan sebagai metode alternatif xang cepat dan akurat untuk prediksi vitamin C pada buah mangga utuh.