Please use this identifier to cite or link to this item:
Title: Characterization of Indonesian Traditional Alcoholic Beverages by Near Infrared Spectroscopy with Neural Network Analysis
Authors: Kuswanti, Puji
Setiawan, Andreas
Rondonuwu, Ferdy Semuel
Sutresno, Adita
Keywords: alcohol;NIR;spectra;artificial neural network
Issue Date: 1-Dec-2010
Publisher: In Collaboration Universitas Gadjah Mada; University; Sichuan Agricultural University; Kasetsart University
Abstract: alcoholic beverages sometimes contain not only ethanol but also methanol or other toxic agents. With the increased importance of quality assurance in alcoholic beverages industries. Near Infra Red (NIR) spectroscopy has become an important quantitative tool for solvent characterization. This research focuses on the analysis of Indonesian traditional alcoholic beverages by near-infrared spectroscopy. The purpose is to determine the specific nature of each sample and to classify into groups with similar characteristics. Optical characterization gives us information about their light absorbance spectra in the near-infrared region. Research using NIR on traditional alcoholic beverages indicates that some traditional homemade alcoholic drinks contain 13 to 30 percent alcohol. Comparison is made with artificial neural network (ANN) in determining the content of beverages
Description: International Conference “Food Safety and Food Security”, Yogyakarta, 1st-4th December 2010
Appears in Collections:Published Research Reports

Files in This Item:
File Description SizeFormat 
PROS_Puji K-Andreas Setiawan-Ferdy S Rondonuwu-Adita Sutresno_Characterization of Indonesia_Abstrak.pdfAbstract194.64 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.