Detecting Beef Tallow adulteration in Palm Oil with NIR Spectroscopy and Chemometrics Analysis

被引：0

作者：

Khir, Mohd Fared Abdul ^{[1
]}

Marzuki, Nur Zahidah Syahirah ^{[2
]}

Tuhaime, Nur Azera ^{[2
]}

Basri, Katrul Nadia ^{[2
,3
]}

Hussain, Mutia Nurulhusna ^{[2
,4
]}

机构：

[1] Univ Sains Islam USIM, Fac Sci & Technol, Nilai 71800, Negeri Sembilan, Malaysia

[2] Mimos Berhad, Photon R&D, Technol Pk Malaysia, Kuala Lumpur 57000, Malaysia

[3] Univ Teknol MARA UiTM, Ctr Engn, Shah Alam 40450, Selangor, Malaysia

[4] Univ Putra Malaysia, Inst Penyelidikan Prod Halal, Serdang 43400, Selangor, Malaysia

来源：

INTERNATIONAL JOURNAL OF INTEGRATED ENGINEERING | 2018年 / 10卷 / 01期

关键词：

NIR spectroscopy; Chemometrics; R; Adulteration; Palm Oil;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The NIR spectroscopy combined with chemometrics analysis has started to gain interest in the food industry for its rapid and non-destructive advantage. We report our result in investigating the capability of the NIR spectroscopy and chemometrics analysis in classifying pure palm oil samples from the one adulterated with beef tallow. The result analyzed using the open source R software has shown that the adulterated palm oil samples with adulteration of 0.5 % and above were correctly classified

引用

页码：157 / 160

页数：4

共 12 条

[1]

Abdul Khir M. F., 2014, P INT C IM PROC COMP

[2] Plant analysis using near infrared reflectance spectroscopy: the potential and the limitations [J].

Batten, GD .

AUSTRALIAN JOURNAL OF EXPERIMENTAL AGRICULTURE, 1998, 38 (07) :697-706

[3]

Bazar G, 2010, P 14 INT C NIR SPECT

[4] Detecting and quantifying sunflower oil adulteration in extra virgin olive oils from the Eastern Mediterranean by visible and near-infrared spectroscopy [J].

Downey, G ;

McIntyre, P ;

Davies, AN .

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2002, 50 (20) :5520-5525

[5]

Downey G., 2002, NEAR INFRARED SPECTR, P239

[6]

Hussain M. N., 2014, P INT C INF COMM TEC

[7]

Kuhn M., 2013, APPL PREDICTIVE MODE, DOI [10.1007/978-1-4614-6849-3, DOI 10.1007/978-1-4614-6849-3]

[8] Building Predictive Models in R Using the caret Package [J].

Kuhn, Max .

JOURNAL OF STATISTICAL SOFTWARE, 2008, 28 (05) :1-26

[9]

Mevik B.-H., 2007, J STAT SOFTWARE, V18

[10]

Sun Da Wen, 2008, SPECTROSCOPIC TECHNI

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