Determining the Geographic Origin of Potatoes with Trace Metal Analysis Using Statistical and Neural Network Classifiers

Abstract

The objective of this research was to develop a method to confirm the geographical authenticity of Idaho-labeled potatoes as Idaho-grown potatoes. Elemental analysis (K, Mg, Ca, Sr, Ba, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Mo, S, Cd, Pb, and P) of potato samples was performed using ICPAES. Six hundred eight potato samples were collected from known geographic growing sites in the U.S. and Canada. An exhaustive computational evaluation of the 608 x 18 data sets was carried out using statistical (PCA, CDA, discriminant function analysis, and k-nearest neighbors) and neural network techniques. The neural network classification of the samples into two geographic regions (defined as Idaho and non-Idaho) using a bagging technique had the highest percentage of correct classifications, with a nearly 100% degree of accuracy. We report the development of a method combining elemental analysis and neural network classification that may be widely applied to the determination of the geographical origin of unprocessed, fresh commodities.

Chemometric Techniques on Inorganic Elements Composition for the Determination of the Geographic Origin of Welsh Onions

“…When predicting place-of-origin of an unknown sample using some origin-known samples, chemometric techniques such as K-nearest neighbors (KNN), 2 LDA, 2,10 SIMCA 2,4 and artificial neural networks (ANN) 2,15 are often applied as suitable and effective techniques. These are supervised pattern recognition techniques that establish models with analytical data from samples known place-of-origins.…”

The Determination Technique of the Geographic Origin of Welsh Onions by Mineral Composition and Perspectives for the Future

“…Determination of the geographic origin of agricultural products by scientific techniques 1. Scientific techniques for determining the geographic origin of agricultural products Reports on scientific techniques for determining the geographic origin of agricultural products have been increasing since the 1980s.…”

Discrimination of Geographical Indication Products from Yogyakarta Special Region Using Mineral Content

“…Diantara berbagai parameter pendiskriminasi yang diperoleh dengan metode analitik, kandungan mineral merupakan salah satu parameter yang sering digunakan untuk mengidentifikasi asal geografis berbagai produk pangan, baik produk pangan segar seperti beras (Cheajesadagul, Arnaudguilhem, Shiowatana, Siripinyanond, & Szpunar, 2013;Chung, Kim, Lee, & Kim, 2015;Gonzálvez, Armenta, & De La Guardia, 2011;Li et al, 2013;Maione, Lemos, Dobal, Barbosa, & Melgaço, 2016;Suzuki, Chikaraishi, Ogawa, Ohkouchi, & Korenaga, 2008), kentang (Giacomo, Del Signore, & Giaccio, 2007;Keppler & Hamilton, 2008;Sukartiko, 2012a) dan biji kopi (Anderson & Smith, 2002;Weckerle, Richling, Heinrich, & Schreier, 2002), maupun pangan olahan seperti minuman anggur (Martin et al, 1999). Menurut Anderson, Magnuson, Tschirgi, & Smith (1999), komposisi mineral buah dan sayur merupakan refleksi komposisi mineral tanah dan lingkungan dimana tanaman tersebut tumbuh. Selain itu, karena sifatnya yang stabil, kandungan mineral pada bahan pertanian relatif tidak berubah selama transportasi dan penyimpanan, sampai dengan saat dianalisis di laboratorium.…”