Comparative analysis of spectroscopic methods for rapid authentication of hazelnut cultivar and origin

被引：2

作者：

Torres-Cobos, B. ^{[1
,2
]}

Tres, A. ^{[1
,2
]}

Vichi, S. ^{[1
,2
]}

Guardiola, F. ^{[1
,2
]}

Rovira, M. ^{[3
]}

Romero, A. ^{[3
]}

Baeten, V. ^{[4
]}

Fernandez-Pierna, J. A.

机构：

[1] Univ Barcelona, Dept Nutricio Ciencies Alimentacio & Gastron, Fac Farm & Ciencies Alimentacio, Av Prat de La Riba 171, Santa Coloma De Gramenet 08921, Spain

[2] Univ Barcelona, Inst Recerca Nutr & Seguretat Alimentaria INSA UB, Av Prat de La Riba 171, Santa Coloma De Gramenet 08921, Spain

[3] Inst Agrifood Res & Technol IRTA, Ctra Reus El Morell Km 3-8, Constanti 43120, Spain

[4] Walloon Agr Res Ctr, Knowledge & Valorizat Agr Prod Dept, Qual & Authenticat Prod Unit, Chaussee Namur 24, B-5030 Gembloux, Belgium

来源：

SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY | 2025年 / 326卷

关键词：

Hazelnut; Geographical origin; Varietal; Authentication; Near infrared spectroscopy (NIR); Handheld near infrared (hNIR); Medium infrared spectroscopy (MIR); PLS-DA; CORYLUS-AVELLANA; INFRARED-SPECTROSCOPY; CLASSIFICATION; NIR; RAMAN; FTIR;

D O I：

10.1016/j.saa.2024.125367

中图分类号：

O433 [光谱学];

学科分类号：

0703 ; 070302 ;

摘要：

Hazelnut market prices fluctuate significantly based on cultivar and provenance, making them susceptible to counterfeiting. To develop an accurate authentication method, we compared the performances of three spectroscopic methods: near infrared (NIR), handheld near infrared (hNIR), and medium infrared (MIR), on over 300 samples from various origins, cultivars, and harvest years. Spectroscopic fingerprints were used to develop and externally validate PLS-DA classification models. Both cultivar and origin models showed high accuracy in external validation. The hNIR model effectively distinguished cultivars but struggled with geographic distinctions due to lower sensitivity. NIR and MIR models showed over 93% accuracy, with NIR slightly outperforming MIR for geographic origin. NIR proved to be a fast and suitable tool for hazelnut authentication. This study is the first to systematically compare spectroscopic tools for authenticating hazelnut cultivar and origin using the same dataset, offering valuable insights for future food authentication applications.

引用

页数：9

共 45 条

[1] Authentication of Sorrento Walnuts by NIR Spectroscopy Coupled with Different Chemometric Classification Strategies [J].