Literature DB >> 24360470

On the quality control of traded saffron by means of transmission Fourier-transform mid-infrared (FT-MIR) spectroscopy and chemometrics.

Stella A Ordoudi1, Marcelino de los Mozos Pascual2, Maria Z Tsimidou3.   

Abstract

The present study aimed to extend application of the FT-MIR technique to the quality control of traded saffron that suffers various types of fraud or mislabelling. Spectroscopic data were obtained for samples stored for different periods in the dark. Samples with the highest quality according to ISO 3632 specifications produced a typical spectrum profile (reference set). Principal Component Analysis (PCA) of spectroscopic data for this set along with HPLC-DAD analysis of major apocarotenoids assisted identification of FT-IR bands that carry information about desirable sensory properties that weaken during storage. The band at 1028cm(-1), associated with the presence of glucose moieties, along with intensities in the region 1175-1157cm(-1), linked with breakage of glycosidic bonds, were the most useful for diagnostic monitoring of storage effects on the evaluation and test set samples. FT-IR was found to be a promising, sensitive and rapid tool in the fight against saffron fraud.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  FT-IR; Principal Component Analysis; Quality control; Saffron; Storage

Mesh:

Year:  2013        PMID: 24360470     DOI: 10.1016/j.foodchem.2013.11.014

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  9 in total

1.  Molecular species fingerprinting and quantitative analysis of saffron (Crocus sativus L.) for quality control by MALDI mass spectrometry.

Authors:  Donatella Aiello; Carlo Siciliano; Fabio Mazzotti; Leonardo Di Donna; Constantinos M Athanassopoulos; Anna Napoli
Journal:  RSC Adv       Date:  2018-10-23       Impact factor: 4.036

2.  Comprehensive Quality Assessment Based Specific Chemical Profiles for Geographic and Tissue Variation in Gentiana rigescens Using HPLC and FTIR Method Combined with Principal Component Analysis.

Authors:  Jie Li; Ji Zhang; Yan-Li Zhao; Heng-Yu Huang; Yuan-Zhong Wang
Journal:  Front Chem       Date:  2017-12-22       Impact factor: 5.221

3.  Discrimination and prediction of the origin of Chinese and Korean soybeans using Fourier transform infrared spectrometry (FT-IR) with multivariate statistical analysis.

Authors:  Byeong-Ju Lee; Yaoyao Zhou; Jae Soung Lee; Byeung Kon Shin; Jeong-Ah Seo; Doyup Lee; Young-Suk Kim; Hyung-Kyoon Choi
Journal:  PLoS One       Date:  2018-04-24       Impact factor: 3.240

4.  Geographical Classification of Italian Saffron (Crocus sativus L.) by Multi-Block Treatments of UV-Vis and IR Spectroscopic Data.

Authors:  Alessandra Biancolillo; Martina Foschi; Angelo Antonio D'Archivio
Journal:  Molecules       Date:  2020-05-16       Impact factor: 4.411

Review 5.  The Relation between Drying Conditions and the Development of Volatile Compounds in Saffron (Crocus sativus).

Authors:  Teresa Soledad Cid-Pérez; Guadalupe Virginia Nevárez-Moorillón; Carlos Enrique Ochoa-Velasco; Addí Rhode Navarro-Cruz; Paola Hernández-Carranza; Raúl Avila-Sosa
Journal:  Molecules       Date:  2021-11-18       Impact factor: 4.411

Review 6.  Uses of FT-MIR Spectroscopy and Multivariate Analysis in Quality Control of Coffee, Cocoa, and Commercially Important Spices.

Authors:  Lucero Azusena Castillejos-Mijangos; Aracely Acosta-Caudillo; Tzayhrí Gallardo-Velázquez; Guillermo Osorio-Revilla; Cristian Jiménez-Martínez
Journal:  Foods       Date:  2022-02-17

7.  Discrimination and Prediction of Lonicerae japonicae Flos and Lonicerae Flos and Their Related Prescriptions by Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy Combined with Multivariate Statistical Analysis.

Authors:  Yang-Qiannan Tang; Li Li; Tian-Feng Lin; Li-Mei Lin; Ya-Mei Li; Bo-Hou Xia
Journal:  Molecules       Date:  2022-07-20       Impact factor: 4.927

8.  Species discrimination and total polyphenol prediction of porcini mushrooms by fourier transform mid-infrared (FT-MIR) spectrometry combined with multivariate statistical analysis.

Authors:  Xiu-Ping Li; Jieqing Li; Tao Li; Honggao Liu; Yuanzhong Wang
Journal:  Food Sci Nutr       Date:  2020-01-14       Impact factor: 2.863

9.  Discriminant Analysis of the Geographical Origin of Asian Red Pepper Powders Using Second-Derivative FT-IR Spectroscopy.

Authors:  Miso Kim; Junyoung Hong; Dongwon Lee; Sohyun Kim; Hyang Sook Chun; Yoon-Ho Cho; Byung Hee Kim; Sangdoo Ahn
Journal:  Foods       Date:  2021-05-10
  9 in total

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