Literature DB >> 28941412

Rapid determination of crocins in saffron by near-infrared spectroscopy combined with chemometric techniques.

Shuailing Li1, Qingsong Shao2, Zhonghua Lu3, Chengli Duan4, Haojun Yi5, Liyang Su4.   

Abstract

Saffron is an expensive spice. Its primary effective constituents are crocin I and II, and the contents of these compounds directly affect the quality and commercial value of saffron. In this study, near-infrared spectroscopy was combined with chemometric techniques for the determination of crocin I and II in saffron. Partial least squares regression models were built for the quantification of crocin I and II. By comparing different spectral ranges and spectral pretreatment methods (no pretreatment, vector normalization, subtract a straight line, multiplicative scatter correction, minimum-maximum normalization, eliminate the constant offset, first derivative, and second derivative), optimum models were developed. The root mean square error of cross-validation values of the best partial least squares models for crocin I and II were 1.40 and 0.30, respectively. The coefficients of determination for crocin I and II were 93.40 and 96.30, respectively. These results show that near-infrared spectroscopy can be combined with chemometric techniques to determine the contents of crocin I and II in saffron quickly and efficiently.
Copyright © 2017 Elsevier B.V. All rights reserved.

Keywords:  Chemometric techniques; Crocin I; Crocin II; Near-infrared spectroscopy; Partial least squares regression; Saffron

Mesh:

Substances:

Year:  2017        PMID: 28941412     DOI: 10.1016/j.saa.2017.09.030

Source DB:  PubMed          Journal:  Spectrochim Acta A Mol Biomol Spectrosc        ISSN: 1386-1425            Impact factor:   4.098


  3 in total

1.  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 2.  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

3.  Field Application of a Vis/NIR Hyperspectral Imaging System for Nondestructive Evaluation of Physicochemical Properties in 'Madoka' Peaches.

Authors:  Kyeong Eun Jang; Geonwoo Kim; Mi Hee Shin; Jung Gun Cho; Jae Hoon Jeong; Seul Ki Lee; Dongyoung Kang; Jin Gook Kim
Journal:  Plants (Basel)       Date:  2022-09-05
  3 in total

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