Literature DB >> 28277181

Quantitative analysis of Sudan dye adulteration in paprika powder using FTIR spectroscopy.

Santosh Lohumi1, Ritu Joshi1, Lalit Mohan Kandpal1, Hoonsoo Lee2, Moon S Kim2, Hyunjeong Cho3, Changyeun Mo4, Young-Wook Seo1, Anisur Rahman1, Byoung-Kwan Cho1.   

Abstract

As adulteration of foodstuffs with Sudan dye, especially paprika- and chilli-containing products, has been reported with some frequency, this issue has become one focal point for addressing food safety. FTIR spectroscopy has been used extensively as an analytical method for quality control and safety determination for food products. Thus, the use of FTIR spectroscopy for rapid determination of Sudan dye in paprika powder was investigated in this study. A net analyte signal (NAS)-based methodology, named HLA/GO (hybrid linear analysis in the literature), was applied to FTIR spectral data to predict Sudan dye concentration. The calibration and validation sets were designed to evaluate the performance of the multivariate method. The obtained results had a high determination coefficient (R2) of 0.98 and low root mean square error (RMSE) of 0.026% for the calibration set, and an R2 of 0.97 and RMSE of 0.05% for the validation set. The model was further validated using a second validation set and through the figures of merit, such as sensitivity, selectivity, and limits of detection and quantification. The proposed technique of FTIR combined with HLA/GO is rapid, simple and low cost, making this approach advantageous when compared with the main alternative methods based on liquid chromatography (LC) techniques.

Keywords:  FTIR spectroscopy; Sudan dye; adulteration; hybrid linear analysis; net analyte signal; paprika powder

Mesh:

Substances:

Year:  2017        PMID: 28277181     DOI: 10.1080/19440049.2017.1290828

Source DB:  PubMed          Journal:  Food Addit Contam Part A Chem Anal Control Expo Risk Assess        ISSN: 1944-0057


  5 in total

1.  Calibration and testing of a Raman hyperspectral imaging system to reveal powdered food adulteration.

Authors:  Santosh Lohumi; Hoonsoo Lee; Moon S Kim; Jianwei Qin; Lalit Mohan Kandpal; Hyungjin Bae; Anisur Rahman; Byoung-Kwan Cho
Journal:  PLoS One       Date:  2018-04-30       Impact factor: 3.240

2.  Classification Method for Viability Screening of Naturally Aged Watermelon Seeds Using FT-NIR Spectroscopy.

Authors:  Jannat Yasmin; Mohammed Raju Ahmed; Santosh Lohumi; Collins Wakholi; Moon S Kim; Byoung-Kwan Cho
Journal:  Sensors (Basel)       Date:  2019-03-08       Impact factor: 3.576

Review 3.  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

4.  Assessing the Levels of Robusta and Arabica in Roasted Ground Coffee Using NIR Hyperspectral Imaging and FTIR Spectroscopy.

Authors:  Woranitta Sahachairungrueng; Chanyanuch Meechan; Nutchaya Veerachat; Anthony Keith Thompson; Sontisuk Teerachaichayut
Journal:  Foods       Date:  2022-10-07

5.  A Novel Visual Analysis Method of Food Safety Risk Traceability Based on Blockchain.

Authors:  Zhihao Hao; Dianhui Mao; Bob Zhang; Min Zuo; Zhihua Zhao
Journal:  Int J Environ Res Public Health       Date:  2020-03-29       Impact factor: 3.390

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.