Literature DB >> 28372201

A rapid analytical and quantitative evaluation of formaldehyde in squid based on Tri-step IR and partial least squares (PLS).

Dong-Chen Gu1, Meng-Jun Zou2, Xiao-Xi Guo1, Pan Yu2, Zhi-Wei Lin2, Tu Hu2, Ya-Fen Wu2, Yuan Liu1, Jian-Hong Gan2, Su-Qin Sun3, Xi-Chang Wang4, Chang-Hua Xu5.   

Abstract

Formaldehyde abuse for retaining squid freshness is detrimental to public health. The aim is to establish a rapid and quantitative detection method of formaldehyde in squid for screening massive samples. A linear relationship between formaldehyde concentration in squid and formaldehyde concentration in squid soaked water was observed using HPLC. Chemical profile variances of squids were rapidly analyzed by Tri-step infrared spectroscopy. Specifically, with increasing formaldehyde concentration, peak intensities of 2927cm-1 (vas(CH2)), 1081cm-1 (glycogen), 1631cm-1 (β-sheet proteins) decreased while 1655cm-1 (α-helix proteins) increased. Spectral curve-fitting results further disclosed that β-sheet proteins were transformed to α-helix and β-turn conformations. Furthermore, a quantitative prediction model based on IR spectra was established by PLS (R2, 0.9787; RMSEC, 5.51). The developed method was applicable for rapid (c.a. 5min) and quantitative analysis of formaldehyde in squids with LOD of 15mg/kg.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Formaldehyde; Partial least squares; Quantitative detection model; Spectral curve-fitting analysis; Squid (Illex argentinus); Tri-step infrared spectroscopy

Mesh:

Substances:

Year:  2017        PMID: 28372201     DOI: 10.1016/j.foodchem.2017.02.082

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


  2 in total

1.  Geographical origin traceability of Cabernet Sauvignon wines based on Infrared fingerprint technology combined with chemometrics.

Authors:  Xiao-Zhen Hu; Si-Qi Liu; Xiao-Hong Li; Chuan-Xian Wang; Xin-Lu Ni; Xia Liu; Yang Wang; Yuan Liu; Chang-Hua Xu
Journal:  Sci Rep       Date:  2019-06-04       Impact factor: 4.379

Review 2.  Research Progress of Applying Infrared Spectroscopy Technology for Detection of Toxic and Harmful Substances in Food.

Authors:  Wenliang Qi; Yanlong Tian; Daoli Lu; Bin Chen
Journal:  Foods       Date:  2022-03-23
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.