Journal
FOOD CHEMISTRY
Volume 229, Issue -, Pages 458-463Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2017.02.082
Keywords
Squid (Illex argentinus); Formaldehyde; Tri-step infrared spectroscopy; Partial least squares; Spectral curve-fitting analysis; Quantitative detection model
Funding
- National Natural Science Foundation of China [31401571]
- Natural Science Foundation of Shanghai [14ZR1420000]
- Key Projects in the National Science & Technology Pillar Program [2015BAD17B01, 2015BAD17B02]
- Thermo Fisher Scientific Inc. (China) [D-8006-15-0009]
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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 2927 cm(-1) (v(as)(CH2)), 1081 cm(-1) (glycogen), 1631 cm(-1) (beta-sheet proteins) decreased while 1655 cm(-1) (cc-helix proteins) increased. Spectral curve-fitting results further disclosed that beta-sheet proteins were transformed to alpha-helix and beta-turn conformations. Furthermore, a quantitative prediction model based on IR spectra was established by PLS (R-2, 0.9787; RMSEC, 5.51). The developed method was applicable for rapid (c.a. 5 min) and quantitative analysis of formaldehyde in squids with LOD of 15 mg/kg. (C) 2017 Elsevier Ltd. All rights reserved.
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