Prediction of acrylamide content in potato chips using near-infrared spectroscopy

Chuanqi Xie; Changyan Wang; Mengyao Zhao; Liming Zhao

doi:10.1016/j.saa.2023.122982

Prediction of acrylamide content in potato chips using near-infrared spectroscopy

Spectrochim Acta A Mol Biomol Spectrosc. 2023 Nov 15:301:122982. doi: 10.1016/j.saa.2023.122982. Epub 2023 Jun 5.

Authors

Chuanqi Xie¹, Changyan Wang², Mengyao Zhao³, Liming Zhao⁴

Affiliations

¹ State Key Laboratory of Bioreactor Engineering, School of Biotechnology, East China University of Science and Technology, Shanghai 200237, China; State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, The Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
² State Key Laboratory of Bioreactor Engineering, School of Biotechnology, East China University of Science and Technology, Shanghai 200237, China.
³ State Key Laboratory of Bioreactor Engineering, School of Biotechnology, East China University of Science and Technology, Shanghai 200237, China. Electronic address: myzhao@ecust.edu.cn.
⁴ State Key Laboratory of Bioreactor Engineering, School of Biotechnology, East China University of Science and Technology, Shanghai 200237, China; Shanghai Collaborative Innovation Center for Biomanufacturing Technology (SCICBT), Shanghai 200237, China. Electronic address: zhaoliming@ecust.edu.cn.

PMID: 37315502
DOI: 10.1016/j.saa.2023.122982

Abstract

Acrylamide (ACR), a neurotoxin with carcinogenic properties that can affect fertility, is commonly found in fried and baked foods such as potato chips. This study was carried out to predict the ACR content in fried and baked potato chips using near-infrared (NIR) spectroscopy. Effective wavenumbers were identified using competitive adaptive reweighted sampling (CARS) and the successive projections algorithm (SPA). Six wavenumbers (12799 cm^-1, 12007 cm^-1, 10944 cm^-1, 10943 cm^-1, 5801 cm^-1, and 4332 cm^-1) were selected using the ratio (λ_i/λ_j) and difference (λ_i-λ_j) of any two wavenumbers from the CARS and SPA results. First, partial least squares (PLS) models were established based on full spectral wavebands (12799-4000 cm^-1), and the prediction models were subsequently redeveloped based on effective wavenumbers to predict ACR content. Results showed that the full and selected wavenumbers-based PLS models obtained the coefficient of determination (R²) of 0.7707 and 0.6670, respectively, and the root mean square errors of prediction (RMSEP) of 53.0442 μg/kg and 64.3810 μg/kg, respectively, in the prediction sets. The results of this work demonstrate the suitability of NIR spectroscopy as a non-destructive method for predicting ACR content in potato chips.

Keywords: Acrylamide; Effective wavenumbers; NIR spectroscopy; Potato chips; Prediction.

MeSH terms

Acrylamide*
Algorithms
Food
Least-Squares Analysis
Spectroscopy, Near-Infrared* / methods

Substances

Acrylamide