文献类型：期刊文献

英文题名：Prediction of acrylamide content in potato chips using near-infrared spectroscopy

作者：Xie, Chuanqi[1,2];Wang, Changyan[1];Zhao, Mengyao[1];Zhao, Liming[1,3]

机构：[1]East China Univ Sci & Technol, Sch Biotechnol, State Key Lab Bioreactor Engn, Shanghai 200237, Peoples R China;[2]Zhejiang Acad Agr Sci, Inst Anim Husb & Vet Sci, State Key Lab Managing Biot & Chem Threats Qual &, Hangzhou 310021, Peoples R China;[3]Shanghai Collaborat Innovat Ctr Biomfg Technol SCI, Shanghai 200237, Peoples R China

年份：2023

卷号：301

外文期刊名：SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

收录：;EI(收录号：20232514257254);WOS:【SCI-EXPANDED(收录号:WOS:001058276500001)】；

基金：This work was supported by the National Key Research and Devel- opment Project (2019YFD0901800) , the Key R & D Program of Zhejiang (2022C02050) , the Shanghai Pujiang Program (18J1401900) , and the National Natural Science Foundation for Young Scientists of China (31801668) .

语种：英文

外文关键词：NIR spectroscopy; Potato chips; Acrylamide; Prediction; Effective wavenumbers

摘要：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 (Ai/Aj) and difference (Ai -Aj) 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 & mu;g/kg and 64.3810 & mu;g/ 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.