A non-destructive determination of protein content in potato flour noodles using near-infrared hyperspectral imaging technology
•NIR Hyperspectral imaging technology was used to predict the protein content in potato flour noodles.•OSC pretreatment algorithm was beneficial to improve the PLSR prediction model.•CARS SPA and UVE were studied and compared to obtain the characteristic wavelengths.•The visualization of protein con...
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| Published in | Infrared physics & technology Vol. 130; p. 104595 |
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| Main Authors | , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.05.2023
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| Abstract | •NIR Hyperspectral imaging technology was used to predict the protein content in potato flour noodles.•OSC pretreatment algorithm was beneficial to improve the PLSR prediction model.•CARS SPA and UVE were studied and compared to obtain the characteristic wavelengths.•The visualization of protein content distribution map was realized.
Hyperspectral imaging (HSI) with the near-infrared (NIR) bands (900–2250 nm) was employed to investigate the non-destructive prediction of protein content in potato flour noodles. The protein content (8.906–10.515 %) of 120 potato flour noodles was studied to establish the prediction model. Partial least squares regression (PLSR) model was established based on the spectra of potato flour noodles to predict the protein content showing high performance. After optimization, orthogonal signal correction (OSC) was used to preprocess the original spectra, and the competitive adaptive reweighted sampling algorithm (CARS) was chosen to select characteristic wavelengths, therefore, OSC-CARS-PLSR was established. Next, 77 samples were selected as the calibration set, and the remaining 38 samples were used as the prediction set. The coefficient of determination (R2) and the root mean square error (RMSE) were used to evaluate the performance of the model. OSC-CARS-PLSR showed a high performance with R2 values of 0.9606 and 0.8925 and RMSE values of 0.070 % and 0.1385 % in the calibration set and prediction set, respectively. The visualization image was used to identify protein distribution in potato flour noodles. Overall, the results indicate that HSI technology could accurately predict the protein content in potato flour noodles providing a rapid and non-destructive method to detect protein and other compositions in grains and foods. |
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| AbstractList | •NIR Hyperspectral imaging technology was used to predict the protein content in potato flour noodles.•OSC pretreatment algorithm was beneficial to improve the PLSR prediction model.•CARS SPA and UVE were studied and compared to obtain the characteristic wavelengths.•The visualization of protein content distribution map was realized.
Hyperspectral imaging (HSI) with the near-infrared (NIR) bands (900–2250 nm) was employed to investigate the non-destructive prediction of protein content in potato flour noodles. The protein content (8.906–10.515 %) of 120 potato flour noodles was studied to establish the prediction model. Partial least squares regression (PLSR) model was established based on the spectra of potato flour noodles to predict the protein content showing high performance. After optimization, orthogonal signal correction (OSC) was used to preprocess the original spectra, and the competitive adaptive reweighted sampling algorithm (CARS) was chosen to select characteristic wavelengths, therefore, OSC-CARS-PLSR was established. Next, 77 samples were selected as the calibration set, and the remaining 38 samples were used as the prediction set. The coefficient of determination (R2) and the root mean square error (RMSE) were used to evaluate the performance of the model. OSC-CARS-PLSR showed a high performance with R2 values of 0.9606 and 0.8925 and RMSE values of 0.070 % and 0.1385 % in the calibration set and prediction set, respectively. The visualization image was used to identify protein distribution in potato flour noodles. Overall, the results indicate that HSI technology could accurately predict the protein content in potato flour noodles providing a rapid and non-destructive method to detect protein and other compositions in grains and foods. |
| ArticleNumber | 104595 |
| Author | Zhang, Jing Zhang, Dongliang Guo, Zhen Yin, Xiang Zheng, Hui Du, Juan Wang, Sihua Wang, Chenjie Ren, Zhishang Ma, Chengye |
| Author_xml | – sequence: 1 givenname: Jing surname: Zhang fullname: Zhang, Jing organization: School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, China – sequence: 2 givenname: Zhen surname: Guo fullname: Guo, Zhen organization: School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, China – sequence: 3 givenname: Zhishang surname: Ren fullname: Ren, Zhishang organization: Zibo Institute for Food and Drug Control, Zibo 255000, China – sequence: 4 givenname: Sihua surname: Wang fullname: Wang, Sihua organization: School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, China – sequence: 5 givenname: Xiang surname: Yin fullname: Yin, Xiang organization: School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, China – sequence: 6 givenname: Dongliang surname: Zhang fullname: Zhang, Dongliang organization: School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, China – sequence: 7 givenname: Chenjie surname: Wang fullname: Wang, Chenjie organization: School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, China – sequence: 8 givenname: Hui surname: Zheng fullname: Zheng, Hui organization: Gaoqing Inspection and Testing Center, Zibo 265400, China – sequence: 9 givenname: Juan surname: Du fullname: Du, Juan email: dujuan0427@163.com organization: School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, China – sequence: 10 givenname: Chengye surname: Ma fullname: Ma, Chengye email: mcycn2002@163.com organization: School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, China |
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| Cites_doi | 10.1016/j.vibspec.2017.05.001 10.1016/j.ultsonch.2020.105118 10.1007/s11947-014-1381-z 10.1016/j.vibspec.2022.103440 10.1016/j.chemolab.2011.02.008 10.1111/1541-4337.12317 10.1016/j.lwt.2019.04.095 10.1016/j.lwt.2020.109377 10.1016/j.infrared.2022.104308 10.1007/s11947-014-1357-z 10.1007/s12161-015-0122-x 10.1007/s11694-009-9088-y 10.1007/s12161-015-0147-1 10.1016/j.foodres.2013.12.009 10.1007/s11947-016-1766-2 10.1007/s00521-014-1675-0 10.1007/s11540-014-9270-4 10.1016/j.ifset.2013.04.016 10.1016/S0169-7439(98)00109-9 10.1016/j.aca.2012.03.038 10.1016/j.postharvbio.2021.111497 10.1255/jnirs.896 10.1016/j.jcs.2017.04.014 10.1016/j.foodchem.2022.134166 10.1016/j.aca.2009.06.046 10.1016/j.jfca.2021.104349 10.1016/j.foodchem.2017.07.048 10.1016/j.jfoodeng.2016.06.007 10.1016/j.saa.2021.119666 10.1016/j.saa.2022.120921 10.1016/j.infrared.2019.03.033 10.1016/j.jfoodeng.2020.110090 10.1016/j.jfoodeng.2016.07.015 10.1016/j.talanta.2019.120115 10.1016/j.lwt.2022.114015 10.1016/j.jcs.2013.07.002 10.1016/S0169-7439(01)00119-8 10.1016/j.lwt.2022.113886 10.1016/j.foodres.2011.05.001 10.1002/jcc.21351 10.1016/j.infrared.2022.104239 10.1016/j.vibspec.2022.103447 10.1016/j.talanta.2005.03.025 10.1016/j.infrared.2018.01.026 10.1016/j.infrared.2020.103226 10.1016/j.vibspec.2019.103017 10.3390/rs6042699 10.1016/j.vibspec.2020.103158 10.1016/j.compag.2019.105160 10.1016/j.jfoodeng.2008.12.021 10.1007/s10762-013-0015-2 10.1002/cem.2979 10.1007/s11274-011-0897-x 10.3390/s121217234 10.1016/j.engappai.2022.104960 10.1016/j.foodchem.2012.11.120 |
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| References | Tian, Tan, Li (b0065) 2020; 107 Peng, Shi, Song, Chen, Gao (b0240) 2014; 6 Caporaso, Whitworth, Fisk (b0100) 2018; 240 Xie, Sun, Zhu, Pu (b0255) 2016; 9 Yang, Ma, Guan, Li, Fan (b0035) 2022; 125 Jiang, Liu, Chen (b0030) 2022; 125 Huang, Fan, Li, Meng, Liu (b0050) 2022; 123 Tao, Peng, Li (b0135) 2015; 8 Wold, Antti, Lindgren, Öhman (b0200) 1998; 44 Su, Sun (b0260) 2018; 17 Silva, Folli, Santos, Barros, Oliveira, Borghi (b0275) 2020; 111 Wang, Fan, Wu, Zhang, Xu, Yang (b0290) 2021; 254 Lan, Jaillais, Renard, Leca, Chen, Bourvellec (b0095) 2021; 175 Yu, Zhao, Liu, Li, Liu, He (b0300) 2014; 7 Ma, Cheng, Sun, Liu (b0125) 2019; 110 Li, Liang, Xu, Cao (b0225) 2009; 648 Guo, Du, Zhou, Yang, Lu, Zhao, Wang, Teng (b0280) 2012; 28 Tao, Li, Jin, Yang, Wu, Liu (b0170) 2018; 32 Lancelot, Bertrand, Hanafi, Jaillais (b0270) 2017; 92 Mahesh, Jayas, Paliwal, White (b0245) 2015; 8 Araújo, Saldanha, Galvão, Yoneyama, Chame, Visani (b0295) 2001; 57 Taghizadeh, Gowen, O’Donnell (b0250) 2009; 3 Sun, Liu, Wu, Zheng, Li, Wu (b0070) 2019; 39 Gowen, Taghizadeh, O'Donnell (b0140) 2009; 93 Wajizah, Munawar (b0195) 2018; 122 NY/T 3521-2019,Technical specification for potato noodles processing[S]. Cheng, Qu, Sun, Zeng (b0230) 2014; 56 Lambrecht, Rombouts, Nivelle, Delcour (b0005) 2017; 75 Akrami, El-Shafie, Naseri, Santos (b0205) 2014; 25 Wu, Shi, Wang, He, Bao, Liu (b0180) 2012; 726 Iwata, Yoshioka, Nakamura, Mizutani, Yasui (b0235) 2013; 34 Nakajima, Kuroki, Ikehata (b0055) 2023; 401 Cui, Zhu (b0015) 2020; 66 Chen, Pan, Chen, Lu (b0210) 2011; 107 Li, Tan, Cui, Ma (b0060) 2022; 123 Kimuli, Wang, Wang, Jiang, Zhao, Chu (b0075) 2018; 89 Galvão, Araujo, José, Pontes, Silva, Saldanha (b0160) 2005; 67 Zhou, Wang, Wu, Li, Li, Zhang, Zhao, Lu, Zou (b0040) 2022; 169 Harrop (b0285) 2005; 4 Wan, Liu, He, Luo, Cheng, Ma (b0155) 2020; 287 Ma, Ren, Zhang, Du, Yin (b0120) 2021; 114 Liu, Zhang, Yang, Hu, Luo, Li, Dong (b0045) 2022; 271 Sun, Wang, Zhang, Xia, Zhao, Guo (b0220) 2020; 105 Ma, Yue (b0150) 2022; 113 He, Sun (b0175) 2015; 8 Chu, Wwacd, Lei, Hcacd, Xyacd, Yong (b0105) 2020; 319 Valcarcel, Reilly, Gaffney, O’Brien (b0020) 2015; 58 Chen, Ren, Zhang, Diao, Shen (b0315) 2013; 58 Erkinbaev, Derksen, Paliwal (b0090) 2019; 98 Cao, Zhang, Yang, Zhang, Guo, Li (b0010) 2020; 128 Barbin, Elmasry, Sun, Allen (b0025) 2013; 138 Zhang, Liu, He, Li (b0130) 2012; 12 Kobayashi, Matsui, Maebuchi, Toyota, Nakauchi (b0080) 2010; 18 Wu, Sun (b0190) 2013; 19 Malhotra, Sharma, Sahni, Singh, Sharma (b0110) 2022; 168 Cao, Liang, Xu, Li, Chen (b0185) 2010; 31 Wiedemair, Mair, Held, Huck (b0265) 2019; 205 Yang, Sun, Cheng (b0085) 2017; 192 Xu, Riccioli, Sun (b0165) 2016; 190 Elmasry, Sun, Allen (b0145) 2011; 44 Wang, Chen, Fan, Cheng, Wu, Zhang (b0305) 2020; 169 Jin, Li, Cheng (b0215) 2015; 8 Liu, Zhang, Zhang, Du, Wei, Liang, Sun, Tu, Peng, Pan (b0310) 2022; 106 10.1016/j.infrared.2023.104595_b0115 Wold (10.1016/j.infrared.2023.104595_b0200) 1998; 44 Xu (10.1016/j.infrared.2023.104595_b0165) 2016; 190 Chu (10.1016/j.infrared.2023.104595_b0105) 2020; 319 Gowen (10.1016/j.infrared.2023.104595_b0140) 2009; 93 Silva (10.1016/j.infrared.2023.104595_b0275) 2020; 111 Cui (10.1016/j.infrared.2023.104595_b0015) 2020; 66 Huang (10.1016/j.infrared.2023.104595_b0050) 2022; 123 Zhang (10.1016/j.infrared.2023.104595_b0130) 2012; 12 Wu (10.1016/j.infrared.2023.104595_b0180) 2012; 726 Zhou (10.1016/j.infrared.2023.104595_b0040) 2022; 169 Wan (10.1016/j.infrared.2023.104595_b0155) 2020; 287 Cheng (10.1016/j.infrared.2023.104595_b0230) 2014; 56 Yu (10.1016/j.infrared.2023.104595_b0300) 2014; 7 Nakajima (10.1016/j.infrared.2023.104595_b0055) 2023; 401 Cao (10.1016/j.infrared.2023.104595_b0185) 2010; 31 He (10.1016/j.infrared.2023.104595_b0175) 2015; 8 Iwata (10.1016/j.infrared.2023.104595_b0235) 2013; 34 Lan (10.1016/j.infrared.2023.104595_b0095) 2021; 175 Araújo (10.1016/j.infrared.2023.104595_b0295) 2001; 57 Sun (10.1016/j.infrared.2023.104595_b0220) 2020; 105 Valcarcel (10.1016/j.infrared.2023.104595_b0020) 2015; 58 Malhotra (10.1016/j.infrared.2023.104595_b0110) 2022; 168 Tao (10.1016/j.infrared.2023.104595_b0135) 2015; 8 Jin (10.1016/j.infrared.2023.104595_b0215) 2015; 8 Liu (10.1016/j.infrared.2023.104595_b0045) 2022; 271 Ma (10.1016/j.infrared.2023.104595_b0125) 2019; 110 Kimuli (10.1016/j.infrared.2023.104595_b0075) 2018; 89 Li (10.1016/j.infrared.2023.104595_b0225) 2009; 648 Mahesh (10.1016/j.infrared.2023.104595_b0245) 2015; 8 Wang (10.1016/j.infrared.2023.104595_b0290) 2021; 254 Chen (10.1016/j.infrared.2023.104595_b0210) 2011; 107 Xie (10.1016/j.infrared.2023.104595_b0255) 2016; 9 Cao (10.1016/j.infrared.2023.104595_b0010) 2020; 128 Wu (10.1016/j.infrared.2023.104595_b0190) 2013; 19 Liu (10.1016/j.infrared.2023.104595_b0310) 2022; 106 Kobayashi (10.1016/j.infrared.2023.104595_b0080) 2010; 18 Wajizah (10.1016/j.infrared.2023.104595_b0195) 2018; 122 Barbin (10.1016/j.infrared.2023.104595_b0025) 2013; 138 Peng (10.1016/j.infrared.2023.104595_b0240) 2014; 6 Harrop (10.1016/j.infrared.2023.104595_b0285) 2005; 4 Wiedemair (10.1016/j.infrared.2023.104595_b0265) 2019; 205 Yang (10.1016/j.infrared.2023.104595_b0085) 2017; 192 Erkinbaev (10.1016/j.infrared.2023.104595_b0090) 2019; 98 Caporaso (10.1016/j.infrared.2023.104595_b0100) 2018; 240 Yang (10.1016/j.infrared.2023.104595_b0035) 2022; 125 Elmasry (10.1016/j.infrared.2023.104595_b0145) 2011; 44 Chen (10.1016/j.infrared.2023.104595_b0315) 2013; 58 Taghizadeh (10.1016/j.infrared.2023.104595_b0250) 2009; 3 Lambrecht (10.1016/j.infrared.2023.104595_b0005) 2017; 75 Sun (10.1016/j.infrared.2023.104595_b0070) 2019; 39 Su (10.1016/j.infrared.2023.104595_b0260) 2018; 17 Ma (10.1016/j.infrared.2023.104595_b0150) 2022; 113 Guo (10.1016/j.infrared.2023.104595_b0280) 2012; 28 Wang (10.1016/j.infrared.2023.104595_b0305) 2020; 169 Lancelot (10.1016/j.infrared.2023.104595_b0270) 2017; 92 Galvão (10.1016/j.infrared.2023.104595_b0160) 2005; 67 Li (10.1016/j.infrared.2023.104595_b0060) 2022; 123 Tao (10.1016/j.infrared.2023.104595_b0170) 2018; 32 Jiang (10.1016/j.infrared.2023.104595_b0030) 2022; 125 Ma (10.1016/j.infrared.2023.104595_b0120) 2021; 114 Tian (10.1016/j.infrared.2023.104595_b0065) 2020; 107 Akrami (10.1016/j.infrared.2023.104595_b0205) 2014; 25 |
| References_xml | – volume: 271 year: 2022 ident: b0045 article-title: Research on moisture content detection method during green tea processing based on machine vision and near-infrared spectroscopy technology publication-title: Spectrochim. Acta A Mol. Biomol. Spectrosc. contributor: fullname: Dong – volume: 123 year: 2022 ident: b0060 article-title: Fast identification of soybean varieties using Raman spectroscopy publication-title: Vibr. Spectrosc. contributor: fullname: Ma – volume: 8 start-page: 2427 year: 2015 end-page: 2436 ident: b0175 article-title: Selection of Informative Spectral Wavelength for Evaluating and Visualising Enterobacteriaceae Contamination of Salmon Flesh publication-title: Food Anal. Methods contributor: fullname: Sun – volume: 169 year: 2020 ident: b0305 article-title: Evaluating photosynthetic pigment contents of maize using UVE-PLS based on continuous wavelet transform publication-title: Comput. Electron. Agric. contributor: fullname: Zhang – volume: 19 start-page: 15 year: 2013 end-page: 28 ident: b0190 article-title: Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review — Part II: Applications publication-title: Innov. Food Sci. Emerg. Technol. contributor: fullname: Sun – volume: 57 start-page: 65 year: 2001 end-page: 73 ident: b0295 article-title: The successive projections algorithm for variable selection in spectroscopic multicomponent analysis publication-title: Chemom. Intel. Lab. Syst. contributor: fullname: Visani – volume: 93 start-page: 7 year: 2009 end-page: 12 ident: b0140 article-title: Identification of mushrooms subjected to freeze damage using hyperspectral imaging publication-title: J. Food Eng. contributor: fullname: O'Donnell – volume: 240 start-page: 32 year: 2018 end-page: 42 ident: b0100 article-title: Protein content prediction in single wheat kernels using hyperspectral imaging publication-title: Food Chem. contributor: fullname: Fisk – volume: 6 start-page: 2699 year: 2014 end-page: 2717 ident: b0240 article-title: Estimating soil organic carbon using VIS/NIR spectroscopy with SVMR and SPA methods publication-title: Remote Sens. (Basel) contributor: fullname: Gao – volume: 114 year: 2021 ident: b0120 article-title: Development of Simplified Models for Nondestructive Testing of Rice (with Husk) Protein Content Using Hyperspectral Imaging Technology publication-title: Vib. Spectrosc contributor: fullname: Yin – volume: 287 year: 2020 ident: b0155 article-title: Feature wavelength selection and model development for rapid determination of myoglobin content in nitrite-cured mutton using hyperspectral imaging publication-title: J. Food Eng. contributor: fullname: Ma – volume: 58 start-page: 29 year: 2015 end-page: 41 ident: b0020 article-title: Total Carotenoids and L-Ascorbic Acid Content in 60 Varieties of Potato (Solanum tuberosum L.) Grown in Ireland publication-title: Potato Res. contributor: fullname: O’Brien – volume: 9 start-page: 1444 year: 2016 end-page: 1454 ident: b0255 article-title: Nondestructive Measurements of Freezing Parameters of Frozen Porcine Meat by NIR Hyperspectral Imaging publication-title: Food Bioproc. Tech. contributor: fullname: Pu – volume: 169 year: 2022 ident: b0040 article-title: Machine learning modeling and prediction of peanut protein content based on spectral images and stoichiometry publication-title: LWT contributor: fullname: Zou – volume: 107 start-page: 139 year: 2011 end-page: 146 ident: b0210 article-title: Waveband selection for NIR spectroscopy analysis of soil organic matter based on SG smoothing and MWPLS methods publication-title: Chemometr. Intell. Lab. Syst. contributor: fullname: Lu – volume: 125 year: 2022 ident: b0030 article-title: Rapid determination of acidity index of peanuts by near-infrared spectroscopy technology: Comparing the performance of different near-infrared spectral models publication-title: Infrared Phys. Technol. contributor: fullname: Chen – volume: 75 start-page: 234 year: 2017 end-page: 242 ident: b0005 article-title: The impact of protein characteristics on the protein network in and properties of fresh and cooked wheat-based noodles publication-title: J. Cereal Sci. contributor: fullname: Delcour – volume: 89 start-page: 351 year: 2018 end-page: 362 ident: b0075 article-title: Application of SWIR hyperspectral imaging and chemometrics for identification of aflatoxin B1 contaminated maize kernels publication-title: Infrared Phys. Technol. contributor: fullname: Chu – volume: 17 start-page: 220 year: 2018 end-page: 239 ident: b0260 article-title: Multispectral Imaging for Plant Food Quality Analysis and Visualization publication-title: Compr. Rev. Food Sci. Food Saf. contributor: fullname: Sun – volume: 56 start-page: 190 year: 2014 end-page: 198 ident: b0230 article-title: Visible/near-infrared hyperspectral imaging prediction of textural firmness of grass carp (Ctenopharyngodon idella) as affected by frozen storage publication-title: Food Res. Int. contributor: fullname: Zeng – volume: 18 start-page: 301 year: 2010 end-page: 315 ident: b0080 article-title: Near infrared spectroscopy and hyperspectral imaging for prediction and visualisation of fat and fatty acid content in intact raw beef cuts publication-title: J. Near Infrared Spectrosc. contributor: fullname: Nakauchi – volume: 113 year: 2022 ident: b0150 article-title: An improved whale optimization algorithm based on multilevel threshold image segmentation using the Otsu method publication-title: Eng. Appl. Artif. Intel. contributor: fullname: Yue – volume: 726 start-page: 57 year: 2012 end-page: 66 ident: b0180 article-title: Rapid prediction of moisture content of dehydrated prawns using online hyperspectral imaging system publication-title: Anal. Chim. Acta contributor: fullname: Liu – volume: 648 start-page: 77 year: 2009 end-page: 84 ident: b0225 article-title: Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration publication-title: Anal. Chim. Acta contributor: fullname: Cao – volume: 4 start-page: 736 year: 2005 end-page: 740 ident: b0285 article-title: A method for calibration and validation subset partitioning publication-title: Talanta contributor: fullname: Harrop – volume: 107 year: 2020 ident: b0065 article-title: An rapid nondestructive testing method for distinguishing rice producing areas based on Raman spectroscopy and support vector machine publication-title: Vib. Spectrosc contributor: fullname: Li – volume: 8 start-page: 2524 year: 2015 end-page: 2532 ident: b0215 article-title: Rapid and Non-destructive Determination of Moisture Content of Peanut Kernels Using Hyperspectral Imaging Technique publication-title: Food Anal. Methods contributor: fullname: Cheng – volume: 175 start-page: 11497 year: 2021 ident: b0095 article-title: A method using near infrared hyperspectral imaging to highlight the internal quality of apple fruit slices publication-title: Postharvest Biol. Technol. contributor: fullname: Bourvellec – volume: 44 start-page: 175 year: 1998 end-page: 185 ident: b0200 article-title: Orthogonal signal correction of near-infrared spectra publication-title: Chemometr. Intell. Lab. Syst. contributor: fullname: Öhman – volume: 205 year: 2019 ident: b0265 article-title: Investigations into the use of handheld near-infrared spectrometer and novel semi-automated data analysis for the determination of protein content in different cultivars of Panicum miliaceum L publication-title: Talanta contributor: fullname: Huck – volume: 67 start-page: 736 year: 2005 end-page: 740 ident: b0160 article-title: A method for calibration and validation subset partitioning publication-title: Talanta contributor: fullname: Saldanha – volume: 3 start-page: 219 year: 2009 end-page: 226 ident: b0250 article-title: Prediction of white button mushroom (Agaricus bisporus) moisture content using hyperspectral imaging publication-title: Sens. Instrumen. Food Qual. contributor: fullname: O’Donnell – volume: 98 start-page: 250 year: 2019 end-page: 255 ident: b0090 article-title: Single kernel wheat hardness estimation using near infrared hyperspectral imaging publication-title: Infrared Phys. Technol. contributor: fullname: Paliwal – volume: 12 start-page: 17234 year: 2012 end-page: 17246 ident: b0130 article-title: Application of Hyperspectral Imaging and Chemometric Calibrations for Variety Discrimination of Maize Seeds publication-title: Sensors (Basel, Switzerland) contributor: fullname: Li – volume: 92 start-page: 46 year: 2017 end-page: 53 ident: b0270 article-title: Near-infrared hyperspectral imaging for following imbibition of single wheat kernel sections publication-title: Vib. Spectrosc contributor: fullname: Jaillais – volume: 32 start-page: e2979 year: 2018 ident: b0170 article-title: Application of near-infrared spectroscopy combined with chemometrics for online monitoring of Moluodan extraction publication-title: J. Chemom. contributor: fullname: Liu – volume: 8 start-page: 95 year: 2015 end-page: 105 ident: b0135 article-title: Feature extraction method of hyperspectral scattering images for prediction of total viable count in pork meat publication-title: Int. J. Agric. Biol. Eng. contributor: fullname: Li – volume: 190 start-page: 185 year: 2016 end-page: 194 ident: b0165 article-title: Development of an alternative technique for rapid and accurate determination of fish caloric density based on hyperspectral imaging publication-title: J. Food Eng. contributor: fullname: Sun – volume: 44 start-page: 2624 year: 2011 end-page: 2633 ident: b0145 article-title: Non-destructive determination of water-holding capacity in fresh beef by using NIR hyperspectral imaging publication-title: Food Res. Int. contributor: fullname: Allen – volume: 39 start-page: 910 year: 2019 end-page: 916 ident: b0070 article-title: Visualization of Water Content Distribution in Potato Leaves Based on Hyperspectral Image publication-title: Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis contributor: fullname: Wu – volume: 125 year: 2022 ident: b0035 article-title: A rapid recognition method of Auricularia auricula varieties based on near-infrared spectral characteristics publication-title: Infrared Phys. Technol. contributor: fullname: Fan – volume: 105 year: 2020 ident: b0220 article-title: Detection of fat content in peanut kernels based on chemometrics and hyperspectral imaging technology publication-title: Infrared Phys. Technol. contributor: fullname: Guo – volume: 111 year: 2020 ident: b0275 article-title: Quantification of beef, pork, and chicken in ground meat using a portable NIR spectrometer publication-title: Vib. Spectrosc contributor: fullname: Borghi – volume: 58 start-page: 241 year: 2013 end-page: 247 ident: b0315 article-title: Determination of protein, total carbohydrates and crude fat contents of foxtail millet using effective wavelengths in NIR spectroscopy publication-title: J. Cereal Sci. contributor: fullname: Shen – volume: 7 start-page: 3077 year: 2014 end-page: 3087 ident: b0300 article-title: Application of Visible and Near-Infrared Hyperspectral Imaging for Detection of Defective Features in Loquat publication-title: Food Bioproc. Tech. contributor: fullname: He – volume: 110 start-page: 338 year: 2019 end-page: 345 ident: b0125 article-title: Mapping changes in sarcoplasmatic and myofibrillar proteins in boiled pork using hyperspectral imaging with spectral processing methods publication-title: LWT contributor: fullname: Liu – volume: 25 start-page: 1853 year: 2014 end-page: 1861 ident: b0205 article-title: Rainfall data analyzing using moving average (MA) model and wavelet multi-resolution intelligent model for noise evaluation to improve the forecasting accuracy publication-title: Neural Comput. Applic. contributor: fullname: Santos – volume: 123 year: 2022 ident: b0050 article-title: Rapid evaluation of milk acidity and identification of milk adulteration by Raman spectroscopy combined with chemometrics analysis publication-title: Vib. Spectrosc contributor: fullname: Liu – volume: 66 year: 2020 ident: b0015 article-title: Effect of ultrasound on structural and physicochemical properties of sweetpotato and wheat flours publication-title: Ultrason. Sonochem. contributor: fullname: Zhu – volume: 122 year: 2018 ident: b0195 article-title: Fast and simultaneous prediction of animal feed nutritive values using near infrared reflectance spectroscopy publication-title: IOP Conf. Ser. Earth Environm. Sci. contributor: fullname: Munawar – volume: 34 start-page: 646 year: 2013 end-page: 659 ident: b0235 article-title: Prediction of the Thickness of a Thin Paint Film by Applying a Modified Partial-Least-Squares-1 Method to Data Obtained in Terahertz Reflectometry publication-title: J. Infrared, Millimeter, Terahertz Waves contributor: fullname: Yasui – volume: 128 year: 2020 ident: b0010 article-title: Influence of the fermentation time and potato pulp addition on the technological properties and volatile compounds of wheat dough and steamed bread publication-title: LWT contributor: fullname: Li – volume: 192 start-page: 53 year: 2017 end-page: 60 ident: b0085 article-title: Development of simplified models for nondestructive hyperspectral imaging monitoring of TVB-N contents in cured meat during drying process publication-title: J. Food Eng. contributor: fullname: Cheng – volume: 8 start-page: 31 year: 2015 end-page: 40 ident: b0245 article-title: Comparison of Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR) Methods for Protein and Hardness Predictions using the Near-Infrared (NIR) Hyperspectral Images of Bulk Samples of Canadian Wheat publication-title: Food Bioproc. Tech. contributor: fullname: White – volume: 168 year: 2022 ident: b0110 article-title: Nutritional composition, techno-functionality, in-vitro starch digestibility, structural characteristics and storage stability of sweet potato flour and mash supplemented specialty pasta publication-title: LWT contributor: fullname: Sharma – volume: 319 start-page: 12636 year: 2020 ident: b0105 article-title: Developing deep learning based regression approaches for determination of chemical compositions in dry black goji berries (Lycium ruthenicum Murr.) using near-infrared hyperspectral imaging publication-title: Food Chem. contributor: fullname: Yong – volume: 28 start-page: 993 year: 2012 end-page: 1002 ident: b0280 article-title: At-line monitoring of key parameters of nisin fermentation by near infrared spectroscopy, chemometric modeling and model improvement publication-title: World J. Microbiol. Biotechnol. contributor: fullname: Teng – volume: 138 start-page: 1162 year: 2013 end-page: 1171 ident: b0025 article-title: Non-destructive determination of chemical composition in intact and minced pork using near-infrared hyperspectral imaging publication-title: Food Chem. contributor: fullname: Allen – volume: 31 start-page: 592 year: 2010 end-page: 602 ident: b0185 article-title: A new strategy of outlier detection for QSAR/QSPR publication-title: J. Comput. Chem. contributor: fullname: Chen – volume: 401 year: 2023 ident: b0055 article-title: Selective detection of starch in banana fruit with Raman spectroscopy publication-title: Food Chem. contributor: fullname: Ikehata – volume: 254 year: 2021 ident: b0290 article-title: Application of long-wave near infrared hyperspectral imaging for determination of moisture content of single maize seed publication-title: Spectrochim. Acta A Mol. Biomol. Spectrosc. contributor: fullname: Yang – volume: 106 year: 2022 ident: b0310 article-title: Determination of total protein and wet gluten in wheat flour by Fourier transform infrared photoacoustic spectroscopy with multivariate analysis publication-title: J. Food Compos. Anal. contributor: fullname: Pan – volume: 92 start-page: 46 year: 2017 ident: 10.1016/j.infrared.2023.104595_b0270 article-title: Near-infrared hyperspectral imaging for following imbibition of single wheat kernel sections publication-title: Vib. Spectrosc doi: 10.1016/j.vibspec.2017.05.001 contributor: fullname: Lancelot – volume: 66 year: 2020 ident: 10.1016/j.infrared.2023.104595_b0015 article-title: Effect of ultrasound on structural and physicochemical properties of sweetpotato and wheat flours publication-title: Ultrason. Sonochem. doi: 10.1016/j.ultsonch.2020.105118 contributor: fullname: Cui – volume: 8 start-page: 31 issue: 1 year: 2015 ident: 10.1016/j.infrared.2023.104595_b0245 article-title: Comparison of Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR) Methods for Protein and Hardness Predictions using the Near-Infrared (NIR) Hyperspectral Images of Bulk Samples of Canadian Wheat publication-title: Food Bioproc. Tech. doi: 10.1007/s11947-014-1381-z contributor: fullname: Mahesh – ident: 10.1016/j.infrared.2023.104595_b0115 – volume: 123 year: 2022 ident: 10.1016/j.infrared.2023.104595_b0050 article-title: Rapid evaluation of milk acidity and identification of milk adulteration by Raman spectroscopy combined with chemometrics analysis publication-title: Vib. Spectrosc doi: 10.1016/j.vibspec.2022.103440 contributor: fullname: Huang – volume: 8 start-page: 95 issue: 4 year: 2015 ident: 10.1016/j.infrared.2023.104595_b0135 article-title: Feature extraction method of hyperspectral scattering images for prediction of total viable count in pork meat publication-title: Int. J. Agric. Biol. Eng. contributor: fullname: Tao – volume: 4 start-page: 736 issue: 67 year: 2005 ident: 10.1016/j.infrared.2023.104595_b0285 article-title: A method for calibration and validation subset partitioning publication-title: Talanta contributor: fullname: Harrop – volume: 107 start-page: 139 issue: 1 year: 2011 ident: 10.1016/j.infrared.2023.104595_b0210 article-title: Waveband selection for NIR spectroscopy analysis of soil organic matter based on SG smoothing and MWPLS methods publication-title: Chemometr. Intell. Lab. Syst. doi: 10.1016/j.chemolab.2011.02.008 contributor: fullname: Chen – volume: 17 start-page: 220 year: 2018 ident: 10.1016/j.infrared.2023.104595_b0260 article-title: Multispectral Imaging for Plant Food Quality Analysis and Visualization publication-title: Compr. Rev. Food Sci. Food Saf. doi: 10.1111/1541-4337.12317 contributor: fullname: Su – volume: 110 start-page: 338 year: 2019 ident: 10.1016/j.infrared.2023.104595_b0125 article-title: Mapping changes in sarcoplasmatic and myofibrillar proteins in boiled pork using hyperspectral imaging with spectral processing methods publication-title: LWT doi: 10.1016/j.lwt.2019.04.095 contributor: fullname: Ma – volume: 128 year: 2020 ident: 10.1016/j.infrared.2023.104595_b0010 article-title: Influence of the fermentation time and potato pulp addition on the technological properties and volatile compounds of wheat dough and steamed bread publication-title: LWT doi: 10.1016/j.lwt.2020.109377 contributor: fullname: Cao – volume: 125 year: 2022 ident: 10.1016/j.infrared.2023.104595_b0030 article-title: Rapid determination of acidity index of peanuts by near-infrared spectroscopy technology: Comparing the performance of different near-infrared spectral models publication-title: Infrared Phys. Technol. doi: 10.1016/j.infrared.2022.104308 contributor: fullname: Jiang – volume: 319 start-page: 12636 year: 2020 ident: 10.1016/j.infrared.2023.104595_b0105 article-title: Developing deep learning based regression approaches for determination of chemical compositions in dry black goji berries (Lycium ruthenicum Murr.) using near-infrared hyperspectral imaging publication-title: Food Chem. contributor: fullname: Chu – volume: 7 start-page: 3077 issue: 11 year: 2014 ident: 10.1016/j.infrared.2023.104595_b0300 article-title: Application of Visible and Near-Infrared Hyperspectral Imaging for Detection of Defective Features in Loquat publication-title: Food Bioproc. Tech. doi: 10.1007/s11947-014-1357-z contributor: fullname: Yu – volume: 8 start-page: 2427 issue: 10 year: 2015 ident: 10.1016/j.infrared.2023.104595_b0175 article-title: Selection of Informative Spectral Wavelength for Evaluating and Visualising Enterobacteriaceae Contamination of Salmon Flesh publication-title: Food Anal. Methods doi: 10.1007/s12161-015-0122-x contributor: fullname: He – volume: 3 start-page: 219 issue: 4 year: 2009 ident: 10.1016/j.infrared.2023.104595_b0250 article-title: Prediction of white button mushroom (Agaricus bisporus) moisture content using hyperspectral imaging publication-title: Sens. Instrumen. Food Qual. doi: 10.1007/s11694-009-9088-y contributor: fullname: Taghizadeh – volume: 8 start-page: 2524 issue: 10 year: 2015 ident: 10.1016/j.infrared.2023.104595_b0215 article-title: Rapid and Non-destructive Determination of Moisture Content of Peanut Kernels Using Hyperspectral Imaging Technique publication-title: Food Anal. Methods doi: 10.1007/s12161-015-0147-1 contributor: fullname: Jin – volume: 56 start-page: 190 year: 2014 ident: 10.1016/j.infrared.2023.104595_b0230 article-title: Visible/near-infrared hyperspectral imaging prediction of textural firmness of grass carp (Ctenopharyngodon idella) as affected by frozen storage publication-title: Food Res. Int. doi: 10.1016/j.foodres.2013.12.009 contributor: fullname: Cheng – volume: 9 start-page: 1444 issue: 9 year: 2016 ident: 10.1016/j.infrared.2023.104595_b0255 article-title: Nondestructive Measurements of Freezing Parameters of Frozen Porcine Meat by NIR Hyperspectral Imaging publication-title: Food Bioproc. Tech. doi: 10.1007/s11947-016-1766-2 contributor: fullname: Xie – volume: 25 start-page: 1853 issue: 7–8 year: 2014 ident: 10.1016/j.infrared.2023.104595_b0205 article-title: Rainfall data analyzing using moving average (MA) model and wavelet multi-resolution intelligent model for noise evaluation to improve the forecasting accuracy publication-title: Neural Comput. Applic. doi: 10.1007/s00521-014-1675-0 contributor: fullname: Akrami – volume: 58 start-page: 29 issue: 1 year: 2015 ident: 10.1016/j.infrared.2023.104595_b0020 article-title: Total Carotenoids and L-Ascorbic Acid Content in 60 Varieties of Potato (Solanum tuberosum L.) Grown in Ireland publication-title: Potato Res. doi: 10.1007/s11540-014-9270-4 contributor: fullname: Valcarcel – volume: 19 start-page: 15 year: 2013 ident: 10.1016/j.infrared.2023.104595_b0190 article-title: Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review — Part II: Applications publication-title: Innov. Food Sci. Emerg. Technol. doi: 10.1016/j.ifset.2013.04.016 contributor: fullname: Wu – volume: 44 start-page: 175 issue: 1 year: 1998 ident: 10.1016/j.infrared.2023.104595_b0200 article-title: Orthogonal signal correction of near-infrared spectra publication-title: Chemometr. Intell. Lab. Syst. doi: 10.1016/S0169-7439(98)00109-9 contributor: fullname: Wold – volume: 726 start-page: 57 year: 2012 ident: 10.1016/j.infrared.2023.104595_b0180 article-title: Rapid prediction of moisture content of dehydrated prawns using online hyperspectral imaging system publication-title: Anal. Chim. Acta doi: 10.1016/j.aca.2012.03.038 contributor: fullname: Wu – volume: 175 start-page: 11497 year: 2021 ident: 10.1016/j.infrared.2023.104595_b0095 article-title: A method using near infrared hyperspectral imaging to highlight the internal quality of apple fruit slices publication-title: Postharvest Biol. Technol. doi: 10.1016/j.postharvbio.2021.111497 contributor: fullname: Lan – volume: 18 start-page: 301 year: 2010 ident: 10.1016/j.infrared.2023.104595_b0080 article-title: Near infrared spectroscopy and hyperspectral imaging for prediction and visualisation of fat and fatty acid content in intact raw beef cuts publication-title: J. Near Infrared Spectrosc. doi: 10.1255/jnirs.896 contributor: fullname: Kobayashi – volume: 75 start-page: 234 year: 2017 ident: 10.1016/j.infrared.2023.104595_b0005 article-title: The impact of protein characteristics on the protein network in and properties of fresh and cooked wheat-based noodles publication-title: J. Cereal Sci. doi: 10.1016/j.jcs.2017.04.014 contributor: fullname: Lambrecht – volume: 401 year: 2023 ident: 10.1016/j.infrared.2023.104595_b0055 article-title: Selective detection of starch in banana fruit with Raman spectroscopy publication-title: Food Chem. doi: 10.1016/j.foodchem.2022.134166 contributor: fullname: Nakajima – volume: 648 start-page: 77 issue: 1 year: 2009 ident: 10.1016/j.infrared.2023.104595_b0225 article-title: Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration publication-title: Anal. Chim. Acta doi: 10.1016/j.aca.2009.06.046 contributor: fullname: Li – volume: 106 year: 2022 ident: 10.1016/j.infrared.2023.104595_b0310 article-title: Determination of total protein and wet gluten in wheat flour by Fourier transform infrared photoacoustic spectroscopy with multivariate analysis publication-title: J. Food Compos. Anal. doi: 10.1016/j.jfca.2021.104349 contributor: fullname: Liu – volume: 240 start-page: 32 year: 2018 ident: 10.1016/j.infrared.2023.104595_b0100 article-title: Protein content prediction in single wheat kernels using hyperspectral imaging publication-title: Food Chem. doi: 10.1016/j.foodchem.2017.07.048 contributor: fullname: Caporaso – volume: 190 start-page: 185 year: 2016 ident: 10.1016/j.infrared.2023.104595_b0165 article-title: Development of an alternative technique for rapid and accurate determination of fish caloric density based on hyperspectral imaging publication-title: J. Food Eng. doi: 10.1016/j.jfoodeng.2016.06.007 contributor: fullname: Xu – volume: 122 issue: 1 year: 2018 ident: 10.1016/j.infrared.2023.104595_b0195 article-title: Fast and simultaneous prediction of animal feed nutritive values using near infrared reflectance spectroscopy publication-title: IOP Conf. Ser. Earth Environm. Sci. contributor: fullname: Wajizah – volume: 254 year: 2021 ident: 10.1016/j.infrared.2023.104595_b0290 article-title: Application of long-wave near infrared hyperspectral imaging for determination of moisture content of single maize seed publication-title: Spectrochim. Acta A Mol. Biomol. Spectrosc. doi: 10.1016/j.saa.2021.119666 contributor: fullname: Wang – volume: 271 year: 2022 ident: 10.1016/j.infrared.2023.104595_b0045 article-title: Research on moisture content detection method during green tea processing based on machine vision and near-infrared spectroscopy technology publication-title: Spectrochim. Acta A Mol. Biomol. Spectrosc. doi: 10.1016/j.saa.2022.120921 contributor: fullname: Liu – volume: 98 start-page: 250 year: 2019 ident: 10.1016/j.infrared.2023.104595_b0090 article-title: Single kernel wheat hardness estimation using near infrared hyperspectral imaging publication-title: Infrared Phys. Technol. doi: 10.1016/j.infrared.2019.03.033 contributor: fullname: Erkinbaev – volume: 287 year: 2020 ident: 10.1016/j.infrared.2023.104595_b0155 article-title: Feature wavelength selection and model development for rapid determination of myoglobin content in nitrite-cured mutton using hyperspectral imaging publication-title: J. Food Eng. doi: 10.1016/j.jfoodeng.2020.110090 contributor: fullname: Wan – volume: 192 start-page: 53 issue: JAN year: 2017 ident: 10.1016/j.infrared.2023.104595_b0085 article-title: Development of simplified models for nondestructive hyperspectral imaging monitoring of TVB-N contents in cured meat during drying process publication-title: J. Food Eng. doi: 10.1016/j.jfoodeng.2016.07.015 contributor: fullname: Yang – volume: 205 year: 2019 ident: 10.1016/j.infrared.2023.104595_b0265 article-title: Investigations into the use of handheld near-infrared spectrometer and novel semi-automated data analysis for the determination of protein content in different cultivars of Panicum miliaceum L publication-title: Talanta doi: 10.1016/j.talanta.2019.120115 contributor: fullname: Wiedemair – volume: 169 year: 2022 ident: 10.1016/j.infrared.2023.104595_b0040 article-title: Machine learning modeling and prediction of peanut protein content based on spectral images and stoichiometry publication-title: LWT doi: 10.1016/j.lwt.2022.114015 contributor: fullname: Zhou – volume: 58 start-page: 241 issue: 2 year: 2013 ident: 10.1016/j.infrared.2023.104595_b0315 article-title: Determination of protein, total carbohydrates and crude fat contents of foxtail millet using effective wavelengths in NIR spectroscopy publication-title: J. Cereal Sci. doi: 10.1016/j.jcs.2013.07.002 contributor: fullname: Chen – volume: 57 start-page: 65 issue: 2 year: 2001 ident: 10.1016/j.infrared.2023.104595_b0295 article-title: The successive projections algorithm for variable selection in spectroscopic multicomponent analysis publication-title: Chemom. Intel. Lab. Syst. doi: 10.1016/S0169-7439(01)00119-8 contributor: fullname: Araújo – volume: 168 year: 2022 ident: 10.1016/j.infrared.2023.104595_b0110 article-title: Nutritional composition, techno-functionality, in-vitro starch digestibility, structural characteristics and storage stability of sweet potato flour and mash supplemented specialty pasta publication-title: LWT doi: 10.1016/j.lwt.2022.113886 contributor: fullname: Malhotra – volume: 44 start-page: 2624 issue: 9 year: 2011 ident: 10.1016/j.infrared.2023.104595_b0145 article-title: Non-destructive determination of water-holding capacity in fresh beef by using NIR hyperspectral imaging publication-title: Food Res. Int. doi: 10.1016/j.foodres.2011.05.001 contributor: fullname: Elmasry – volume: 31 start-page: 592 issue: 3 year: 2010 ident: 10.1016/j.infrared.2023.104595_b0185 article-title: A new strategy of outlier detection for QSAR/QSPR publication-title: J. Comput. Chem. doi: 10.1002/jcc.21351 contributor: fullname: Cao – volume: 125 year: 2022 ident: 10.1016/j.infrared.2023.104595_b0035 article-title: A rapid recognition method of Auricularia auricula varieties based on near-infrared spectral characteristics publication-title: Infrared Phys. Technol. doi: 10.1016/j.infrared.2022.104239 contributor: fullname: Yang – volume: 123 year: 2022 ident: 10.1016/j.infrared.2023.104595_b0060 article-title: Fast identification of soybean varieties using Raman spectroscopy publication-title: Vibr. Spectrosc. doi: 10.1016/j.vibspec.2022.103447 contributor: fullname: Li – volume: 67 start-page: 736 issue: 4 year: 2005 ident: 10.1016/j.infrared.2023.104595_b0160 article-title: A method for calibration and validation subset partitioning publication-title: Talanta doi: 10.1016/j.talanta.2005.03.025 contributor: fullname: Galvão – volume: 89 start-page: 351 year: 2018 ident: 10.1016/j.infrared.2023.104595_b0075 article-title: Application of SWIR hyperspectral imaging and chemometrics for identification of aflatoxin B1 contaminated maize kernels publication-title: Infrared Phys. Technol. doi: 10.1016/j.infrared.2018.01.026 contributor: fullname: Kimuli – volume: 105 year: 2020 ident: 10.1016/j.infrared.2023.104595_b0220 article-title: Detection of fat content in peanut kernels based on chemometrics and hyperspectral imaging technology publication-title: Infrared Phys. Technol. doi: 10.1016/j.infrared.2020.103226 contributor: fullname: Sun – volume: 39 start-page: 910 issue: 3 year: 2019 ident: 10.1016/j.infrared.2023.104595_b0070 article-title: Visualization of Water Content Distribution in Potato Leaves Based on Hyperspectral Image publication-title: Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis contributor: fullname: Sun – volume: 107 year: 2020 ident: 10.1016/j.infrared.2023.104595_b0065 article-title: An rapid nondestructive testing method for distinguishing rice producing areas based on Raman spectroscopy and support vector machine publication-title: Vib. Spectrosc doi: 10.1016/j.vibspec.2019.103017 contributor: fullname: Tian – volume: 114 issue: 1 year: 2021 ident: 10.1016/j.infrared.2023.104595_b0120 article-title: Development of Simplified Models for Nondestructive Testing of Rice (with Husk) Protein Content Using Hyperspectral Imaging Technology publication-title: Vib. Spectrosc contributor: fullname: Ma – volume: 6 start-page: 2699 year: 2014 ident: 10.1016/j.infrared.2023.104595_b0240 article-title: Estimating soil organic carbon using VIS/NIR spectroscopy with SVMR and SPA methods publication-title: Remote Sens. (Basel) doi: 10.3390/rs6042699 contributor: fullname: Peng – volume: 111 year: 2020 ident: 10.1016/j.infrared.2023.104595_b0275 article-title: Quantification of beef, pork, and chicken in ground meat using a portable NIR spectrometer publication-title: Vib. Spectrosc doi: 10.1016/j.vibspec.2020.103158 contributor: fullname: Silva – volume: 169 year: 2020 ident: 10.1016/j.infrared.2023.104595_b0305 article-title: Evaluating photosynthetic pigment contents of maize using UVE-PLS based on continuous wavelet transform publication-title: Comput. Electron. Agric. doi: 10.1016/j.compag.2019.105160 contributor: fullname: Wang – volume: 93 start-page: 7 issue: 1 year: 2009 ident: 10.1016/j.infrared.2023.104595_b0140 article-title: Identification of mushrooms subjected to freeze damage using hyperspectral imaging publication-title: J. Food Eng. doi: 10.1016/j.jfoodeng.2008.12.021 contributor: fullname: Gowen – volume: 34 start-page: 646 issue: 10 year: 2013 ident: 10.1016/j.infrared.2023.104595_b0235 article-title: Prediction of the Thickness of a Thin Paint Film by Applying a Modified Partial-Least-Squares-1 Method to Data Obtained in Terahertz Reflectometry publication-title: J. Infrared, Millimeter, Terahertz Waves doi: 10.1007/s10762-013-0015-2 contributor: fullname: Iwata – volume: 32 start-page: e2979 issue: 5 year: 2018 ident: 10.1016/j.infrared.2023.104595_b0170 article-title: Application of near-infrared spectroscopy combined with chemometrics for online monitoring of Moluodan extraction publication-title: J. Chemom. doi: 10.1002/cem.2979 contributor: fullname: Tao – volume: 28 start-page: 993 year: 2012 ident: 10.1016/j.infrared.2023.104595_b0280 article-title: At-line monitoring of key parameters of nisin fermentation by near infrared spectroscopy, chemometric modeling and model improvement publication-title: World J. Microbiol. Biotechnol. doi: 10.1007/s11274-011-0897-x contributor: fullname: Guo – volume: 12 start-page: 17234 issue: 12 year: 2012 ident: 10.1016/j.infrared.2023.104595_b0130 article-title: Application of Hyperspectral Imaging and Chemometric Calibrations for Variety Discrimination of Maize Seeds publication-title: Sensors (Basel, Switzerland) doi: 10.3390/s121217234 contributor: fullname: Zhang – volume: 113 year: 2022 ident: 10.1016/j.infrared.2023.104595_b0150 article-title: An improved whale optimization algorithm based on multilevel threshold image segmentation using the Otsu method publication-title: Eng. Appl. Artif. Intel. doi: 10.1016/j.engappai.2022.104960 contributor: fullname: Ma – volume: 138 start-page: 1162 issue: 2–3 year: 2013 ident: 10.1016/j.infrared.2023.104595_b0025 article-title: Non-destructive determination of chemical composition in intact and minced pork using near-infrared hyperspectral imaging publication-title: Food Chem. doi: 10.1016/j.foodchem.2012.11.120 contributor: fullname: Barbin |
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| Snippet | •NIR Hyperspectral imaging technology was used to predict the protein content in potato flour noodles.•OSC pretreatment algorithm was beneficial to improve the... |
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| StartPage | 104595 |
| SubjectTerms | Hyperspectral imaging Multivariate analysis Potato flour noodles Protein content Visualization |
| Title | A non-destructive determination of protein content in potato flour noodles using near-infrared hyperspectral imaging technology |
| URI | https://dx.doi.org/10.1016/j.infrared.2023.104595 |
| Volume | 130 |
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