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International Journal of AI
for Material and Design ML in 3D bioprinting of cultivated meat

Suichang native honey. Sci Rep. 2022;12(1):3456. 82. Papadopoulou O, Panagou EZ, Tassou, CC, Nychas GJE.
Contribution of Fourier transform infrared (FTIR)
doi: 10.1038/s41598-022-07222-3
spectroscopy data on the quantitative determination of minced
72. Tao F, Yao H, Hruska Z, Rajasekaran K, Qin J, Kim M. pork meat spoilage. Food Res Int. 2011;44(10):3264-3271.
Use of line-scan Raman hyperspectral imaging to identify
corn kernels infected with Aspergillus flavus. J Cereal Sci. doi: 10.1016/j.foodres.2011.09.012
2021;102:103364. 83. Wijaya DR, Sarno R, Zulaika E. DWTLSTM for electronic
nose signal processing in beef quality monitoring. Sens
doi: 10.1016/j.jcs.2021.103364
Actuators B Chem. 2021;326:128931.
73. Yan S, Wang S, Qiu J, et al. Raman spectroscopy combined
with machine learning for rapid detection of food-borne doi: 10.1016/j.snb.2020.128931
pathogens at the single-cell level. Talanta. 2021;226:122195. 84. Li YC, Liu SY, Meng FB, et al. Comparative review and
the recent progress in detection technologies of meat
doi: 10.1016/j.talanta.2021.122195
product adulteration. Compr Rev Food Sci Food Saf.
74. Zheng X, Peng Y, Wang W. A nondestructive real- 2020;19(4):2256-2296.
time detection method of total viable count in pork by
hyperspectral imaging technique. Appl Sci. 2017;7(3):213. doi: 10.1111/1541-4337.12579
85. Fan B, Zhu R, He D, Wang S, Cui X, Yao X. Evaluation of mutton
doi: 10.3390/app7030213
adulteration under the effect of mutton flavour essence using
75. Argyri AA, Panagou EZ, Tarantilis P, Polysiou M, hyperspectral imaging combined with machine learning and
Nychas GJE. Rapid qualitative and quantitative detection sparrow search algorithm. Foods. 2022;11(15):2278.
of beef fillets spoilage based on Fourier transform infrared doi: 10.3390/foods11152278
spectroscopy data and artificial neural networks. Sens
Actuators B Chem. 2010;145(1):146-154. 86. Nunes KM, Andrade MVO, Santos Filho AMP, Lasmar MC,
Sena MM. Detection and characterisation of frauds in
doi: 10.1016/j.snb.2009.11.052
bovine meat in natura by non-meat ingredient additions
76. Enériz D, Medrano N, Calvo B. An FPGA-based machine using data fusion of chemical parameters and ATR-FTIR
learning tool for in-situ food quality tracking using sensor spectroscopy. Food Chem. 2016;205:14-22.
fusion. Biosensors. 2021;11(10):366.
doi: 10.1016/j.foodchem.2016.02.158
doi: 10.3390/bios11100366
87. Wakhid S, Sarno R, Sabilla SI. The effect of gas concentration
77. Yang H, Hopkins DL, Zhang Y, et al. Preliminary investigation on detection and classification of beef and pork mixtures
of the use of Raman spectroscopy to predict beef spoilage in using E-nose. Comput Electron Agric. 2022;195:106838.
different types of packaging. Meat Sci. 2020;165:108136.
doi: 10.1016/j.compag.2022.106838
doi: 10.1016/j.meatsci.2020.108136
88. Alamprese C, Casale M, Sinelli N, Lanteri S, Casiraghi E.
78. Panagou EZ, Papadopoulou O, Carstensen JM, Nychas GJ. Detection of minced beef adulteration with turkey meat by
Potential of multispectral imaging technology for rapid UV-vis, NIR and MIR spectroscopy. LWT Food Sci Technol.
and non-destructive determination of the microbiological 2013;53(1):225-232.
quality of beef filets during aerobic storage. Int J Food doi: 10.1016/j.lwt.2013.01.027
Microbiol. 2014;174:1-11.
89. Meza-Márquez OG, Gallardo-Velázquez T, Osorio-
doi: 10.1016/j.ijfoodmicro.2013.12.026
Revilla G. Application of mid-infrared spectroscopy with
79. Tsakanikas P, Pavlidis D, Panagou E, Nychas GJ. Exploiting multivariate analysis and soft independent modeling of
multispectral imaging for non-invasive contamination class analogies (SIMCA) for the detection of adulterants in
assessment and mapping of meat samples. Talanta. minced beef. Meat Sci. 2010;86(2):511-519.
2016;161:606-614.
doi: 10.1016/j.meatsci.2010.05.044
doi: 10.1016/j.talanta.2016.09.019
90. Rohman A, Sismindari, Erwanto Y, Man YBC. Analysis of
80. Yang D, He D, Lu A, Ren D, Wang J. Detection of the freshness pork adulteration in beef meatball using Fourier transform
state of cooked beef during storage using hyperspectral infrared (FTIR) spectroscopy. Meat Sci. 2011;88(1):91-95.
imaging. Appl Spectrosc. 2017;71(10):2286-2301.
doi: 10.1016/j.meatsci.2010.12.007
doi: 10.1177/0003702817718807
91. Guntarti A, Martono S, Yuswanto A, Rohman A. FTIR
81. Huang L, Zhao J, Chen Q, Zhang Y. Rapid detection of total spectroscopy in combination with chemometrics for
viable count (TVC) in pork meat by hyperspectral imaging. analysis of wild boar meat in meatball formulation. Asian J
Food Res Int. 2013;54(1):821-828. Biochem. 2015;10(4):165-172.
doi: 10.1016/j.foodres.2013.08.011 doi: 10.3923/ajb.2015.165.172

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