Abstract
Monitoring of critical process parameters was conducted by combining near infrared (NIR) spectroscopy and chemometrics to achieve real-time measurements and adjustments of thermophilic solid-state fermentation of soybean meal (SBM). Fermentation was conducted by Bacillus licheniformis YYC4 under the conditions of unsterilized SBM 20 g, inoculation 107 CFU g-1 wet basis, ratio of substrate to water 1:1.8 (g mL-1), MgSO4 0.12%, and 55 °C for 60 h in a 150 mL beaker. During fermentation, pH increased from 6.60 to 9.21 (0–50 h), followed by a slight change to 9.09 (50–60 h). Moisture decreased gradually from 66.62 to 58.01%. Soluble protein decreased slightly from 4.92 to 4.48% (0–2 h) before increasing significantly to 16.26% (30 h) and 18.57% (50 h). Then, it decreased to 17.19% at the end of fermentation (60 h). Trypsin inhibitor (TI) activity remained almost no change within 0–6 h before decreasing from 8.19 to 3.19 mg g-1 (50 h). After that, a further decrease to 2.15 mg g-1 (60 h) was observed. Based on offline analytics, synergy interval partial least squares (siPLS) models were established to monitor these variables after spectral pretreatment. Root mean squared errors (RMSEP) and coefficient of determination (RP) of prediction could achieve 0.169 and 0.9781, 0.313% and 0.9909, 0.681% and 0.9883, 0.236 mg g-1 and 0.9916 for pH, moisture, soluble protein and TI contents respectively, with an acceptable accuracy. The satisfactory prediction model underpins the potential of NIR spectroscopy in bioprocess monitoring applications.
Similar content being viewed by others
Data Availability
The authors confirm that the data supporting the findings of this study are available within the article.
References
E.M. Hoffmann, S. Muetzel, K. Becker, Anim. Feed Sci. Technol. 106, 189–197 (2003). https://doi.org/10.1016/S0377-8401(02)00321-8
T. Holzhauser, O. Wackermann, B. Ballmer-Weber, C. Bindslev-Jensen, J. Scibilia, L. Perono-Garoffo, S. Utsumi, L. Poulsen, S. Vieths, J. Allergy Clin. Immunol. 123, 452–458 (2009). https://doi.org/10.1016/j.jaci.2008.09.034
C.H. Dai, H.L. Ma, R.H. He, L.R. Huang, S.Y. Zhu, Q.Z. Ding, L. Luo, LWT 86, 1–7 (2017). https://doi.org/10.1016/j.lwt.2017.07.041
A. Biz, A.T.J. Finkler, L.O. Pitol, B.S. Medina, N. Krieger, D.A. Mitchell, Biochem. Eng. J. 111, 54–62 (2016). https://doi.org/10.1016/j.bej.2016.03.007
P. Selvakumar, L. Ashakumary, A. Pandey, Bioresour Technol. 65, 83–85 (1998). https://doi.org/10.1016/S0960-8524(98)00012-1
A.R. de Olmos, M.S. Garro, Food Biosci. 35, 100584 (2020). https://doi.org/10.1016/j.fbio.2020.100584
L. Chen, Z.J. Zhao, W. Yu, L. Zhang, L.J. Li, W. Gu, H.Y. Xu, B.D. Wei, X.G. Yan, AMB Express. 11, 23 (2021). https://doi.org/10.1186/s13568-021-01184-x
C.H. Dai, Y.Z. Hou, H.N. Xu, L.R. Huang, M. Dabbour, B.K. Mintah, R.H. He, H.L. Ma, J. Sci. Food Agric. 102, 557–566 (2021). https://doi.org/10.1002/jsfa.11384
X.S. Hou, C.H. Dai, Y.X. Tang, Z. Xing, B.K. Mintah, M. Dabbour, Q.Z. Ding, R.H. He, H.L. Ma, LWT 116, 108520 (2019). https://doi.org/10.1016/j.lwt.2019.108520
A. Corma, S. Iborra, A. Velty, Chem. Rev. 107, 2411–2502 (2007). https://doi.org/10.1021/cr050989d
R. Zimmerleiter, J. Kager, R. Nikzad-Langerodi, V. Berezhinskiy, F. Westad, C. Herwig, M. Brandstetter, Anal. Bioanal Chem. 412, 2103–2109 (2020). https://doi.org/10.1007/s00216-019-02227-w
A. González-Mohino, T. Pérez-Palacios, T. Antequera, J. Ruiz-Carrascal, L.S. Olegario, S. Grassi, Foods. 9, 1294 (2020). https://doi.org/10.3390/foods9091294
S.W. Fan, T.H. Pan, G.Q. Li, Int. J. Food Microbiol. 16, 20200127 (2020). https://doi.org/10.1515/ijfe-2020-0127
A.C. Barchi, S. Ito, B. Escaramboni, P. de Oliva Neto, R.D. Herculano, M.C.R. Miranda, F.J. Passalia, J.C. Rocha, E.G.F. Nunez, Process. Biochem. 51, 1338–1347 (2016). https://doi.org/10.1016/j.procbio.2016.07.017
H. Jiang, G.H. Liu, C.L. Mei, S. Yu, X.H. Xiao, Y.H. Ding, Spectrochim. Acta A Mol. Biomol. Spectrosc. 97, 277–283 (2012). https://doi.org/10.1016/j.saa.2012.06.024
W.G. Lu, Z.X. Wen, H.C. Li, D.H. Yuan, J.Y. Li, H. Zhang, Z.W. Huang, S.Y. Cui, W.Y. Du, Theor. Appl. Genet. 126, 425–433 (2013). https://doi.org/10.1007/s00122-012-1990-8
M.L. Kakade, J.J. Rackis, J.E. McGhee, G. Puski, Cereal Chem. 51, 376–381 (1974). http://dx.doi.org/
L. Norgaard, A. Saudland, J. Wagner, J.P. Nielsen, L. Munck, S.B. Engelsen, Appl. Spectrosc. 54, 413–419 (2000). https://doi.org/10.1366/0003702001949500
F. Mabood, J. Hussain, F. Jabeen, G. Abbas, B. Allaham, M. Albroumi, S. Alghawi, S. Alameri, S.A. Gilani, A. Al-Harrasi, Q.M.I. Haq, S. Farroq, Food Addit. Contam. Part. A Chem. Anal. Control Expo Risk Assess. 35, 1052–1060 (2018). https://doi.org/10.1080/19440049.2018.1457802
H.J. Liu, X. Zhong, Y. Huang, C.C. Qiao, C. Shao, R. Li, Q.R. Shen, Pedosphere. 28, 261–268 (2018). https://doi.org/10.1016/S1002-0160(18)60012-8
J.W.C. Wong, K.F. Mak, N.W. Chan, A. Lam, M. Fang, L.X. Zhou, Q.T. Wu, X.D. Liao, Bioresour Technol. 76, 99–106 (2001). https://doi.org/10.1016/S0960-8524(00)00103-6
J.Y. Lim, J.J. Kimm, D.S. Lee, G.H. Kim, J.Y. Shim, I. Lee, J.Y. Imm, Food Chem. 120, 255–260 (2010). https://doi.org/10.1016/j.foodchem.2009.10.017
Y.L. Gao, C.S. Wang, Q.H. Zhu, G.Y. Qian, J. Integr. Agric. 12, 869–876 (2013). https://doi.org/10.1016/S2095-3119(13)60305-6
K.J. Hong, C.H. Lee, S.W. Kim, J. Med. Chem. 7, 430–435 (2004). https://doi.org/10.1089/jmf.2004.7.430
A.W. Burks, G. Cockrell, C. Connaughton, J. Guin, W. Allen, R.M. Helm, Int. Arch. Allergy Immunol. 105, 143–149 (1994). https://doi.org/10.1159/000236816
M. Blanco, J. Coello, H. Iturriaga, S. Maspoch, J. Pagès, Chemometr Intell. Lab. Syst. 50, 75–82 (2000). https://doi.org/10.1016/S0169-7439(99)00048-9
Z. Xing, H. Jiang, R.H. He, K.M. Benjamin, D. Mokhtar, C.H. Dai, L. Sun, H.L. Ma, J. Food Saf. 40, e12754 (2020). https://doi.org/10.1111/jfs.12754
J.B. Liang, D.L. Zhang, X. Guo, Q.Y. Xu, X.X. Xie, C.L. Zhang, G. Bai, X. Xiao, N. Chen, Bioprocess. Biosyst Eng. 36, 1879–1887 (2013). https://doi.org/10.1007/s00449-013-0962-y
B.Q. Wang, B.Z. Peng, J. Food Sci. 82, 358–363 (2017). https://doi.org/10.1111/1750-3841.13604
M. Goncalves, N.T. Paiva, J.M. Ferra, J. Martins, F.D. Magalhães, L. Carvalho, Int. J. Adhes. Adhes. 93, 47–51 (2019). https://doi.org/10.1016/j.ijadhadh.2019.01.021
J. Muncan, K. Tei, R. Tsenkova, Sensors. 21, 177 (2021). https://doi.org/10.3390/s21010177
H. Büning-Pfaue, Food Chem. 82, 107–115 (2003). https://doi.org/10.1016/S0308-8146(02)00583-6
S.W. Bruun, I. Sondergaard, S. Jacobsen, J. Agric, Food Chem. 55, 7234–7243 (2007). https://doi.org/10.1021/jf063680j
Y. Ozaki, in Applications in chemistry in near-infrared spectroscopy: Principles, instruments and applications. ed. by H.W. Siesler, Y. Ozaki, S. Kawata, H.M. Heise, (Wiley-VCH, Weinheim, 2001), pp. 163–178. https://doi.org/10.1002/9783527612666.ch08
Acknowledgements
This study was supported by grants from National Natural Science Foundation of China (31972208), Primary Research & Development Plan of Jiangsu Province (BE2021337, BE2020329) and Agricultural Science and Technology Support Program of Zhenjiang in China (NY2020014).
Author information
Authors and Affiliations
Contributions
Chunhua Dai, Xueting Xu and Wei Huang: Investigation, Data curation, Formal analysis, Writing-original draft; Pengfei Yan and Yizhi Hou: Writing-Reviewing & Editing, Checking English language; Ronghai He and Haile Ma: Supervision.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Dai, C., Xu, X., Huang, W. et al. Monitoring of critical parameters in thermophilic solid-state fermentation process of soybean meal using NIR spectroscopy and chemometrics. Food Measure 17, 576–585 (2023). https://doi.org/10.1007/s11694-022-01628-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11694-022-01628-3