Abstract
Moringa oleifera leaves are potentially benign sources of natural folates, thus a reliable folate extraction protocol is necessary, which directly affects the accuracy of subsequent determination of total folates or various folate derivatives. With this aim, process variables including antioxidants, extraction buffer pH, Moringa oleifera leaves powder (MOLP)/extraction buffer ratio, heating extraction time, amounts of α-amylase, protease and rat serum, and also incubation time of rat serum were investigated and optimized by response surface methodology (RSM). It is interesting that no positive influence of α-amylase or protease solution was observed in this study, consequently a single-enzyme treatment was used. An average folate level of 1190.06 µg/100 g dry matter was achieved by microbial assay under the optimized conditions of extraction buffer pH 7.0, MOLP/extraction buffer ratio 1:24 (g/mL), rat serum 350 µL, digest time 2.0 h, in good agreement with the value predicted by quadratic model. In addition, the validity of protocol established in this study was confirmed. The intra-day precision (relative standard deviation) varied between 1.42% with 1.84%, inter-day precision varied in the range of 1.34–2.25%. The average recoveries were in the range of 101.56–103.27%. Besides, the matrix effects ranged from 101.41 to 103.34%. The protocol could provide a reference to fairly evaluate folates in Moringa oleifera leaves from diverse sources, and even in other leafy plants. Meanwhile, Moringa oleifera leaves with high folate level seem to have tremendous potential to increase nutritional value of foods as well as to enhance regional economies.
Similar content being viewed by others
Data availability
Not applicable.
References
F. Wang, Y. Bao, C. Zhang, L. Zhan, W. Khan, S. Siddiqua, S. Ahmad, E. Capanoglu, K. Skalicka-Wozniak, L. Zou, J. Simal-Gandara, H. Cao, Z. Weng, X. Shen, J. Xiao, Crit. Rev. Food Sci. Nutr. 62(14), 3873–3897 (2022). https://doi.org/10.1080/10408398.2020.1870099
A.K. Dhakad, M. Ikram, S. Sharma, S. Khan, V.V. Pandey, A. Singh, Phytother. Res. 33(11), 2870–2903 (2019). https://doi.org/10.1002/ptr.6475
A. Gautier, C.M. Duarte, I. Sousa, Foods 11(11), 1629 (2022). https://doi.org/10.3390/foods11111629
M.P. Swetha, C. Radha, S.P. Muthukumar, J. Food Meas. Charact. 12(3), 1917–1926 (2018). https://doi.org/10.1007/s11694-018-9806-4
X. Kou, B. Li, J.B. Olayanju, J.M. Drake, N. Chen, Nutrients 10(3), 343 (2018). https://doi.org/10.3390/nu10030343
Z.F. Ma, J. Ahmad, H. Zhang, I. Khan, S. Muhammad, S. Afr, J. Bot. 129, 40–46 (2020). https://doi.org/10.1016/j.sajb.2018.12.002
S.O. Salawu, E.O. Ibukun, I.A. Esan, J. Food Meas. Charact. 13(1), 602–613 (2018). https://doi.org/10.1007/s11694-018-9973-3
G. Rocchetti, C. Rizzi, G. Pasini, L. Lucini, G. Giuberti, B. Simonato, Foods (2020). https://doi.org/10.3390/foods9050628
K.Z. Khor, V. Lim, E.J. Moses, N. Abdul Samad, Evid. Based Complement Altern. Med. 2018, 1071243 (2018). https://doi.org/10.1155/2018/1071243
K. Sharma, M. Kumar, R. Waghmare, R. Suhag, O.P. Gupta, J.M. Lorenzo, S. Prakash, Radha, N. Rais, V. Sampathrajan, C. Thappa, T. Anitha, A.A.S. Sayed, B.A. Abdel-Wahab, M. Senapathy, R. Pandiselvam, A. Dey, S. Dhumal, R. Amarowicz, J.F. Kennedy, Int. J. Biol. Macromol. 209, 763–778 (2022). https://doi.org/10.1016/j.ijbiomac.2022.04.047
Y. Yang, L. Lin, M. Zhao, X. Yang, Int. J. Biol. Macromol. 210, 518–529 (2022). https://doi.org/10.1016/j.ijbiomac.2022.04.206
J.-C.A. Obih, P.O. Obih, O.S. Arome, FASEB J. 34(S1), 1–1 (2020). https://doi.org/10.1096/fasebj.2020.34.s1.04647
Q. Gao, Z. Wei, Y. Liu, F. Wang, S. Zhang, C. Serrano, L. Li, B. Sun, Molecules 27(3), 678 (2022). https://doi.org/10.3390/molecules27030678
R. Devi, J. Arcot, S. Sotheeswaran, S. Ali, Food Chem. 106(3), 1100–1104 (2008). https://doi.org/10.1016/j.foodchem.2007.07.037
C. Liu, Y. Wu, J. Long, Trop. Agric. Sci. Technol. 26(4), 1–2+14 (2003). https://doi.org/10.16005/j.cnki.tast.2003.04.001
R.K. Saini, P. Manoj, N.P. Shetty, K. Srinivasan, P. Giridhar, J. Food Sci. Technol. 53(1), 511–520 (2016). https://doi.org/10.1007/s13197-015-1828-x
R. Penalver, L. Martinez-Zamora, J.M. Lorenzo, G. Ros, G. Nieto, Foods 11(8), 1107 (2022). https://doi.org/10.3390/foods11081107
G.S. Ducker, J.D. Rabinowitz, Cell Metab. 25(1), 27–42 (2017). https://doi.org/10.1016/j.cmet.2016.08.009
B. de la Fourniere, F. Dhombres, P. Maurice, S. de Foucaud, P. Lallemant, M. Zerah, L. Guilbaud, J.M. Jouannic, Nutrients 12(10), 3170 (2020). https://doi.org/10.3390/nu12103170
S.Z. Levine, A. Kodesh, A. Viktorin, L. Smith, R. Uher, A. Reichenberg, S. Sandin, JAMA Psychiatry 75(2), 176–184 (2018). https://doi.org/10.1001/jamapsychiatry.2017.4050
Y. Hama, T. Hamano, N. Shirafuji, K. Hayashi, A. Ueno, S. Enomoto, M. Nagata, H. Kimura, A. Matsunaga, M. Ikawa, O. Yamamura, T. Ito, Y. Kimura, M. Kuriyama, Y. Nakamoto, Nutrients 12(10), 3138 (2020). https://doi.org/10.3390/nu12103138
A. Jayedi, M.S. Zargar, Crit. Rev. Food Sci. Nutr. 59(16), 2697–2707 (2019). https://doi.org/10.1080/10408398.2018.1511967
A.D. Smith, H. Refsum, T. Bottiglieri, M. Fenech, B. Hooshmand, A. McCaddon, J.W. Miller, I.H. Rosenberg, R. Obeid, J. Alzheimers Dis. 62(2), 561–570 (2018). https://doi.org/10.3233/JAD-171042
E. Roberts, B. Carter, A.H. Young, J. Psychopharmacol. 32(4), 377–384 (2018). https://doi.org/10.1177/0269881118756060
Z.D. Epstein-Peterson, D.G. Li, J.A. Lavery, B. Barrow, I. Chokshi, D. Korenstein, Support. Care Cancer 28(9), 4235–4240 (2020). https://doi.org/10.1007/s00520-019-05267-1
X. Ren, P. Xu, D. Zhang, K. Liu, D. Song, Y. Zheng, S. Yang, N. Li, Q. Hao, Y. Wu, Z. Zhai, H. Kang, Z. Dai, Aging (Albany NY) 12(21), 21355–21375 (2020). https://doi.org/10.18632/aging.103881
M.S. Field, P.J. Stover, Ann. N. Y. Acad. Sci. 1414(1), 59–71 (2018). https://doi.org/10.1111/nyas.13499
H. Chen, L. Qin, R. Gao, X. Jin, K. Cheng, S. Zhang, X. Hu, W. Xu, H. Wang, Crit. Rev. Food Sci. Nutr. (2021). https://doi.org/10.1080/10408398.2021.1993781
K.E. Christensen, L.G. Mikael, K.Y. Leung, N. Levesque, L. Deng, Q. Wu, O.V. Malysheva, A. Best, M.A. Caudill, N.D. Greene, R. Rozen, Am. J. Clin. Nutr. 101(3), 646–658 (2015). https://doi.org/10.3945/ajcn.114.086603
D. Leclerc, J. Jelinek, K.E. Christensen, J.J. Issa, R. Rozen, J. Nutr. Biochem. 88, 108554 (2021). https://doi.org/10.1016/j.jnutbio.2020.108554
N. Delchier, A.L. Herbig, M. Rychlik, C. Renard, Compr. Rev. Food Sci. Food Saf. 15(3), 506–528 (2016). https://doi.org/10.1111/1541-4337.12193
A.M. Gazzali, M. Lobry, L. Colombeau, S. Acherar, H. Azais, S. Mordon, P. Arnoux, F. Baros, R. Vanderesse, C. Frochot, Eur. J. Pharm. Sci. 93, 419–430 (2016). https://doi.org/10.1016/j.ejps.2016.08.045
S. Yin, Y. Yang, Y. Li, C. Sun, Anal. Methods 10(1), 9–21 (2018). https://doi.org/10.1039/c7ay02501g
H. Zhang, A.B. Jha, T.D. Warkentin, A. Vandenberg, R.W. Purves, J. Food Compost. Anal. 71, 44–55 (2018). https://doi.org/10.1016/j.jfca.2018.04.008
C. Ringling, M. Rychlik, Anal. Bioanal. Chem. 409(7), 1815–1825 (2017). https://doi.org/10.1007/s00216-016-0126-4
P. Loznjak, L. Striegel, R.I. Diaz De la Garza, M. Rychlik, J. Jakobsen, Food Chem. 305, 125450 (2020). https://doi.org/10.1016/j.foodchem.2019.125450
B.D. Gill, S. Saldo, J.E. Wood, H.E. Indyk, J. AOAC Int. 101(5), 1578–1583 (2018). https://doi.org/10.5740/jaoacint.18-0065
X. Wan, L.D. Han, M. Yang, H.Y. Zhang, C.Y. Zhang, P. Hu, Anal. Bioanal. Chem. 411(13), 2891–2904 (2019). https://doi.org/10.1007/s00216-019-01742-0
T. Bertuzzi, S. Rastelli, A. Mulazzi, F. Rossi, Food Anal. Methods 12(3), 722–728 (2018). https://doi.org/10.1007/s12161-018-1396-6
Y. Zou, H. Duan, L. Li, X. Chen, C. Wang, Food Chem. 276, 1–8 (2019). https://doi.org/10.1016/j.foodchem.2018.09.151
M.J.I. Shohag, Q. Yang, Y. Wei, J. Zhang, F.Z. Khan, M. Rychlik, Z. He, X. Yang, J. Chromatogr. B 1040, 169–179 (2017). https://doi.org/10.1016/j.jchromb.2016.11.033
P. Morales, V. Fernández-Ruiz, M.C. Sánchez-Mata, M. Cámara, J. Tardío, Food Anal. Methods 8(2), 302–311 (2014). https://doi.org/10.1007/s12161-014-9887-6
S. Kobany, D. Schmieg, D.W. Plank, L.A. Povolny, M. Shepard, M. Lam, N. Galvan, D. Brown, J. AOAC Int. 102(3), 971–974 (2019). https://doi.org/10.5740/jaoacint.18-0317
E. Nakilcioğlu-Taş, S. Ötleş, J. Food Meas. Charact. 13(2), 1497–1507 (2019). https://doi.org/10.1007/s11694-019-00065-z
T. Cui, J. Li, N. Li, F. Li, Y. Song, L. Li, J. Food Meas. Charact. 16(4), 3130–3139 (2022). https://doi.org/10.1007/s11694-022-01412-3
S. Rohilla, C.L. Mahanta, J. Food Meas. Charact. 15(2), 1763–1773 (2021). https://doi.org/10.1007/s11694-020-00751-3
U.S. Department of Health and Human Services-Food and Drug Administration, Bioanalytical method validation, guidance for industry (2018). https://www.fda.gov/files/drugs/published/Bioanalytical-Method-Validation-Guidance-for-Industry.pdf
H. Zhang, A.B. Jha, D. De Silva, R.W. Purves, T.D. Warkentin, A. Vandenberg, J. Chromatogr. B 1121, 39–47 (2019). https://doi.org/10.1016/j.jchromb.2019.05.007
X. Huang, K.-H. Liang, Q. Liu, J. Qiu, J. Wang, H. Zhu, Ind. Crops Prod. 151, 112472 (2020). https://doi.org/10.1016/j.indcrop.2020.112472
M. Niu, B. Zhang, C. Jia, S. Zhao, Int. J. Biol. Macromol. 104(Pt A), 837–845 (2017). https://doi.org/10.1016/j.ijbiomac.2017.06.125
Z.-Q. Zhang, S.-C. Chen, Q.-L. Wang, C.-Q. Liu, J.-H. Xiao, D.-W. Huang, LWT 173, 114307 (2023). https://doi.org/10.1016/j.lwt.2022.114307
S. Luo, H. Duan, Y. Zou, R. Qiu, C. Wang, J. Nutr. Sci. Vitaminol. 63(1), 69–80 (2017). https://doi.org/10.3177/jnsv.63.69
Acknowledgements
Sincere thanks to the financial support by the Yunnan University Key Laboratory of Food Microbial Resources and Utilization (Yunjiaofa [2018] No. 135), the Cassava Industrial Technology System of China (CARS-11-YNSJ) and the Major Project of Science and Technology Department of Yunnan Province (2018ZI001 and 202002AA100005). The authors also would like to acknowledge all the reviewers for their precious comments and suggestions to enhance the quality of the manuscript.
Funding
This work was supported by the Yunnan University Key Laboratory of Food Microbial Resources and Utilization (Yunjiaofa [2018] No. 135), the Cassava Industrial Technology System of China (CARS-11-YNSJ) and the Major Project of Science and Technology Department of Yunnan Province (2018ZI001 and 202002AA100005).
Author information
Authors and Affiliations
Contributions
Conceptualization: HD, YH; Methodology and experiments: HD, TL; Data analysis: HD, QX; Writing—original draft preparation: HD; Writing—review and editing: YH, YT; Supervision: YH, YT. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors have no competing interests to declare that are relevant to the content of this article.
Ethical approval
Not applicable.
Informed consent
Not applicable.
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 (e.g. a society or other partner) 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
Du, H., Li, T., Xue, Q. et al. Optimization and validation of folate extraction from Moringa oleifera leaves powder. Food Measure 17, 3423–3434 (2023). https://doi.org/10.1007/s11694-023-01876-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11694-023-01876-x