Classification of Black Mahlab seeds (Monechma ciliatum) using GC-MS and FT-NIR and simultaneous prediction of their major volatile compounds using chemometrics

Haroon Elrasheid Tahir; Abdalbasit Adam Mariod; Sulafa B H Hashim; Muhammad Arslan; Gustav Komla Mahunu; Huang Xiaowei; Li Zhihua; Isameldeen I H Abdalla; Zou Xiaobo

doi:10.1016/j.foodchem.2022.134948

Classification of Black Mahlab seeds (Monechma ciliatum) using GC-MS and FT-NIR and simultaneous prediction of their major volatile compounds using chemometrics

Food Chem. 2023 May 15:408:134948. doi: 10.1016/j.foodchem.2022.134948. Epub 2022 Nov 14.

Authors

Haroon Elrasheid Tahir¹, Abdalbasit Adam Mariod², Sulafa B H Hashim³, Muhammad Arslan³, Gustav Komla Mahunu⁴, Huang Xiaowei³, Li Zhihua³, Isameldeen I H Abdalla⁵, Zou Xiaobo⁶

Affiliations

¹ School of Food and Biological Engineering, Jiangsu University, 301 Xuefu Rd., 212013 Zhenjiang, Jiangsu, China. Electronic address: haroona28@yahoo.com.
² Indigenous Knowledge and Heritage Center at Ghibaish College of Science & Technology in Ghibaish, Sudan; College of Sciences and Arts-Alkamil, University of Jeddah, Alkamil, P.O. Box 110, Saudi Arabia. Electronic address: basitmariod58@gmail.com.
³ School of Food and Biological Engineering, Jiangsu University, 301 Xuefu Rd., 212013 Zhenjiang, Jiangsu, China.
⁴ Department of Food Science & Technology, Faculty of Agriculture, Food and Consumer Sciences, University for Development Studies, Tamale, Ghana.
⁵ Department of Crop Production, Faculty of Agriculture, Red Sea University, Port Sudan, Sudan.
⁶ School of Food and Biological Engineering, Jiangsu University, 301 Xuefu Rd., 212013 Zhenjiang, Jiangsu, China. Electronic address: zou_xiaobo@ujs.edu.cn.

PMID: 36528991
DOI: 10.1016/j.foodchem.2022.134948

Abstract

The identification of geographical origin is an important factor in assessing the quality of aromatic and medicinal seeds such as Black Mahlab (Monechma ciliatum). However, at present, there are no studies concerning Black Mahlab Seeds (BMSs). To identify the geographical origin of BMSs, we have used gas chromatography-mass spectrometry (GC-MS) and Fourier transform infrared spectroscopy (FT-NIR) combined with chemometrics. Chemometrics analysis showed that FT-NIR and GC-MS can be used to discriminate the geographical origin of BMSs. FT-NIR coupled with the partial least squares regression (PLSR) was applied to develop the calibration models. The calibration models had a coefficient of determination (R_c²) of 0.82 for coumarin and 0.81 for methyl salicylate. The prediction model (R_p²) values ranged from 0.83 for coumarin to 0.77 for methyl salicylate. Overall, the chemometrics presented correct classification, and PLSR accurately predicted the volatiles, with an RMSEP range of 0.9 to 0.16 for the two volatiles targeted.

Keywords: Black mahlab seeds (Monechma ciliatum); Chemometrics; FT-NIR; Geographical origin; SPME/GC–MS; Volatile compounds.

MeSH terms

Acanthaceae*
Chemometrics*
Gas Chromatography-Mass Spectrometry
Seeds / chemistry
Spectroscopy, Near-Infrared / methods

Substances

methyl salicylate