Analysis of Chemical Changes During Maturation of Based on GC-MS, FT-NIR, and FT-MIR

Overview

Journal ACS Omega

Publisher American Chemical Society

Specialty Chemistry

Date 2024 Jul 15

PMID 39005772

Authors

Gang He

Shao-Bing Yang

Yuan-Zhong Wang

Affiliations

Soon will be listed here.

Abstract

Crevost et Lemaire () is widely grown for its high nutritional and economic value. However, the lack of a scientific harvesting and quality control system has resulted in an uneven product quality. The present study was based on from four maturity stages from the same growing area, and its chemical trends and quality were evaluated using a combination of agronomic trait analysis, spectroscopy, chromatography, chemometrics, and network pharmacology. The results showed that was phenotypically dominant in October. Spectroscopy showed that the absorbance intensity at different maturity stages showed a trend of October > September > August > July. Further chemical differences between at different stages of maturity were found by chromatography to originate mainly from alcohol, aromatic, acids, esters, hydrocarbons, ketone, heterocyclic, and aldehydes. The network pharmacology results showed that the active ingredient for the treatment of obesity was present in and had high levels in in September and October. The results of this study provide a new idea for the comprehensive evaluation of and a theoretical basis for the harvesting and resource utilization of .

References

Fahey J, Kensler T . Phytochemicals: Do They Belong on our Plate for Sustaining Healthspan?. Food Front. 2023; 2(3):235-239. PMC: 9937450. DOI: 10.1002/fft2.81. View

Bhalani D, Nutan B, Kumar A, Chandel A . Bioavailability Enhancement Techniques for Poorly Aqueous Soluble Drugs and Therapeutics. Biomedicines. 2022; 10(9). PMC: 9495787. DOI: 10.3390/biomedicines10092055. View

Zhou W, Zhang H, Wang X, Kang J, Guo W, Zhou L . Network pharmacology to unveil the mechanism of Moluodan in the treatment of chronic atrophic gastritis. Phytomedicine. 2021; 95:153837. DOI: 10.1016/j.phymed.2021.153837. View

Yue J, Li Z, Zuo Z, Zhao Y, Zhang J, Wang Y . Study on the identification and evaluation of growth years for Paris polyphylla var. yunnanensis using deep learning combined with 2DCOS. Spectrochim Acta A Mol Biomol Spectrosc. 2021; 261:120033. DOI: 10.1016/j.saa.2021.120033. View

Amirvaresi A, Nikounezhad N, Amirahmadi M, Daraei B, Parastar H . Comparison of near-infrared (NIR) and mid-infrared (MIR) spectroscopy based on chemometrics for saffron authentication and adulteration detection. Food Chem. 2020; 344:128647. DOI: 10.1016/j.foodchem.2020.128647. View

Shim K, Hwang Y, Jang S, Kim T, Ha H . Ethanol Extract of Ameliorates Ovariectomy-Induced Trabecular Loss and Fat Accumulation. Molecules. 2021; 26(4). PMC: 7913548. DOI: 10.3390/molecules26040784. View

Qiu S, Cai Y, Yao H, Lin C, Xie Y, Tang S . Small molecule metabolites: discovery of biomarkers and therapeutic targets. Signal Transduct Target Ther. 2023; 8(1):132. PMC: 10026263. DOI: 10.1038/s41392-023-01399-3. View

Liu C, Zuo Z, Xu F, Wang Y . Authentication of Herbal Medicines Based on Modern Analytical Technology Combined with Chemometrics Approach: A Review. Crit Rev Anal Chem. 2022; 53(7):1393-1418. DOI: 10.1080/10408347.2021.2023460. View

Ringner M . What is principal component analysis?. Nat Biotechnol. 2008; 26(3):303-4. DOI: 10.1038/nbt0308-303. View

10.

de Lima A, Batista A, Santos M, Rocha R, Silva M, Ferrao S . Spectroscopy NIR and MIR toward predicting simultaneous phenolic contents and antioxidant in red propolis by multivariate analysis. Food Chem. 2021; 367:130744. DOI: 10.1016/j.foodchem.2021.130744. View

11.

Baddini A, Santos J, Tavares R, Paula L, Filho H, Freitas R . PLS-DA and data fusion of visible Reflectance, XRF and FTIR spectroscopy in the classification of mixed historical pigments. Spectrochim Acta A Mol Biomol Spectrosc. 2021; 265:120384. DOI: 10.1016/j.saa.2021.120384. View

12.

Ge Q, Chen L, Tang M, Zhang S, Liu L, Gao L . Analysis of mulberry leaf components in the treatment of diabetes using network pharmacology. Eur J Pharmacol. 2018; 833:50-62. DOI: 10.1016/j.ejphar.2018.05.021. View

13.

Liu Z, Yang S, Wang Y, Zhang J . Multi-platform integration based on NIR and UV-Vis spectroscopies for the geographical traceability of the fruits of Amomum tsao-ko. Spectrochim Acta A Mol Biomol Spectrosc. 2021; 258:119872. DOI: 10.1016/j.saa.2021.119872. View

14.

Liao S, Fan Z, Huang X, Ma Y, Huang F, Guo Y . Variations in the morphological and chemical composition of the rhizomes of species based on a common garden experiment. Food Chem X. 2023; 17:100585. PMC: 9941356. DOI: 10.1016/j.fochx.2023.100585. View

15.

Shi S, Luo Y, Ma Y, Chu Y, Wang Y, Chen X . Identification of components of Caoguo using accelerated solvent extraction combined with gas chromatography-mass spectrometry integrated with network pharmacology on indigestion. Ann Transl Med. 2021; 9(15):1247. PMC: 8421984. DOI: 10.21037/atm-21-3245. View

16.

Wen H, Yang T, Yang W, Yang M, Wang Y, Zhang J . Comparison of Metabolites and Species Classification of Thirteen Zingiberaceae Spices Based on GC-MS and Multi-Spectral Fusion Technology. Foods. 2023; 12(20). PMC: 10606731. DOI: 10.3390/foods12203714. View

17.

Li P, Long J, Bai G, Zhang J, Cha Y, Gao W . Metabolomics and Transcriptomics Reveal that Diarylheptanoids Vary in Fruit Development. J Agric Food Chem. 2023; 71(18):7020-7031. DOI: 10.1021/acs.jafc.3c00771. View

18.

Su D, He J, Zhou Y, Li Y, Zhou H . Aroma effects of key volatile compounds in Keemun black tea at different grades: HS-SPME-GC-MS, sensory evaluation, and chemometrics. Food Chem. 2021; 373(Pt B):131587. DOI: 10.1016/j.foodchem.2021.131587. View

19.

Wang X, Zhang X, Li J, Fu J, Zhao M, Zhang W . Network pharmacology and LC-MS approachs to explore the active compounds and mechanisms of Yuanjiang decoction for treating bradyarrhythmia. Comput Biol Med. 2022; 152:106435. DOI: 10.1016/j.compbiomed.2022.106435. View

20.

Li L, Li Z, Zhong Wang Y . A method of two-dimensional correlation spectroscopy combined with residual neural network for comparison and differentiation of medicinal plants raw materials superior to traditional machine learning: a case study on Eucommia ulmoides leaves. Plant Methods. 2022; 18(1):102. PMC: 9375363. DOI: 10.1186/s13007-022-00935-6. View