녹두순의 FT-IR 스펙트럼 데이터로부터 다변량통계분석을 이용한 생육시기별 대사체 함량 식별
Metabolic Discrimination of Mungbean (Vigna radiata L.) Sprout Depending on Growth Time from Multivariate Analysis of FT-IR Spectroscopy Data
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
In this study, we established a system to analyze and accurately distinguishchanges in the metabolite content of mung bean sprouts at various growth stages. Specificregions of the FT-IR spectrum (1700–1500 cm-1, 1500–300 cm-1, and 1100–950 cm-1) reflectedqualitative and quantitative changes in key metabolites, such as amino acids, proteins,nucleic acids, lipids, and sugars. These regions play crucial roles in assessing metabolicchanges at different growth stages. The results of the PCA revealed that metaboliteclusters were distinctly separated according to growth stage, with notable differences observedbetween days 7, 10, 14, and 17. This indicated significant differences in metabolitechanges across growth stages. PLS-DA analysis also confirmed similar results, clearly distinguishingmetabolite changes according to growth stage, thus providing valuable informationfor identifying growth stages. This technique can be an important tool in the selectionand breeding of mung bean varieties and can contribute to the development offunctional materials. Furthermore, it is expected to contribute significantly to enhancingmung bean productivity and research on functional substances.
Abstract
In this study, we established a system to analyze and accurately distinguishchanges in the metabolite content of mung bean sprouts at various growth stages. Specificregions of the FT-IR spectrum (1700–1500 cm-1, 1500–300 cm-1, and 1100–950 cm-1) reflectedqualitative and quantitative changes in key metabolites, such as amino acids, proteins,nucleic acids, lipids, and sugars. These regions play crucial roles in assessing metabolicchanges at different growth stages. The results of the PCA revealed that metaboliteclusters were distinctly separated according to growth stage, with notable differences observedbetween days 7, 10, 14, and 17. This indicated significant differences in metabolitechanges across growth stages. PLS-DA analysis also confirmed similar results, clearly distinguishingmetabolite changes according to growth stage, thus providing valuable informationfor identifying growth stages. This technique can be an important tool in the selectionand breeding of mung bean varieties and can contribute to the development offunctional materials. Furthermore, it is expected to contribute significantly to enhancingmung bean productivity and research on functional substances.
참고문헌 (45)
- Ahn GW, "Clinical studies on the anti-irritation effects of Mung bean(Phaseolus aureus)extract in cosmetics", J Soc Cosmet Scientists Korea, 30, pp.23~28 (2004)
- Ahn MS, "Rapid discrimination system of Chinese cabbage(Brassica rapa)at metabolic level using Fourier transform infrared spectroscopy(FT-IR)based on multivariate analysis", J Plant Biotechnol, 43, pp.383~390 (2016)
- Chen L, "A rapid method to screen for cell-wall mutants using discriminant analysis of Fourier transform infrared spectra", Plant J, 16, pp.385~392 (1998)
- Di Gioia F, "Minimally processed refrigerated fruits and vegetables" (2017), Springer
- D'Souza L, "Use of fourier transform infrared(FTIR)spectroscopy to study cadmium-induced changes in Padina Tetrastromatica(Hauck)", Anal Chem Insights, 3, pp.135~143 (2008)
- Dumas P, "The use of synchrotron infrared microspectroscopy in biological and biomedical investigations", Vib Spectrosc, 32, pp.3~21 (2003)
- Fiehn O, "Metabolite profiling for plant functional genomics", Nat Biotechnol, 18, pp.1157~1161 (2000)
- Gallardo-Velázquez T, "Application of FTIR-HATR spectroscopy and multivariate analysis to the quantification of adulterants in Mexican honeys", Food Res Int, 42, pp.313~318 (2009)
- Goodacre R, "Rapid identification of urinary tract infection bacteria using hyperspectral whole-organism fingerprinting and artificial neural networks", Microbiology, 144, pp.1157~1170 (1998)
- Hong MY, "Inheritance and quantitative trait loci analysis of resistance genes to bruchid and bean bug in Mungbean(Vigna radiata L. Wilczek)", Plant Breed Biotech, 3, pp.39~46 (2015)
- Jang IB, "Growth and ginsenoside content in different parts of ginseng sprouts depending on harvest time", Korean J Med Crop Sci, 26, pp.205~213 (2018)
- Jiang L, "Two water-soluble polysaccharides from mung bean skin : Physicochemical characterization, antioxidant and antibacterial activities", Food Hydrocolloid, 100, pp.105412~ (2020)
- Kim BC, "Effects of irrigation conditions on development of Mungbean(Vigna radiata L. )sprouts", Plant Breed Biotech, 9, pp.310~317 (2021)
- Kim DK, "Mungbean cultivar ‘Areum’ with a lobed leaflet and short stem", Korean J Breed Sci, 51, pp.110~115 (2019)
- Kim DK, "New Mungbean cultivar, ‘Jinhwang’, with a short stem and yellow seed coat", Korean J Breed Sci, 51, pp.428~433 (2019)
- Kim DS, "Physiological characteristics and manufacturing of the processing products of sprout vegetables", Korean J Food Cook Sci, 26, pp.238~245 (2010)
- Kim HW, "Establishment of discrimination system using multivariate analysis of FT-IR spectroscopy data from different species of artichoke(Cynara cardunculus var. scolymus L. )", Korean J Hortic Sci Technol, 34, pp.328~334 (2016)
- Kim MY, "Effects of heat treatment on antioxidant activity of hydrolyzed Mung Beans", Korean J Food Sci Technol, 45, pp.34~39 (2013)
- Kim SW, "Taxonomic discrimination of higher plants by multivariate analysis of Fourier transform infrared spectroscopy data", Plant Cell Rep, 23, pp.246~250 (2004)
- Krishnan P, "Metabolite fingerprinting and profiling in plants using NMR", J Exp Bot, 56, pp.255~265 (2005)
- Lai F, "Antioxidant activities of water-soluble polysaccharide extracted from mung bean(Vigna radiata L. )hull with ultrasonic assisted treatment", Carbohy Polym, 81, pp.323~329 (2010)
- Lee KG, "Antioxidant properties of aroma compounds isolated from soybeans and mung beans", J Agric Food Chem, 48, pp.4290~4293 (2000)
- Lee MH, "Effect of barley sprout(Hordeum vulgare L. )water extracts on blood flow improvement in vitro", J Korea Soc Food Sci Nutr, 47, pp.77~82 (2018)
- Lopez-Sanchez M, "Olive fruit growth and ripening as seen by vibrational spectroscopy", J Agric Food Chem, 58, pp.82~87 (2010)
- Park JJ, "Comparison of the microbial and nutritional quality characteristics in radish sprouts by purchasing time", J Korea Food Sci Preserv, 22, pp.232~240 (2015)
- Parker FS, "Applications of infrared, Raman and resonance Raman spectroscopy in biochemistry" (1983), Plenum Press
- Schulz H, "Identification and quantification of valuable plant substances by IR and Raman spectroscopy", Vib Spectrosc, 43, pp.13~25 (2007)
- Seo HY, "Determination of Production Year Using Multivariate Statistical Analysis from FTIR Spectrum Data of Perilla Leaves", Korean J Breed Sci, 56, pp.11~18 (2024)
- Song JC, "Food material science", pp.248~249 (1994), Kyomoon Publishing Co
- Song SY, "Establishment of rapid discrimination system of leguminous plants at metabolic level using FT-IR spectroscopy with multivariate analysis", J Plant Biotechnol, 39, pp.121~126 (2012)
- Song SY, "Discrimination of African yams containing high functional compounds using FT-IR fingerprinting combined by multivariate analysis and quantitative prediction of functional compounds by PLS regression modeling", Korean J Hortic Sci Technol, 32, pp.105~114 (2014)
- Song SY, "Multivariate analysis of wild peach accessions for rootstock breeding using FT-IR spectroscopy of genomic DNA data", Korean J Breed Sci, 52, pp.25~31 (2020)
- Stewart D, "Fourier-transform infrared and Raman spectroscopic evidence for the incorporation of cinnamaldehydes into the lignin of transgenic tobacco(Nicotiana tabacum L. )plants with reduced expression of cinnamyl alcohol dehydrogenase", Planta, 201, pp.311~318 (1997)
- Timmins EM, "Rapid differentiation of closely related Candida species and strains by pyrolysis-mass spectrometry and Fourier transform-infrared spectroscopy", J Clin Microbiol, 36, pp.367~374 (1998)
- Trygg J, "Chemometrics in metabonomics", J Proteomes Res, 6, pp.467~479 (2007)
- Wenning M, "Fourier-transform infrared microspectroscopy, a novel and rapid tool for identification of yeasts", Appl Environ Microbiol, 68, pp.4717~4472 (2002)
- Wold H, "Multivariate analysis", pp.391~420 (1966), Academic Press
- Wolkers WF, "A fourier transform infrared spectroscopy study of sugar glasses", Carbohydr Res, 339, pp.1077~1085 (2004)
- Xu H, "Neuroprotective potential of mung bean(vigna radiata L. )polyphenols in alzheimer’s disease : A review", J Agric Food Chem, 69, pp.11554~11571 (2021)
- Yang JY, "Multivariate analysis of FT-IR spectroscopy data from different countries of Perilla seeds", Korean J Breed Sci, 54, pp.195~202 (2022)
- Yao Y, "Antidiabetic activity of Mung bean extracts in diabetic KK-Ay mice", J Agric Food Chem, 56, pp.8869~8873 (2008)
- Yao Y, "Antioxidant and antidiabetic activities of black mung bean(Vigna radiata L. )", J Agric Food Chem, 61, pp.8104~8109 (2013)
- Yee N, "Characterization of metal-Cyanobacteria sorption reactions : A combined Macroscopic and infrared spectroscopic investigation", Environ Sci Technol, 38, pp.775~782 (2004)
- Yu J, "Antioxidant activity and hepatoprotective effect of methanol extracts from vegetable sprouts commonly consumed in Korea", J Korea Soc Food Sci Nutr, 49, pp.781~787 (2020)
- Zhang X, "Chemical composition and antioxidative and anti-inflammatory properties of ten commercial mung bean samples", LWT-Food Sci Technol, 54, pp.171~178 (2013)