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Drapal M, Ovalle Rivera TM, Luna Meléndez JL, Perez-Fons L, Tran T, Dufour D, Becerra Lopez-Lavalle LA, Fraser PD. Biochemical characterisation of a cassava (Manihot esculenta crantz) diversity panel for post-harvest physiological deterioration; metabolite involvement and environmental influence. JOURNAL OF PLANT PHYSIOLOGY 2024; 301:154303. [PMID: 38959754 DOI: 10.1016/j.jplph.2024.154303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 06/19/2024] [Accepted: 06/25/2024] [Indexed: 07/05/2024]
Abstract
Cassava (Manihot esculenta Crantz) produces edible roots, a major carbohydrate source feeding more than 800 million people in Africa, Latin America, Oceania and Asia. Post-harvest physiological deterioration (PPD) renders harvested cassava roots unpalatable and unmarketable. Decades of research on PPD have elucidated several genetic, enzymatic and metabolic processes involved. Breeding populations were established to enable verification of robust biomarkers for PPD resistance. For comparison, these PPD populations have been cultivated concurrently with diversity population for carotenoid (β-carotene) content. Results highlighted a significant variation of the chemotypes due to environmental factors. Less than 3% of the detected molecular features showed consistent trends between the two harvest years and were putatively identified as phenylpropanoid derived compounds (e.g. caffeoyl rutinoside). The data corroborated that ∼20 μg β-carotene/g DW can reduced the PPD response of the cassava roots to a score of ∼1. Correlation analysis showed a significant correlation of β-carotene content at harvest to PPD response (R2 -0.55). However, the decrease of β-carotene over storage was not significantly correlated to initial content or PPD response. Volatile analysis observed changes of apocarotenoids derived from β-carotene, lipid oxidation products (alkanes, alcohols and carbonyls and esters) and terpenes. The majority of these volatiles (>90%) showed no significant correlation to β-carotene or PPD. Observed data indicated an increase (∼2-fold) of alkanes in varieties with β-carotene >10 μg/g DW and a decrease (∼60%) in varieties with less β-carotene. Fatty acid methyl esters with a chain length > C9 were detected solely after storage and show lower levels in varieties with higher β-carotene content. In combination with correlation values to PPD (R2 ∼0.3; P-value >0.05), the data indicated a more efficient ROS quenching mechanism in PPD resistant varieties.
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Affiliation(s)
- Margit Drapal
- School of Biological Sciences, Royal Holloway, University of London, Egham Hill, Egham, Surrey, TW20 0EX, UK
| | | | | | - Laura Perez-Fons
- School of Biological Sciences, Royal Holloway, University of London, Egham Hill, Egham, Surrey, TW20 0EX, UK
| | - Thierry Tran
- International Center for Tropical Agriculture (CIAT), Cali, Colombia
| | - Dominique Dufour
- International Center for Tropical Agriculture (CIAT), Cali, Colombia; CIRAD, UMR QualiSud, F-34398, Montpellier, France; Qualisud, Univ Montpellier, Avignon Université, CIRAD, Institut Agro, IRD, Université de La Réunion, Montpellier, France
| | | | - Paul D Fraser
- School of Biological Sciences, Royal Holloway, University of London, Egham Hill, Egham, Surrey, TW20 0EX, UK.
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Shamshiri N, Fattahi R, Mani-Varnosfaderani A, Barzegar M, Sahari MA. Geographical authentication of saffron by chemometrics applied to the ion mobility spectrometry data. Food Chem X 2024; 22:101455. [PMID: 38798798 PMCID: PMC11126811 DOI: 10.1016/j.fochx.2024.101455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 05/04/2024] [Accepted: 05/06/2024] [Indexed: 05/29/2024] Open
Abstract
There is a lack of a reliable tool for quickly determining the geographical origins of saffron (SFR). Ion mobility spectrometry (IMS) has emerged as a promising method for rapid authentication. In this study, 232 Iranian SFR samples harvested in five distinct areas (Khorasan, Azerbaijan, Golestan, Fars, and Isfahan) were analyzed by IMS coupled with chemometric methods. The principal component analysis (PCA) was applied for analyzing the collected IMS data, utilizing three principle components (PCs) that accounted for 81 % of the explained variance. Moreover, the partial least squares-discriminant analysis (PLS-DA) demonstrated the average sensitivity and specificity rates, of 72.3 % to 92.5 % for the exernal test set and 75.5 % to 94.3 % for training set. The accuracy values were ≥ 85.0 % for the prediction set for all classes of samples. The results of this study revealed a successful application of IMS and chemometric methods for rapid geographical authentication of saffron samples in Iran.
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Affiliation(s)
- Nayereh Shamshiri
- Department of Food Science and Technology, Faculty of Agriculture, Tarbiat Modares University, P. O. Box 14115-336, Tehran, Iran
| | - Reza Fattahi
- Department of Food Science and Technology, Faculty of Agriculture, Tarbiat Modares University, P. O. Box 14115-336, Tehran, Iran
| | - Ahmad Mani-Varnosfaderani
- Department of Chemistry, Faculty of Basic Sciences, Tarbiat Modares University, P. O. Box 14115-175, Tehran, Iran
| | - Mohsen Barzegar
- Department of Food Science and Technology, Faculty of Agriculture, Tarbiat Modares University, P. O. Box 14115-336, Tehran, Iran
| | - Mohammad Ali Sahari
- Department of Food Science and Technology, Faculty of Agriculture, Tarbiat Modares University, P. O. Box 14115-336, Tehran, Iran
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Li C, Tan Y, Liu C, Guo W. Rice Origin Tracing Technology Based on Fluorescence Spectroscopy and Stoichiometry. SENSORS (BASEL, SWITZERLAND) 2024; 24:2994. [PMID: 38793849 PMCID: PMC11125321 DOI: 10.3390/s24102994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 04/30/2024] [Accepted: 05/08/2024] [Indexed: 05/26/2024]
Abstract
The origin of agricultural products is crucial to their quality and safety. This study explored the differences in chemical composition and structure of rice from different origins using fluorescence detection technology. These differences are mainly affected by climate, environment, geology and other factors. By identifying the fluorescence characteristic absorption peaks of the same rice seed varieties from different origins, and comparing them with known or standard samples, this study aims to authenticate rice, protect brands, and achieve traceability. The study selected the same variety of rice seed planted in different regions of Jilin Province in the same year as samples. Fluorescence spectroscopy was used to collect spectral data, which was preprocessed by normalization, smoothing, and wavelet transformation to remove noise, scattering, and burrs. The processed spectral data was used as input for the long short-term memory (LSTM) model. The study focused on the processing and analysis of rice spectra based on NZ-WT-processed data. To simplify the model, uninformative variable elimination (UVE) and successive projections algorithm (SPA) were used to screen the best wavelengths. These wavelengths were used as input for the support vector machine (SVM) prediction model to achieve efficient and accurate predictions. Within the fluorescence spectral range of 475-525 nm and 665-690 nm, absorption peaks of nicotinamide adenine dinucleotide (NADPH), riboflavin (B2), starch, and protein were observed. The origin tracing prediction model established using SVM exhibited stable performance with a classification accuracy of up to 99.5%.The experiment demonstrated that fluorescence spectroscopy technology has high discrimination accuracy in tracing the origin of rice, providing a new method for rapid identification of rice origin.
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Affiliation(s)
- Changming Li
- School of Physics, Changchun University of Science and Technology, Changchun 130022, China; (C.L.); (C.L.); (W.G.)
- Engineering Technology R&D Center Changchun Guanghua University, Changchun 130033, China
| | - Yong Tan
- School of Physics, Changchun University of Science and Technology, Changchun 130022, China; (C.L.); (C.L.); (W.G.)
| | - Chunyu Liu
- School of Physics, Changchun University of Science and Technology, Changchun 130022, China; (C.L.); (C.L.); (W.G.)
| | - Wenjing Guo
- School of Physics, Changchun University of Science and Technology, Changchun 130022, China; (C.L.); (C.L.); (W.G.)
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El-Hawary SS, Hassan MHA, Hudhud AO, Al-Karmalawy AA, Mustafa M, Hamed EAE, Abdelmohsen UR, Mohammed R. LC-HRMS Profiling and Cytotoxic Potential of Actinomycetes Associated with the Red Sea Soft Coral Sarcophyton glaucum: In vitro and In silico Studies. Chem Biodivers 2024; 21:e202301617. [PMID: 38193652 DOI: 10.1002/cbdv.202301617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 12/31/2023] [Accepted: 01/05/2024] [Indexed: 01/10/2024]
Abstract
In the current study, the actinomycetes associated with the red sea-derived soft coral Sarcophyton glaucum were investigated in terms of biological and chemical diversity. Four different media, M1, ISP2, Marine Agar (MA), and Actinomycete isolation agar (AIA) were used for the isolation of three strains of actinomycetes that were identified as Streptomyces sp. UR 25, Micromonospora sp. UR32 and Saccharomonospora sp. UR 19. LC-HRMS analysis was used to investigate the chemical diversity of the isolated actinobacteria. The LC-HRMS data were statistically processed using MetaboAnalyst 5.0 viz to differentiate the extract groups and determine the optimal growth culturing conditions. Multivariate data statistical analysis revealed that the Micromonospora sp. extract cultured on (MA) medium is the most distinctive extract in terms of chemical composition. While, the Streptomyces sp. UR 25 extracts are differ significantly from Micromonospora sp. UR32 and Saccharomonospora sp. UR 19. Biological investigation using in vitro cytotoxic assay for actinobacteria extracts revealed the prominent potentiality of the Streptomyces sp. UR 25 cultured on oligotrophic medium against human hepatoma (HepG2), human breast adenocarcinoma (MCF-7) and human colon adenocarcinoma (CACO2) cell lines (IC50 =3.3, 4.2 and 6.8 μg/mL, respectively). SwissTarget Prediction speculated that among the identified compounds, 16-deethyl, indanomycin (8) could have reasonable affinity on HDM2 active site. In this respect, molecular docking study was performed for compound (8) to reveal a substantial affinity on HDM2 active site. In addition, molecular dynamics simulations were carried out at 200 ns for the most active compound (8) compared to the co-crystallized inhibitor DIZ giving deeper information regarding their thermodynamic and dynamic properties as well.
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Affiliation(s)
- Seham S El-Hawary
- Department of Pharmacognosy, Faculty of Pharmacy, Cairo University, Cairo, 11511, Egypt
| | - Marwa H A Hassan
- Department of Pharmacognosy, Faculty of Pharmacy, Beni-Suef University, Beni-Suef, 62511, Egypt
| | - Ahmed O Hudhud
- Department of Pharmacognosy, Faculty of Pharmacy, Merit University, Sohag, 82511, Egypt
| | - Ahmed A Al-Karmalawy
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Horus University-Egypt, New Damietta, 34518, Egypt
- Pharmaceutical Chemistry Department, Faculty of Pharmacy, Ahram Canadian University, 6th of October City, Giza, 12566, Egypt
| | - Muhamad Mustafa
- IBMM, CNRS, ENSCM, Université de Montpellier, Montpellier, 34095, France
- Department of Medicinal Chemistry, Faculty of Pharmacy, Deraya University, Minia, 61111, Egypt
| | - Elsayed A E Hamed
- National institute of oceanography and Fisheries, Hurghada-Red Sea (NIOF), 84511, Egypt
| | - Usama Ramadan Abdelmohsen
- Department of Pharmacognosy, Faculty of Pharmacy, Minia University, Minia, 61519, Egypt
- Department of Pharmacognosy, Faculty of Pharmacy, Deraya University, New Minia, 61111, Egypt
| | - Rabab Mohammed
- Department of Pharmacognosy, Faculty of Pharmacy, Beni-Suef University, Beni-Suef, 62511, Egypt
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Wang C, Chen Y, Chen S, Min Y, Tang Y, Ma X, Li H, Li J, Liu Z. Spraying chitosan on cassava roots reduces postharvest deterioration by promoting wound healing and inducing disease resistance. Carbohydr Polym 2023; 318:121133. [PMID: 37479443 DOI: 10.1016/j.carbpol.2023.121133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/28/2023] [Accepted: 06/16/2023] [Indexed: 07/23/2023]
Abstract
Postharvest damage makes cassava roots vulnerable to pathogen infections and decay, which significantly hinders the development of the cassava industry. The objective of this study was to assess the antibacterial properties of chitosan in vitro, as well as its effect on wound healing and resistance in cassava roots. The findings demonstrated that the bacteriostatic effect of chitosan became increasingly prominent as the concentration of chitosan enhanced. Chitosan at a concentration of 0.5 mg/mL was revealed to significantly inhibit the germination of P. palmivora spores and damage to their structure. Moreover, chitosan activated the transcription of crucial genes and enzyme activities associated with the phenylpropane metabolism pathway in cassava roots, thus promoting rapid lignin accumulation and resulting in the early formation of a fracture layer. Chitosan was also found to enhance cassava root resistance by promoting the expression of pathogenesis-related proteins and the accumulation of flavonoids and total phenols. After 48 h of inoculation, cassava roots treated with chitosan exhibited a 51.4 % and 53.4 % decrease in lesion area for SC9 and SC6 varieties, respectively. The findings of this study offer a novel approach for managing postharvest deterioration of cassava roots.
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Affiliation(s)
- Congcong Wang
- School of Life Sciences, Hainan University, Haikou 570228, China
| | - Yinhua Chen
- Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresource, College of Tropical Crops, Hainan University, Haikou 570228, Hainan, China
| | - Songbi Chen
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Key Laboratory of Ministry of Agriculture for Germplasm Resources Conservation and Utilization of Cassava, Hainan, China
| | - Yi Min
- School of Life Sciences, Hainan University, Haikou 570228, China
| | - Yanqiong Tang
- School of Life Sciences, Hainan University, Haikou 570228, China
| | - Xiang Ma
- School of Life Sciences, Hainan University, Haikou 570228, China
| | - Hong Li
- School of Life Sciences, Hainan University, Haikou 570228, China
| | - Juanjuan Li
- School of Life Sciences, Hainan University, Haikou 570228, China
| | - Zhu Liu
- School of Life Sciences, Hainan University, Haikou 570228, China.
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Posom J, Duangpila C, Saengprachatanarug K, Wongpichet S, Onmankhong J. Application of thermal imaging combined with machine learning for detecting the deterioration of the cassava root. Heliyon 2023; 9:e20559. [PMID: 37842593 PMCID: PMC10570577 DOI: 10.1016/j.heliyon.2023.e20559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 09/05/2023] [Accepted: 09/29/2023] [Indexed: 10/17/2023] Open
Abstract
Freshness is an important parameter that is indexed in the quality assessment of commercial cassava tubers. Cassava tubers that are not fresh have reduced starch content. Therefore, in this study, we aimed to develop a new approach to detect cassava root deterioration levels using thermal imaging with machine learning (ML). An underlying assumption was that nonfresh cassava roots may have fermentation inside that causes a difference in the inner temperature of the tuber. This creates the opportunity for the deterioration level to be measured using thermal imaging. The features (pixel intensity and temperature) that were extracted from the region of interest (ROI) in the form of tuber thermal images were analyzed with ML. Linear discriminant analysis (LDA), k-nearest neighbor (kNN), support vector machine (SVM), decision tree, and ensemble classifiers were applied to establish the optimal classification modeling algorithms. The highest accuracy model was developed from thermal images of cassava roots captured in a darkroom under a control temperature of 25 °C in the measurement chamber. The LDA, SVM, and ensemble classifiers gave the best overall performance for the discrimination of cassava root deterioration levels, with an accuracy of 86.7%. Interestingly, under uncontrolled environmental conditions, the combination of thermal imaging plus ML gave results that were of lower accuracy but still acceptable. Thus, our work revealed that thermal imaging coupled with ML was a promising method for the nondestructive evaluation of cassava root deterioration levels.
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Affiliation(s)
- Jetsada Posom
- Department of Agricultural Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen,40002, Thailand
| | - Chutatip Duangpila
- Department of Agricultural Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen,40002, Thailand
| | - Khwantri Saengprachatanarug
- Department of Agricultural Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen,40002, Thailand
| | - Seree Wongpichet
- Department of Agricultural Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen,40002, Thailand
| | - Jiraporn Onmankhong
- Department of Agricultural Engineering, School of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok, 10520, Thailand
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Wang WW, Liu ZW, Sun YZ, Liu LF. Comparison of Semen Aesculi species from different geographical origins and horse chestnut based on metabolomics and chemometrics analysis. PHYTOCHEMICAL ANALYSIS : PCA 2023; 34:830-841. [PMID: 36843182 DOI: 10.1002/pca.3212] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 11/20/2022] [Accepted: 01/27/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Semen Aesculi, a traditional Chinese herbal medicine, has a long history of use for treating chest and abdominal pain with distension. In addition, the horse chestnut (Aesculus hippocastanum L.) is another species of Aesculus in Europe and has notable clinical significance in alleviating chronic venous insufficiency, hemorrhoids, and postoperative edema. Thus, highlighting the comparative study of Semen Aesculi and horse chestnut may broaden clinical applications. OBJECTIVES To conduct a comprehensive comparative analysis on the chemical profiling of these two varieties and determine whether they have equivalent clinical efficacy by integrating plant metabolomics and multivariate statistical methods. METHODS Initially, a comprehensive characterisation was performed using ultra-performance liquid chromatography quadrupole time-of-flight tandem mass spectrometry (UPLC-QTOF-MS/MS) platform, and in total 44 active ingredients were identified. Then, untargeted metabolomics combined with principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) was applied for the discrimination of a German species and three official Chinese species. Next, 24 marker compounds responsible for the discrimination of different species were screened out and used to predict the species of unknown samples by genetic algorithm-optimised support vector machine (GA-SVM) with a high prediction accuracy. Finally, a heatmap visualisation was employed for clarifying the distribution of the identified active ingredients. RESULTS The three species of Chinese Semen Aesculi showed distinct separation from each other, while European horse chestnut and Aesculus chinensis Bunge were similar in chemical composition. CONCLUSIONS This work provided experimental evidence for further expanding the clinical application of Chinese Semen Aesculi and promoted the species identification and quality control of Semen Aesculi.
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Affiliation(s)
- Wei-Wei Wang
- State Key Laboratory of Natural Medicines, Department of Chinese Medicines Analysis, China Pharmaceutical University, Nanjing, China
| | - Zi-Wei Liu
- State Key Laboratory of Natural Medicines, Department of Chinese Medicines Analysis, China Pharmaceutical University, Nanjing, China
| | - Ya-Zhe Sun
- State Key Laboratory of Natural Medicines, Department of Chinese Medicines Analysis, China Pharmaceutical University, Nanjing, China
| | - Li-Fang Liu
- State Key Laboratory of Natural Medicines, Department of Chinese Medicines Analysis, China Pharmaceutical University, Nanjing, China
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Chen M, Dong J, Zhao X, Yin X, Wu K, Wang Q, Liu X, Wu Y, Gong Z. Cadmium influence on lipid metabolism in Sprague-Dawley rats through linoleic acid and glycerophospholipid metabolism pathways. J Biochem Mol Toxicol 2023; 37:e23412. [PMID: 37341456 DOI: 10.1002/jbt.23412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 03/03/2023] [Accepted: 06/08/2023] [Indexed: 06/22/2023]
Abstract
Cadmium (Cd) is widely distributed in the environment and easy adsorbed by living organisms with adverse effects. Exposure to Cd-contaminated food may disrupt lipid metabolism and increase human health risk. To study the perturbation effect of Cd on lipid metabolism in vivo, 24 male Sprague-Dawley (SD) rats were randomly assigned four groups and treated by Cd chloride solution (0, 1.375 mg/kg, 5.5 mg/kg, 22 mg/kg) for 14 days. The characteristic indexes of serum lipid metabolism were analyzed. Afterwards, untargeted metabolomics analysis was applied to explore the adverse effects of Cd on rats by liquid chromatography coupled with mass spectrometry (LC-MS). The results revealed that Cd exposure obviously decreased the average serum of triglycerides (TG) and low-density lipoprotein cholesterol (LDL-C) and caused an imbalance of endogenous compounds in the 22 mg/kg Cd-exposed group. Compared with the control group, 30 metabolites with significant differences were identified in the serum. Our results indicated that Cd caused lipid metabolic disorders in rats by disrupting linoleic acid and glycerophospholipid metabolism pathways. Furthermore, there were three kinds of remarkable differential metabolites-9Z,12Z-octadecadienoic acid, PC(20:4(8Z,11Z,14Z,17Z)/0:0), and PC(15:0/18:2(9Z,12Z)), which enriched the two significant metabolism pathways and could be the potential biomarkers.
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Affiliation(s)
- Mengyuan Chen
- Key Laboratory for Deep Processing of Major Grain and Oil (The Chinese Ministry of Education), Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Food Safety Research Center, Key Research Institute of Humanities and Social Sciences of Hubei Province, College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, Hubei, China
| | - Jingjing Dong
- Key Laboratory for Deep Processing of Major Grain and Oil (The Chinese Ministry of Education), Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Food Safety Research Center, Key Research Institute of Humanities and Social Sciences of Hubei Province, College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, Hubei, China
| | - Xiaole Zhao
- Key Laboratory for Deep Processing of Major Grain and Oil (The Chinese Ministry of Education), Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Food Safety Research Center, Key Research Institute of Humanities and Social Sciences of Hubei Province, College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, Hubei, China
| | - Xiaoyao Yin
- Key Laboratory for Deep Processing of Major Grain and Oil (The Chinese Ministry of Education), Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Food Safety Research Center, Key Research Institute of Humanities and Social Sciences of Hubei Province, College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, Hubei, China
| | - Kejia Wu
- Key Laboratory for Deep Processing of Major Grain and Oil (The Chinese Ministry of Education), Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Food Safety Research Center, Key Research Institute of Humanities and Social Sciences of Hubei Province, College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, Hubei, China
| | - Qiao Wang
- Key Laboratory for Deep Processing of Major Grain and Oil (The Chinese Ministry of Education), Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Food Safety Research Center, Key Research Institute of Humanities and Social Sciences of Hubei Province, College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, Hubei, China
| | - Xin Liu
- Key Laboratory for Deep Processing of Major Grain and Oil (The Chinese Ministry of Education), Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Food Safety Research Center, Key Research Institute of Humanities and Social Sciences of Hubei Province, College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, Hubei, China
| | - Yongning Wu
- Key Laboratory for Deep Processing of Major Grain and Oil (The Chinese Ministry of Education), Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Food Safety Research Center, Key Research Institute of Humanities and Social Sciences of Hubei Province, College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, Hubei, China
- NHC Key Laboratory of Food Safety Risk Assessment, Food Safety Research Unit (2019RU014) of Chinese Academy of Medical Science, China National Center for Food Safety Risk Assessment, Beijing, China
| | - Zhiyong Gong
- Key Laboratory for Deep Processing of Major Grain and Oil (The Chinese Ministry of Education), Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Food Safety Research Center, Key Research Institute of Humanities and Social Sciences of Hubei Province, College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, Hubei, China
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9
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Kharbach M, Alaoui Mansouri M, Taabouz M, Yu H. Current Application of Advancing Spectroscopy Techniques in Food Analysis: Data Handling with Chemometric Approaches. Foods 2023; 12:2753. [PMID: 37509845 PMCID: PMC10379817 DOI: 10.3390/foods12142753] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 06/30/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023] Open
Abstract
In today's era of increased food consumption, consumers have become more demanding in terms of safety and the quality of products they consume. As a result, food authorities are closely monitoring the food industry to ensure that products meet the required standards of quality. The analysis of food properties encompasses various aspects, including chemical and physical descriptions, sensory assessments, authenticity, traceability, processing, crop production, storage conditions, and microbial and contaminant levels. Traditionally, the analysis of food properties has relied on conventional analytical techniques. However, these methods often involve destructive processes, which are laborious, time-consuming, expensive, and environmentally harmful. In contrast, advanced spectroscopic techniques offer a promising alternative. Spectroscopic methods such as hyperspectral and multispectral imaging, NMR, Raman, IR, UV, visible, fluorescence, and X-ray-based methods provide rapid, non-destructive, cost-effective, and environmentally friendly means of food analysis. Nevertheless, interpreting spectroscopy data, whether in the form of signals (fingerprints) or images, can be complex without the assistance of statistical and innovative chemometric approaches. These approaches involve various steps such as pre-processing, exploratory analysis, variable selection, regression, classification, and data integration. They are essential for extracting relevant information and effectively handling the complexity of spectroscopic data. This review aims to address, discuss, and examine recent studies on advanced spectroscopic techniques and chemometric tools in the context of food product applications and analysis trends. Furthermore, it focuses on the practical aspects of spectral data handling, model construction, data interpretation, and the general utilization of statistical and chemometric methods for both qualitative and quantitative analysis. By exploring the advancements in spectroscopic techniques and their integration with chemometric tools, this review provides valuable insights into the potential applications and future directions of these analytical approaches in the food industry. It emphasizes the importance of efficient data handling, model development, and practical implementation of statistical and chemometric methods in the field of food analysis.
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Affiliation(s)
- Mourad Kharbach
- Department of Food and Nutrition, University of Helsinki, 00014 Helsinki, Finland
- Department of Computer Sciences, University of Helsinki, 00560 Helsinki, Finland
| | - Mohammed Alaoui Mansouri
- Nano and Molecular Systems Research Unit, University of Oulu, 90014 Oulu, Finland
- Research Unit of Mathematical Sciences, University of Oulu, 90014 Oulu, Finland
| | - Mohammed Taabouz
- Biopharmaceutical and Toxicological Analysis Research Team, Laboratory of Pharmacology and Toxicology, Faculty of Medicine and Pharmacy, University Mohammed V in Rabat, Rabat BP 6203, Morocco
| | - Huiwen Yu
- Shenzhen Hospital, Southern Medical University, Shenzhen 518005, China
- Chemometrics group, Faculty of Science, University of Copenhagen, Rolighedsvej 26, 1958 Frederiksberg, Denmark
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Chaowongdee S, Malichan S, Pongpamorn P, Paemanee A, Siriwan W. Metabolic profiles of Sri Lankan cassava mosaic virus-infected and healthy cassava (Manihot esculenta Crantz) cultivars with tolerance and susceptibility phenotypes. BMC PLANT BIOLOGY 2023; 23:178. [PMID: 37020181 PMCID: PMC10074701 DOI: 10.1186/s12870-023-04181-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 03/20/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND Cassava mosaic disease (CMD) of cassava (Manihot esculenta Crantz) has expanded across many continents. Sri Lankan cassava mosaic virus (SLCMV; family Geminiviridae), which is the predominant cause of CMD in Thailand, has caused agricultural and economic damage in many Southeast Asia countries such as Vietnam, Loas, and Cambodia. The recent SLCMV epidemic in Thailand was commonly found in cassava plantations. Current understanding of plant-virus interactions for SLCMV and cassava is limited. Accordingly, this study explored the metabolic profiles of SLCMV-infected and healthy groups of tolerant (TME3 and KU50) and susceptible (R11) cultivars of cassava. Findings from the study may help to improve cassava breeding, particularly when combined with future transcriptomic and proteomic research. RESULTS SLCMV-infected and healthy leaves were subjected to metabolite extraction followed by ultra-high-performance liquid chromatography high-resolution mass spectrometry (UHPLC-HRMS/MS). The resulting data were analyzed using Compound Discoverer software, the mzCloud, mzVault, and ChemSpider databases, and published literature. Of the 85 differential compounds (SLCMV-infected vs healthy groups), 54 were differential compounds in all three cultivars. These compounds were analyzed using principal component analysis (PCA), hierarchical clustering dendrogram analysis, heatmap analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway annotation. Chlorogenic acid, DL-carnitine, neochlorogenic acid, (E)-aconitic acid, and ascorbyl glucoside were differentially expressed only in TME3 and KU50, with chlorogenic acid, (E)-aconitic acid, and neochlorogenic acid being downregulated in both SLCMV-infected TME3 and KU50, DL-carnitine being upregulated in both SLCMV-infected TME3 and KU50, and ascorbyl glucoside being downregulated in SLCMV-infected TME3 but upregulated in SLCMV-infected KU50. Furthermore, 7-hydroxycoumarine was differentially expressed only in TME3 and R11, while quercitrin, guanine, N-acetylornithine, uridine, vorinostat, sucrose, and lotaustralin were differentially expressed only in KU50 and R11. CONCLUSIONS Metabolic profiling of three cassava landrace cultivars (TME3, KU50, and R11) was performed after SLCMV infection and the profiles were compared with those of healthy samples. Certain differential compounds (SLCMV-infected vs healthy groups) in different cultivars of cassava may be involved in plant-virus interactions and could underlie the tolerance and susceptible responses in this important crop.
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Affiliation(s)
- Somruthai Chaowongdee
- Center for Agricultural Biotechnology, Kasetsart University, Kamphaeng Saen Campus, Nakhon Pathom, 73140, Thailand
- Center of Excellence on Agricultural Biotechnology (AG-BIO/MHESI), Bangkok, 10900, Thailand
| | - Srihunsa Malichan
- Department of Plant Pathology, Faculty of Agriculture, Kasetsart University, Bangkok, 10900, Thailand
| | - Pornkanok Pongpamorn
- National Omics Center (NOC), National Science and Technology Development Agency (NSTDA), Pathum Thani, 12120, Thailand
| | - Atchara Paemanee
- National Omics Center (NOC), National Science and Technology Development Agency (NSTDA), Pathum Thani, 12120, Thailand
| | - Wanwisa Siriwan
- Department of Plant Pathology, Faculty of Agriculture, Kasetsart University, Bangkok, 10900, Thailand.
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Zhang G, Liu M, Ma Z, Wang M, Sun L, Liu Y, Ren X. Analysis of Bitter Almonds and Processed Products Based on HPLC-Fingerprints and Chemometry. Chem Biodivers 2023; 20:e202200989. [PMID: 36747377 DOI: 10.1002/cbdv.202200989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 01/22/2023] [Accepted: 02/06/2023] [Indexed: 02/08/2023]
Abstract
In the processing field, there is a saying that "seed drugs be stir-fried". Bitter almond (BA) is a kind of seed Chinese medicine. BA need be used after being fried. To distinguish raw bitter almonds (RBA) from processed products and prove the rationality of "seed drugs be stir-fried", we analyzed the RBA and five processed products (scalded bitter almonds, fried bitter almonds, honey fried bitter almonds, bran fried bitter almonds, bitter almonds cream) using RP-HPLC fingerprints and chemometric methods. The similarity between RBA and processed products was 0.733∼0.995. Hierarchically clustered heatmap was used to evaluate the changes in components. Principal component analysis (PCA) was used for classification, and all samples are distinguished according to RBA and five processing methods. Six chemical markers were obtained by partial least squares discriminant analysis (PLS-DA). The content and degradation rate of amygdalin and β-glucosidase activity were determined. Compared with RBA, the content and degradation rate of amygdalin, and β-glucosidase activity were increased in bitter almonds cream. The content and degradation rate were decreased, and β-glucosidase was inactivated in other processed products. The above results showed that stir-frying had the best effect. The results showed that processing can ensure the stability of RBA quality, and the saying "seed drugs be stir-fried" is reasonable.
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Affiliation(s)
- Guoqin Zhang
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Meiqi Liu
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Zicheng Ma
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Meng Wang
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Lili Sun
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Yanan Liu
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Xiaoliang Ren
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
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12
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Sha M, Li X, Liu Y, Tian H, Liang X, Li X, Gao W. Comparative chemical characters of Pseudostellaria heterophylla from geographical origins of China. CHINESE HERBAL MEDICINES 2023. [PMID: 37538864 PMCID: PMC10394325 DOI: 10.1016/j.chmed.2022.10.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023] Open
Abstract
Objective Pseudostellaria heterophylla has been paid more attention in recent years, mainly as a medicine food homology plant. The content determination of P. heterophylla is not specified in the Chinese Pharmacopoeia (version 2020). The environmental conditions in different production areas could exert an influence on the quality of P. heterophylla. The purpose of this study is to discriminate P. heterophylla collected from different geographical origins of China. Methods In this study, the content of polysaccharide in 28 batches of P. heterophylla was determined using phenol-sulfuric acid. HPLC fingerprints were established under optimised HPLC-PDA methods. Subsequently, the similarity analysis (SA) and the quantification of heterophyllin B were analyzed. The metabolites of P. heterophylla were identified and evaluated using UHPLC-Q Exactive HF orbitrap MS system. Principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), hierarchical cluster analysis (HCA) and orthogonal PLS-DA (OPLS-DA) were performed based on all peak areas. Results The polysaccharide content in Guizhou and Jiangsu was higher than that of other production areas, which varied significant from different origins. While the content of heterophyllin B in Anhui and Jiangsu was high. The correlation coefficients of HPLC fingerprints for 28 batches samples ranged from 0.877 to 0.990, and the characteristic map can be used to identify and evaluate the quality of P. heterophylla. The samples from Fujian, Guizhou, Jiangsu provinces can be relatively separated using multivariate statistical analysis including PCA, PLS-DA, HCA, OPLS-DA, indicating that their metabolic compositions were significantly different. Ultimately, a total of 15 metabolites which were filtrated by a VIP-value > 1 and a P-value < 0.05 associated with the separation of different origins were identified. Conclusion HPLC fingerprint was established to evaluate the quality and authenticity of P. heterophylla. The present work showed that the difference of geographic distributions had an influence on the internal chemical compositions. A sensitive and rapid untargeted metabolomics approach by UHPLC-Q Exactive HF orbitrap MS was utilized to evaluate P. heterophylla from different origins in China for the first time. Overall, this study provides insights to metabolomics of P. heterophylla and supplies important reference values for the development of functional foods.
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Wahengbam ED, Devi CP, Sharma SK, Roy SS, Maibam A, Dasgupta M, Luikham S, Chongtham T, Ningombam A, Bhupenchandra I, Singh LK, Devi YP, Thokchom S, Khaba CI, Singh NB, Rajashekar Y, Das S, Mohanty S, Sahoo MR. Reactive oxygen species turnover, phenolics metabolism, and some key gene expressions modulate postharvest physiological deterioration in cassava tubers. Front Microbiol 2023; 14:1148464. [PMID: 36925477 PMCID: PMC10011484 DOI: 10.3389/fmicb.2023.1148464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 02/13/2023] [Indexed: 03/08/2023] Open
Abstract
Rapid postharvest physiological deterioration (PPD) in cassava (Manihot esculenta Crantz) tuber is a significant concern during storage. The freshly harvested tubers start spoiling within 24 to 72 h. Accumulation of H2O2 is one of the earliest biochemical events that occurred during PPD, which was detected using the 3,3 diaminobenzidine (DAB) in two contrast cassava genotypes, MNP Local A (29-57 μg g-1) and Sree Prakash (64-141 μg g-1). Accumulating the fluorescence hydroxycoumarin compounds emitted by the cassava tubers observed under an ultraviolet (UV) lamp showed significant variations at 0, 3, 6, 9, 12, and 15 days of storage. The total phenolics and carotenoids significantly and negatively correlated with PPD progression; however, the anthocyanin and flavonoids positively correlated with the PPD-anchored ROS accumulation. The primary compound, Phthalic acid, di(2-propylpentyl) ester, was identified in both the cassava tubers, Sree Prakash (57.21 and 35.21%), and MNP Local A (75.58 and 60.21%) at 0, and 72 h of PPD, respectively. The expression of PPD-associated genes APX-2, APX-3, PAL, and AP was higher at 6-12 days of PPD, which signified the synthesis of ROS turnover and phenylpropanoid biosynthesis. A significant, strong, and positive correlation was established between the secondary metabolites and PPD signaling gene expression, which was inversely correlated with hydroxycoumarin and H2O2 accumulation. MNP Local A tubers exhibited longer storage life of 15 days with a low PPD score, higher metabolites synthesis, and gene expression. The PPD-resistant lines may be used to augment cassava breeding strategies for large-scale commercial and industrial use.
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Affiliation(s)
| | | | | | - Subhra Saikat Roy
- ICAR Research Complex for North Eastern Hill Region, Imphal, Manipur, India
| | - Albert Maibam
- ICAR Research Complex for North Eastern Hill Region, Imphal, Manipur, India
| | - Madhumita Dasgupta
- ICAR Research Complex for North Eastern Hill Region, Imphal, Manipur, India
| | - Star Luikham
- ICAR Research Complex for North Eastern Hill Region, Imphal, Manipur, India
| | - Tania Chongtham
- ICAR Research Complex for North Eastern Hill Region, Imphal, Manipur, India
| | - Arati Ningombam
- ICAR Research Complex for North Eastern Hill Region, Imphal, Manipur, India
| | - Ingudam Bhupenchandra
- Farm Science Centre, ICAR Research Complex for North Eastern Hill Region, Imphal, Manipur, India
| | - Laishram Kanta Singh
- Farm Science Centre, ICAR Research Complex for North Eastern Hill Region, Imphal, Manipur, India
| | - Yumnam Prabhabati Devi
- Farm Science Centre, ICAR Research Complex for North Eastern Hill Region, Imphal, Manipur, India
| | | | | | | | - Yallappa Rajashekar
- Institute of Bioresources and Sustainable Development, Imphal, Manipur, India
| | - Sudripta Das
- Institute of Bioresources and Sustainable Development, Imphal, Manipur, India
| | - Sansuta Mohanty
- Central Horticultural Experiment Station, ICAR–Indian Institute of Horticultural Research, Bhubaneswar, Odisha, India
| | - Manas Ranjan Sahoo
- ICAR Research Complex for North Eastern Hill Region, Imphal, Manipur, India
- Central Horticultural Experiment Station, ICAR–Indian Institute of Horticultural Research, Bhubaneswar, Odisha, India
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Innovative Application of Metabolomics on Bioactive Ingredients of Foods. Foods 2022; 11:foods11192974. [PMID: 36230049 PMCID: PMC9562173 DOI: 10.3390/foods11192974] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 09/12/2022] [Accepted: 09/20/2022] [Indexed: 11/17/2022] Open
Abstract
Metabolomics, as a new omics technology, has been widely accepted by researchers and has shown great potential in the field of nutrition and health in recent years. This review briefly introduces the process of metabolomics analysis, including sample preparation and extraction, derivatization, separation and detection, and data processing. This paper focuses on the application of metabolomics in food-derived bioactive ingredients. For example, metabolomics techniques are used to analyze metabolites in food to find bioactive substances or new metabolites in food materials. Moreover, bioactive substances have been tested in vitro and in vivo, as well as in humans, to investigate the changes of metabolites and the underlying metabolic pathways, among which metabolomics is used to find potential biomarkers and targets. Metabolomics provides a new approach for the prevention and regulation of chronic diseases and the study of the underlying mechanisms. It also provides strong support for the development of functional food or drugs. Although metabolomics has some limitations such as low sensitivity, poor repeatability, and limited detection range, it is developing rapidly in general, and also in the field of nutrition and health. At the end of this paper, we put forward our own insights on the development prospects of metabolomics in the application of bioactive ingredients in food.
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15
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Zhao X, Qiu Z, Ma Z, Liu Y, Ren X, Yu X, Sun L, Wang M. Comprehensive Quality Evaluation of the Root Bark of Morus alba L. Based on High-Performance Liquid Chromatography Fingerprinting and Chemometric Analyses. Chem Biodivers 2022; 19:e202200362. [PMID: 35924830 DOI: 10.1002/cbdv.202200362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 08/04/2022] [Indexed: 11/07/2022]
Abstract
The quality of the root bark of Morus alba L. (SBP) herbs currently circulating in the market is variable. In order to ensure clinical effectiveness, a high-performance liquid chromatography (HPLC) fingerprinting method combined with chemical pattern recognition should be established to control the quality of SBP herbs. The differences of 23 batches of SBP were analyzed by exploratory cluster analysis based on shared fingerprint peak data, and the results indicated that the processing method to remove the cork layer from SBP materials is an important influencing factor on SBP quality. Principal component analysis indicated that SBP samples with the cork layer removed can be clearly distinguished from samples without cork layer removal. The potential chemical markers (kuwanon G, morusin and oxyresveratrol) were screened by partial least squares discriminant analysis. Finally, the contents of the main components were determined, indicating that the processing method of SBP materials can affect content of bioactive ingredients and that cork layer removal leads to a more uniform chemometric profile. The HPLC-based chemometrics approach described here will support the development of quality standards in SBP products.
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Affiliation(s)
- Xiaoran Zhao
- Tianjin University of Traditional Chinese Medicine, School of Chinese Materia Medica, School of Chinese Materia Medica, Tianjin, CHINA
| | - Ziying Qiu
- Tianjin University of Traditional Chinese Medicine, School of Chinese Materia Medica, No. 10, Poyang Lake Road, Jinghai District, Tianjin, CHINA
| | - Zicheng Ma
- Tianjin University of Traditional Chinese Medicine, School of Chinese Materia Medica, No. 10, Poyang Lake Road, Jinghai District, Tianjin, CHINA
| | - Yanan Liu
- Tianjin University of Traditional Chinese Medicine, School of Chinese Materia Medica, No. 10, Poyang Lake Road, Jinghai District, Tianjin, CHINA
| | - Xiaoliang Ren
- Tianjin University of Traditional Chinese Medicine, School of Chinese Materia Medica, No. 10, Poyang Lake Road, Jinghai District, Tianjin, CHINA
| | - Xiaohua Yu
- Tianjin traditional Chinese medicine decoction piece factory Co., Ltd, Tianjin traditional Chinese medicine decoction piece factory Co., Ltd, No. 278, Xiqing Road, Xiqing District, Tianijn, CHINA
| | - Lili Sun
- Tianjin University of Traditional Chinese Medicine, Tianjin, Tianjin, 301617, Tianjin, CHINA
| | - Meng Wang
- Tianjin University of Traditional Chinese Medicine, Tianjin State Key Laboratory of Modern Chinese Medicine, No. 10, Poyang Lake Road, Jinghai District, Tianjin, CHINA
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16
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Kolašinac S, Pećinar I, Danojević D, Stevanović ZD. Raman spectroscopy coupled with chemometric modeling approaches for authentication of different paprika varieties at physiological maturity. Lebensm Wiss Technol 2022. [DOI: 10.1016/j.lwt.2022.113402] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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17
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Advancement of omics techniques for chemical profile analysis and authentication of milk. Trends Food Sci Technol 2022. [DOI: 10.1016/j.tifs.2022.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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18
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Xiao Q, Mu X, Liu J, Li B, Liu H, Zhang B, Xiao P. Plant metabolomics: a new strategy and tool for quality evaluation of Chinese medicinal materials. Chin Med 2022; 17:45. [PMID: 35395803 PMCID: PMC8990502 DOI: 10.1186/s13020-022-00601-y] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Accepted: 03/26/2022] [Indexed: 11/24/2022] Open
Abstract
The present quality control method of Chinese medicinal materials (CMM) has obvious deficiency, which cannot be compatible with the multi-target and multi-component characteristics and production process of CMM. Plant metabolomics with a huge impetus to comprehensively characterize the metabolites and clarify the complexity and integrity of CMM, has been widely used in the research of CMM. This article comprehensively reviewed the application of plant metabolomics in the quality control of CMM. It introduced the concept, technique, and application examples, discussed the prospects, limitations, improvements of plant metabolomics. MS and NMR, as important techniques for plant metabolomics, are mainly highlighted in the case references. The purpose of this article is to clarify the advantage of plants metabolomics for promoting the optimization of the CMM quality control system and proposing a system approach to realize the overall quality control of CMM based on plant metabolomics combined with multidisciplinary method.
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Affiliation(s)
- Qi Xiao
- Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine (Peking Union Medical College), Ministry of Education, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100193, China
| | - Xinlu Mu
- Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine (Peking Union Medical College), Ministry of Education, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100193, China
| | - Jiushi Liu
- Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine (Peking Union Medical College), Ministry of Education, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100193, China
| | - Bin Li
- Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine (Peking Union Medical College), Ministry of Education, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100193, China
| | - Haitao Liu
- Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine (Peking Union Medical College), Ministry of Education, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100193, China.
| | - Bengang Zhang
- Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine (Peking Union Medical College), Ministry of Education, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100193, China
| | - Peigen Xiao
- Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine (Peking Union Medical College), Ministry of Education, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100193, China
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Enhanced Convolutional Neural Network Model for Cassava Leaf Disease Identification and Classification. MATHEMATICS 2022. [DOI: 10.3390/math10040580] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Cassava is a crucial food and nutrition security crop cultivated by small-scale farmers because it can survive in a brutal environment. It is a significant source of carbohydrates in African countries. Sometimes, Cassava crops can be infected by leaf diseases, affecting the overall production and reducing farmers’ income. The existing Cassava disease research encounters several challenges, such as poor detection rate, higher processing time, and poor accuracy. This research provides a comprehensive learning strategy for real-time Cassava leaf disease identification based on enhanced CNN models (ECNN). The existing Standard CNN model utilizes extensive data processing features, increasing the computational overhead. A depth-wise separable convolution layer is utilized to resolve CNN issues in the proposed ECNN model. This feature minimizes the feature count and computational overhead. The proposed ECNN model utilizes a distinct block processing feature to process the imbalanced images. To resolve the color segregation issue, the proposed ECNN model uses a Gamma correction feature. To decrease the variable selection process and increase the computational efficiency, the proposed ECNN model uses global average election polling with batch normalization. An experimental analysis is performed over an online Cassava image dataset containing 6256 images of Cassava leaves with five disease classes. The dataset classes are as follows: class 0: “Cassava Bacterial Blight (CBB)”; class 1: “Cassava Brown Streak Disease (CBSD)”; class 2: “Cassava Green Mottle (CGM)”; class 3: “Cassava Mosaic Disease (CMD)”; and class 4: “Healthy”. Various performance measuring parameters, i.e., precision, recall, measure, and accuracy, are calculated for existing Standard CNN and the proposed ECNN model. The proposed ECNN classifier significantly outperforms and achieves 99.3% accuracy for the balanced dataset. The test findings prove that applying a balanced database of images improves classification performance.
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A population based expression atlas provides insights into disease resistance and other physiological traits in cassava (Manihot esculenta Crantz). Sci Rep 2021; 11:23520. [PMID: 34876620 PMCID: PMC8651776 DOI: 10.1038/s41598-021-02794-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 11/22/2021] [Indexed: 11/24/2022] Open
Abstract
Cassava, a food security crop in Africa, is grown throughout the tropics and subtropics. Although cassava can provide high productivity in suboptimal conditions, the yield in Africa is substantially lower than in other geographies. The yield gap is attributable to many challenges faced by cassava in Africa, including susceptibility to diseases and poor soil conditions. In this study, we carried out 3’RNA sequencing on 150 accessions from the National Crops Resources Research Institute, Uganda for 5 tissue types, providing population-based transcriptomics resources to the research community in a web-based queryable cassava expression atlas. Differential expression and weighted gene co-expression network analysis were performed to detect 8820 significantly differentially expressed genes (DEGs), revealing similarity in expression patterns between tissue types and the clustering of detected DEGs into 18 gene modules. As a confirmation of data quality, differential expression and pathway analysis targeting cassava mosaic disease (CMD) identified 27 genes observed in the plant–pathogen interaction pathway, several previously identified CMD resistance genes, and two peroxidase family proteins different from the CMD2 gene. Present research work represents a novel resource towards understanding complex traits at expression and molecular levels for the development of resistant and high-yielding cassava varieties, as exemplified with CMD.
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Roca M, Pérez-Gálvez A. Metabolomics of Chlorophylls and Carotenoids: Analytical Methods and Metabolome-Based Studies. Antioxidants (Basel) 2021; 10:1622. [PMID: 34679756 PMCID: PMC8533378 DOI: 10.3390/antiox10101622] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 10/03/2021] [Accepted: 10/12/2021] [Indexed: 01/27/2023] Open
Abstract
Chlorophylls and carotenoids are two families of antioxidants present in daily ingested foods, whose recognition as added-value ingredients runs in parallel with the increasing number of demonstrated functional properties. Both groups include a complex and vast number of compounds, and extraction and analysis methods evolved recently to a modern protocol. New methodologies are more potent, precise, and accurate, but their application requires a better understanding of the technical and biological context. Therefore, the present review compiles the basic knowledge and recent advances of the metabolomics of chlorophylls and carotenoids, including the interrelation with the primary metabolism. The study includes material preparation and extraction protocols, the instrumental techniques for the acquisition of spectroscopic and spectrometric properties, the workflows and software tools for data pre-processing and analysis, and the application of mass spectrometry to pigment metabolomics. In addition, the review encompasses a critical description of studies where metabolomics analyses of chlorophylls and carotenoids were developed as an approach to analyzing the effects of biotic and abiotic stressors on living organisms.
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Affiliation(s)
| | - Antonio Pérez-Gálvez
- Food Phytochemistry Department, Instituto de la Grasa (CSIC), Building 46, 41013 Sevilla, Spain;
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Xiao L, Cao S, Shang X, Xie X, Zeng W, Lu L, Kong Q, Yan H. Metabolomic and transcriptomic profiling reveals distinct nutritional properties of cassavas with different flesh colors. FOOD CHEMISTRY: MOLECULAR SCIENCES 2021; 2:100016. [PMID: 35415637 PMCID: PMC8991741 DOI: 10.1016/j.fochms.2021.100016] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 01/14/2021] [Accepted: 02/12/2021] [Indexed: 02/01/2023]
Abstract
A total of 508 metabolites were identified in three cassava cultivars. White-fleshed cassava had the highest contents of amino acids and organic acids. Yellow-fleshed cassava was enriched in metabolites related to specific pathways. Several pathways were found to be regulated at the transcriptional level.
Cassava is a significant food security crop in several developing countries. Metabolites in cassava roots provide numerous nutrients essential for human health. Exploiting the diversity of nutritional ingredients present in cassavas is vital for improving its nutritional value. To address this problem, root metabolomes of three cassava cultivars with white-flesh, light-yellow-flesh and yellow-flesh were comprehensively measured, respectively. A total of 508 metabolites were detected in cassava roots, including 300 primary metabolites and 185 secondary metabolites. There were 22.6% to 34.1% metabolites exhibiting significant variations among the three cassava cultivars. The light-yellow-flesh cassava contained higher contents of secondary metabolites, especially flavone, phenylpropanoids and alkaloids, and lower contents of primary metabolites except lipids, alcohols, vitamins and derivatives. Compared with light-yellow-flesh cassava, the yellow-flesh cassava contained higher contents of amino acid and derivatives, but lower contents of phenylpropanoids, nucleotide and derivates. White-flesh cassava contained higher contents of primary metabolites, especially amino acid and derivatives, but lower contents of secondary metabolites except flavonoid and indole derivatives. Transcriptome analyses were parallelly performed to decipher the potential mechanisms regulating the accumulations of related metabolites. Several pathways were both enriched by differentially expressed genes and differentially accumulated metabolites, supporting that metabolisms of these metabolites were regulated at transcriptional level. These results expand the knowledge on metabolite compositions in cassava roots and provide substantial information for genetic improvement of cassavas with high nutritional values.
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Li H, Feng T, Wen Y, Li L, Liu Y, Ren X, Dou Z. Comparative Investigation for Raw and Processed Products of Euodiae Fructus Based on High-Performance Liquid Chromatography Fingerprints and Chemical Pattern Recognition. Chem Biodivers 2021; 18:e2100281. [PMID: 34145965 DOI: 10.1002/cbdv.202100281] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 06/18/2021] [Indexed: 12/28/2022]
Abstract
As a traditional Chinese medicine, Euodiae Fructus is widely used due to its analgesic, anti-inflammatory, and antihypertensive effects. However, Euodiae Fructus has also been documented to be toxic, and the toxic effects can be reduced by processing. To distinguish Euodiae Fructus from its processes products and study the changes of raw and processed products before and after processing, we evaluated four auxiliary material processing methods including vinegar, Zingiberis Rhizoma, Coptidis Rhizoma, and Glycyrrhizae Radix et Rhizoma. The raw Euodiae Fructus and four processed Euodiae Fructus samples were analyzed and compared based on the high-performance liquid chromatography (HPLC) fingerprints combined with chemometrics, including principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), and principal component analysis-class (PCA-Class). A total of 27 common peaks were obtained by fingerprint analysis. The fingerprint similarity of raw and processed samples was between 0.86-0.999. We also determined the contents of the main active ingredients - Evodiamine and Rutaecarpine. PCA and PLS-DA analyses were used to distinguish between the raw and processed samples of Euodiae Fructus, and 14 chemical markers were screened out. Four kinds of processed products were further analyzed and the results showed that they could be successfully distinguished under the established models, and 12 chemical markers were labeled. PCA-Class results revealed that the classification models constructed in this study had adequate discrimination ability. The method combined with HPLC fingerprinting and multi-component chemical pattern recognition technology could be used to differentiate raw and processed Euodiae Fructus with adequate predictive power. Our findings confirmed the rationality of the pharmacopoeial method and provided a reference for the quality control of the Glycyrrhizae Radix et Rhizoma processed Euodiae Fructus.
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Affiliation(s)
- Huanhuan Li
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, P. R. China
| | - Tao Feng
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, P. R. China
| | - Yingli Wen
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, P. R. China
| | - Li Li
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, P. R. China
| | - Yanan Liu
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, P. R. China
| | - Xiaoliang Ren
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, P. R. China
| | - Zhiying Dou
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, P. R. China
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Chen X, Lai H, Li R, Yao Y, Liu J, Yuan S, Fu S, Hu X, Guo J. Character changes and Transcriptomic analysis of a cassava sexual Tetraploid. BMC PLANT BIOLOGY 2021; 21:188. [PMID: 33874893 PMCID: PMC8056498 DOI: 10.1186/s12870-021-02963-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Accepted: 04/07/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Cassava (Manihot esculenta Crantz) is an important food crop known for its high starch content. Polyploid breeding is effective in its genetic improvement, and use of 2n gametes in sexual polyploid breeding is one of the potential methods for cassava breeding and improvement. In our study, the cassava sexual tetraploid (ST), which carries numerous valuable traits, was successfully generated by hybridizing 2n female gametes SC5 (♀) and 2n male gametes SC10 (♂). However, the molecular mechanisms remain unclear. To understand these underlying molecular mechanisms behind the phenotypic alterations and heterosis in ST plants, we investigated the differences in gene expression between polyploids and diploids by determining the transcriptomes of the ST plant and its parents during the tuber root enlargement period. We also compared the characters and transcriptomes of the ST plant with its parents. RESULTS The ST plant was superior in plant height, stem diameter, leaf area, petiole length, plant weight, and root weight than the parent plants, except the leaf number, which was lower. The number of starch granules was higher in the roots of ST plants than those in the parent plants after five months (tuber root enlargement period), which could be due to a higher leaf net photosynthetic rate leading to early filling of starch granules. Based on transcriptome analysis, we identified 2934 and 3171 differentially expressed genes (DEGs) in the ST plant as compared to its female and male parents, respectively. Pathway enrichment analyses revealed that flavonoid biosynthesis and glycolysis/gluconeogenesis were significantly enriched in the ST plants, which might contribute to the colors of petiole (purple-red), root epidermis (dark brown), and tuber starch accumulation, respectively. CONCLUSIONS After sexual polyploidization, the phenotype of ST has changed significantly in comparison to their diploid parents, mainly manifest as enlarged biomass, yield, early starch filling, deep colored petiole and root epidermis. The tetraploid plants were also mature early due to early starch grain filling. Owing to enriched flavonoid biosynthesis and glycolysis/gluconeogenesis, they are possibly resistant to adversity stresses and provide better yield, respectively.
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Affiliation(s)
- Xia Chen
- Agricultural College of Hainan University, Haikou, 571104 China
| | - Hanggui Lai
- Agricultural College of Hainan University, Haikou, 571104 China
| | - Ruimei Li
- Key Laboratory of Biology and Genetic Resources of Tropical Crops, Ministry of Agriculture, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, 571101 China
| | - Yuan Yao
- Key Laboratory of Biology and Genetic Resources of Tropical Crops, Ministry of Agriculture, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, 571101 China
| | - Jiao Liu
- Key Laboratory of Biology and Genetic Resources of Tropical Crops, Ministry of Agriculture, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, 571101 China
| | - Shuai Yuan
- Agricultural College of Hainan University, Haikou, 571104 China
| | - Shaoping Fu
- Key Laboratory of Biology and Genetic Resources of Tropical Crops, Ministry of Agriculture, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, 571101 China
| | - Xinwen Hu
- Agricultural College of Hainan University, Haikou, 571104 China
| | - Jianchun Guo
- Key Laboratory of Biology and Genetic Resources of Tropical Crops, Ministry of Agriculture, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, 571101 China
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25
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Enhancing the Shelf-Life of Fresh Cassava Roots: A Field Evaluation of Simple Storage Bags. Processes (Basel) 2021. [DOI: 10.3390/pr9040577] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Postharvest physiological deterioration (PPD) of fresh cassava roots limits their shelf-life to about 48 h. There is a demand for simple, cheap, and logistically feasible solutions for extending the shelf life of fresh cassava roots in industrial processes. In this study, three different types of bag materials were tested, namely woven polypropylene, tarpaulin, and jute as a potential storage solution for cassava roots with different levels of mechanical damage. Microclimate related to temperature, humidity, and carbon di-oxide (CO2) was monitored in order to understand the storage conditions for up to 12 days. The results showed that fresh cassava roots could be stored for 8 days, with minimal PPD and starch loss (2.4%). However, roots with significant mechanical damage in the form of cuts and breakages had a considerably shorter shelf life in the storage bag, compared to whole roots and roots with retained stalk (peduncle) where roots are connected to the main plant. Wetting of the roots and bag material were not significant factors in determining the shelf life and starch loss. Carbon dioxide concentration in the stores was significantly correlated with the starch loss in fresh cassava roots and is proposed as a possible method for continuously and remotely monitoring starch loss in large-scale commercial operations and reducing postharvest losses.
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26
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Chemometric applications in metabolomic studies using chromatography-mass spectrometry. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2020.116165] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Yan Y, You FH, Zeng MM, Chen J, Huang JJ, Jiang J. Evaluating the effects of temperature and time on heterocyclic aromatic amine profiles in roasted pork using combined UHPLC-MS/MS and multivariate analysis. Food Res Int 2021; 141:110134. [PMID: 33642001 DOI: 10.1016/j.foodres.2021.110134] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 12/27/2020] [Accepted: 01/08/2021] [Indexed: 01/19/2023]
Abstract
In this study, ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) combined with principal component analysis (PCA) were used to investigate the effects of process conditions on the profiles of carcinogenic and mutagenic heterocyclic aromatic amine (HAA) in the pork roasted at 175 °C, 200 °C, 225 °C and 250 °C for 10, 15, 20, 25, 30, 35 and 40 min. Twelve HAAs from four categories, including carboline (Norharman, Harman, and Phe-p-1), imidazopyridine (PhIP, 4'-OH-PhIP, DMIP, and 1,5,6-TMIP), imidazoquinoline (IQ, IQ [4,5-b], and MeIQ), and imidazoquinoxaline (MeIQx and 4,8-DiMeIQx), were detected, quantified and used to compose the HAA profiles in roasted pork. After being Analyzed by PCA, the distributions of HAA profiles from different temperature on the PCA score plot demonstrated that there are significant differences among the HAA profiles from different temperatures. The loading plot also showed that PhIP, 4'-OH-PhIP, IQ[4,5-b], and MeIQ were mainly responsible for the difference. The profiles from higher temperature distribute more scattered than the lower ones, illustrating that the time effects on the HAA profiles from higher temperature are stronger than the lower ones. Comparing the score and loading plots of different heating times, the diversities of the HAA profiles at different temperatures increased under prolonged heating because of the changingpyridines levels. The results of PCA that comparing the HAA from different categories displayed that the formation features of four categories HAAs were significantly differed because of their formation discrepancy under low temperatures and short-term roasting. Using HAA profiles as an entirety, these findings obtained in this study are more close to the real process of HAA formation in roasted pork, and make the complex effects of temperature and time on multiple HAA formations more simply to be concluded.
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Affiliation(s)
- Yan Yan
- Institute of Agro-products Processing, Anhui Academy of Agricultural Science, Hefei 230031, China.
| | - Feng-Hui You
- Institute of Agro-products Processing, Anhui Academy of Agricultural Science, Hefei 230031, China
| | - Mao-Mao Zeng
- Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Jie Chen
- Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Jing-Jing Huang
- Institute of Agro-products Processing, Anhui Academy of Agricultural Science, Hefei 230031, China
| | - Jian Jiang
- Institute of Agro-products Processing, Anhui Academy of Agricultural Science, Hefei 230031, China.
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Ding Z, Fu L, Tie W, Yan Y, Wu C, Dai J, Zhang J, Hu W. Highly dynamic, coordinated, and stage-specific profiles are revealed by a multi-omics integrative analysis during tuberous root development in cassava. JOURNAL OF EXPERIMENTAL BOTANY 2020; 71:7003-7017. [PMID: 32777039 DOI: 10.1093/jxb/eraa369] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 08/01/2020] [Indexed: 05/23/2023]
Abstract
Cassava (Manihot esculenta) is an important starchy root crop that provides food for millions of people worldwide, but little is known about the regulation of the development of its tuberous root at the multi-omics level. In this study, the transcriptome, proteome, and metabolome were examined in parallel at seven time-points during the development of the tuberous root from the early to late stages of its growth. Overall, highly dynamic and stage-specific changes in the expression of genes/proteins were observed during development. Cell wall and auxin genes, which were regulated exclusively at the transcriptomic level, mainly functioned during the early stages. Starch biosynthesis, which was controlled at both the transcriptomic and proteomic levels, was mainly activated in the early stages and was greatly restricted during the late stages. Two main branches of lignin biosynthesis, coniferyl alcohol and sinapyl alcohol, also functioned during the early stages of development at both the transcriptomic and proteomic levels. Metabolomic analysis further supported the stage-specific roles of particular genes/proteins. Metabolites related to lignin and flavonoid biosynthesis showed high abundance during the early stages, those related to lipids exhibited high abundance at both the early and middle stages, while those related to amino acids were highly accumulated during the late stages. Our findings provide a comprehensive resource for broadening our understanding of tuberous root development and will facilitate future genetic improvement of cassava.
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Affiliation(s)
- Zehong Ding
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions, Key Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
- Hainan Key Laboratory for Protection and Utilization of Tropical Bioresources, Hainan Institute for Tropical Agricultural Resources, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Lili Fu
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions, Key Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
- Hainan Key Laboratory for Protection and Utilization of Tropical Bioresources, Hainan Institute for Tropical Agricultural Resources, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Weiwei Tie
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions, Key Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
- Hainan Key Laboratory for Protection and Utilization of Tropical Bioresources, Hainan Institute for Tropical Agricultural Resources, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Yan Yan
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions, Key Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
- Hainan Key Laboratory for Protection and Utilization of Tropical Bioresources, Hainan Institute for Tropical Agricultural Resources, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Chunlai Wu
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions, Key Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
- Genetic Engineering International Cooperation Base of Chinese Ministry of Science and Technology, Key Laboratory of Molecular Biophysics of Chinese Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology (HUST), Wuhan, China
| | - Jing Dai
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions, Key Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
- Genetic Engineering International Cooperation Base of Chinese Ministry of Science and Technology, Key Laboratory of Molecular Biophysics of Chinese Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology (HUST), Wuhan, China
| | - Jiaming Zhang
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions, Key Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
- Hainan Key Laboratory for Protection and Utilization of Tropical Bioresources, Hainan Institute for Tropical Agricultural Resources, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Wei Hu
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions, Key Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
- Hainan Key Laboratory for Protection and Utilization of Tropical Bioresources, Hainan Institute for Tropical Agricultural Resources, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
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Sinan KI, Martinović LS, Peršurić Ž, Pavelić SK, Etienne OK, Mahomoodally MF, Sadeer NB, Zengin G. Novel insights into the biopharmaceutical potential, comparative phytochemical analysis and multivariate analysis of different extracts of shea butter tree -Vitellaria paradoxa C. F. Gaertn. Process Biochem 2020. [DOI: 10.1016/j.procbio.2020.07.028] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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30
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Neto FC, Guaratini T, Colepicolo P, Gates PJ, Lopes NP. Characteristic product ions of acetylene carotenoids by electrospray and nanospray ionization tandem mass spectrometry. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2020; 34:e8811. [PMID: 32286716 DOI: 10.1002/rcm.8811] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 04/05/2020] [Accepted: 04/06/2020] [Indexed: 06/11/2023]
Affiliation(s)
- Fausto Carnevale Neto
- Núcleo de Pesquisa em Produtos Naturais e Sintéticos (NPPNS), Departamento de Física e Química, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, São Paulo, 14040-903, Brazil
- Northwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington, 850 Republican Street, Seattle, WA, 98109, USA
| | - Thais Guaratini
- Núcleo de Pesquisa em Produtos Naturais e Sintéticos (NPPNS), Departamento de Física e Química, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, São Paulo, 14040-903, Brazil
- Lychnoflora Pesquisa e Desenvolvimento em Produtos Naturais LTDA, Incubadora SUPERA, Campus da Universidade de São Paulo, Ribeirão Preto, São Paulo, 14040-903, Brazil
| | - Pio Colepicolo
- Departamento de Bioquímica, Instituto de Química de São Paulo, Universidade de São Paulo, São Paulo, 05508-000, Brazil
| | - Paul J Gates
- School of Chemistry, University of Bristol, Cantock's Close, Bristol, BS8 1TS, UK
| | - Norberto Peporine Lopes
- Núcleo de Pesquisa em Produtos Naturais e Sintéticos (NPPNS), Departamento de Física e Química, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, São Paulo, 14040-903, Brazil
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31
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Rocha WFDC, do Prado CB, Blonder N. Comparison of Chemometric Problems in Food Analysis Using Non-Linear Methods. Molecules 2020; 25:E3025. [PMID: 32630676 PMCID: PMC7411792 DOI: 10.3390/molecules25133025] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 06/25/2020] [Accepted: 06/29/2020] [Indexed: 11/16/2022] Open
Abstract
Food analysis is a challenging analytical problem, often addressed using sophisticated laboratory methods that produce large data sets. Linear and non-linear multivariate methods can be used to process these types of datasets and to answer questions such as whether product origin is accurately labeled or whether a product is safe to eat. In this review, we present the application of non-linear methods such as artificial neural networks, support vector machines, self-organizing maps, and multi-layer artificial neural networks in the field of chemometrics related to food analysis. We discuss criteria to determine when non-linear methods are better suited for use instead of traditional methods. The principles of algorithms are described, and examples are presented for solving the problems of exploratory analysis, classification, and prediction.
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Affiliation(s)
- Werickson Fortunato de Carvalho Rocha
- National Institute of Metrology, Quality and Technology (INMETRO), Av. N. S. das Graças, 50, Xerém, Duque de Caxias 25250-020, RJ, Brazil; (W.F.C.R.); (C.B.d.P.)
- National Institute of Standards and Technology (NIST), 100 Bureau Drive, Stop 8390 Gaithersburg, MD 20899, USA
| | - Charles Bezerra do Prado
- National Institute of Metrology, Quality and Technology (INMETRO), Av. N. S. das Graças, 50, Xerém, Duque de Caxias 25250-020, RJ, Brazil; (W.F.C.R.); (C.B.d.P.)
| | - Niksa Blonder
- National Institute of Standards and Technology (NIST), 100 Bureau Drive, Stop 8390 Gaithersburg, MD 20899, USA
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32
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Filho FO, Silva EDO, Lopes MMDA, Ribeiro PRV, Oster AH, Guedes JAC, Zampieri DDS, Bordallo PDN, Zocolo GJ. Effect of pulsed light on postharvest disease control-related metabolomic variation in melon (Cucumis melo) artificially inoculated with Fusarium pallidoroseum. PLoS One 2020; 15:e0220097. [PMID: 32310943 PMCID: PMC7170254 DOI: 10.1371/journal.pone.0220097] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 03/17/2020] [Indexed: 01/03/2023] Open
Abstract
Pulsed light, as a postharvest technology, is an alternative to traditional fungicides, and can be used on a wide variety of fruit and vegetables for sanitization or pathogen control. In addition to these applications, other effects also are detected in vegetal cells, including changes in metabolism and secondary metabolite production, which directly affect disease control response mechanisms. This study aimed to evaluate pulsed ultraviolet light in controlling postharvest rot, caused by Fusarium pallidoroseum in 'Spanish' melon, in natura, and its implications in disease control as a function of metabolomic variation to fungicidal or fungistatic effects. The dose of pulsed light (PL) that inhibited F. pallidoroseum growth in melons (Cucumis melo var. Spanish) was 9 KJ m-2. Ultra-performance liquid chromatography (UPLC) coupled to a quadrupole-time-of-flight (QTOF) mass analyzer identified 12 compounds based on tandem mass spectrometry (MS/MS) fragmentation patterns. Chemometric analysis by Principal Components Analysis (PCA) and Orthogonal Partial Least Squared Discriminant Analysis (OPLS-DA) and corresponding S-Plot were used to evaluate the changes in fruit metabolism. PL technology provided protection against postharvest disease in melons, directly inhibiting the growth of F. pallidoroseum through the upregulation of specific fruit biomarkers such as pipecolic acid (11), saponarin (7), and orientin (3), which acted as major markers for the defense system against pathogens. PL can thus be proposed as a postharvest technology to prevent chemical fungicides and may be applied to reduce the decay of melon quality during its export and storage.
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Affiliation(s)
- Francisco Oiram Filho
- Department of Chemical Engineering, Science Center, Federal University of Ceará, Fortaleza, Ceará, Brazil
| | - Ebenézer de Oliveira Silva
- Multiuser Laboratory of Natural Products Chemistry, EMBRAPA Agroindústria Tropical, Fortaleza, Ceará, Brazil
| | - Mônica Maria de Almeida Lopes
- Department of Biochemistry and Molecular Biology, Science Center, Federal University of Ceará, Fortaleza, Ceará, Brazil
| | | | - Andréia Hansen Oster
- Post Harvest Laboratory, EMBRAPA Uva e Vinho, Bento Gonçalves, Rio Grande do Sul, Brazil
| | - Jhonyson Arruda Carvalho Guedes
- Department of Analytical and Physical-Chemical Chemistry, Science Center, Federal University of Ceará, Fortaleza, Ceará, Brazil
| | - Dávila de Souza Zampieri
- Department of Organic and Inorganic Chemistry, Science Center, Federal University of Ceará, Fortaleza, Ceará, Brazil
| | | | - Guilherme Julião Zocolo
- Multiuser Laboratory of Natural Products Chemistry, EMBRAPA Agroindústria Tropical, Fortaleza, Ceará, Brazil
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Abstract
The major goal in plant metabolomics is to study complex extracts for the purposes of metabolic exploration and natural products discovery. To achieve this goal, plant metabolomics relies on accurate and selective acquisition of all possible chemical information, which includes maximization of the number of detected metabolites and their correct molecular assignment. Nuclear magnetic resonance (NMR) spectroscopy has been recognized as a powerful platform for obtaining the metabolite profiles of plant extracts. In this chapter, we provide a workflow for targeted and untargeted metabolite profiling of plant extracts using both 1D and 2D NMR methods. The protocol includes sample preparation, instrument operation, data processing, multivariate analysis, biomarker elucidation, and metabolite quantitation. It also addresses the annotation of plant metabolite peaks considering NMR's capabilities to cover a broad range of metabolites and elucidate structures for unknown compounds.
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Affiliation(s)
- Denise Medeiros Selegato
- Núcleo de Bioensaios, Biossíntese e Ecofisiologia de Produtos Naturais (NuBBE), Departamento de Química Orgânica, Instituto de Química, Universidade Estadual Paulista (UNESP), Araraquara, São Paulo, Brazil
| | - Alan Cesar Pilon
- Núcleo de Pesquisa em Produtos Naturais e Sintéticos (NPPNS), Departamento de Física e Química, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Fausto Carnevale Neto
- Department of Anesthesiology and Pain Medicine, Northwest Metabolomics Research Center, University of Washington, Seattle, WA, USA.
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Li S, Zhao W, Li P, Min G, Zhang A, Zhang J, Liu Y, Liu J. Effects of different cultivars and particle sizes of non‐degermed millet flour fractions on the physical and texture properties of Chinese steamed bread. Cereal Chem 2020. [DOI: 10.1002/cche.10282] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Affiliation(s)
- Shao‐Hui Li
- Institute of Millet Crops Hebei Academy of Agriculture and Forestry Science Shijiazhuang China
- National Foxtail Millet Improvement Center Shijiazhuang China
- Minor Cereal Crops Laboratory of Hebei Province Shijiazhuang China
| | - Wei Zhao
- Institute of Millet Crops Hebei Academy of Agriculture and Forestry Science Shijiazhuang China
- National Foxtail Millet Improvement Center Shijiazhuang China
- Minor Cereal Crops Laboratory of Hebei Province Shijiazhuang China
| | - Peng‐Liang Li
- Institute of Millet Crops Hebei Academy of Agriculture and Forestry Science Shijiazhuang China
- National Foxtail Millet Improvement Center Shijiazhuang China
- Minor Cereal Crops Laboratory of Hebei Province Shijiazhuang China
| | - Guang Min
- Grain and Oil Food Inspection Center of Wuhan Wuhan China
| | - Ai‐Xia Zhang
- Institute of Millet Crops Hebei Academy of Agriculture and Forestry Science Shijiazhuang China
- National Foxtail Millet Improvement Center Shijiazhuang China
- Minor Cereal Crops Laboratory of Hebei Province Shijiazhuang China
| | - Jia‐Li Zhang
- Institute of Millet Crops Hebei Academy of Agriculture and Forestry Science Shijiazhuang China
- National Foxtail Millet Improvement Center Shijiazhuang China
- Minor Cereal Crops Laboratory of Hebei Province Shijiazhuang China
| | - Ying‐Ying Liu
- Institute of Millet Crops Hebei Academy of Agriculture and Forestry Science Shijiazhuang China
- National Foxtail Millet Improvement Center Shijiazhuang China
- Minor Cereal Crops Laboratory of Hebei Province Shijiazhuang China
| | - Jing‐Ke Liu
- Institute of Millet Crops Hebei Academy of Agriculture and Forestry Science Shijiazhuang China
- National Foxtail Millet Improvement Center Shijiazhuang China
- Minor Cereal Crops Laboratory of Hebei Province Shijiazhuang China
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Chen ZH, Fan QX, Han XY, Shi G, Zhang M. Design of smart chemical ‘tongue’ sensor arrays for pattern-recognition-based biochemical sensing applications. Trends Analyt Chem 2020. [DOI: 10.1016/j.trac.2019.115794] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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36
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Modelling the vigour of maize seeds submitted to artificial accelerated ageing based on ATR-FTIR data and chemometric tools (PCA, HCA and PLS-DA). Heliyon 2020; 6:e03477. [PMID: 32140593 PMCID: PMC7047203 DOI: 10.1016/j.heliyon.2020.e03477] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 11/11/2019] [Accepted: 02/20/2020] [Indexed: 01/26/2023] Open
Abstract
The main goals of this research were to use ATR-FTIR spectroscopy associated with multivariate analyses to identify biochemical changes in high and low vigour seed tissues (embryo and endosperm) in response to accelerated ageing and to create a model to predict seed vigour based on spectroscopic data. High-vigour seeds undergo minimal changes in biochemical composition during stress by accelerated ageing while low-vigour seeds are more sensitive to stress and this lower tolerance is associated with reduced lipid and protein content and increased amino acids, carbohydrates and phosphorus compounds in the embryo. High-vigour seeds show an increase in peaks associated with amino acids and phosphorous compounds in the endosperm after 24 h of stress while low-vigour seeds present these high-intensity peaks only after 72 h in the embryo. The results of this research provide the theoretical basis for the genetic improvement of maize cultivars that aim at higher physiological seed quality.
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37
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Ultrasound-assisted extraction of pectin from artichoke by-products. An artificial neural network approach to pectin characterisation. Food Hydrocoll 2020. [DOI: 10.1016/j.foodhyd.2019.105238] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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38
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Identification of rice flour types with near-infrared spectroscopy associated with PLS-DA and SVM methods. Eur Food Res Technol 2019. [DOI: 10.1007/s00217-019-03419-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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39
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He X, Feng X, Sun D, Liu F, Bao Y, He Y. Rapid and Nondestructive Measurement of Rice Seed Vitality of Different Years Using Near-Infrared Hyperspectral Imaging. Molecules 2019; 24:E2227. [PMID: 31207950 PMCID: PMC6630334 DOI: 10.3390/molecules24122227] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Accepted: 06/13/2019] [Indexed: 11/17/2022] Open
Abstract
Seed vitality is one of the primary determinants of high yield that directly affects the performance of seedling emergence and plant growth. However, seed vitality may be lost during storage because of unfavorable conditions, such as high moisture content and temperatures. It is therefore vital for seed companies as well as farmers to test and determine seed vitality to avoid losses of any kind before sowing. In this study, near-infrared hyperspectral imaging (NIR-HSI) combined with multiple data preprocessing methods and classification models was applied to identify the vitality of rice seeds. A total of 2400 seeds of three different years: 2015, 2016 and 2017, were evaluated. The experimental results show that the NIR-HSI technique has great potential for identifying vitality and vigor of rice seeds. When detecting the seed vitality of the three different years, the extreme learning machine model with Savitzky-Golay preprocessing could achieve a high classification accuracy of 93.67% by spectral data from only eight wavebands (992, 1012, 1119, 1167, 1305, 1402, 1629 and 1649 nm), which could be developed for a fast and cost-effective seed-sorting system for industrial online application. When identifying non-viable seeds from viable seeds of different years, the least squares support vector machine model coupled with raw data and selected wavelengths of 968, 988, 1204, 1301, 1409, 1463, 1629, 1646 and 1659 nm achieved better classification performance (94.38% accuracy), and could be adopted as an optimal combination to identify non-viable seeds from viable seeds.
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Affiliation(s)
- Xiantao He
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
- Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Zhejiang University, Hangzhou 310058, China.
| | - Xuping Feng
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
- Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Zhejiang University, Hangzhou 310058, China.
| | - Dawei Sun
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
- Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Zhejiang University, Hangzhou 310058, China.
| | - Fei Liu
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
- Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Zhejiang University, Hangzhou 310058, China.
| | - Yidan Bao
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
- Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Zhejiang University, Hangzhou 310058, China.
| | - Yong He
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
- Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Zhejiang University, Hangzhou 310058, China.
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Kutty NN, Mitra A. Profiling of volatile and non-volatile metabolites in Polianthes tuberosa L. flowers reveals intraspecific variation among cultivars. PHYTOCHEMISTRY 2019; 162:10-20. [PMID: 30844491 DOI: 10.1016/j.phytochem.2019.02.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Revised: 02/12/2019] [Accepted: 02/15/2019] [Indexed: 06/09/2023]
Abstract
Polianthes tuberosa L. (tuberose) is a widely cultivated ornamental crop in Asian countries. Different cultivars of tuberose have been developed through breeding programs in India. However, no reports on floral fragrance and metabolite contents of these cultivars are available. In this study, an attempt has been made to evaluate the levels of both volatile and non-volatile metabolites from seven different cultivars of P. tuberosa. Presence of benzenoids, phenylpropanoids, terpenoids, and few fatty acid derivatives as emitted, endogenous and glycosylated forms were revealed from the studied cultivars. Further, chemometric analyses in both supervised and unsupervised manner led to identification of patterns among the cultivars. Among the seven cultivars, four distinct clusters were obtained linking to their volatiles, flavonoids and primary metabolite levels. Metabolic variations obtained from the cultivars also suggest cross-talks between phenylpropanoid, benzenoid, and flavonoid pathways. Thus metabolite profiling reported here may help in characterization of tuberose cultivars for perfumery utility and future breeding programme.
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Affiliation(s)
- Nithya N Kutty
- Natural Product Biotechnology Group, Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur, 721302, West Bengal, India
| | - Adinpunya Mitra
- Natural Product Biotechnology Group, Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur, 721302, West Bengal, India.
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Coelho DG, Fonseca KS, de Mélo Neto DF, de Andrade MT, Coelho Junior LF, Ferreira-Silva SL, Simões ADN. Association of preharvest management with oxidative protection and enzymatic browning in minimally processed cassava. J Food Biochem 2019; 43:e12840. [PMID: 31353528 DOI: 10.1111/jfbc.12840] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Revised: 02/08/2019] [Accepted: 03/01/2019] [Indexed: 01/30/2023]
Abstract
The aim of this study was to examine oxidative protection and enzymatic browning in the storage of minimally processed cassava and their relationship with population density and harvest age. Population densities were 1.0, 1.25, 1.5, and 1.75 plants m-2 . After being harvested at 300, 360, or 420 days after planting, cassava were minimally processed and stored at 5 ± 2°C. It was observed that superoxide dismutase (SOD), catalase (CAT), and peroxidase (POD) play key roles in the tolerance of young roots to browning. Planting density, however, does not appear to be a key factor modulating the activity of the enzymes studied. PRACTICAL APPLICATIONS: Younger harvested cassava roots, harvested at 300 days, are more tolerant to enzymatic browning. This appears to be in part due to enzymatic activity modulation of the SOD, CAT, and POD enzymes. In addition, it has been demonstrated that agronomic techniques aimed at increasing productivity, such as increasing the planting density of cassava, do not alter the biomarkers of postharvest quality. In summary, evidence that field management may be an efficient approach to improving the conservation of minimally processed cassava is provided. We believe that the findings of this paper will be of great interest regarding the influence of field management on the postharvest quality of freshly cut cassava and will also provide applicable results relating to its production chain.
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Xu T, Lu C, Feng L, Fan LX, Sun J, Fan B, Wang Q, Wang Y, Liu XM, Wang FZ. Liquid chromatography–mass spectrometry-based urinary metabolomics study on a rat model of simulated microgravity-induced depression. J Pharm Biomed Anal 2019; 165:31-40. [DOI: 10.1016/j.jpba.2018.11.058] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 11/23/2018] [Accepted: 11/24/2018] [Indexed: 12/26/2022]
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43
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Sabater C, Olano A, Corzo N, Montilla A. GC–MS characterisation of novel artichoke (Cynara scolymus) pectic-oligosaccharides mixtures by the application of machine learning algorithms and competitive fragmentation modelling. Carbohydr Polym 2019; 205:513-523. [DOI: 10.1016/j.carbpol.2018.10.054] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Revised: 10/11/2018] [Accepted: 10/18/2018] [Indexed: 01/13/2023]
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44
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Yang T, Guang Hu J, Yu Y, Li G, Guo X, Li T, Liu RH. Comparison of phenolics, flavonoids, and cellular antioxidant activities in ear sections of sweet corn (Zea mays
L. saccharata
Sturt). J FOOD PROCESS PRES 2018. [DOI: 10.1111/jfpp.13855] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
- Tianran Yang
- School of Food Science and Engineering; South China University of Technology; Guangzhou China
| | - Jian Guang Hu
- Crop Research Institute; Guangdong Academy of Agricultural Sciences; Guangzhou China
- Key Laboratory of Crops Genetics Improvement of Guangdong Province; Guangzhou China
| | - Yongtao Yu
- Crop Research Institute; Guangdong Academy of Agricultural Sciences; Guangzhou China
- Key Laboratory of Crops Genetics Improvement of Guangdong Province; Guangzhou China
| | - Gaoke Li
- Crop Research Institute; Guangdong Academy of Agricultural Sciences; Guangzhou China
- Key Laboratory of Crops Genetics Improvement of Guangdong Province; Guangzhou China
| | - Xinbo Guo
- School of Food Science and Engineering; South China University of Technology; Guangzhou China
| | - Tong Li
- Department of Food Science; Cornell University; Ithaca New York
| | - Rui Hai Liu
- Department of Food Science; Cornell University; Ithaca New York
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Wang Y, Huang HY, Zuo ZT, Wang YZ. Comprehensive quality assessment of Dendrubium officinale using ATR-FTIR spectroscopy combined with random forest and support vector machine regression. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2018; 205:637-648. [PMID: 30086524 DOI: 10.1016/j.saa.2018.07.086] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Revised: 07/25/2018] [Accepted: 07/30/2018] [Indexed: 05/26/2023]
Abstract
Dendrobium officinale, as a tonic herb, has attracted more and more consumers to consume in daily life. In order to protect the wild resource, the herb has made great progress though cultivation in vitro. However, the quality is fluctuated in Chinese herbal medicine market due to influence such as cultivated areas and harvesting period. Therefore, the herbal samples from different cultivated locations were evaluated with high-performance liquid chromatography with diode array detector (HPLC-DAD) in terms of two chemical components, quercetin and erianin. In addition, two markers in leaf and stem also were used for support vector machine regression (SVMR) prediction. Samples from different harvesting periods were also classified using attenuated total reflectance mid-infrared spectroscopy coupled with random forest model. The results indicated that Pu'er and Menghai in Yunnan Province were suitable places for the herb cultivation and the leaf of the herb was also an exploitable resource just in light of the content of two components. What's more, combination of suitable spectra pretreatment and grid search method efficiently improved the prediction performance of the regression model. The results of random forest model indicated that important variables combination between stem and leaf was an effective tool to predict the harvesting time of the herb with 94.44% accuracy in calibration set and 97.92% classification correct rate in validation set. The results of combination were better than the models using individual stem and leaf spectra. In addition, the suitable harvesting time (December) could be classified efficiently. Our study provides a reference for quality control of raw materials from D. officinale herb.
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Affiliation(s)
- Ye Wang
- Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming 650200, PR China; College of Traditional Chinese Medicine, Yunnan University of Traditional Chinese Medicine, Kunming 650500, PR China
| | - Heng-Yu Huang
- College of Traditional Chinese Medicine, Yunnan University of Traditional Chinese Medicine, Kunming 650500, PR China
| | - Zhi-Tian Zuo
- Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming 650200, PR China.
| | - Yuan-Zhong Wang
- Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming 650200, PR China.
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46
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Souza SO, Santos VS, Santos ES, Ávila DVL, Nascimento CC, Costa SSL, Garcia CAB, Araujo RGO. Evaluation of the mineral content in milk and yogurt types using chemometric tools. Microchem J 2018. [DOI: 10.1016/j.microc.2018.07.019] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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47
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Evaluation of the Starch Quantification Methods of Musa paradisiaca, Manihot esculenta, and Dioscorea trífida Using Factorial Experiments. INTERNATIONAL JOURNAL OF FOOD SCIENCE 2018; 2018:5901930. [PMID: 30538999 PMCID: PMC6258095 DOI: 10.1155/2018/5901930] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Revised: 09/05/2018] [Accepted: 09/06/2018] [Indexed: 11/17/2022]
Abstract
Background Starch and its products are used in a variety of ways for both the food and nonfood industries. A factorial experiment is carried out with two factors to explain the behavior of the percentage of starch, where the factors correspond to the extraction method and to the raw material. Method Three methods were used in triplicate: the first followed the official technique of the Association of Official Analytical Chemists (AOAC), to perform acid hydrolysis and quantification of starch by Titulation; the second method involved the colorful reaction with iodine using the UV equipment to measure the absorbance and calculate the percentage of starch; as a third method the FTIR was used, through which the concentration of the starch was calculated by the area under the curve obtained from the spectrum. Results there is an effect of both the method and the raw material on the percentage of starch, while there was no effect of the interaction; the Tukey test indicates that the highest average percentage of extraction occurs with the extraction method by Titulation and with the starch of Manihot esculenta. Conclusion It is used as raw material. The method of quantification of starch by UV-VIS spectroscopy was the best for the study samples because it presented less deviation in relation to the FTIR and Titulation methods.
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48
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Classification of samples from NMR-based metabolomics using principal components analysis and partial least squares with uncertainty estimation. Anal Bioanal Chem 2018; 410:6305-6319. [PMID: 30043113 DOI: 10.1007/s00216-018-1240-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Revised: 06/14/2018] [Accepted: 07/02/2018] [Indexed: 12/18/2022]
Abstract
Recent progress in metabolomics has been aided by the development of analysis techniques such as gas and liquid chromatography coupled with mass spectrometry (GC-MS and LC-MS) and nuclear magnetic resonance (NMR) spectroscopy. The vast quantities of data produced by these techniques has resulted in an increase in the use of machine algorithms that can aid in the interpretation of this data, such as principal components analysis (PCA) and partial least squares (PLS). Techniques such as these can be applied to biomarker discovery, interlaboratory comparison, and clinical diagnoses. However, there is a lingering question whether the results of these studies can be applied to broader sets of clinical data, usually taken from different data sources. In this work, we address this question by creating a metabolomics workflow that combines a previously published consensus analysis procedure ( https://doi.org/10.1016/j.chemolab.2016.12.010 ) with PCA and PLS models using uncertainty analysis based on bootstrapping. This workflow is applied to NMR data that come from an interlaboratory comparison study using synthetic and biologically obtained metabolite mixtures. The consensus analysis identifies trusted laboratories, whose data are used to create classification models that are more reliable than without. With uncertainty analysis, the reliability of the classification can be rigorously quantified, both for data from the original set and from new data that the model is analyzing. Graphical abstract ᅟ.
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49
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Fang T, Li Y, Li F, Huang F. Rapid Diagnosis of Type II Diabetes Using Fourier Transform Mid-Infrared Attenuated Total Reflection Spectroscopy Combined with Support Vector Machine. ANAL LETT 2018. [DOI: 10.1080/00032719.2017.1375940] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Tao Fang
- Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Jinan University, Guangzhou, China
- Department of Optoelectronic Engineering, Jinan University, Guangzhou, China
| | - Yuanpeng Li
- Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Jinan University, Guangzhou, China
- Department of Optoelectronic Engineering, Jinan University, Guangzhou, China
| | - Fucui Li
- Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Jinan University, Guangzhou, China
- Department of Optoelectronic Engineering, Jinan University, Guangzhou, China
| | - Furong Huang
- Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Jinan University, Guangzhou, China
- Department of Optoelectronic Engineering, Jinan University, Guangzhou, China
- Research Institute of Jinan University in Dongguan, Dongguan, China
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50
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Li C, Cao J, Nie SP, Zhu KX, Xiong T, Xie MY. Serum metabolomics analysis for biomarker of Lactobacillus plantarum NCU116 on hyperlipidaemic rat model feed by high fat diet. J Funct Foods 2018. [DOI: 10.1016/j.jff.2017.12.036] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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