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Okechukwu VO, Kappo AP, Njobeh PB, Mamo MA. Morphed aflaxotin concentration produced by Aspergillus flavus strain VKMN22 on maize grains inoculated on agar culture. FOOD CHEMISTRY. MOLECULAR SCIENCES 2024; 8:100197. [PMID: 38468716 PMCID: PMC10925925 DOI: 10.1016/j.fochms.2024.100197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 02/13/2024] [Accepted: 02/25/2024] [Indexed: 03/13/2024]
Abstract
This study identified and monitored the levels of aflatoxins (B1 and B2) produced by Aspergillus flavus isolate VKMN22 (OP355447) in maize samples sourced from a local shop in Johannesburg, South Africa. Maize samples underwent controlled incubation after initial rinsing, and isolates were identified through morphological and molecular methods. In another experiment, autoclaved maize grains were intentionally re-inoculated with the identified fungal isolate using spore suspension (106 spore/mL), after which 1 g of the contaminated maize sample was inoculated on PDA media and cultured for seven days. The aflatoxin concentrations in the A. flavus contaminated maize inoculated on culture media was monitored over seven weeks and then measured using liquid chromatography-mass spectroscopy (LC-MS). Results confirmed the successful isolation of A. flavus strain VKMN22 with accession number OP355447, which consistently produced higher levels of AFB1 compared to AFB2. AF concentrations increased from week one to five, then declined in week six and seven. AFB1 levels ranged from 594.3 to 9295.33 µg/kg (week 1-5) and then reduced from 5719.67 to 2005 µg/kg in week six and seven), while AFB2 levels ranged from 4.92 to 901.67 µg/kg (weeks 1-5) and then degraded to 184 µg/kg in week six then 55.33 µg/kg (weeks 6-7). Levene's tests confirmed significantly higher mean concentrations of AFB1 compared to AFB2 (p ≤ 0.005). The study emphasizes the importance of consistent biomonitoring for a dynamic understanding of AF contamination, informing accurate prevention and control strategies in agricultural commodities thereby safeguarding food safety.
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Affiliation(s)
- Viola O. Okechukwu
- Department of Biochemistry, Auckland Park Kingsway Campus, University of Johannesburg, South Africa
| | - Abidemi P. Kappo
- Department of Biochemistry, Auckland Park Kingsway Campus, University of Johannesburg, South Africa
| | - Patrick B. Njobeh
- Department of Food and Biotechnology, PO Box 17011, Doornfontein Campus, University of Johannesburg, South Africa
| | - Messai A. Mamo
- Department of Chemical Sciences, PO Box 2028, Doornfontein Campus, University of Johannesburg, South Africa
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2
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Qu M, He Y, Xu W, Liu D, An C, Liu S, Liu G, Cheng F. Array-optimized artificial olfactory sensor enabling cost-effective and non-destructive detection of mycotoxin-contaminated maize. Food Chem 2024; 456:139940. [PMID: 38870807 DOI: 10.1016/j.foodchem.2024.139940] [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: 03/28/2024] [Revised: 05/15/2024] [Accepted: 05/30/2024] [Indexed: 06/15/2024]
Abstract
The MobileNetV3-based improved sine-cosine algorithm (ISCA-MobileNetV3) was combined with an artificial olfactory sensor (AOS) to address the redundancy in olfactory arrays, thereby achieving low-cost and high-precision detection of mycotoxin-contaminated maize. Specifically, volatile organic compounds of maize interacted with unoptimized AOS containing eight porphyrins and eight dye-attached nanocomposites to obtain the scent fingerprints for constructing the initial data set. The optimal decision model was MobileNetV3, with more than 98.5% classification accuracy, and its output training loss would be input into the optimizer ISCA. Remarkably, the number of olfactory arrays was reduced from 16 to 6 by ISCA-MobileNetV3 with about a 1% decrease in classification accuracy. Additionally, the developed system showed that each online evaluation was less than one second on average, demonstrating outstanding real-time performance for ensuring food safety. Therefore, AOS combined with ISCA-MobileNetV3 will encourage the development of an affordable and on-site platform for maize quality detection.
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Affiliation(s)
- Maozhen Qu
- College of Biosystems Engineering and Food Science, Zhejiang University, China
| | - Yingchao He
- College of Biosystems Engineering and Food Science, Zhejiang University, China
| | - Weidong Xu
- College of Biosystems Engineering and Food Science, Zhejiang University, China
| | - Da Liu
- College of Biosystems Engineering and Food Science, Zhejiang University, China
| | - Changqing An
- College of Biosystems Engineering and Food Science, Zhejiang University, China
| | - Shanming Liu
- School of Mechanical and Aerospace Engineering, Jilin University, China
| | - Guang Liu
- College of Mechanical Engineering, Xinjiang University, China
| | - Fang Cheng
- College of Biosystems Engineering and Food Science, Zhejiang University, China.
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3
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Ma C, Nie H, Liu LX, Wang FR, Chen Y, Zhang W, Liu YG. Gas chromatography-ion mobility spectrometry (GC-IMS) technique and its recent applications in grain research. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2024. [PMID: 38817147 DOI: 10.1002/jsfa.13622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 12/08/2023] [Accepted: 04/16/2024] [Indexed: 06/01/2024]
Abstract
Grains are the primary source of food for most people worldwide and constitute a major source of carbohydrates. Many novel technologies are being employed to ensure the safety and reliability of grain supply and production. Gas chromatography-ion mobility spectrometry (GC-IMS) can effectively separate and sensitively detect volatile organic compounds. It possesses advantages such as speed, convenience, high sensitivity, no pretreatment, and wide applicability. In recent years, many studies have shown that the application of GC-IMS technology for grain flavor analysis can play a crucial role in grains. This article elucidates the working principle of GC-IMS technology, reviews the application of GC-IMS in grains in the past 5 years. GC-IMS technology is mainly applied in four aspects in grains. In grain classification, it distinguishes varieties, quality, origin, production year, and processing methods based on the trace differences in volatile organic compounds, thereby fulfilling various grain classification requirements such as origin tracing, geographical indication product recognition, variety identification, production year identification, and detection of counterfeit and inferior grain samples. In optimizing the processing technology of grains and their products, it can improve food flavor, reduce undesirable flavors, and identify better processing parameters. In grain storage, it can determine the storage time, detect spoilage phenomena such as mold and discoloration during storage, eliminate pests affecting storage, and predict the vitality of seeds after storage. In aroma evaluation of grains and their processed products, it can assess the impact of new raw materials, new technologies, fermentation processes, and even oral processing on the quality of grain products. This article also summarizes the characteristics of GC-IMS technology, compiles typical grain flavor compounds, and provides prospects for the future application of GC-IMS. © 2024 Society of Chemical Industry.
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Affiliation(s)
- Chao Ma
- College of Life Sciences, Linyi University, Linyi, China
- Center for International Education, Philippine Christian University, Manila, Philippines
| | - Honglei Nie
- Linyi Inspection and Testing Center, Linyi, China
| | - Ling-Xiao Liu
- College of Life Sciences, Linyi University, Linyi, China
- Linyi Academy of Agricultural Sciences, Linyi, China
| | - Fu-Rong Wang
- No 1 Middle School of Linyi Shandong, Linyi, China
| | - Yingjie Chen
- Linyi Inspection and Testing Center, Linyi, China
| | - Wenmeng Zhang
- Linyi Vocational University of Science and Technology, Linyi, China
| | - Yun-Guo Liu
- College of Life Sciences, Linyi University, Linyi, China
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Zhao L, Li H, Liu Z, Hu L, Xu D, Zhu X, Mo H. Quality Changes and Fungal Microbiota Dynamics in Stored Jujube Fruits: Insights from High-Throughput Sequencing for Food Preservation. Foods 2024; 13:1473. [PMID: 38790773 PMCID: PMC11120314 DOI: 10.3390/foods13101473] [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: 03/23/2024] [Revised: 05/06/2024] [Accepted: 05/08/2024] [Indexed: 05/26/2024] Open
Abstract
Postharvest rot is an urgent problem affecting the storage of winter jujube. Therefore, the development of new technologies for efficient and safe preservation is very important. This study aimed to elucidate the fungal microbiota found on the epidermis of jujube during the storage period using high-throughput sequencing, as well as to monitor the changes in quality indexes throughout this period. Through internal transcribed spacer (ITS) sequencing, we identified two phyla (Basidiomycota and Ascomycota) and six genera (Cryptococcus, Bulleromyces, Sporidiobolus, Alternaria, Pseudozyma, and Sporobolomyces), which potentially contribute to the spoilage and deterioration of jujube, referred to as "core fungal taxa". A high correlation was further found between preservation indices (including decay rate, firmness, and total soluble solids) and the growth of multiple core fungi over time. These findings will provide insights and a theoretical basis for further research on preservation techniques related to biological control during date fruit storage.
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Affiliation(s)
- Lili Zhao
- School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (L.Z.); (Z.L.); (L.H.); (D.X.); (X.Z.); (H.M.)
| | - Hongbo Li
- School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (L.Z.); (Z.L.); (L.H.); (D.X.); (X.Z.); (H.M.)
| | - Zhenbin Liu
- School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (L.Z.); (Z.L.); (L.H.); (D.X.); (X.Z.); (H.M.)
- College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China
| | - Liangbin Hu
- School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (L.Z.); (Z.L.); (L.H.); (D.X.); (X.Z.); (H.M.)
| | - Dan Xu
- School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (L.Z.); (Z.L.); (L.H.); (D.X.); (X.Z.); (H.M.)
| | - Xiaolin Zhu
- School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (L.Z.); (Z.L.); (L.H.); (D.X.); (X.Z.); (H.M.)
- College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China
| | - Haizhen Mo
- School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (L.Z.); (Z.L.); (L.H.); (D.X.); (X.Z.); (H.M.)
- College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China
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Li H, Zhao X, Qin S, Li J, Tang D, Xi B. GC-IMS and multivariate analyses of volatile organic components in different Chinese breeds of chickens. Heliyon 2024; 10:e29664. [PMID: 38655366 PMCID: PMC11035028 DOI: 10.1016/j.heliyon.2024.e29664] [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: 04/06/2024] [Revised: 04/11/2024] [Accepted: 04/12/2024] [Indexed: 04/26/2024] Open
Abstract
This study examined the difference in volatile flavor characteristics among four different local breeds of chicken by headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS) combined with multivariate analysis. In total, 65 volatile organic compounds (VOCs) were identified (17 aldehydes, 12 alcohols, 7 ketones, 5 esters, 2 acids, and 22 unidentified, i.e., 26.15% aldehydes, 18.46% alcohols, 10.77% ketones, 7.69% esters, 3.08% acids, and 33.84% unidentified), of which 43 were annotated. The chicken meats from the four breeds exhibited good separation in topographic plots, VOC fingerprinting, and multivariate analysis. Meanwhile, 20 different volatile components, with variable importance in projection value > 1, were selected as potential markers to distinguish different breeds of chicken by partial least squares discriminant analysis (PLS-DA). These findings provide insights into the flavor traits of chicken meat. Also, HS-GC-IMS combined with multivariate analysis can be a convenient and powerful method for characterizing different meats.
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Affiliation(s)
- Hongqiang Li
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China
| | - Xiangmin Zhao
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China
| | - Shizhen Qin
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China
| | - Jinlu Li
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China
| | - Defu Tang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China
| | - Bin Xi
- Laboratory of Quality & Safety Risk Assessment for Livestock Products of Ministry of Agriculture, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
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Dubal ÍTP, Coradi PC, Dos Santos Bilhalva N, Biduski B, Lutz É, Mallmann CA, Anschau KF, Flores EMM. Monitoring of carbon dioxide and equilibrium moisture content for early detection of physicochemical and morphological changes in soybeans stored in vertical silos. Food Chem 2024; 436:137721. [PMID: 37864969 DOI: 10.1016/j.foodchem.2023.137721] [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: 06/11/2023] [Revised: 10/05/2023] [Accepted: 10/08/2023] [Indexed: 10/23/2023]
Abstract
In the context of grain storage, impurities and soybeans defects in soybeans can significantly impact the equilibrium moisture content. This, cause moisture migration and heating of the stored product, leading to increased respiratory activity. Furthermore, temperature measurements within stored grain mass do not provide sufficient information for effective grain quality monitoring, primarily due to the grains excellent thermal insulating properties. To address this issue, we propose a different approach: monitoring the equilibrium moisture content and CO2 concentration as indicators of soybean respiration within the intergranular spaces of the stored grain mass. This study propose monitoring the CO2 concentration in the intergranular air along with environmental variables for early detection of physicochemical and morphological changes in soybeans stored in vertical silos using near infrared spectroscopy, X-ray diffraction and scanning electron microscopy. Thermogravimetry and spectrometry analyses revealed that the interrelationships among variables had a direct impact on soybean quality attributes. Specifically, the presence of soybeans with 5.2 % impurities led to an increased in respiration rates, resulting in a CO2 concentration of up to 5000 ppm and the consumption of up to 3.6 % of dry matter. Consequently, there were changes in the percentage of ash, proteins, fibers, and oils compositions. These findings highlight the potential for indirect assessments, enabling the prediction of physicochemical quality and contamination of soybeans stored in vertical silos through continuous monitoring of CO2 concentration and equilibrium moisture content.
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Affiliation(s)
- Ítala Thaisa Padilha Dubal
- Department Agricultural Engineering, Rural Sciences Center, Federal University of Santa Maria, 97105-900 Santa Maria, Rio Grande do Sul, Brazil
| | - Paulo Carteri Coradi
- Department Agricultural Engineering, Rural Sciences Center, Federal University of Santa Maria, 97105-900 Santa Maria, Rio Grande do Sul, Brazil; Laboratory of Postharvest (LAPOS), Campus Cachoeira do Sul, Federal University of Santa Maria, 96506-322 Cachoeira do Sul, Rio Grande do Sul, Brazil.
| | - Nairiane Dos Santos Bilhalva
- Department Agricultural Engineering, Rural Sciences Center, Federal University of Santa Maria, 97105-900 Santa Maria, Rio Grande do Sul, Brazil
| | - Bárbara Biduski
- Food Quality and Sensory Science Department, Teagasc Food Research Centre Ashtown, Dublin City D15 KN3K, Ireland
| | - Éverton Lutz
- Department Agricultural Engineering, Rural Sciences Center, Federal University of Santa Maria, 97105-900 Santa Maria, Rio Grande do Sul, Brazil
| | - Carlos Augusto Mallmann
- Laboratory of Mycotoxicological Analyses (LAMIC), Federal University of Santa Maria, 97105-970, Santa Maria, Rio Grande do Sul, Brazil
| | - Kellen Francine Anschau
- Department of Chemical Engineering, Federal University of Santa Maria, 97105-900 Santa Maria, Rio Grande do Sul, Brazil
| | - Erico Marlon Moraes Flores
- Department of Chemical Engineering, Federal University of Santa Maria, 97105-900 Santa Maria, Rio Grande do Sul, Brazil
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Okechukwu VO, Adelusi OA, Kappo AP, Njobeh PB, Mamo MA. Aflatoxins: Occurrence, biosynthesis, mechanism of action and effects, conventional/emerging detection techniques. Food Chem 2024; 436:137775. [PMID: 37866099 DOI: 10.1016/j.foodchem.2023.137775] [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: 04/06/2023] [Revised: 10/11/2023] [Accepted: 10/14/2023] [Indexed: 10/24/2023]
Abstract
Aflatoxins (AFs) are toxic secondary metabolites prevalent in various food and agricultural products, posing significant challenges to global food safety. The detection and quantification of AFs through high-precision analytical techniques are crucial in mitigating AF contamination levels and associated health risks. Variousmethods,including conventional and emerging techniques, have been developed for detecting and quantifyingAFsinfood samples. This review provides an in-depth analysis of the global occurrence of AF in food commodities, covering their biosynthesis, mode of action, and effects on humans and animals. Additionally, the review discusses different conventional strategies, including chromatographic and immunochemical approaches, for AF quantification and identification in food samples. Furthermore, emerging AF detection strategies, such as solid-state gas sensors and electronic nose technologies, along with their applications, limitations, and future perspectives, were reviewed. Sample purification, along with their respective advantages and limitations, are also discussed herein.
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Affiliation(s)
- Viola O Okechukwu
- Department of Biochemistry, Auckland Park Kingsway Campus, University of Johannesburg, South Africa
| | - Oluwasola A Adelusi
- Department of Biotechnology and Food Technology, PO Box 17011, Doornfontein Campus, University of Johannesburg, South Africa
| | - Abidemi P Kappo
- Department of Biochemistry, Auckland Park Kingsway Campus, University of Johannesburg, South Africa
| | - Patrick B Njobeh
- Department of Biotechnology and Food Technology, PO Box 17011, Doornfontein Campus, University of Johannesburg, South Africa
| | - Messai A Mamo
- Department of Chemical Sciences, PO Box 2028, Doornfontein Campus, University of Johannesburg, South Africa.
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Tan S, Ma F, Wu Y, Xu Y, Niu A, Chen Y, Wang G, Qiu W. The biodiversity of Aspergillus flavus in stored rice grain leads to a decrease in the overall aflatoxin B 1 production in these species. Int J Food Microbiol 2023; 406:110416. [PMID: 37769398 DOI: 10.1016/j.ijfoodmicro.2023.110416] [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: 07/02/2023] [Revised: 09/11/2023] [Accepted: 09/22/2023] [Indexed: 09/30/2023]
Abstract
Aspergillus flavus is a significant fungus that poses a threat to food safety by producing mycotoxins in various crops. In this study, A. flavus isolates were obtained from storage rice collected from seven provinces in southern China, and their AFB1 production, biosynthesis genes presence, and diversity were detected. Results showed that 56 out of the 81 A. flavus isolates produced detectable levels of AFB1, and 71 isolates (87.6 %) possessed aflR gene in their AF synthesis gene cluster, while only 41 isolates (50.6 %) had the ver-1 gene present. Genetic diversity analysis using inter-simple sequence repeats (ISSR) markers revealed seven main clusters among the isolates and the genetic similarity coefficients of 81 A. flavus isolates ranged from 0.53 to 1.00. Additionally, coculture assays were conducted using two toxigenic and two atoxigenic isolates from the same grain depot to investigate the effect of intraspecific inhibition on AFB1 production and to assess the AFB1 contamination risk of storage rice. The in situ results demonstrated that the atoxigenic isolates effectively inhibited the AFB1 contamination of toxigenic isolates. These findings provide insight into the genetic diversity of A. flavus isolates populations and highlight the potential food safety hazards of them in stored rice grain in China.
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Affiliation(s)
- Song Tan
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China; Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing University of Finance and Economics, Nanjing 210023, China; Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing 210023, China
| | - Fang Ma
- Institute of Veterinary Immunology & Engineering, National Research Center of Engineering and Technology for Veterinary Biologicals, Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base, Ministry of Science and Technology, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
| | - Yajie Wu
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China; Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing University of Finance and Economics, Nanjing 210023, China; Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing 210023, China
| | - Yuancheng Xu
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China; Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing University of Finance and Economics, Nanjing 210023, China; Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing 210023, China
| | - Ajuan Niu
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China; Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing University of Finance and Economics, Nanjing 210023, China; Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing 210023, China
| | - Yuping Chen
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China; Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing University of Finance and Economics, Nanjing 210023, China; Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing 210023, China
| | - Guangyu Wang
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China; Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing University of Finance and Economics, Nanjing 210023, China; Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing 210023, China.
| | - Weifen Qiu
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China; Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing University of Finance and Economics, Nanjing 210023, China; Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing 210023, China
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Hu S, Li K, Zhang X, Yang C, Zhang R, Guo H. The Impact of the Foliar Application of Amino Acid Aqueous Fertilizer on the Flavor of Potato Tubers. Foods 2023; 12:3951. [PMID: 37959069 PMCID: PMC10649066 DOI: 10.3390/foods12213951] [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: 09/20/2023] [Revised: 10/18/2023] [Accepted: 10/24/2023] [Indexed: 11/15/2023] Open
Abstract
The quality of the flavor of potatoes is a crucial determinant in the commercial success of a potato variety. Plant nutrition promotes the synthesis of amino acids, and the application of exogenous amino acids has the potential to enhance the flavor quality of potatoes. In this experiment, Dian Shu 1418 and Dian Shu 23 were used as the materials, and different amino acid foliar spray trials were designed. The free amino acid content in potato tubers is determined based on high-performance liquid chromatography, and volatile tuber flavor compounds are detected using gas chromatography-mass spectrometry. The results showed that the amino acid foliar spray effectively increased the content of glycine, methionine, and phenylalanine in the tubers, subsequently increasing the levels of 2,3-dimethyl-pyrazine and 2-ethyl-3-methyl-pyrazine, enhancing the roasted fragrance characteristics of the potatoes. The experimental results provide a reference for cultivating flavor enhancement in potato tubers.
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Affiliation(s)
- Songhe Hu
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650201, China; (S.H.); (K.L.); (X.Z.); (C.Y.); (R.Z.)
- Yunnan Engineering Research Center of Tuber and Root Crop Bio-Breeding and Healthy Seed Propagation, Yunnan Agricultural University, Kunming 650201, China
- Tuber and Root Crop Institute, Yunnan Agricultural University, Kunming 650201, China
| | - Kaifeng Li
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650201, China; (S.H.); (K.L.); (X.Z.); (C.Y.); (R.Z.)
- Yunnan Engineering Research Center of Tuber and Root Crop Bio-Breeding and Healthy Seed Propagation, Yunnan Agricultural University, Kunming 650201, China
- Tuber and Root Crop Institute, Yunnan Agricultural University, Kunming 650201, China
| | - Xing Zhang
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650201, China; (S.H.); (K.L.); (X.Z.); (C.Y.); (R.Z.)
- Yunnan Engineering Research Center of Tuber and Root Crop Bio-Breeding and Healthy Seed Propagation, Yunnan Agricultural University, Kunming 650201, China
- Tuber and Root Crop Institute, Yunnan Agricultural University, Kunming 650201, China
| | - Changwei Yang
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650201, China; (S.H.); (K.L.); (X.Z.); (C.Y.); (R.Z.)
- Yunnan Engineering Research Center of Tuber and Root Crop Bio-Breeding and Healthy Seed Propagation, Yunnan Agricultural University, Kunming 650201, China
- Tuber and Root Crop Institute, Yunnan Agricultural University, Kunming 650201, China
| | - Rui Zhang
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650201, China; (S.H.); (K.L.); (X.Z.); (C.Y.); (R.Z.)
- Yunnan Engineering Research Center of Tuber and Root Crop Bio-Breeding and Healthy Seed Propagation, Yunnan Agricultural University, Kunming 650201, China
- Tuber and Root Crop Institute, Yunnan Agricultural University, Kunming 650201, China
| | - Huachun Guo
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650201, China; (S.H.); (K.L.); (X.Z.); (C.Y.); (R.Z.)
- Yunnan Engineering Research Center of Tuber and Root Crop Bio-Breeding and Healthy Seed Propagation, Yunnan Agricultural University, Kunming 650201, China
- Tuber and Root Crop Institute, Yunnan Agricultural University, Kunming 650201, China
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Li N, Xu L, Li H, Liu Z, Mo H, Wu Y. UPLC-Q-Exactive Orbitrap-MS-Based Untargeted Lipidomic Analysis of Lipid Molecular Species in Spinal Cords from Different Domesticated Animals. Foods 2023; 12:3634. [PMID: 37835287 PMCID: PMC10572684 DOI: 10.3390/foods12193634] [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: 08/21/2023] [Revised: 09/25/2023] [Accepted: 09/28/2023] [Indexed: 10/15/2023] Open
Abstract
Lipids are crucial components for the maintenance oof normal structure and function in the nervous system. Elucidating the diversity of lipids in spinal cords may contribute to our understanding of neurodevelopment. This study comprehensively analyzed the fatty acid (FA) compositions and lipidomes of the spinal cords of eight domesticated animal species: pig, cattle, yak, goat, horse, donkey, camel, and sika deer. Gas chromatography-mass spectrometry (GC-MS) analysis revealed that saturated fatty acids (SFAs) and monounsaturated fatty acids (MUFAs) were the primary FAs in the spinal cords of these domesticated animals, accounting for 72.54-94.23% of total FAs. Notably, oleic acid, stearic acid and palmitic acid emerged as the most abundant FA species. Moreover, untargeted lipidomics by UPLC-Q-Exactive Orbitrap-MS demonstrated that five lipid classes, including glycerophospholipids (GPs), sphingolipids (SPs), glycerolipids (GLs), FAs and saccharolipids (SLs), were identified in the investigated spinal cords, with phosphatidylcholine (PC) being the most abundant among all identified lipid classes. Furthermore, canonical correlation analysis showed that PC, PE, TAG, HexCer-NS and SM were significantly associated with genome sequence data. These informative data provide insight into the structure and function of mammalian nervous tissues and represent a novel contribution to lipidomics.
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Affiliation(s)
- Na Li
- College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China;
- School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (H.L.); (Z.L.); (H.M.)
| | - Long Xu
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou 450002, China;
| | - Hongbo Li
- School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (H.L.); (Z.L.); (H.M.)
| | - Zhenbin Liu
- School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (H.L.); (Z.L.); (H.M.)
| | - Haizhen Mo
- School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (H.L.); (Z.L.); (H.M.)
| | - Yue Wu
- College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China;
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11
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Cejudo C, Ferreiro M, Romera I, Casas L, Mantell C. Functional, Physical, and Volatile Characterization of Chitosan/Starch Food Films Functionalized with Mango Leaf Extract. Foods 2023; 12:2977. [PMID: 37569246 PMCID: PMC10418412 DOI: 10.3390/foods12152977] [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: 07/20/2023] [Revised: 08/03/2023] [Accepted: 08/06/2023] [Indexed: 08/13/2023] Open
Abstract
Active packaging is one of the currently thriving methods to preserve highly perishable foods. Nonetheless, the integration of active substances into the formulation of the packaging may alter their properties-particularly mass transfer properties-and therefore, the active compounds acting. Different formulations of chitosan (CH), starch (ST), and their blends (CH-ST), with the addition of mango leaf extract (MLE) have been polymerized by casting to evaluate their food preservation efficiency. A CH-ST blend with 3% MLE using 7.5 mL of the filmogenic solution proved to be the most effective formulation because of its high bioactivity (ca. 80% and 74% of inhibition growth of S. aureus and E. coli, respectively, and 40% antioxidant capacity). The formulation reduced the water solubility and water vapor permeability while increasing UV protection, properties that provide a better preservation of raspberry fruit after 13 days than the control. Moreover, a novel method of Headspace-Gas Chromatography-Ion Mobility Spectrometry to analyze the volatile profiles of the films is employed, to study the potential modification of the food in contact with the active film. These migrated compounds were shown to be closely related to both the mango extract additions and the film's formulation themselves, showing different fingerprints depending on the film.
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Affiliation(s)
- Cristina Cejudo
- Chemical Engineering and Food Technology Department, Wine and Agrifood Research Institute (IVAGRO), University of Cadiz, Avda. República Saharaui, s/n, 11510 Cadiz, Spain; (C.C.); (I.R.); (C.M.)
| | - Marta Ferreiro
- Analytical Chemistry Department, Wine and Agrifood Research Institute (IVAGRO), University of Cadiz, Avda. República Saharaui, s/n, 11510 Cadiz, Spain
| | - Irene Romera
- Chemical Engineering and Food Technology Department, Wine and Agrifood Research Institute (IVAGRO), University of Cadiz, Avda. República Saharaui, s/n, 11510 Cadiz, Spain; (C.C.); (I.R.); (C.M.)
| | - Lourdes Casas
- Chemical Engineering and Food Technology Department, Wine and Agrifood Research Institute (IVAGRO), University of Cadiz, Avda. República Saharaui, s/n, 11510 Cadiz, Spain; (C.C.); (I.R.); (C.M.)
| | - Casimiro Mantell
- Chemical Engineering and Food Technology Department, Wine and Agrifood Research Institute (IVAGRO), University of Cadiz, Avda. República Saharaui, s/n, 11510 Cadiz, Spain; (C.C.); (I.R.); (C.M.)
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12
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Ma J, Guan Y, Xing F, Eltzov E, Wang Y, Li X, Tai B. Accurate and non-destructive monitoring of mold contamination in foodstuffs based on whole-cell biosensor array coupling with machine-learning prediction models. JOURNAL OF HAZARDOUS MATERIALS 2023; 449:131030. [PMID: 36827728 DOI: 10.1016/j.jhazmat.2023.131030] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 02/15/2023] [Accepted: 02/15/2023] [Indexed: 06/18/2023]
Abstract
Mold contamination in foodstuffs causes huge economic losses, quality deterioration and mycotoxin production. Thus, non-destructive and accurate monitoring of mold occurrence in foodstuffs is highly required. We proposed a novel whole-cell biosensor array to monitor pre-mold events in foodstuffs. Firstly, 3 volatile markers ethyl propionate, 1-methyl-1 H-pyrrole and 2,3-butanediol were identified from pre-mold peanuts using gas chromatography-mass spectrometry. Together with other 3 frequently-reported volatiles from Aspergillus flavus infection, the volatiles at subinhibitory concentrations induced significant but differential response patterns from 14 stress-responsive Escherichia coli promoters. Subsequently, a whole-cell biosensor array based on the 14 promoters was constructed after whole-cell immobilization in calcium alginate. To discriminate the response patterns of the whole-cell biosensor array to mold-contaminated foodstuffs, optimal classifiers were determined by comparing 6 machine-learning algorithms. 100 % accuracy was achieved to discriminate healthy from moldy peanuts and maize, and 95 % and 98 % accuracy in discriminating pre-mold stages for infected peanuts and maize, based on random forest classifiers. 83 % accuracy was obtained to separate moldy peanuts from moldy maize by sparse partial least square determination analysis. The results demonstrated high accuracy and practicality of our method based on a whole-cell biosensor array coupling with machine-learning classifiers for mold monitoring in foodstuffs.
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Affiliation(s)
- Junning Ma
- Key Laboratory of Agro-Products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs / Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Yue Guan
- College of Food Science and Technology, Zhejiang University of Technology, Hangzhou 310014, China
| | - Fuguo Xing
- Key Laboratory of Agro-Products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs / Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Evgeni Eltzov
- Department of Postharvest Science, Institute of Postharvest and Food Sciences, The Volcani Center, Agricultural Research Organization, Bet Dagan 50250, Israel
| | - Yan Wang
- College of Food Science and Technology, Zhejiang University of Technology, Hangzhou 310014, China
| | - Xu Li
- Key Laboratory of Agro-Products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs / Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Bowen Tai
- Key Laboratory of Agro-Products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs / Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China
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13
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Fan M, Rakotondrabe TF, Chen G, Guo M. Advances in microbial analysis: based on volatile organic compounds of microorganisms in food. Food Chem 2023; 418:135950. [PMID: 36989642 DOI: 10.1016/j.foodchem.2023.135950] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 12/30/2022] [Accepted: 03/11/2023] [Indexed: 03/17/2023]
Abstract
In recent years, microbial volatile organic compounds (mVOCs) produced by microbial metabolism have attracted more and more attention because they can be used to detect food early contamination and flaws. So far, many analytical methods have been reported for the determination of mVOCs in food, but few integrated review articles discussing these methods are published. Consequently, mVOCs as indicators of food microbiological contamination and their generation mechanism including carbohydrate, amino acid, and fatty acid metabolism are introduced. Meanwhile, a detailed summary of the mVOCs sampling methods such as headspace, purge trap, solid phase microextraction, and needle trap is presented, and a systematic and critical review of the analytical methods (ion mobility spectrometry, electronic nose, biosensor, and so on) of mVOCs and their application in the detection of food microbial contamination is highlighted. Finally, the future concepts that can help improve the detection of food mVOCs are prospected.
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Affiliation(s)
- Minxia Fan
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China.
| | - Tojofaniry Fabien Rakotondrabe
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Guilin Chen
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Mingquan Guo
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
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14
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Variation with In Vitro Analysis of Volatile Profiles among Aspergillus flavus Strains from Louisiana. SEPARATIONS 2023. [DOI: 10.3390/separations10030157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023] Open
Abstract
Volatile organic compounds (VOCs) produced by A. flavus strains were first captured and identified to discern between non-aflatoxigenic and toxigenic phenotypes, and more recently to help with detecting fungal infection, but not with the goal of using VOCs produced by non-aflatoxigenic strains to inhibit growth and/or production of one or more mycotoxins (e.g., aflatoxin and cyclopiazonic acid) by toxigenic aspergilli. In this study, four Aspergillus strains from Louisiana (one non-aflatoxigenic and three toxigenic) were grown on various substrates and had their headspaces captured and analyzed by solid-phase microextraction/gas chromatography/mass spectroscopy (SPME/GC/MS), to find biocontrol and biomarker compounds. Here, we present a collection of nearly 100 fungus-related VOCs, many of which were substrate dependent. Thirty-one were produced across multiple replicates and the rest were observed in a single replicate. At least three VOCs unique to non-aflatoxigenic strain LA1 can be tested for biocontrol properties (e.g., euparone, 4-nonyne), and at least four VOCs unique to toxigenic strains LA2-LA4 can be explored as biomarkers (e.g., 2-heptanone, glycocyamidine) to detect their presence while infecting crops in the field or in storage.
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15
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Cheli F, Ottoboni M, Fumagalli F, Mazzoleni S, Ferrari L, Pinotti L. E-Nose Technology for Mycotoxin Detection in Feed: Ready for a Real Context in Field Application or Still an Emerging Technology? Toxins (Basel) 2023; 15:146. [PMID: 36828460 PMCID: PMC9958648 DOI: 10.3390/toxins15020146] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 01/17/2023] [Accepted: 02/04/2023] [Indexed: 02/16/2023] Open
Abstract
Mycotoxin risk in the feed supply chain poses a concern to animal and human health, economy, and international trade of agri-food commodities. Mycotoxin contamination in feed and food is unavoidable and unpredictable. Therefore, monitoring and control are the critical points. Effective and rapid methods for mycotoxin detection, at the levels set by the regulations, are needed for an efficient mycotoxin management. This review provides an overview of the use of the electronic nose (e-nose) as an effective tool for rapid mycotoxin detection and management of the mycotoxin risk at feed business level. E-nose has a high discrimination accuracy between non-contaminated and single-mycotoxin-contaminated grain. However, the predictive accuracy of e-nose is still limited and unsuitable for in-field application, where mycotoxin co-contamination occurs. Further research needs to be focused on the sensor materials, data analysis, pattern recognition systems, and a better understanding of the needs of the feed industry for a safety and quality management of the feed supply chain. A universal e-nose for mycotoxin detection is not realistic; a unique e-nose must be designed for each specific application. Robust and suitable e-nose method and advancements in signal processing algorithms must be validated for specific needs.
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Affiliation(s)
- Federica Cheli
- Department of Veterinary Medicine and Animal Science, University of Milan, 26900 Lodi, Italy
- CRC I-WE (Coordinating Research Centre: Innovation for Well-Being and Environment), University of Milan, 20100 Milan, Italy
| | - Matteo Ottoboni
- Department of Veterinary Medicine and Animal Science, University of Milan, 26900 Lodi, Italy
| | - Francesca Fumagalli
- Department of Veterinary Medicine and Animal Science, University of Milan, 26900 Lodi, Italy
| | - Sharon Mazzoleni
- Department of Veterinary Medicine and Animal Science, University of Milan, 26900 Lodi, Italy
| | - Luca Ferrari
- Department of Veterinary Medicine and Animal Science, University of Milan, 26900 Lodi, Italy
| | - Luciano Pinotti
- Department of Veterinary Medicine and Animal Science, University of Milan, 26900 Lodi, Italy
- CRC I-WE (Coordinating Research Centre: Innovation for Well-Being and Environment), University of Milan, 20100 Milan, Italy
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16
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Ji J, Huang H, Li L, Ye J, Sun J, Sheng L, Ye Y, Zheng Y, Zhang Z, Sun X. Volatile Metabolite Profiling of Wheat Kernels Contaminated by Fusarium graminearum. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 71:3508-3517. [PMID: 36576334 DOI: 10.1021/acs.jafc.2c06711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Traditional methods used to detect fungi or mycotoxins are time-consuming and prevent real-time monitoring. In this study, solid-phase microextraction combined with full two-dimensional gas chromatography time-of-flight mass spectrometry was utilized to detect volatile organic compounds (VOCs) produced by fungi during grain infestation predictive F. graminearum PH-1 infestation in wheat. The results show that the VOCs emitted by F. graminearum can distinguish strains at different growth stages. The growth matrices (potato dextrose agar medium and wheat kernels) play a large role in VOC production. The infection of wheat sample F. graminearum showed that a specific relationship between VOCs and the composition of fungal flora, for example, 5-pentyl-cyclohexa-1,3-diene, 3-hexanone, and 1,3-octadiene, was positively correlated with the infection rate of PH-1. In the correlation study of fungal mycotoxins and VOCs, zearalenone produced by F. graminearum was predicted based on the VOCs released. Further analysis determined the correlation of three VOCs, 6-butyl-1,4-cycloheptadiene, hexahydro-3-methylenebenzofuran-2(3H)-one, and (E,E)-3,5-octadien-2-one, with zearalenone production, confirming the ability of VOCs as characteristic markers of mycotoxins.
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Affiliation(s)
- Jian Ji
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Collaborative Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu 214122, China
- College of Food Science and Pharmacy, Xinjiang Agricultural University, No. 311 Nongda Dong Road, Ürümqi, Xinjiang Uygur Autonomous Region, 830052, P. R. China
| | - Heyang Huang
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Collaborative Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Li Li
- LECO Instruments (Shanghai) Company Limited, Shanghai 200000, P. R. China
| | - Jin Ye
- Academy of National Food and Strategic Reserves Administration, No.11 Baiwanzhuang Str, Xicheng District, Beijing 100037, P. R. China
| | - Jiadi Sun
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Collaborative Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Lina Sheng
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Collaborative Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Yongli Ye
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Collaborative Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Yi Zheng
- Key Laboratory for High-Tech Research and Development of Veterinary Biopharmaceuticals, Jiangsu Agri-Animal Husbandry Vocational College, Taizhou 225300, China
| | - Zhijie Zhang
- LECO Instruments (Shanghai) Company Limited, Shanghai 200000, P. R. China
| | - Xiulan Sun
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Collaborative Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu 214122, China
- Yixing Institute of Food and Biotechnology Co., Ltd, Yixing 214200, China
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17
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Li H, Xi B, Yang X, Wang H, He X, Li W, Gao Y. Evaluation of change in quality indices and volatile flavor components in raw milk during refrigerated storage. Lebensm Wiss Technol 2022. [DOI: 10.1016/j.lwt.2022.113674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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18
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Statistics and analyses of food safety inspection data and mining early warning information based on chemical hazards. Lebensm Wiss Technol 2022. [DOI: 10.1016/j.lwt.2022.113746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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19
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Liu M, Zhao X, Zhao M, Liu X, Pang Y, Zhang M. Characterization of the Key Aroma Constituents in Fried Tilapia through the Sensorics Concept. Foods 2022; 11:foods11040494. [PMID: 35205971 PMCID: PMC8870898 DOI: 10.3390/foods11040494] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 01/18/2022] [Accepted: 01/24/2022] [Indexed: 02/05/2023] Open
Abstract
The object of this study was tilapia fish that were fried in soybean oil. Volatile compounds were extracted from the fish by ASE-HVE and were studied by GC-O-MS and the AEDA analysis method. A total of 30 aroma compounds were initially determined, and these compounds contribute to the aroma of fried tilapias. The key volatile compounds in fried tilapia were quantitatively analyzed by GC-MS, and the volatile compounds in soybean-fried tilapia were studied by flavor recombination and deletion experiments. Trimethylamine, hexanal, 2,3-dimethylpyrazine, dimethyl trisulfide, trans-2-octenal, 2,3-dimethyl-5-ethylpyrazine, (E)-2-nonenal, 2-propyl-pyridine, and (E,E)-2,4-decadienal were finally determined to be the key volatile compounds in soybean-fried tilapia.
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Affiliation(s)
- Mingyuan Liu
- Department of Food Science, Guangxi University, No. 100, Daxue Road, Nanning 530004, China; (M.L.); (X.Z.); (M.Z.); (Y.P.); (M.Z.)
| | - Xiaoying Zhao
- Department of Food Science, Guangxi University, No. 100, Daxue Road, Nanning 530004, China; (M.L.); (X.Z.); (M.Z.); (Y.P.); (M.Z.)
| | - Mouming Zhao
- Department of Food Science, Guangxi University, No. 100, Daxue Road, Nanning 530004, China; (M.L.); (X.Z.); (M.Z.); (Y.P.); (M.Z.)
- College of Light Industry and Food Sciences, South China University of Technology, No. 381 Wushan Road, Guangzhou 510640, China
| | - Xiaoling Liu
- Department of Food Science, Guangxi University, No. 100, Daxue Road, Nanning 530004, China; (M.L.); (X.Z.); (M.Z.); (Y.P.); (M.Z.)
- Correspondence:
| | - Yiyang Pang
- Department of Food Science, Guangxi University, No. 100, Daxue Road, Nanning 530004, China; (M.L.); (X.Z.); (M.Z.); (Y.P.); (M.Z.)
| | - Meishuo Zhang
- Department of Food Science, Guangxi University, No. 100, Daxue Road, Nanning 530004, China; (M.L.); (X.Z.); (M.Z.); (Y.P.); (M.Z.)
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20
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Screening of Bacillus velezensis E2 and the Inhibitory Effect of Its Antifungal Substances on Aspergillus flavus. Foods 2022; 11:foods11020140. [PMID: 35053872 PMCID: PMC8774516 DOI: 10.3390/foods11020140] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 12/15/2021] [Accepted: 12/31/2021] [Indexed: 11/26/2022] Open
Abstract
Aspergilus flavus is the main pathogenic fungus that causes food mold. Effective control of A. flavus contamination is essential to ensure food safety. The lipopeptides (LPs) produced by Bacillus strains have been shown to have an obvious antifungal effect on molds. In this study, an antagonist strain of Bacillus velezensis with obvious antifungal activity against A. flavus was isolated from the surface of healthy rice. Using HPLC-MS analysis, the main components of LPs produced by strain E2 were identified as fengycin and iturins. Further investigations showed that LPs could inhibit the spore germination, and even cause abnormal expansion of hyphae and cell rupture. Transcriptomic analyses showed that some genes, involved in ribosome biogenesis in eukaryotes (NOG1, KRE33) and aflatoxin biosynthesis (aflK, aflR, veA, omtA) pathways in A. flavus were significantly down-regulated by LPs. In conclusion, this study provides novel insights into the cellular and molecular antifungal mechanisms of LPs against grain A. flavus contamination.
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21
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Li H, Ming X, Liu Z, Xu L, Xu D, Hu L, Mo H, Zhou X. Accelerating vinegar aging by combination of ultrasonic and magnetic field assistance. ULTRASONICS SONOCHEMISTRY 2021; 78:105708. [PMID: 34399129 PMCID: PMC8369067 DOI: 10.1016/j.ultsonch.2021.105708] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 07/25/2021] [Accepted: 08/02/2021] [Indexed: 05/12/2023]
Abstract
Most fermented foods need a natural aging process to enrich desired flavours. This process is normally the bottleneck for cost-effective production. Therefore, it is desirable to accelerate the process and obtain products with the same flavour profile. Here, we used physical interventions (ultrasonic field, alternating magnetic field, or combination of both) to assist the aging process with naturally brewed vinegar as a case example. Flavour profiles of different physical-assisted aging process were compared with that of the naturally aged vinegar by using gas-chromatography mass-spectrometry (GC-MS) and electronic nose. Principal component analysis (PCA) and Pearson correlation analyses show that ultrasonic and alternating magnetic fields treatment could accelerate the aging process of vinegar. The highest accelerating aging effect was combination of ultrasonic and magnetic field followed by individual ultrasonic or magnetic field and natural process (combination of ultrasonic and magnetic field > ultrasonic or magnetic field individual > natural process). These results suggest that physical field intervention could potentially be used for acceleration of aging of fermented products without affecting flavour quality.
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Affiliation(s)
- Hongbo Li
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China
| | - Xujia Ming
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China
| | - Zhenbin Liu
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China
| | - Long Xu
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou 450002, China
| | - Dan Xu
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China
| | - Liangbin Hu
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China
| | - Haizhen Mo
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
| | - Xiaohui Zhou
- Department of Pathobiology & Veterinary Science, University of Connecticut, Connecticut 06269, USA
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22
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HS-GC-IMS with PCA to analyze volatile flavor compounds of honey peach packaged with different preservation methods during storage. Lebensm Wiss Technol 2021. [DOI: 10.1016/j.lwt.2021.111963] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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23
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Lin M, Chen J, Wu D, Chen K. Volatile Profile and Biosynthesis of Post-harvest Apples are Affected by the Mechanical Damage. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2021; 69:9716-9724. [PMID: 34375116 DOI: 10.1021/acs.jafc.1c03532] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Mechanical damage to fruit causes flavor changes during post-harvest supply chains. It is important to identify the main volatiles and explore their biosynthesis mechanism. In this study, the volatile changes in apples caused by mechanical damage were analyzed by gas chromatography-ion mobility spectrometry. Hexanal and ethyl acetate were accumulated and identified as potential volatile biomarkers to detect damaged apples. The study on the lipoxygenase (LOX) pathway and transcription factors (TFs) shows that mechanical damage up-regulated the expression of MdLOX-like, MdLOX3b, MdLOX7b, MdLOX7c, MdLOX2a, and MdAAT in the LOX pathway and that of one MYB TF (MdMYB-like), five ERF TFs (MdERF073, MdERF003, MdERF114, MdERF15, and MdERF2), and five WRKY TFs (MdWRKY23, MdWRKY17, MdWRKY46, MdWRKY48, and MdWRKY71). Notably, MdAAT was significantly correlated to MdMYB-like, MdWRKY23, MdWRKY71, MdERF15, and MdERF2. Thus, TFs may attribute to the accumulation of hexanal and ethyl acetate by regulating the expression of LOX pathway-related genes.
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Affiliation(s)
- Menghua Lin
- College of Agriculture & Biotechnology/Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology/The State Agriculture Ministry Laboratory of Horticultural Plant Growth, Development and Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou 310058, P. R. China
| | - Jiahui Chen
- College of Agriculture & Biotechnology/Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology/The State Agriculture Ministry Laboratory of Horticultural Plant Growth, Development and Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou 310058, P. R. China
| | - Di Wu
- College of Agriculture & Biotechnology/Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology/The State Agriculture Ministry Laboratory of Horticultural Plant Growth, Development and Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou 310058, P. R. China
- Zhejiang University Zhongyuan Institute, Zhengzhou 450000, P. R. China
| | - Kunsong Chen
- College of Agriculture & Biotechnology/Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology/The State Agriculture Ministry Laboratory of Horticultural Plant Growth, Development and Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou 310058, P. R. China
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