1
|
Dhanasekaran S, Liang L, Gurusamy S, Yang Q, Zhang H. Chitosan stabilized lemon essential oil nanoemulsion controls black mold rot and maintains quality of table grapes. Int J Biol Macromol 2024; 277:134251. [PMID: 39084429 DOI: 10.1016/j.ijbiomac.2024.134251] [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: 04/17/2024] [Revised: 07/25/2024] [Accepted: 07/27/2024] [Indexed: 08/02/2024]
Abstract
Aspergillus carbonarius infection leads to black mold rot in table grapes, causes grape decay, reduces fruit quality and marketability, which produces significant economic losses. This study investigated the antifungal efficacy of chitosan-stabilized lemon essential oil nanoemulsion (LO-CNE) against A. carbonarius and black mold rot of table grapes. LO-CNE was prepared with a mean diameter of 130.01 ± 8.34 nm. LO-CNE exhibited superior antifungal activity, reduced spore germination and germ tube elongation, decreased the antioxidant enzyme activities in A. carbonarius; the minimal inhibitory concentration of LO-CNE was determined to be 30 mg/mL. LO-CNE reduced the occurrence of black mold rot by 63 % and lesion diameter by 56.78 % in table grapes compared to the control. At their peak activity level, the grapes treated with LO-CNE exhibited significantly enhanced antioxidant and defense-related enzyme activities. Specifically, polyphenol oxidase activity increased by 2.27-fold, peroxidase activity by 2.22-fold, superoxide dismutase activity by 0.68-fold, catalase activity by 1.61-fold, phenylalanine ammonia-lyase activity by 3.38-fold, and ascorbate peroxidase activity by 2.36-fold. The LO-CNE application reduced natural decay by 95 %, weight loss by 15 % compared to the control, and effectively maintained the quality parameters of table grapes. Therefore, LO-CNE can be considered an alternative disease-control agent for grape preservation.
Collapse
Affiliation(s)
- Solairaj Dhanasekaran
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, People's Republic of China
| | - Lisha Liang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, People's Republic of China
| | - Sivaprakash Gurusamy
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, People's Republic of China
| | - Qiya Yang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, People's Republic of China
| | - Hongyin Zhang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, People's Republic of China.
| |
Collapse
|
2
|
Nuankaew S, Boonyuen N, Thumanu K, Pornputtapong N. Development of a machine learning model for systematics of Aspergillus section Nigri using synchrotron radiation-based fourier transform infrared spectroscopy. Heliyon 2024; 10:e26812. [PMID: 38439823 PMCID: PMC10909729 DOI: 10.1016/j.heliyon.2024.e26812] [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: 07/29/2023] [Revised: 02/01/2024] [Accepted: 02/20/2024] [Indexed: 03/06/2024] Open
Abstract
Aspergillus section Nigri (black aspergilli) fungi are economically important food spoilage agents. Some species in this section also produce harmful mycotoxins in food. However, it is remarkably difficult to identify this fungal group at the species level using morphological and chemical characteristics. The molecular approach for classification is preferable; however, it is time-consuming, making it inappropriate for rapid testing of large numbers of samples. To address this, we explored synchrotron radiation-based Fourier transform infrared microspectroscopy (SR-FTIR) as a rapid method for obtaining data suitable for species classification. SR-FTIR data were obtained from the mycelia/conidia of 22 black aspergilli species. The Convolutional Neural Network (CNN) approach, a supervised deep learning algorithm, was used with SR-FTIR data to classify black aspergilli at the species level. A subset of the data was used to train the CNN model, and the model classification performance was evaluated using the validation data subsets. The model demonstrated a 95.97% accuracy in species classification on the testing (blind) data subset. The technique presented herein could be an alternative method for identifying problematic black aspergilli in the food industry.
Collapse
Affiliation(s)
- Salilaporn Nuankaew
- Department of Biochemistry and Microbiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, 10330, Thailand
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, 12120, Thailand
| | - Nattawut Boonyuen
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, 12120, Thailand
| | - Kanjana Thumanu
- Synchrotron Light Research Institute (SLRI), Nakhon Ratchasima, 30000, Thailand
| | - Natapol Pornputtapong
- Department of Biochemistry and Microbiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, 10330, Thailand
- Center of Excellence in DNA Barcoding of Thai Medicinal Plants, Chulalongkorn University, Bangkok, 10330, Thailand
| |
Collapse
|
3
|
Ding L, Han M, Wang X, Guo Y. Ochratoxin A: Overview of Prevention, Removal, and Detoxification Methods. Toxins (Basel) 2023; 15:565. [PMID: 37755991 PMCID: PMC10534725 DOI: 10.3390/toxins15090565] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 08/26/2023] [Accepted: 09/06/2023] [Indexed: 09/28/2023] Open
Abstract
Ochratoxins are the secondary metabolites of Penicillium and Aspergillus, among which ochratoxin A (OTA) is the most toxic molecule. OTA is widely found in food and agricultural products. Due to its severe nephrotoxicity, immunotoxicity, neurotoxicity, and teratogenic mutagenesis, it is essential to develop effective, economical, and environmentally friendly methods for OTA decontamination and detoxification. This review mainly summarizes the application of technology in OTA prevention, removal, and detoxification from physical, chemical, and biological aspects, depending on the properties of OTA, and describes the advantages and disadvantages of each method from an objective perspective. Overall, biological methods have the greatest potential to degrade OTA. This review provides some ideas for searching for new strains and degrading enzymes.
Collapse
Affiliation(s)
| | | | | | - Yifei Guo
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 151, Malianwa North Road, Haidian District, Beijing 100193, China; (L.D.); (M.H.); (X.W.)
| |
Collapse
|
4
|
Wang G, Li E, Gallo A, Perrone G, Varga E, Ma J, Yang B, Tai B, Xing F. Impact of environmental factors on ochratoxin A: From natural occurrence to control strategy. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 317:120767. [PMID: 36455768 DOI: 10.1016/j.envpol.2022.120767] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 11/14/2022] [Accepted: 11/25/2022] [Indexed: 06/17/2023]
Abstract
Ochratoxin A (OTA) contamination and the associated issues of food security, food safety and economic loss are widespread throughout the world. The occurrence of OTA depends on ochratoxigenic fungi, foodstuffs and their environment. In this review, natural occurrence and control strategy of OTA, with a focus on the impact of environmental factors, are summarized. First, this manuscript introduces potentially contaminated foodstuffs, including the emerging ones which are not regulated in international legislation. Secondly, it gives an update of native producers based on foodstuffs and OTA biosynthesis. Thirdly, complicated environmental regulation is disassembled into individual factors in order to clarify their regulatory effect and mechanism. Finally, to emphasize control OTA at all stages of foodstuffs from farm to table, strategies used at crop planting, harvest, storage and processing stages are discussed.
Collapse
Affiliation(s)
- Gang Wang
- 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
| | - Erfeng Li
- Horticulture and Landscape College, Tianjin Agricultural University, Tianjin, 300392, China
| | - Antonia Gallo
- Institute of Sciences of Food Production (ISPA), National Research Council (CNR), Lecce, 73100, Italy
| | - Giancarlo Perrone
- Institute of Sciences of Food Production (ISPA), National Research Council (CNR), Bari, 70126, Italy
| | - Elisabeth Varga
- Department of Food Chemistry and Toxicology, University of Vienna, Vienna, 1090, Austria
| | - 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
| | - Bolei Yang
- 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
| | - 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.
| |
Collapse
|
5
|
Giacomini RX, Barnes Rodrigues Cerqueira M, Primel EG, Garda-Buffon J. Monitoring of mycotoxins and pesticides in winemaking. CIÊNCIA E TÉCNICA VITIVINÍCOLA 2023. [DOI: 10.1051/ctv/ctv20233801010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
This study monitored concentrations of both pesticides 2,4-dichlorophenoxyacetic acid (2,4-D) and procymidone, and mycotoxin ochratoxin A (OTA) in stages of the winemaking process. Sampling was carried out in the usual vinification process of red wine in a winery between the steps to obtain must and alcoholic fermentation. The highest transference of contaminants in the process occurred in the crushing step to 2,4-D (100%) and maceration to OTA and procymidone (100%). Removal of contaminants in the winemaking process corresponded to 100%, with a half-life (T1/2) longer for procymidone (216.5 h) and shorter for 2,4-D (38.5 h) and OTA (96 h). The processing factors (PFs) (0) for the contaminants, together with the data obtained, characterize winemaking as a process of reducing mycotoxin and pesticides. Results highlight the importance of fermentation to reduce contaminants and that yeasts promote detoxification
Collapse
|
6
|
Potential of electrolyzed water to inactivate bread and cheese spoilage fungi. Food Res Int 2022; 162:111931. [DOI: 10.1016/j.foodres.2022.111931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 09/06/2022] [Accepted: 09/09/2022] [Indexed: 11/21/2022]
|
7
|
Drishya C, Yoha K, Perumal AB, Moses JA, Anandharamakrishnan C, Balasubramaniam VM. Impact of nonthermal food processing techniques on mycotoxins and their producing fungi. Int J Food Sci Technol 2022. [DOI: 10.1111/ijfs.15444] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- C. Drishya
- Computational Modeling and Nanoscale Processing Unit National Institute of Food Technology, Entrepreneurship and Management ‐ Thanjavur, Ministry of Food Processing Industries, Government of India Thanjavur 613005 India
| | - K.S. Yoha
- Computational Modeling and Nanoscale Processing Unit National Institute of Food Technology, Entrepreneurship and Management ‐ Thanjavur, Ministry of Food Processing Industries, Government of India Thanjavur 613005 India
| | - Anand Babu Perumal
- Computational Modeling and Nanoscale Processing Unit National Institute of Food Technology, Entrepreneurship and Management ‐ Thanjavur, Ministry of Food Processing Industries, Government of India Thanjavur 613005 India
| | - Jeyan A Moses
- Computational Modeling and Nanoscale Processing Unit National Institute of Food Technology, Entrepreneurship and Management ‐ Thanjavur, Ministry of Food Processing Industries, Government of India Thanjavur 613005 India
| | - C. Anandharamakrishnan
- Computational Modeling and Nanoscale Processing Unit National Institute of Food Technology, Entrepreneurship and Management ‐ Thanjavur, Ministry of Food Processing Industries, Government of India Thanjavur 613005 India
| | - V. M. Balasubramaniam
- Department of Food Science and Technology & Department of Food Agricultural and Biological Engineering The Ohio State University Columbus Ohio USA
| |
Collapse
|
8
|
Li H, James A, Shen X, Wang Y. Roles of microbiota in the formation of botrytized grapes and wines. CYTA - JOURNAL OF FOOD 2021. [DOI: 10.1080/19476337.2021.1958925] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Hua Li
- Beijing Advanced Innovation Center For Food Nutrition And Human Health, Beijing Technology & Business University (BTBU), Beijing, P.R. China
| | - Armachius James
- Beijing Advanced Innovation Center For Food Nutrition And Human Health, Beijing Technology & Business University (BTBU), Beijing, P.R. China
| | - Xuemei Shen
- Beijing Advanced Innovation Center For Food Nutrition And Human Health, Beijing Technology & Business University (BTBU), Beijing, P.R. China
| | - Yousheng Wang
- Beijing Advanced Innovation Center For Food Nutrition And Human Health, Beijing Technology & Business University (BTBU), Beijing, P.R. China
| |
Collapse
|