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Al-Awsi GRL, Alameri AA, Al-Dhalimy AMB, Gabr GA, Kianfar E. Application of nano-antibiotics in the diagnosis and treatment of infectious diseases. BRAZ J BIOL 2023; 84:e264946. [PMID: 36722677 DOI: 10.1590/1519-6984.264946] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 10/05/2022] [Indexed: 02/02/2023] Open
Abstract
Infectious diseases are the leading cause of death worldwide. Thus, nanotechnology provides an excellent opportunity to treat drug-resistant microbial infections. Numerous antibiotics have been used to inhibit the growth and kill of microbes, but the development of resistance and the emergence of side effects have severely limited the use of these agents. Due to the development of the nanotechnology, nanoparticles are widely used as antimicrobials. Silver and chitosan nanoparticles have antifungal, antiviral and antibacterial properties, and many studies confirm the antifungal properties of silver nanoparticles. Nowadays, the use of nanoparticles in the diagnosis and treatment of infectious diseases has developed due to less side effects and also the help of these particles in effective drug delivery to the target tissue. Liposomes are also used as carriers of drug delivery, genes, and modeling of cell membranes in both animals and humans. The ability of these liposomes to encapsulate large amounts of drugs, minimize unwanted side effects, high effectiveness and low toxicity has attracted the interest of researchers. This review article examines recent efforts by researchers to identify and treat infectious diseases using antimicrobial nanoparticles and drug nano-carriers.
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Affiliation(s)
- G R L Al-Awsi
- Al-Mustaqbal University College, Department of Radiological Techniques, Hillah, Babylon, Iraq
| | - A A Alameri
- University of Babylon, College of Science, Department of Chemistry, Babylon, Babylon, Iraq
| | - A M B Al-Dhalimy
- Altoosi University College, Department of Nursing, Najaf, Iraq.,The Islamic University, Islamic University Centre for Scientific Research, Najaf, Iraq
| | - G A Gabr
- Prince Sattam Bin Abdulaziz University, College of Pharmacy, Department of Pharmacology and Toxicology, Al-Kharj, Al-Kharj, Saudi Arabia.,Agricultural Genetic Engineering Research Institute - AGERI, Agricultural Research Center, Giza, Egypt
| | - E Kianfar
- Islamic Azad University, Department of Chemistry, Sousangerd, Iran.,Istanbul Medeniyet University, Department of Mechanical Engineering, Istanbul, Turkey.,Islamic Azad University, Department of Chemical Engineering, Arak, Iran.,Islamic Azad University, Young Researchers and Elite Club, Gachsaran, Iran
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2
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Zheng L, Bao Q, Weng S, Tao J, Zhang D, Huang L, Zhao J. Determination of adulteration in wheat flour using multi-grained cascade forest-related models coupled with the fusion information of hyperspectral imaging. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 270:120813. [PMID: 34998050 DOI: 10.1016/j.saa.2021.120813] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 12/02/2021] [Accepted: 12/22/2021] [Indexed: 06/14/2023]
Abstract
Wheat flour (WF) is a common ingredient in staple foods. However, the presence of intentional or unintentional adulterants makes it difficult to guarantee WF quality. Multi-grained cascade forest (gcForest) model, a non-neural network deep learning structure, fused with image-spectra features from hyperspectral imaging (HSI) was employed for detecting adulterant type (peanut, walnut, or benzoyl peroxide) and the corresponding concentration (0.03%, 0.05%, 0.1%, 0.5%, 1%, and 2%). Based on the spectra of full wavelength and effective wavelength (EW) from hyperspectral images of WF samples, the gcForest-related models exhibited high performance (lowest ACCP = 92.45%) and stability (lowest area under the curve = 0.9986). Furthermore, the fusion of the EW and the image features extracted by the symmetric all convolutional neural network (SACNN) was used to establish the gcForest-related models. The maximum accuracy improvement of the fusion feature model relative to the single spectral model and the image model was 2.45% and 44.37%, respectively. The results indicate that the gcForest-related model, combined with the image-spectra fusion feature of HSI, provides an effective tool for detection in food and agriculture.
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Affiliation(s)
- Ling Zheng
- National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Anhui University, Hefei 230601, China.
| | - Qian Bao
- National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Anhui University, Hefei 230601, China
| | - Shizhuang Weng
- National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Anhui University, Hefei 230601, China
| | - Jianpeng Tao
- National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Anhui University, Hefei 230601, China
| | - Dongyan Zhang
- National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Anhui University, Hefei 230601, China
| | - Linsheng Huang
- National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Anhui University, Hefei 230601, China
| | - Jinling Zhao
- National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Anhui University, Hefei 230601, China
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Kang YW, Baek SK, Choi M, Lee HJ, Koo YE. Occurrence and risk assessment of sterigmatocystin in agricultural products and processed foods in Korea. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2022; 39:373-381. [PMID: 35020575 DOI: 10.1080/19440049.2021.1994156] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Sterigmatocystin (STC), a carcinogenic mycotoxin, is known to be produced during the biosynthetic pathway of aflatoxin B1. STC in various foods was determined by LC-MS/MS and its risks were assessed. The analytical method was validated in different food categories, and the performance was acceptable based on the criteria of AOAC. A total 1,135 samples (613 agricultural products and 522 processed foods) were analysed, and STC was detected in 46 samples, indicating a detection rate of 4.1%. STC was found in the range of 0.08-10.07 ng/g, and the detection rates of STC were 3.9% in agricultural products and 4.2% in processed foods. The exposure to STC by average consumption of foods was estimated to 0.09 ng/kg b.w./day. The margin of exposure (MOE) approach was applied to assess the risk of STC, and MOE for the whole population was over 1 × 106. Exposure to STC from the consumption of foods distributed in Korea is unlikely to cause human health problems.
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Affiliation(s)
- Young Woon Kang
- Food Contaminants Division, National Institute of Food and Drug Safety Evaluation, Ministry of Food and Drug Safety, Cheongju-si, Republic of Korea
| | - Su-Kyoung Baek
- Food Contaminants Division, National Institute of Food and Drug Safety Evaluation, Ministry of Food and Drug Safety, Cheongju-si, Republic of Korea
| | - Minji Choi
- Food Contaminants Division, National Institute of Food and Drug Safety Evaluation, Ministry of Food and Drug Safety, Cheongju-si, Republic of Korea
| | - Hwa Jeong Lee
- Food Contaminants Division, National Institute of Food and Drug Safety Evaluation, Ministry of Food and Drug Safety, Cheongju-si, Republic of Korea
| | - Yong Eui Koo
- Food Contaminants Division, National Institute of Food and Drug Safety Evaluation, Ministry of Food and Drug Safety, Cheongju-si, Republic of Korea
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Reinholds I, Bogdanova E, Pugajeva I, Alksne L, Stalberga D, Valcina O, Bartkevics V. Determination of Fungi and Multi-Class Mycotoxins in Camelia Sinensis and Herbal Teas and Dietary Exposure Assessment. Toxins (Basel) 2020; 12:toxins12090555. [PMID: 32872457 PMCID: PMC7551389 DOI: 10.3390/toxins12090555] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 08/24/2020] [Accepted: 08/27/2020] [Indexed: 02/06/2023] Open
Abstract
In this paper, a study of fungal and multi-mycotoxin contamination in 140 Camellia sinensis and 26 herbal teas marketed in Latvia is discussed. The analysis was performed using two-dimensional liquid chromatography with time-of-flight mass spectrometry (2D-LC-TOF-MS) and MALDI-TOF-MS. In total, 87% of the tea samples tested positive for 32 fungal species belonging to 17 genera, with the total enumeration of moulds ranging between 1.00 × 101 and 9.00 × 104 CFU g−1. Moreover, 42% of the teas (n = 70) were contaminated by 1 to 16 mycotoxins, and 37% of these samples were positive for aflatoxins at concentrations ranging between 0.22 and 41.7 µg kg−1. Deoxynivalenol (DON) and its derivatives co-occurred in 63% of the tea samples, with their summary concentrations reaching 81.1 to 17,360 µg kg−1. Ochratoxin A (OTA), enniatins, and two Alternaria toxins were found in 10–37% of the teas at low concentrations. The dietary exposure assessment based on the assumption of a probable full transfer of determined mycotoxins into infusions indicated that the analysed teas are safe for consumers: the probable maximum daily exposure levels to OTA and the combined DON mycotoxins were only 0.88 to 2.05% and 2.50 to 78.9% of the tolerable daily intake levels.
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Affiliation(s)
- Ingars Reinholds
- Institute of Food Safety, Animal Health and Environment “BIOR”, Riga LV-1076, Latvia; (E.B.); (I.P.); (L.A.); (O.V.); (V.B.)
- Faculty of Chemistry, University of Latvia, Riga LV-1004, Latvia
- Correspondence: ; Tel.: +371-2680-2448
| | - Estefanija Bogdanova
- Institute of Food Safety, Animal Health and Environment “BIOR”, Riga LV-1076, Latvia; (E.B.); (I.P.); (L.A.); (O.V.); (V.B.)
| | - Iveta Pugajeva
- Institute of Food Safety, Animal Health and Environment “BIOR”, Riga LV-1076, Latvia; (E.B.); (I.P.); (L.A.); (O.V.); (V.B.)
| | - Laura Alksne
- Institute of Food Safety, Animal Health and Environment “BIOR”, Riga LV-1076, Latvia; (E.B.); (I.P.); (L.A.); (O.V.); (V.B.)
| | - Darta Stalberga
- Faculty of Medicine and Health Sciences, Linköping University, SE-581 83 Linköping, Sweden;
| | - Olga Valcina
- Institute of Food Safety, Animal Health and Environment “BIOR”, Riga LV-1076, Latvia; (E.B.); (I.P.); (L.A.); (O.V.); (V.B.)
| | - Vadims Bartkevics
- Institute of Food Safety, Animal Health and Environment “BIOR”, Riga LV-1076, Latvia; (E.B.); (I.P.); (L.A.); (O.V.); (V.B.)
- Faculty of Chemistry, University of Latvia, Riga LV-1004, Latvia
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Yang X, Wang Y, Song C, Hu X, Wang F, Zeng X. Hapten Synthesis and the Development of an Ultrasensitive Indirect Competitive ELISA for the Determination of Diethylstilbestrol in Food Samples. Sci Rep 2020; 10:3270. [PMID: 32094434 PMCID: PMC7039971 DOI: 10.1038/s41598-020-59112-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Accepted: 01/24/2020] [Indexed: 01/05/2023] Open
Abstract
An ultrasensitive indirect competitive enzyme-linked immunosorbent assay (ic ELISA) using monoclonal antibodies (mAbs) was developed for the specific detection of diethylstilbestrol (DES) residues. To establish an ELISA based on mAbs, hapten diethylstilbestrol mono-carboxypropyl-ether (DES-MCPE) was chemically synthetized and then conjugated to bovine serum albumin (BSA) for immunization in mice. This ic ELISA was further optimized for DES determination. The sensitivity of the ic ELISA was found to be 0.49 μg/kg and the limit of detection was 0.075 μg/kg. DES residues in salmon meat and pork were tested with the recovery range from 74.0 to 85.2% and the coefficient of variation (CV) was less than 10%. Parallel analysis of DES samples from salmon meat showed comparable results from the ic ELISA with high-performance liquid chromatography. The ic ELISA provides a useful screening method for the quantitative detection of DES residues in animal-derived food.
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Affiliation(s)
- Xingdong Yang
- Institute of Food and Drug Inspection, Zhoukou Normal University, Zhoukou, 466001, P.R. China.,Key Laboratory of Animal Immunology of the Ministry of Agriculture, Henan Provincial Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, P.R. China
| | - Yinbiao Wang
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, P.R. China
| | - Chunmei Song
- Food and Bioengineering College, Xuchang University, Xuchang, 461000, P.R. China
| | - Xiaofei Hu
- Key Laboratory of Animal Immunology of the Ministry of Agriculture, Henan Provincial Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, P.R. China
| | - Fangyu Wang
- Key Laboratory of Animal Immunology of the Ministry of Agriculture, Henan Provincial Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, P.R. China
| | - Xianyin Zeng
- Department of Veterinary science, college of Life science, Sichuan Agricultural University, Ya'an, 625014, P.R. China.
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Lu Q, Li X, Zhao J, Zhu J, Luo Y, Duan H, Ji P, Wang K, Liu B, Wang X, Fan W, Sun Y, Zhou EM, Zhao Q. Nanobody‑horseradish peroxidase and -EGFP fusions as reagents to detect porcine parvovirus in the immunoassays. J Nanobiotechnology 2020; 18:7. [PMID: 31910833 PMCID: PMC6945459 DOI: 10.1186/s12951-019-0568-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Accepted: 12/30/2019] [Indexed: 12/18/2022] Open
Abstract
Background Antibodies are an important reagent to determine the specificity and accuracy of diagnostic immunoassays for various diseases. However, traditional antibodies have several shortcomings due to their limited abundance, difficulty in permanent storage, and required use of a secondary antibody. Nanobodies, which are derived from single-chain camelid antibodies, can circumvent many of these limitations and, thus, appear to be a promising substitute. In the presented study, a sandwich ELISA-like immunoassay and direct fluorescent assay with high sensitivity, good specificity, and easy operation were the first time to develop for detecting porcine parvovirus (PPV). After screening PPV viral particles 2 (VP2) specific nanobodies, horseradish peroxidase (HRP) and enhanced green fluorescent protein (EGFP) fusions were derived from the nanobodies by recombinant technology. Finally, using the nanobody-HRP and -EGFP fusions as probes, the developed immunoassays demonstrate specific, sensitive, and rapid detection of PPV. Results In the study, five PPV-VP2 specific nanobodies screened from an immunised Bactrian camel were successfully expressed with the bacterial system and purified with a Ni–NTA column. Based on the reporter-nanobody platform, HRP and EGFP fusions were separately produced by transfection of HEK293T cells. A sandwich ELISA-like assay for detecting PPV in the samples was firstly developed using PPV-VP2-Nb19 as the capture antibody and PPV-VP2-Nb56-HRP fusions as the detection antibody. The assay showed 92.1% agreement with real-time PCR and can be universally used to surveil PPV infection in the pig flock. In addition, a direct fluorescent assay using PPV-VP2-Nb12-EGFP fusion as a probe was developed to detect PPV in ST cells. The assay showed 81.5% agreement with real-time PCR and can be used in laboratory tests. Conclusions For the first time, five PPV-VP2 specific nanobody-HRP and -EGFP fusions were produced as reagents for developing immunoassays. A sandwich ELISA-like immunoassay using PPV-VP2-Nb19 as the capture antibody and PPV-VP2-Nb56-HRP fusion as the detection antibody was the first time to develop for detecting PPV in different samples. Results showed that the immunoassay can be universally used to surveil PPV infection in pig flock. A direct fluorescent assay using PPV-VP2-Nb12-EGFP as a probe was also developed to detect PPV in ST cells. The two developed immunoassays eliminate the use of commercial secondary antibodies and shorten detection time. Meanwhile, both assays display great developmental prospect for further commercial production and application.
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Affiliation(s)
- Qizhong Lu
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China.,Scientific Observing and Experimental Station of Veterinary Pharmacology and Diagnostic Technology, Ministry of Agriculture, Yangling, 712100, Shaanxi, China
| | - Xiaoxuan Li
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China.,Scientific Observing and Experimental Station of Veterinary Pharmacology and Diagnostic Technology, Ministry of Agriculture, Yangling, 712100, Shaanxi, China
| | - Jiakai Zhao
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China.,Scientific Observing and Experimental Station of Veterinary Pharmacology and Diagnostic Technology, Ministry of Agriculture, Yangling, 712100, Shaanxi, China
| | - Jiahong Zhu
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China.,Scientific Observing and Experimental Station of Veterinary Pharmacology and Diagnostic Technology, Ministry of Agriculture, Yangling, 712100, Shaanxi, China
| | - Yuhang Luo
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China.,Scientific Observing and Experimental Station of Veterinary Pharmacology and Diagnostic Technology, Ministry of Agriculture, Yangling, 712100, Shaanxi, China
| | - Hong Duan
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China.,Scientific Observing and Experimental Station of Veterinary Pharmacology and Diagnostic Technology, Ministry of Agriculture, Yangling, 712100, Shaanxi, China
| | - Pinpin Ji
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China.,Scientific Observing and Experimental Station of Veterinary Pharmacology and Diagnostic Technology, Ministry of Agriculture, Yangling, 712100, Shaanxi, China
| | - Kun Wang
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China.,Scientific Observing and Experimental Station of Veterinary Pharmacology and Diagnostic Technology, Ministry of Agriculture, Yangling, 712100, Shaanxi, China
| | - Baoyuan Liu
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China.,Scientific Observing and Experimental Station of Veterinary Pharmacology and Diagnostic Technology, Ministry of Agriculture, Yangling, 712100, Shaanxi, China
| | - Xueting Wang
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China.,Scientific Observing and Experimental Station of Veterinary Pharmacology and Diagnostic Technology, Ministry of Agriculture, Yangling, 712100, Shaanxi, China
| | - Wenqi Fan
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China.,Scientific Observing and Experimental Station of Veterinary Pharmacology and Diagnostic Technology, Ministry of Agriculture, Yangling, 712100, Shaanxi, China
| | - Yani Sun
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China.,Scientific Observing and Experimental Station of Veterinary Pharmacology and Diagnostic Technology, Ministry of Agriculture, Yangling, 712100, Shaanxi, China
| | - En-Min Zhou
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China. .,Scientific Observing and Experimental Station of Veterinary Pharmacology and Diagnostic Technology, Ministry of Agriculture, Yangling, 712100, Shaanxi, China.
| | - Qin Zhao
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, Shaanxi, China. .,Scientific Observing and Experimental Station of Veterinary Pharmacology and Diagnostic Technology, Ministry of Agriculture, Yangling, 712100, Shaanxi, China.
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