Abstract:In this work, a quartz crystal microbalance (QCM) sensor has been fabricated using immunoassay for sensitive determination of Bifidobacterium bifidum. Au nanoparticle has been used for amplifying sandwich assays. The proposed immunosensor exhibited a linear detection range between 10 3 and 10 5 CFU/mL with a limit of detection of 2.1 × 10 2 CFU/mL. The proposed immunosensor exhibited good selectivity for B. bifidum sensing with low cross reactivity for other foodborne pathogens such as Lactobacillus acidophilu… Show more
“…The highest detectable cell concentration was 5 × 10 5 CFU/mL [ 106 ]. A concentration within this measuring range, namely, 10 4 CFU/mL B. bifidum in about 50× diluted milk, was tested using a sandwich assay with gold-labeled antibodies [ 114 ]. The dilution successfully reduced interferences from the milk proteins, but the LOD in undiluted milk was correspondingly higher.…”
Section: Application Of Baw and Saw Sensors And Biosensors In Milk Me...mentioning
confidence: 99%
“…The target oligonucleotides obtained via PCR were detected using a QCM sensor coated with the corresponding oligonucleotides. This was followed by sandwich hybridization with gold-labeled oligonucleotides to enhance the mass load [ 120 ], similar to the sandwich assay described before ( Table 4 ) for the detection of B. bifidum [ 114 ]. Measurements in buffer showed that the sandwich hybridization with gold labels allowed the reduction of the LOD for E. coli to 1.2 × 10 2 CFU/mL, which is two orders of magnitude lower than that obtained using direct detection of the oligonucleotides.…”
Section: Application Of Baw and Saw Sensors And Biosensors In Milk Me...mentioning
Milk and dairy products are common foods and, therefore, are subject to regular controls. Such controls cover both the identification and quantification of specific components and the determination of physical parameters. Components include the usual milk ingredients, mainly carbohydrates, proteins, and fat, and any impurities that may be present. The latter range from small molecules, such as drug residues, to large molecules, e.g., protein-based toxins, to pathogenic microorganisms. Physical parameters of interest include viscosity as an indicator of milk gelation. Bulk and surface acoustic wave sensors, such as quartz crystal microbalance (QCM) and surface acoustic wave (SAW) devices, can principally be used for both types of analysis, with the actual application mainly depending on the device coating and the test format. This review summarizes the achievements of acoustic sensor devices used for milk analysis applications, including the determination of physical liquid parameters and the detection of low- and high-molecular-weight analytes and microorganisms. It is shown how the various requirements resulting from the respective analytes and the complex sample matrix are addressed, and to what extent the analytical demands, e.g., with regard to legal limits, are met.
“…The highest detectable cell concentration was 5 × 10 5 CFU/mL [ 106 ]. A concentration within this measuring range, namely, 10 4 CFU/mL B. bifidum in about 50× diluted milk, was tested using a sandwich assay with gold-labeled antibodies [ 114 ]. The dilution successfully reduced interferences from the milk proteins, but the LOD in undiluted milk was correspondingly higher.…”
Section: Application Of Baw and Saw Sensors And Biosensors In Milk Me...mentioning
confidence: 99%
“…The target oligonucleotides obtained via PCR were detected using a QCM sensor coated with the corresponding oligonucleotides. This was followed by sandwich hybridization with gold-labeled oligonucleotides to enhance the mass load [ 120 ], similar to the sandwich assay described before ( Table 4 ) for the detection of B. bifidum [ 114 ]. Measurements in buffer showed that the sandwich hybridization with gold labels allowed the reduction of the LOD for E. coli to 1.2 × 10 2 CFU/mL, which is two orders of magnitude lower than that obtained using direct detection of the oligonucleotides.…”
Section: Application Of Baw and Saw Sensors And Biosensors In Milk Me...mentioning
Milk and dairy products are common foods and, therefore, are subject to regular controls. Such controls cover both the identification and quantification of specific components and the determination of physical parameters. Components include the usual milk ingredients, mainly carbohydrates, proteins, and fat, and any impurities that may be present. The latter range from small molecules, such as drug residues, to large molecules, e.g., protein-based toxins, to pathogenic microorganisms. Physical parameters of interest include viscosity as an indicator of milk gelation. Bulk and surface acoustic wave sensors, such as quartz crystal microbalance (QCM) and surface acoustic wave (SAW) devices, can principally be used for both types of analysis, with the actual application mainly depending on the device coating and the test format. This review summarizes the achievements of acoustic sensor devices used for milk analysis applications, including the determination of physical liquid parameters and the detection of low- and high-molecular-weight analytes and microorganisms. It is shown how the various requirements resulting from the respective analytes and the complex sample matrix are addressed, and to what extent the analytical demands, e.g., with regard to legal limits, are met.
“…In recent years, food poisoning caused by foodborne pathogens has frequently occurred worldwide, which is the most prominent public health problem in the world (Hou et al, 2020;Duan et al, 2021). As one of the most hazardous foodborne pathogens, Escherichia coli (E. coli) O157:H7 can cause some diseases such as hemorrhagic colitis and hemolytic uremic syndrome.…”
Escherichia coli (E. coli) O157:H7 can cause many food safety incidents, which seriously affect human health and economic development. Therefore, the sensitive, accurate, and rapid determination of E. coli O157:H7 is of great significance for preventing the outbreak and spread of foodborne diseases. In this study, a carbon dots-Fe3O4 nanomaterial (CDs-Fe3O4)-based sensitive electrochemical biosensor for E. coli O157:H7 detection was developed. The CDs have good electrical conductivity, and the surface of carbon dots contains abundant carboxyl groups, which can be used to immobilize probe DNA. Meanwhile, the CDs can be used as a reducing agent to prepare CDs-Fe3O4 nanomaterial. The Fe3O4 nanomaterial can improve the performance of the electrochemical biosensor; it also can realize the recovery of CDs-Fe3O4 due to its magnetism. As expected, the electrochemical biosensor has excellent specificity of E. coli O157:H7 among other bacteria. The electrochemical biosensor also exhibited good performance for detecting E. coli O157:H7 with the detection range of 10–108 CFU/ml, and the detection limit of this electrochemical biosensor was 6.88 CFU/ml (3S/N). Furthermore, this electrochemical biosensor was successfully used for monitoring E. coli O157:H7 in milk and water samples, indicating that this electrochemical biosensor has good application prospect. More importantly, this research can provide a new idea for the detection of other bacteria and viruses.
“…At present, phosphotungstic acid reduction (PAR) method, HPLC, enzyme method, and electrochemical sensor have been established in clinical setting to detect UA. The principle of determination of UA by PAR is that under alkaline conditions, phosphotungstic acid reacts with UA to produce tungsten blue and allantoin (Feng et al, 2020 ; Hou et al, 2020 ; Karimi-Maleh et al, 2020a ). The concentration of UA is indirectly obtained by colorimetry.…”
ZnO nanoparticles (NPs) were synthesized using a hydrothermal method. Scanning electron microscope (SEM) and X-ray diffraction have been used for characterizing the synthesized ZnO NPs. An electrochemical sensor was fabricated using ZnO NPs–modified glassy carbon electrode for simultaneous determination of ascorbic acid (AA), dopamine (DA), and uric acid (UA). The proposed electrochemical sensor exhibited excellent detection performance toward three analytes, demonstrating that it can potentially be applied in clinical applications. The results indicated the ZnO NPs–modified electrode can detect AA in the concentrations range between 50 and 1,000 μM. The ZnO NPs–modified electrode can detect DA in the concentrations range between 2 and 150 μM. The ZnO NPs–modified electrode can detect UA in the concentrations range between 0.2 and 150 μM. The limits of detections of AA, DA, and UA using ZnO NPs–modified electrode were calculated to be 18.4, 0.75, and 0.11 μM, respectively.
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