| Literature DB >> 36157779 |
Rafael G Araújo1,2, Reyna Berenice González-González1,2, Manuel Martinez-Ruiz1,2, Karina G Coronado-Apodaca1,2, Humberto Reyes-Pardo1, Zoé P Morreeuw1, Mariel Araceli Oyervides-Muñoz1,2, Juan Eduardo Sosa-Hernández1,2, Damià Barceló3,4,5, Roberto Parra-Saldívar1,2, Hafiz M N Iqbal1,2.
Abstract
The synergistic interaction between advanced biotechnology and nanotechnology has allowed the development of innovative nanomaterials. Those nanomaterials can conveniently act as supports for enzymes to be employed as nanobiocatalysts and nanosensing constructs. These systems generate a great capacity to improve the biocatalytic potential of enzymes by improving their stability, efficiency, and product yield, as well as facilitating their purification and reuse for various bioprocessing operating cycles. The different specific physicochemical characteristics and the supramolecular nature of the nanocarriers obtained from different economical and abundant sources have allowed the continuous development of functional nanostructures for different industries such as food and agriculture. The remarkable biotechnological potential of nanobiocatalysts and nanosensors has generated applied research and use in different areas such as biofuels, medical diagnosis, medical therapies, environmental bioremediation, and the food industry. The objective of this work is to present the different manufacturing strategies of nanomaterials with various advantages in biocatalysis and nanosensing of various compounds in the industry, providing great benefits to society and the environment.Entities:
Year: 2022 PMID: 36157779 PMCID: PMC9494649 DOI: 10.1021/acsomega.2c03155
Source DB: PubMed Journal: ACS Omega ISSN: 2470-1343
Figure 1Schematic representation of fluorescence response for the detection of metal ions. Abbreviations: CDs (carbon dots), FL (fluorescence). Reprinted from ref (24). Copyright 2021 Elsevier B.V. License Number: 5356730106426.
Figure 2Immobilization methods employed for the development of nanobiocatalyts. Created with BioRender.com and extracted under premium membership.
Figure 3Components of nanobiocatalysts and their main applications: (1) food sector related applications, (2) wastewater treatment plants for decontamination and degradation of pollutants, (3) energy sector related applications, and (4) biomedical applications. Created with BioRender.com and extracted under premium membership.
Description of the Most Used Nanobiocatalysts for the Removal of Pollutants in Wastewater
| enzyme | nanomaterial | immobilization strategy | application | improvement due immobilization | reference |
|---|---|---|---|---|---|
| laccase | fumed silica | sorption assisted | oxidation of phenolic compounds | increase of enzymatic activity up to 1.64-fold free enzyme | ( |
| laccase | fumed silica | sorption assisted | elimination of: | higher activity retention over a wide pH range compared with free enzyme | ( |
| hydroquinone | |||||
| bisphenol A | |||||
| diclofenac | |||||
| gemfibrozil | |||||
| benzophenone-2 | |||||
| benzophenone-4 | |||||
| laccase | zeolitic imidazole framework-8 | covalently | acid blue 92:AB92 degradation | dye removal up to 90% | ( |
| laccase | graphene oxide-zeolite nanocomposite | covalently | direct red 23 degradation | reusability over five cycles, high storage stability, and thermal stability | ( |
| laccase | micronanobubbles (MNB) | NS | degradation of: | degradation 2.3–6.2 higher than only enzyme | ( |
| bisphenol A | |||||
| bisphenol B | |||||
| bisphenol C | |||||
| mixture of BPA, BPB, BPC | |||||
| laccase | Cu2O nanowire-mesocrystal | covalently | degradation of 2,4-dichlorophenol | enzyme activity 10-fold higher than free enzyme | ( |
| glucose oxidase | Fe2O3 yolk–shell | covalently | decolorization of dyes’ degradation of biophenol A | 32-fold higher stability than the free enzyme | ( |
| horseradish peroxidase | |||||
| laccase | |||||
| peroxidases | magnetic-core | sorption assisted | phenol removal | enzymes retained 50% of their initial activity after 6 uses | ( |
| polyphenol oxidase | |||||
| horseradish peroxidase | GO_Fe3O4/Au@CA | sorption assisted | 4-chlorophenols | removal of 98% 4-CP and retention of 95% of the initial activity after three cycles | ( |
| lignin peroxidase | carbon nanotubes | sorption assisted | decolorization of dyes | increase of 18- and 27-fold of activity compared to the free enzyme | ( |
| oxidase | Nafion/oil/Pt-nanoparticles | NS | oxidation of glucose, choline, lactate, and sucrose | oxidation rate enhancement by a factor of 10–30 | ( |
| cyanate hydratase | magnetic-multiwall carbon nanotubes | covalently | treatment of waters with cyanate, chromium, iron, lead, and copper | long-term storage stability | ( |
| catalase | magnetic-multiwall carbon nanotubes | physical adsorption | treatment of wastewater | improvement of enzyme activity and stability | ( |
| lipase | ionic liquids-modified carboxymethyl cellulose nanoparticles | covalently | industrial wastewater treatment | specific activity 1.43 higher than free enzyme | ( |
| lipase | copper ferrite nanoparticles | covalently | industrial wastewater | high storage and temperature stability; reusability up to 80% after 10 cycles | ( |
NS = not specified.
Figure 4Application of nanosensors throughout the food supply chain.
Figure 5Common types of nanomaterials, biocomponents, and analytes in nanosensing. Created with BioRender.com and extracted under premium membership.
Examples of Nanostructured-Based Sensors for Detection of Food Contaminants
| type of food contaminants | materials | detection techniques | applications | detection limit | reference |
|---|---|---|---|---|---|
| Pathogens | |||||
| Fe-MOF/PtNPs | microfluidic immunosensor | food sample | 93 cfu/mL | ( | |
| MIL-53(Fe)/PEDOT | electrochemical | water | 4 cfu/mL | ( | |
| Ab/Cu3(BTC)2-PANI/ITO | electrochemical | water | 2 cfu/mL | ( | |
| Cu-MOF NP | colorimetric | milk | 2 cfu/mL | ( | |
| 2D MOF | electrochemical | - | 6 cfu/mL | ( | |
| NH2-MIL-53(Fe) | photoluminescence | cream pastry | 85 cfu/mL | ( | |
| Mycotoxins | |||||
| 3-nitropropionic acid | [Zn2(tcpbp)(4,40 -bipy)2] | fluorescence | sugar cane | 1.0 μM | ( |
| Eu-MOF (1) | r fluorescence | moldy sugar cane | 12.6 μM | ( | |
| aflatoxin B1 | UiO-66-NH2 | fluorescence | corn, rice and milk | 0.35 ng/mL | ( |
| Zr-LMOF/MF | fluorescence | water | 1.6 mg/L | ( | |
| patulin | MIP/Au@Cu-MOF/N-GQDs/GCE | electrochemical | fruit juices | 0.0007 ng/mL | ( |
| Antibiotics | |||||
| tetracycline | Eu-MOF (1) | fluorescence | water | 3 nM | ( |
| Eu-MOF | fluorescence | milk and beef | 22 and 21 μM | ( | |
| cephalexin | gCDc/AuNCs @ ZIF-8 | r fluorescence | milk | 0.04 ng/mL | ( |
| metronidazole | MIL-53(Fe)@MIP | fluorescence | milk | 53.4 nM | ( |
| chloramphenicol | MIP/Zr-LMOF | fluorescence | milk and honey | 0.11 and 0.13 μg/L | ( |
| nitrofurans | Eu-MOFs | fluorescence | food | 1.08 μM | ( |
| {[Cd3(TDCPB)·2DMAc]·DMAc·4H2O}n | fluorescence | milk | 105 μM | ( | |