Iron nanoflorets on 3D-graphene-nickel: A ‘Dandelion’ nanostructure for selective deoxynivalenol detection

Ong, Chong Cheen; Sangu, Sangeetha Siva; Illias, Nabihah Mohammad; Gopinath, Subash C.B.; Saheed, Mohamed Shuaib Mohamed

doi:10.1016/j.bios.2020.112088

Cited by 35 publications

(15 citation statements)

References 39 publications

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“…In addition, no additional substrate was needed compared to conventional enzymatic amplification by substrate cycling. Ong et al [ 81 ] described a novel aptasensor for DON determination where they used iron nanoflorets graphene nickel (INFGN) as a transducer. The INFGN enabled a feasible bio-capturing due to its large surface area where the hydroxyl groups act as linkers.…”

Section: Sensors Based On Artificial Recognition Elementsmentioning

confidence: 99%

Biosensors for Deoxynivalenol and Zearalenone Determination in Feed Quality Control

Majer-Baranyi

Adányi

Székacs

2021

Toxins

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Mycotoxin contamination of cereals used for feed can cause intoxication, especially in farm animals; therefore, efficient analytical tools for the qualitative and quantitative analysis of toxic fungal metabolites in feed are required. Current trends in food/feed analysis are focusing on the application of biosensor technologies that offer fast and highly selective and sensitive detection with minimal sample treatment and reagents required. The article presents an overview of the recent progress of the development of biosensors for deoxynivalenol and zearalenone determination in cereals and feed. Novel biosensitive materials and highly sensitive detection methods applied for the sensors and the application of these sensors to food/feed products, the limit, and the time of detection are discussed.

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Section: Sensors Based On Artificial Recognition Elementsmentioning

confidence: 99%

Biosensors for Deoxynivalenol and Zearalenone Determination in Feed Quality Control

Majer-Baranyi

Adányi

Székacs

2021

Toxins

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“…In a more recent work, they applied a similar strategy for simultaneous detection of ZEN, OTA, and FB 1 by constructing an AuNP–upconversion nanoparticle (UCNP)–AuNP trimer (Z. Wu et al., 2020). Additionally, aptamers for other toxins, such as AFM 1 (Niazi et al., 2020), DON (Ong, Siva Sangu, Illias, Chandra Bose Gopinath, & Saheed, 2020), PAT (Khan et al., 2020), and T‐2 toxin (M. Zhang et al., 2019), have been applied on other sensing platforms. We believe that the sensitivity could be further improved by using these aptamers on the SERS‐based sensing system.…”

Section: Sers Detection With Specific Recognitionmentioning

confidence: 99%

Recent progress in mycotoxins detection based on surface‐enhanced Raman spectroscopy

Zhai

You

Ouyang

et al. 2021

Comp Rev Food Sci Food Safe

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Mycotoxins are toxic compounds naturally produced by certain types of fungi. The contamination of mycotoxins can occur on numerous foodstuffs, including cereals, nuts, fruits, and spices, and pose a major threat to humans and animals by causing acute and chronic toxic effects. In this regard, reliable techniques for accurate and sensitive detection of mycotoxins in agricultural products and food samples are urgently needed. As an advanced analytical tool, surface‐enhanced Raman spectroscopy (SERS), presents several major advantages, such as ultrahigh sensitivity, rapid detection, fingerprint‐type information, and miniaturized equipment. Benefiting from these merits, rapid growth has been observed under the topic of SERS‐based mycotoxin detection. This review provides a comprehensive overview of the recent achievements in this area. The progress of SERS‐based label‐free detection, aptasensor, and immunosensor, as well as SERS combined with other techniques, has been summarized, and in‐depth discussion of the remaining challenges has been provided, in order to inspire future development of translating the techniques invented in scientific laboratories into easy‐to‐operate analytic platforms for rapid detection of mycotoxins.

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“…The main idea in recent medical diagnostic is to create a new application with nanomaterial‐based biosensor, and applicable to medical diagnosis. Various nanomaterials such as gold, silver, silica, copper, alumina, and graphene are synthesized with various size and shapes for biosensor applications 6–9 . Among them, gold is the versatile material and greatest interest from researchers for biosensing applications due to its unique properties, which includes high conductivity, excellent biocompatibility, higher density, good catalysis, and high surface to volume ratio.…”

Section: Introductionmentioning

confidence: 99%

“…Various nanomaterials such as gold, silver, silica, copper, alumina, and graphene are synthesized with various size and shapes for biosensor applications. [6][7][8][9] Among them, gold is the versatile material and greatest interest from researchers for biosensing applications due to its unique properties, which includes high conductivity, excellent biocompatibility, higher density, good catalysis, and high surface to volume ratio. Gold nanoparticle (GNP) is generally used in two ways; one is for surface functionalization to immobilize the capture molecule on the sensing surfaces and the other one was GNP conjugated with target molecule and used as the detection probe.…”

Section: Introductionmentioning

confidence: 99%

“…[23][24][25] miRNA-195 can inhibit the osteosarcoma cell invasion and migration through targeting the synthesis of fatty acids, which was applied for therapeutic in identifying and treating the disease. 26 Various researches further proved that the level of miRNA-195 in serum was lower in osteosarcoma patients compared with the healthy control, 7,8 and quantifying the level of miRNA-195 level helps to identify the osteosarcoma and its condition. GNP-based colorimetric assay was conducted to identify the miRNA-195 target sequence to diagnose the osteosarcoma.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Colorimetric identification of miRNA‐195 sequence for diagnosing osteosarcoma

Zheng

et al. 2021

Biotech and App Biochem

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Improving biosensing performance is mandatory for biomolecular recognition and disease identification. Gold nanoparticle (GNP)‐based colorimetric assay is the easy and cost‐effective identification method by a naked eye detection. In this research, osteosarcoma biomarker (miRNA‐195) was identified by citrate‐capped GNP‐colorimetric assay. As salt‐induced aggregation was used to observe the color changes of GNP, sodium chloride (NaCl) and capture DNA were optimized as 50 mM and ∼20 pmol, respectively. The capture DNA only on GNP could not stabilize under high NaCl, and the color of GNP turned into purple. At the same time, when capture DNA was hybridized with target, the condition can stabilize the GNP under higher NaCl, which retains the GNP color as red. This simple assay reaches the limit of detection of target miRNA‐195 as ∼40 fmol. Control experiments with noncomplementary DNA turned the solution into purple, indicating the specific detection of target. The mixture of target in diluted serum retains the color of the GNP solution to be red, indicating the selective detection of target DNA. This simple assay helps to quantify the level of miRNA‐195 target DNA and to diagnose the osteosarcoma.

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Iron nanoflorets on 3D-graphene-nickel: A ‘Dandelion’ nanostructure for selective deoxynivalenol detection

Cited by 35 publications

References 39 publications

Biosensors for Deoxynivalenol and Zearalenone Determination in Feed Quality Control

Biosensors for Deoxynivalenol and Zearalenone Determination in Feed Quality Control

Recent progress in mycotoxins detection based on surface‐enhanced Raman spectroscopy

Colorimetric identification of miRNA‐195 sequence for diagnosing osteosarcoma

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