Ultra-sensitive detection of malathion residues using FRET-based upconversion fluorescence sensor in food

Chen, Quansheng; Ren, Sheng; Wang, Pingyue; Ouyang, Qin; Wang, Ancheng; Ali, Shujat; Hassan, Md. Mehedi

doi:10.1016/j.saa.2020.118654

Cited by 60 publications

(22 citation statements)

References 38 publications

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“…Using experimental analysis, Shen et al showed that miR-204 can target FOXA1 directly to adjust the biological progress in BC cells [ 26 ]. Chen et al used PCR to measure the expression level of serum miR-204 in patients with gastric cancer [ 27 ]. The results indicated that the level of miR-204 was obviously lower than that in the normal control group.…”

Section: Discussionmentioning

confidence: 99%

Construction and Analysis of Competing Endogenous RNA Networks for Breast Cancer Based on TCGA Dataset

Wang

Gao

Feng

et al. 2020

BioMed Research International

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Background. Long noncoding RNAs (lncRNAs) act as competing endogenous RNAs for microRNAs in cancer metastasis. However, the roles of lncRNA-mediated competing endogenous RNA (ceRNA) networks for breast cancer (BC) are still unclear. Material and Methods. The expression profiles of mRNAs, lncRNAs, and miRNAs with BC were extracted from The Cancer Genome Atlas database. Weighted gene coexpression network analysis was conducted to extract differentially expressed mRNAs (DEmRNAs) that might be core genes. Through miRWalk, TargetScan, and miRDB to predict the target genes, an abnormal lncRNA-miRNA-mRNA ceRNA network with BC was constructed. The survival possibilities of mRNAs, miRNAs, and lncRNAs for patients with BC were determined by Kaplan-Meier survival curves and Oncomine. Results. We identified 2134 DEmRNAs, 1059 differentially expressed lncRNAs (DElncRNAs), and 86 differentially expressed miRNAs (DEmiRNAs). We then compose a ceRNA network for BC, including 72 DElncRNAs, 8 DEmiRNAs, and 12 DEmRNAs. After verification, 2 lncRNAs (LINC00466, LINC00460), 1 miRNA (Hsa-mir-204), and 5 mRNAs (TGFBR2, CDH2, CHRDL1, FGF2, and CHL1) were meaningful as prognostic biomarkers for BC patients. In the ceRNA network, we found that three axes were present in 10 RNAs related to the prognosis of BC, namely, LINC00466-Hsa-mir-204-TGFBR2, LINC00466-Hsa-mir-204-CDH2, and LINC00466-Hsa-mir-204-CHRDL1. Conclusion. This study highlighted lncRNA-miRNA-mRNA ceRNA related to the pathogenesis of BC, which might be used for latent diagnostic biomarkers and therapeutic targets for BC.

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Section: Discussionmentioning

confidence: 99%

Construction and Analysis of Competing Endogenous RNA Networks for Breast Cancer Based on TCGA Dataset

Wang

Gao

Feng

et al. 2020

BioMed Research International

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“…A final example of conjugated polymer-based pesticide detection was reported by Chen and coworkers (Chen et al, 2020a). In this example, negatively charged fluorescent nanoparticles were combined with gold nanoparticles that were coated with a cationic conjugated fluorescent polymer.…”

Section: Fluorescent Polymer-based Pesticide Detectionmentioning

confidence: 99%

Fluorescence-Based Sensing of Pesticides Using Supramolecular Chemistry

Levine

2021

Front. Chem.

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The detection of pesticides in real-world environments is a high priority for a broad range of applications, including in areas of public health, environmental remediation, and agricultural sustainability. While many methods for pesticide detection currently exist, the use of supramolecular fluorescence-based methods has significant practical advantages. Herein, we will review the use of fluorescence-based pesticide detection methods, with a particular focus on supramolecular chemistry-based methods. Illustrative examples that show how such methods have achieved success in real-world environments are also included, as are areas highlighted for future research and development.

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“…This phenomenon involving metal nanoparticles functionalized to a fluorophore can be exploited to detect environmental pollutions [ 60 , 61 , 62 , 63 , 64 , 65 ]. It is possible to identify two sensor classes.…”

Section: Physical Aspects Behind Fluorescence Response To Environmmentioning

confidence: 99%

“…The use of aptamers that can be chosen to bind specifically to some molecules, allows the development of optosensors highly selective to a particular target pesticide. Specific aptamers have been used to monitor malathion contents in adulterated tap water [ 62 ]. The aptamers bind to cationic polymer through electrostatic interactions.…”

Section: Recent Developments On Pesticides Detectionmentioning

confidence: 99%

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Metal Nanostructures for Environmental Pollutant Detection Based on Fluorescence

Burratti

Ciotta

et al. 2021

Nanomaterials

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Heavy metal ions and pesticides are extremely dangerous for human health and environment and an accurate detection is an essential step to monitor their levels in water. The standard and most used methods for detecting these pollutants are sophisticated and expensive analytical techniques. However, recent technological advancements have allowed the development of alternative techniques based on optical properties of noble metal nanomaterials, which provide many advantages such as ultrasensitive detection, fast turnover, simple protocols, in situ sampling, on-site capability and reduced cost. This paper provides a review of the most common photo-physical effects impact on the fluorescence of metal nanomaterials and how these processes can be exploited for the detection of pollutant species. The final aim is to provide readers with an updated guide on fluorescent metallic nano-systems used as optical sensors of heavy metal ions and pesticides in water.

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Ultra-sensitive detection of malathion residues using FRET-based upconversion fluorescence sensor in food

Cited by 60 publications

References 38 publications

Construction and Analysis of Competing Endogenous RNA Networks for Breast Cancer Based on TCGA Dataset

Construction and Analysis of Competing Endogenous RNA Networks for Breast Cancer Based on TCGA Dataset

Fluorescence-Based Sensing of Pesticides Using Supramolecular Chemistry

Metal Nanostructures for Environmental Pollutant Detection Based on Fluorescence

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