Machine learning: Assisted multivariate detection and visual image matching to build broad-specificity immunosensor

Qileng, Aori; Zhu, Hongshuai; Liu, Siqian; He, Liangmei; Qin, Weiwei; Liu, Weipeng; Xu, Zhen-Lin; Liu, Yingju

doi:10.1016/j.snb.2021.129872

Cited by 12 publications

(11 citation statements)

References 36 publications

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“…On this basis, as shown in Figure 5c, Qileng et al. (2021) added a machine learning method for image matching to achieve accurate detection of multiple OTs by converting 3D signals including CM, PEC, and FL methods into color signals, which can effectively handle multivariate detection with high accuracy and recovery. Thus, the combination of immunosensors and machine learning to differentiate the signals of analogs will provide new insights into the application of immunosensors in multivariate detection.…”

Section: Strategies On Dual‐mode Immunoassay Of Mycotoxinsmentioning

confidence: 99%

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Advances in immunoassay‐based strategies for mycotoxin detection in food: From single‐mode immunosensors to dual‐mode immunosensors

Chen

Qileng

Liang

et al. 2023

Comp Rev Food Sci Food Safe

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Mycotoxin contamination in foods and other goods has become a broad issue owing to serious toxicity, tremendous threat to public safety, and terrible loss of resources. Herein, it is necessary to develop simple, sensitive, inexpensive, and rapid platforms for the detection of mycotoxins. Currently, the limitation of instrumental and chemical methods cannot be massively applied in practice. Immunoassays are considered one of the best candidates for toxin detection due to their simplicity, rapidness, and cost‐effectiveness. Especially, the field of dual‐mode immunosensors and corresponding assays is rapidly developing as an advanced and intersected technology. So, this review summarized the types and detection principles of single‐mode immunosensors including optical and electrical immunosensors in recent years, then focused on developing dual‐mode immunosensors including integrated immunosensors and combined immunosensors to detect mycotoxins, as well as the combination of dual‐mode immunosensors with a portable device for point‐of‐care test. The remaining challenges were discussed with the aim of stimulating future development of dual‐mode immunosensors to accelerate the transformation of scientific laboratory technologies into easy‐to‐operate and rapid detection platforms.

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Section: Strategies On Dual‐mode Immunoassay Of Mycotoxinsmentioning

confidence: 99%

“…Construction of multichannel immunosensor: (a, b) CM–FL–PEC triple signal detection of AFB 1 (Lin et al., 2017), copyright 2017 American Chemical Society. (c) CM–FL–PEC triple signals detection of OTA, OTB, and OTC (Qileng et al., 2021), copyright 2021 Elsevier.…”

Section: Strategies On Dual‐mode Immunoassay Of Mycotoxinsmentioning

confidence: 99%

Advances in immunoassay‐based strategies for mycotoxin detection in food: From single‐mode immunosensors to dual‐mode immunosensors

Chen

Qileng

Liang

et al. 2023

Comp Rev Food Sci Food Safe

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“…The anti-DON mAb was coupled with NHS-terminated MB with some modifications, according to previously published methods [35]. With the use of an external magnetic field, 20 mL of NHS-terminated MB (10%, v/v) was mixed uniformly and rinsed twice with absolute ethanol.…”

Section: Preparation Of Anti-don Immunoaffinity Magnetic Beadsmentioning

confidence: 99%

An Automatic Immunoaffinity Pretreatment of Deoxynivalenol Coupled with UPLC-UV Analysis

Liu

Xuan

Jin

et al. 2022

Toxins

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An immunoaffinity magnetic beads (IMBs) based automatic pretreatment method was developed for the quantitative analysis of deoxynivalenol (DON) by ultra-performance liquid chromatography and ultraviolet detector (UPLC-UV). First, N-hydroxysuccinimide-terminated magnetic beads (NHS-MBs) with good magnetic responsivity and dispersibility were synthesized and characterized by optical microscopy, scanning electron microscopy (SEM), and laser diffraction-based particle size analyzer. Then, the amino groups of anti-DON monoclonal antibody (mAb) and the NHS groups of NHS-MBs were linked by covalent bonds to prepare IMB, without any activation reagent. The essential factors affecting the binding and elution of DON were meticulously tuned. Under optimal conditions, DON could be extracted from a real sample and eluted from IMB by water, enabling environmentally friendly and green analysis. Hence, there was no need for dilution or evaporation prior to UPLC-UV analysis. DON in 20 samples could be purified and concentrated within 30 min by the mycotoxin automated purification instrument (MAPI), allowing for automated, green, high-throughput and simple clean-up. Recoveries at four distinct spiking levels in corn and wheat ranged from 92.0% to 109.5% with good relative standard deviations (RSD, 2.1–7.0%). Comparing the test results of IAC and IMB in commercial samples demonstrated the reliability and superiority of IMB for quantitatively analyzing massive samples.

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“…12,13 Hence, compared to other dual-signaling strategies, bioassays coupled with PEC and CL have the potential to replace traditional equipment for the construction of biosensors, which are portable and show rapid response and high confidence levels to a certain extent. 14,15 In this regard, developing an innovative biosensing platform based on PEC analysis and visual detection by naked eyes is of great importance for the development of portable and miniaturized biosensing devices. The hybridization chain reaction (HCR), a suitable strategy that has a flexible and controllable structure and ultrahigh sensitivity and is easy to program and enzyme free, has emerged as an effective vehicle for signal amplification to improve the detection performance of DNA biosensing systems via the synergy of HCR products and functional components.…”

mentioning

confidence: 99%

“…By integrating the two types of relatively independent signal transduction modes, coresponse bioassays can greatly reduce the influence of uncontrollable accidental errors or background signals during the operating process, thereby improving the accuracy level of the test . Of particular note is that colorimetric methods are promising tools, which can be applied for quantitative or semiquantitative assays and unlocking the restriction of using sophisticated and expensive instruments due to their advantages of low cost, visualization, and simplified analytical procedures. , Hence, compared to other dual-signaling strategies, bioassays coupled with PEC and CL have the potential to replace traditional equipment for the construction of biosensors, which are portable and show rapid response and high confidence levels to a certain extent. , In this regard, developing an innovative biosensing platform based on PEC analysis and visual detection by naked eyes is of great importance for the development of portable and miniaturized biosensing devices.…”

mentioning

confidence: 99%

Dual-Signaling Photoelectrochemical Biosensor Based on Biocatalysis-Induced Vulcanization of Bi₂MoO₆ Nanosheets

Zeng

Huang

et al. 2022

Anal. Chem.

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A magnetic-assisted photoelectrochemical (PEC) and colorimetric (CL) dual-modal biosensing platform with high precision was established to monitor prostate-specific antigen (PSA) based on Bi2MoO6 nanosheets (BMO) by coupling the aptamer-guided hybridization chain reaction (HCR) with the hydrolysate-induced vulcanization reaction of Bi2MoO6 nanosheets. Upon addition of PSA, trigger DNA (tDNA) was released by the interaction between the target analyte and the aptamer and then further hybridized with anchor DNA (aDNA) conjugated on magnetic beads (MBs). The as-released tDNA initiated the target-assisted HCR in the presence of two alternating hairpin sequences (Bio-H1 and Bio-H2) to produce nicked long double-stranded DNA on the surface of MBs, where numerous alkaline phosphatase (ALP) enzymes could assemble with MBs through the biotin–avidin reaction, resulting in the hydrolysis of sodium thiophosphate (TP) to H2S. The as-produced H2S reacted with BMO to form vulcanized BMO (BMO-S), thus leading to obvious enhanced PEC performance under visible light with the color change from light yellow to brown. Having optimized the test conditions, the magnetic-assisted biosensing system holds a good quantitative diagnosis sensitivity area in a range of 5.0 pg mL–1–100 ng mL–1 with a calculated detection limit down to 3.5 pg mL–1. Meanwhile, a visual colorimetric assay on basis of the change in the color of the materials was also realized. Given the exceptional performance of the constructed biosensor, it may possess great promise as an advanced bioanalytical tool for practical applications.

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Machine learning: Assisted multivariate detection and visual image matching to build broad-specificity immunosensor

Cited by 12 publications

References 36 publications

Advances in immunoassay‐based strategies for mycotoxin detection in food: From single‐mode immunosensors to dual‐mode immunosensors

Advances in immunoassay‐based strategies for mycotoxin detection in food: From single‐mode immunosensors to dual‐mode immunosensors

An Automatic Immunoaffinity Pretreatment of Deoxynivalenol Coupled with UPLC-UV Analysis

Dual-Signaling Photoelectrochemical Biosensor Based on Biocatalysis-Induced Vulcanization of Bi₂MoO₆ Nanosheets

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Machine learning: Assisted multivariate detection and visual image matching to build broad-specificity immunosensor

Cited by 12 publications

References 36 publications

Advances in immunoassay‐based strategies for mycotoxin detection in food: From single‐mode immunosensors to dual‐mode immunosensors

Advances in immunoassay‐based strategies for mycotoxin detection in food: From single‐mode immunosensors to dual‐mode immunosensors

An Automatic Immunoaffinity Pretreatment of Deoxynivalenol Coupled with UPLC-UV Analysis

Dual-Signaling Photoelectrochemical Biosensor Based on Biocatalysis-Induced Vulcanization of Bi2MoO6 Nanosheets

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Dual-Signaling Photoelectrochemical Biosensor Based on Biocatalysis-Induced Vulcanization of Bi₂MoO₆ Nanosheets