Molecularly imprinted polymers coated on the surface of metal–organic frameworks combined with liquid chromatography-tandem mass spectrometry for the detection of free N-acetylneuraminic acid in serum of pneumoconiosis patients

Lin, Renyi; Chen, Bin; Luo, Deshou; Wu, Youjia; Huang, Lingyi; Zheng, Lianyuan; Liao, Qiuping; Huang, Liying

doi:10.1016/j.microc.2022.107821

Cited by 5 publications

(1 citation statement)

References 21 publications

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“…Therefore, the measurement of NANA levels could serve as a useful indicator for the early diagnosis of lung cancer. 4,5 Up to now, several analytical methods have been established for the detection of UA and NANA levels, including surface-enhanced Raman scattering, colorimetric analysis, surface plasmon resonance, enzymatic methods, and electrochemical biosensors. 6–8 However, these methods are usually time-consuming, require expensive instruments, and involve sophisticated manual operations.…”

Section: Introductionmentioning

confidence: 99%

Eu³⁺/Tb³⁺-modified Cd(ii) coordination polymers for effective detection of uric acid and lung cancer biomarker N-acetylneuraminic acid

Li,

Chen,

Zhao

et al. 2024

J. Mater. Chem. C

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Section: Introductionmentioning

confidence: 99%

Eu³⁺/Tb³⁺-modified Cd(ii) coordination polymers for effective detection of uric acid and lung cancer biomarker N-acetylneuraminic acid

Li,

Chen,

Zhao

et al. 2024

J. Mater. Chem. C

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Advanced mass spectrometric and spectroscopic methods coupled with machine learning for in vitro diagnosis

Chen

Shu

Zhao

et al. 2022

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In vitro diagnosis (IVD) is one vital component of medical tests that detects biological samples of tissues or bio‐fluids. Recently, mass spectrometry and spectroscopy have been increasingly employed in the field of IVD, due to their high accuracy, facile sample preparation, and rapid detection. Notably, the large datasets generated by these two technology methods provide a wealth of information but subsequently involve complex and time‐consuming processing works. Machine learning (ML), an important branch of artificial intelligence (AI), has emerged as a promising solution for the decoding of big data. ML imitates the human brain to process data, significantly improving accuracy and efficiency compared with traditional processing methods. In this review, we first introduce the commonly used ML algorithms and advanced mass spectrometry and spectroscopy techniques in the field of IVD, respectively. The ML algorithms are summarized as four aspects according to different learning tasks. Then, the combinations of ML with mass spectrometry, spectroscopy, and multi‐modal analysis for IVD are presented, and the roles of ML in these combinations are elucidated by some representative examples. This review aims to provide a systematic and comprehensive summary of the literature on ML‐assisted mass spectrometry or spectroscopy. We believe that it will facilitate researchers to select suitable ML algorithms for supplementing existing detection techniques or to develop the potential of coupling more detection techniques with ML, thus promoting the development of mass spectrometry and spectroscopy in IVD.

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Dual-emission rare-earth fluorescent nanomaterials for ratiometric and visual detection of N-acetylneuraminic acid and applications in information encryption and anti-counterfeiting

Wei,

Gu,

et al. 2024

Analytica Chimica Acta

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Molecularly imprinted polymers coated on the surface of metal–organic frameworks combined with liquid chromatography-tandem mass spectrometry for the detection of free N-acetylneuraminic acid in serum of pneumoconiosis patients

Cited by 5 publications

References 21 publications

Eu³⁺/Tb³⁺-modified Cd(ii) coordination polymers for effective detection of uric acid and lung cancer biomarker N-acetylneuraminic acid

Eu³⁺/Tb³⁺-modified Cd(ii) coordination polymers for effective detection of uric acid and lung cancer biomarker N-acetylneuraminic acid

Advanced mass spectrometric and spectroscopic methods coupled with machine learning for in vitro diagnosis

Dual-emission rare-earth fluorescent nanomaterials for ratiometric and visual detection of N-acetylneuraminic acid and applications in information encryption and anti-counterfeiting

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Molecularly imprinted polymers coated on the surface of metal–organic frameworks combined with liquid chromatography-tandem mass spectrometry for the detection of free N-acetylneuraminic acid in serum of pneumoconiosis patients

Cited by 5 publications

References 21 publications

Eu3+/Tb3+-modified Cd(ii) coordination polymers for effective detection of uric acid and lung cancer biomarker N-acetylneuraminic acid

Eu3+/Tb3+-modified Cd(ii) coordination polymers for effective detection of uric acid and lung cancer biomarker N-acetylneuraminic acid

Advanced mass spectrometric and spectroscopic methods coupled with machine learning for in vitro diagnosis

Dual-emission rare-earth fluorescent nanomaterials for ratiometric and visual detection of N-acetylneuraminic acid and applications in information encryption and anti-counterfeiting

Contact Info

Product

Resources

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Eu³⁺/Tb³⁺-modified Cd(ii) coordination polymers for effective detection of uric acid and lung cancer biomarker N-acetylneuraminic acid

Eu³⁺/Tb³⁺-modified Cd(ii) coordination polymers for effective detection of uric acid and lung cancer biomarker N-acetylneuraminic acid