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  1. Article ; Online: The Hidden Heroes: Holes in Charge-Driven Desorption Mass Spectrometry.

    Cheng, Yu-Hong / Ng, Kwan-Ming

    Analytical chemistry

    2020  Volume 92, Issue 8, Page(s) 5645–5649

    Abstract: Photoexcited hot carriers have high impacts on various fields. However, in contrast to the attention attracted by the hot-electrons, the contributions of holes are seldom recognized. Yet, by simply removing the hot-electrons but retaining the holes on ... ...

    Abstract Photoexcited hot carriers have high impacts on various fields. However, in contrast to the attention attracted by the hot-electrons, the contributions of holes are seldom recognized. Yet, by simply removing the hot-electrons but retaining the holes on the surface of photoexcited plasmonic gold nanoparticles, a 60-fold ion intensity amplification could be achieved in laser desorption ionization mass spectrometry. A new desorption mechanism termed "charge-driven desorption" has been derived to rationalize the significant improvement.
    Language English
    Publishing date 2020-02-27
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1508-8
    ISSN 1520-6882 ; 0003-2700
    ISSN (online) 1520-6882
    ISSN 0003-2700
    DOI 10.1021/acs.analchem.0c00036
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Sensitive Detection of Separated Charges in Nanohybrids by Laser Excitation Mass Spectrometry with Tetrabutylammonium Cationic Probe.

    Cheng, Yu-Hong / Ng, Kwan-Ming

    Analytical chemistry

    2020  Volume 92, Issue 15, Page(s) 10262–10267

    Abstract: Charge separation lays the foundation for photocatalysis and photovoltaics, in which the catalytic/voltaic efficiency is primarily related to the amount of separated charges generated. Yet, direct experimental approaches for the quantification of ... ...

    Abstract Charge separation lays the foundation for photocatalysis and photovoltaics, in which the catalytic/voltaic efficiency is primarily related to the amount of separated charges generated. Yet, direct experimental approaches for the quantification of separated charges are very limited, especially for nanostructures in small quantities. Here, by laser excitation mass spectrometry with tetrabutylammonium as a sensitive probe, the separated charges in gold-metal sulfide core-shell nanostructures are determined and correlated with the bandgap of the semiconductor shell. Moreover, the separated charges formed can already be detected unambiguously in only an attomole-level of nanoparticles (i.e., 1 × 10
    Language English
    Publishing date 2020-07-22
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1508-8
    ISSN 1520-6882 ; 0003-2700
    ISSN (online) 1520-6882
    ISSN 0003-2700
    DOI 10.1021/acs.analchem.0c01934
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: μ‐PESI‐based MS profiling combined with untargeted metabolomics analysis for rapid identification of red wine geographical origin

    Pu, Keyuan / Wang, Yue / Wei, Huiwen / Hu, Jun / Qiu, Jiamin / Chen, Siyu / Liu, Qian / Lin, Yan / Ng, Kwan‐Ming

    Journal of the Science of Food and Agriculture. 2024 Jan. 15, v. 104, no. 1, p. 546-552

    2024  , Page(s) 546–552

    Abstract: BACKGROUND: The commercial value of red wine is strongly linked to its geographical origin. Given the large global market, there is great demand for high‐throughput screening methods to authenticate the geographical source of red wine. However, only ... ...

    Abstract BACKGROUND: The commercial value of red wine is strongly linked to its geographical origin. Given the large global market, there is great demand for high‐throughput screening methods to authenticate the geographical source of red wine. However, only limited techniques have been established up to now. RESULTS: Herein, a sensitive and robust method, namely probe electrospray ionization mass spectrometry (μ‐PESI‐MS), was established to achieve rapid analysis at approximately 1.2 min per sample without any pretreatment. A scotch near the needle tip provides a fixed micro‐volume for each analysis to achieve satisfactory ion signal reproducibility (RSD < 26.7%). In combination with a machine learning algorithm, 16 characteristic ions were discovered from thousands of detected ions and were utilized for differentiating red wine origin. Among them, the relative abundances of two characteristic metabolites (trigonelline and proline) correlated with geographical conditions (sun exposure and water stress) were identified, providing the rationale for differentiation of the geographical origin. CONCLUSION: The proposed μ‐PESI‐MS‐based method demonstrates a promising high‐throughput determination capability in red wine traceability.
    Keywords agriculture ; algorithms ; electrospray ionization mass spectrometry ; metabolites ; metabolomics ; proline ; provenance ; rapid methods ; red wines ; traceability ; trigonelline ; water stress ; world markets
    Language English
    Dates of publication 2024-0115
    Size p. 546-552
    Publishing place John Wiley & Sons, Ltd.
    Document type Article ; Online
    Note JOURNAL ARTICLE
    ZDB-ID 184116-6
    ISSN 1097-0010 ; 0022-5142
    ISSN (online) 1097-0010
    ISSN 0022-5142
    DOI 10.1002/jsfa.12951
    Database NAL-Catalogue (AGRICOLA)

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  4. Article ; Online: MALDI-TOF MS Protein Profiling Combined with Multivariate Analysis for Identification and Quantitation of Beef Adulteration

    Pu, Keyuan / Qiu, Jiamin / Li, Jiaying / Huang, Wei / Lai, Xiaopin / Liu, Cheng / Lin, Yan / Ng, Kwan-Ming

    Food Anal. Methods. 2023 Jan., v. 16, no. 1 p.132-142

    2023  

    Abstract: The problem of adulteration and mislabeling in meat products has raised the public concerns globally. An easy-operation, fast, and robust method that is applicable to routine inspections is urgently needed. This study showed that the MALDI-TOF MS protein ...

    Abstract The problem of adulteration and mislabeling in meat products has raised the public concerns globally. An easy-operation, fast, and robust method that is applicable to routine inspections is urgently needed. This study showed that the MALDI-TOF MS protein profiling of four meat species (beef, chicken, duck, and pork) combining with partial least squares discriminant analysis (PLS-DA) discovered 57 feature peaks for their unambiguous differentiation. Among them, 36 were identified in Uniprot. Based on the linear relation between the intensities of feature peaks, the partial least squares regression was successfully applied to build the prediction models for determining the adulteration ratios of beef meat mixtures containing one of the other three species. Blind tests were applied to evaluate the method and the average prediction accuracy at 94.7% was achieved. Taking duck meat as the adulterant, the detection sensitivity of the method could be down to 5%. Moreover, the method has also been successfully applied to analyze market samples and the results were in agreement with the PCR method, showing the potential of its practical application for qualitative and quantitative analysis of adulterated beef products.
    Keywords adulterants ; adulterated products ; beef ; chickens ; detection limit ; discriminant analysis ; duck meat ; ducks ; markets ; multivariate analysis ; pork ; prediction ; quantitative analysis
    Language English
    Dates of publication 2023-01
    Size p. 132-142.
    Publishing place Springer US
    Document type Article ; Online
    ZDB-ID 2429656-9
    ISSN 1936-976X ; 1936-9751
    ISSN (online) 1936-976X
    ISSN 1936-9751
    DOI 10.1007/s12161-022-02403-2
    Database NAL-Catalogue (AGRICOLA)

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  5. Article: Sensitive Detection of Separated Charges in Nanohybrids by Laser Excitation Mass Spectrometry with Tetrabutylammonium Cationic Probe

    Cheng, Yu-Hong / Ng, Kwan-Ming

    Analytical chemistry. 2020 July 09, v. 92, no. 15

    2020  

    Abstract: Charge separation lays the foundation for photocatalysis and photovoltaics, in which the catalytic/voltaic efficiency is primarily related to the amount of separated charges generated. Yet, direct experimental approaches for the quantification of ... ...

    Abstract Charge separation lays the foundation for photocatalysis and photovoltaics, in which the catalytic/voltaic efficiency is primarily related to the amount of separated charges generated. Yet, direct experimental approaches for the quantification of separated charges are very limited, especially for nanostructures in small quantities. Here, by laser excitation mass spectrometry with tetrabutylammonium as a sensitive probe, the separated charges in gold–metal sulfide core–shell nanostructures are determined and correlated with the bandgap of the semiconductor shell. Moreover, the separated charges formed can already be detected unambiguously in only an attomole-level of nanoparticles (i.e., 1 × 10⁸ NPs).
    Keywords analytical chemistry ; mass spectrometry ; nanohybrids ; photocatalysis ; semiconductors ; solar energy ; sulfides ; tetrabutylammonium compounds
    Language English
    Dates of publication 2020-0709
    Size p. 10262-10267.
    Publishing place American Chemical Society
    Document type Article
    Note NAL-AP-2-clean
    ZDB-ID 1508-8
    ISSN 1520-6882 ; 0003-2700
    ISSN (online) 1520-6882
    ISSN 0003-2700
    DOI 10.1021/acs.analchem.0c01934
    Database NAL-Catalogue (AGRICOLA)

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  6. Article ; Online: μ-PESI-based MS profiling combined with untargeted metabolomics analysis for rapid identification of red wine geographical origin.

    Pu, Keyuan / Wang, Yue / Wei, Huiwen / Hu, Jun / Qiu, Jiamin / Chen, Siyu / Liu, Qian / Lin, Yan / Ng, Kwan-Ming

    Journal of the science of food and agriculture

    2023  Volume 104, Issue 1, Page(s) 546–552

    Abstract: Background: The commercial value of red wine is strongly linked to its geographical origin. Given the large global market, there is great demand for high-throughput screening methods to authenticate the geographical source of red wine. However, only ... ...

    Abstract Background: The commercial value of red wine is strongly linked to its geographical origin. Given the large global market, there is great demand for high-throughput screening methods to authenticate the geographical source of red wine. However, only limited techniques have been established up to now.
    Results: Herein, a sensitive and robust method, namely probe electrospray ionization mass spectrometry (μ-PESI-MS), was established to achieve rapid analysis at approximately 1.2 min per sample without any pretreatment. A scotch near the needle tip provides a fixed micro-volume for each analysis to achieve satisfactory ion signal reproducibility (RSD < 26.7%). In combination with a machine learning algorithm, 16 characteristic ions were discovered from thousands of detected ions and were utilized for differentiating red wine origin. Among them, the relative abundances of two characteristic metabolites (trigonelline and proline) correlated with geographical conditions (sun exposure and water stress) were identified, providing the rationale for differentiation of the geographical origin.
    Conclusion: The proposed μ-PESI-MS-based method demonstrates a promising high-throughput determination capability in red wine traceability.
    MeSH term(s) Wine/analysis ; Reproducibility of Results ; Spectrometry, Mass, Electrospray Ionization ; Metabolomics ; Ions/analysis
    Chemical Substances Ions
    Language English
    Publishing date 2023-09-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 184116-6
    ISSN 1097-0010 ; 0022-5142
    ISSN (online) 1097-0010
    ISSN 0022-5142
    DOI 10.1002/jsfa.12951
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Sensitive photoelectrochemical detection of colitoxin DNA based on NCDs@CuO/ZnO heterostructured nanocomposites with efficient separation capacity of photo-induced carriers.

    Zheng, Delun / Yang, Jianying / Zheng, Zengyao / Peng, Mingxuan / Ng, Kwan-Ming / Chen, Yaowen / Huang, Linjia / Gao, Wenhua

    Mikrochimica acta

    2022  Volume 189, Issue 4, Page(s) 166

    Abstract: A metal-organic framework (MOF) of Cu-TPA (terephthalic acid) microsphere was prepared, followed by calcinating the MOF precursor of Cu-TPA/ZIF-8 mixture to obtain the CuO/ZnO. N-doped carbon dots (NCDs) were employed to combine the CuO/ZnO composite to ... ...

    Abstract A metal-organic framework (MOF) of Cu-TPA (terephthalic acid) microsphere was prepared, followed by calcinating the MOF precursor of Cu-TPA/ZIF-8 mixture to obtain the CuO/ZnO. N-doped carbon dots (NCDs) were employed to combine the CuO/ZnO composite to form a tripartite heterostructured architecture of NCDs@CuO/ZnO, which led to a fierce enlargement of the photocurrent response. This  was ascribed to the thinner-shell structure of the CuO microsphere and the fact that hollow ZnO particles could sharply promote the incidence intensity of visible light. The more porous defectiveness exposed on CuO/ZnO surface was in favor of rapidly infiltrating electrolyte ions. The p-n type CuO/ZnO composite with more contact interface could abridge the transfer distance of photo-induced electron (e
    MeSH term(s) Carbon ; Copper ; DNA/genetics ; Nanocomposites ; Reproducibility of Results ; Zinc Oxide/chemistry
    Chemical Substances Carbon (7440-44-0) ; Copper (789U1901C5) ; DNA (9007-49-2) ; Zinc Oxide (SOI2LOH54Z) ; cupric oxide (V1XJQ704R4)
    Language English
    Publishing date 2022-03-30
    Publishing country Austria
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 89-9
    ISSN 1436-5073 ; 0026-3672
    ISSN (online) 1436-5073
    ISSN 0026-3672
    DOI 10.1007/s00604-022-05280-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Integration of Non-targeted Proteomics Mass Spectrometry with Machine Learning for Screening Cooked Beef Adulterated Samples.

    Pu, Keyuan / Qiu, Jiamin / Tong, Yongqi / Liu, Bolin / Cheng, Zibin / Chen, Siyu / Ni, Wen-Xiu / Lin, Yan / Ng, Kwan-Ming

    Journal of agricultural and food chemistry

    2022  Volume 71, Issue 4, Page(s) 2173–2182

    Abstract: The degradation of ingredients in heat-processed meat products makes their authentication challenging. In this study, protein profiles of raw beef, chicken, duck, pork, and binary simulated adulterated beef samples (chicken-beef, duck-beef, and pork-beef) ...

    Abstract The degradation of ingredients in heat-processed meat products makes their authentication challenging. In this study, protein profiles of raw beef, chicken, duck, pork, and binary simulated adulterated beef samples (chicken-beef, duck-beef, and pork-beef) and their heat-processed samples were obtained by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Heat-stable characteristic proteins were found by screening the overlapping characteristic protein ion peaks of the raw and corresponding heat-processed samples, which were discovered by partial least-squares discriminant analysis. Based on the 36 heat-stable characteristic proteins, qualitative classification for the raw and heat-processed meats was achieved by extreme gradient boosting. Moreover, quantitative analysis via partial least squares regression was applied to determine the adulteration ratio of the simulated adulterated beef samples. The validity of the approach was confirmed by a blind test with the mean accuracy of 97.4%. The limit of detection and limit of quantification of this method were determined to be 5 and 8%, respectively, showing its practical aspect for the beef authentication.
    MeSH term(s) Animals ; Cattle ; Proteomics ; Red Meat/analysis ; Meat/analysis ; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization ; Machine Learning
    Language English
    Publishing date 2022-12-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 241619-0
    ISSN 1520-5118 ; 0021-8561
    ISSN (online) 1520-5118
    ISSN 0021-8561
    DOI 10.1021/acs.jafc.2c06266
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Hierarchical superstructure aerogels for

    Chen, Siyu / Pu, Keyuan / Wang, Yue / Su, Yang / Qiu, Jiamin / Wang, Xin / Guo, Kunbin / Hu, Jun / Wei, Huiwen / Wang, Hongbiao / Wei, Xiaolong / Chen, Yuping / Lin, Wen / Ni, Wenxiu / Lin, Yan / Chen, Jiayang / Lai, Samuel Kin-Man / Ng, Kwan-Ming

    Nanoscale

    2024  Volume 16, Issue 17, Page(s) 8607–8617

    Abstract: High-throughput biofluid metabolomics analysis for screening life-threatening diseases is urgently needed. However, the high salt content of biofluid samples, which introduces severe interference, can greatly limit the analysis throughput. Here, a new 3- ... ...

    Abstract High-throughput biofluid metabolomics analysis for screening life-threatening diseases is urgently needed. However, the high salt content of biofluid samples, which introduces severe interference, can greatly limit the analysis throughput. Here, a new 3-D interconnected hierarchical superstructure, namely a "plasmonic gold-on-silica (Au/SiO
    MeSH term(s) Humans ; Metabolomics ; Silicon Dioxide/chemistry ; Gold/chemistry ; Gels/chemistry ; Lung Neoplasms/metabolism ; Lung Neoplasms/pathology ; Nanostructures/chemistry
    Chemical Substances Silicon Dioxide (7631-86-9) ; Gold (7440-57-5) ; Gels
    Language English
    Publishing date 2024-05-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 2515664-0
    ISSN 2040-3372 ; 2040-3364
    ISSN (online) 2040-3372
    ISSN 2040-3364
    DOI 10.1039/d3nr05895f
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Serum Lipidomic Fingerprints Encode Early Diagnosis and Staging of Lung Cancer on a Novel PbS/Au-Layered Substrate.

    Lai, Xiaopin / Liang, Kaiqing / Su, Yang / Guo, Kunbin / Wang, Xin / Wan, Yanpei / Ye, Cuiqiong / Zhou, Chengke / Chen, Rongjia / Gao, Wenhua / Chen, Yuping / Lin, Wen / Ni, Wenxiu / Lin, Yan / Ng, Kwan-Ming

    ACS applied materials & interfaces

    2023  Volume 15, Issue 30, Page(s) 36877–36887

    Abstract: Lung cancer (LC) is a major cause of mortality among malignant tumors. Early diagnosis through lipidomic profiling can improve prognostic outcomes. In this study, a uniform PbS/Au-layered substrate that enhances the laser desorption/ionization process, ... ...

    Abstract Lung cancer (LC) is a major cause of mortality among malignant tumors. Early diagnosis through lipidomic profiling can improve prognostic outcomes. In this study, a uniform PbS/Au-layered substrate that enhances the laser desorption/ionization process, an interfacial process triggered on the substrate surface upon laser excitation, was designed to efficiently characterize the lipidomic profiles of LC patient serum. By controlling the stacking arrangement and particle sizes of PbS QDs and AuNPs, the optimized substrate promotes the generation of excited electrons and creates an enhanced electric field that polarizes analyte molecules, facilitating ion adduction formation ([M + Na]
    MeSH term(s) Humans ; Lipidomics ; Gold/chemistry ; Early Detection of Cancer ; Metal Nanoparticles/chemistry ; Lung Neoplasms/metabolism ; Biomarkers ; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization/methods
    Chemical Substances Gold (7440-57-5) ; Biomarkers
    Language English
    Publishing date 2023-07-18
    Publishing country United States
    Document type Journal Article
    ISSN 1944-8252
    ISSN (online) 1944-8252
    DOI 10.1021/acsami.3c03693
    Database MEDical Literature Analysis and Retrieval System OnLINE

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