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Article ; Online: Synthesis of Cu-doped carbon dot/chitosan film composite as a catalyst for the colorimetric detection of hydrogen peroxide and glucose.

Tummala, Srikrishna / Bandi, Rajkumar / Ho, Yen-Peng

2022 Volume 189, Issue 8, Page(s) 284

Abstract: The use of colloidal nanoparticles suffers from the drawbacks of potential color interference and substrate-induced aggregation. To overcome the limitations, a catalyst was developed by crosslinking Cu-doped carbon dots (Cu-CDs) with chitosan. Cu-CDs ... ...

Abstract	The use of colloidal nanoparticles suffers from the drawbacks of potential color interference and substrate-induced aggregation. To overcome the limitations, a catalyst was developed by crosslinking Cu-doped carbon dots (Cu-CDs) with chitosan. Cu-CDs with high peroxidase activity were prepared by using a rapid microwave-assisted method. The Cu-CDs containing 6.88% of Cu had an average particle size of 2.25 nm and exhibited 9% of fluorescence quantum yield. The nanozyme/film composite was prepared by crosslinking between the amino groups of Cu-CDs and those of chitosan via a glutaraldehyde linker. A H
MeSH term(s)	Carbon ; Chitosan ; Colorimetry/methods ; Glucose ; Humans ; Hydrogen Peroxide ; Peroxidases
Chemical Substances	Carbon (7440-44-0) ; Chitosan (9012-76-4) ; Hydrogen Peroxide (BBX060AN9V) ; Peroxidases (EC 1.11.1.-) ; Glucose (IY9XDZ35W2)
Language	English
Publishing date	2022-07-19
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/s00604-022-05386-3
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Article ; Online: Boron, and nitrogen co-doped carbon dots as a multiplexing probe for sensing of p-nitrophenol, Fe (III), and temperature.

Tummala, Srikrishna / Lee, Chia-Hung / Ho, Yen-Peng

Nanotechnology

2021 Volume 32, Issue 26

Abstract: Boron and nitrogen co-doped carbon dots (B, N-CDs) were fabricated through a simple, one-step hydrothermal reaction of citric acid, boric acid, and tris base. The obtained B, N-CDs exhibit excitation-dependent fluorescence, high quantum yield (QY), ... ...

Abstract	Boron and nitrogen co-doped carbon dots (B, N-CDs) were fabricated through a simple, one-step hydrothermal reaction of citric acid, boric acid, and tris base. The obtained B, N-CDs exhibit excitation-dependent fluorescence, high quantum yield (QY), biocompatibility, photostability, and aqueous solubility. The QY was substantially increased to 57% by doping boron atoms. Furthermore, the fluorescence intensity of B, N-CDs was temperature-dependent and decreased linearly from 283 to 333 K. The prepared B, N-CDs were used as a fluorescence probe for the detection of
Language	English
Publishing date	2021-04-06
Publishing country	England
Document type	Journal Article
ZDB-ID	1362365-5
ISSN	1361-6528 ; 0957-4484
ISSN (online)	1361-6528
ISSN	0957-4484
DOI	10.1088/1361-6528/abeeb6
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Article ; Online: Rapid Quantification of Polyhydroxybutyrate Polymer from Single Bacterial Cells with Mass Spectrometry.

Liang, Shao-Yu / Wan, Shih-Chih / Ho, Yen-Peng / Horng, Yu-Tze / Soo, Po-Chi / Peng, Wen-Ping

Analytical chemistry

2022 Volume 94, Issue 34, Page(s) 11734–11738

Abstract: Polyhydroxyalkanoate (PHA) is one of the biocompatible and biodegradable plastics that can be produced and accumulated as granules inside microorganisms. In this study, a new approach to rapidly quantify a short-chain-length PHA, polyhydroxybutyrate (PHB) ...

Abstract	Polyhydroxyalkanoate (PHA) is one of the biocompatible and biodegradable plastics that can be produced and accumulated as granules inside microorganisms. In this study, a new approach to rapidly quantify a short-chain-length PHA, polyhydroxybutyrate (PHB), produced from genetically engineered
MeSH term(s)	Escherichia coli ; Gas Chromatography-Mass Spectrometry ; Hydroxybutyrates ; Mass Spectrometry/methods ; Polyesters ; Polymers
Chemical Substances	Hydroxybutyrates ; Polyesters ; Polymers
Language	English
Publishing date	2022-08-17
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.2c02807
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Article: Rapid Quantification of Polyhydroxybutyrate Polymer from Single Bacterial Cells with Mass Spectrometry

Liang, Shao-Yu / Wan, Shih-Chih / Ho, Yen-Peng / Horng, Yu-Tze / Soo, Po-Chi / Peng, Wen-Ping

Analytical chemistry. 2022 Aug. 17, v. 94, no. 34

2022

Abstract	Polyhydroxyalkanoate (PHA) is one of the biocompatible and biodegradable plastics that can be produced and accumulated as granules inside microorganisms. In this study, a new approach to rapidly quantify a short-chain-length PHA, polyhydroxybutyrate (PHB), produced from genetically engineered Escherichia coli containing phaCAB is presented. The mass of each bacterial cell was measured using a laser-induced radio frequency (rf) plasma charge detection quadrupole ion trap mass spectrometer (LIRFP CD QIT-MS), and then, the PHB contents were determined by calculating the change in cellular mass. The quantitative results showed that the PHB contents measured by LIRFP CD QIT-MS were consistent with those by reference analysis, gas chromatography (GC). The PHB content of each bacterial sample can be obtained within 20 min from sampling using LIRFP CD QIT-MS while GC analysis takes 2 days. In addition, LIRFP CD QIT-MS does not use any hazardous chemicals in cellular mass quantification as compared to GC. This indicates that LIRFP CD QIT-MS has potential in routine monitoring of PHB production.
Keywords	Escherichia coli ; analytical chemistry ; bacteria ; gas chromatography ; mass spectrometry ; polyhydroxybutyrate ; radio waves ; spectrometers
Language	English
Dates of publication	2022-0817
Size	p. 11734-11738.
Publishing place	American Chemical Society
Document type	Article
ZDB-ID	1508-8
ISSN	1520-6882 ; 0003-2700
ISSN (online)	1520-6882
ISSN	0003-2700
DOI	10.1021/acs.analchem.2c02807
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Article: Quantitative analysis of genetically modified soya using multiple reaction monitoring mass spectrometry with endogenous peptides as internal standards.

Devi, Shobha / Lin, Yi-Cheng / Ho, Yen-Peng

European journal of mass spectrometry (Chichester, England)

2018 Volume 25, Issue 1, Page(s) 50–57

Abstract: A simple label-free method was developed for the quantification of the herbicide-resistant gene-related protein 5-enolpyruvylshikimate-3-phosphate synthase using multiple reaction monitoring liquid chromatography-mass spectrometry. Sample pretreatment ... ...

Abstract	A simple label-free method was developed for the quantification of the herbicide-resistant gene-related protein 5-enolpyruvylshikimate-3-phosphate synthase using multiple reaction monitoring liquid chromatography-mass spectrometry. Sample pretreatment procedures including ion exchange chromatography and CaCl
MeSH term(s)	3-Phosphoshikimate 1-Carboxyvinyltransferase/chemistry ; 3-Phosphoshikimate 1-Carboxyvinyltransferase/genetics ; 3-Phosphoshikimate 1-Carboxyvinyltransferase/metabolism ; Chromatography, High Pressure Liquid/methods ; Chromatography, High Pressure Liquid/standards ; Mass Spectrometry/methods ; Mass Spectrometry/standards ; Peptide Mapping ; Peptides/chemistry ; Reference Standards ; Soybean Proteins/chemistry ; Soybean Proteins/genetics ; Soybean Proteins/metabolism ; Glycine max/chemistry ; Glycine max/enzymology ; Glycine max/genetics
Chemical Substances	Peptides ; Soybean Proteins ; 3-Phosphoshikimate 1-Carboxyvinyltransferase (EC 2.5.1.19)
Language	English
Publishing date	2018-09-25
Publishing country	England
Document type	Evaluation Study ; Journal Article
ISSN	1469-0667
ISSN	1469-0667
DOI	10.1177/1469066718802548
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Article: Diagnostic Accuracy of Deep Learning for the Prediction of Osteoporosis Using Plain X-rays: A Systematic Review and Meta-Analysis.

Yen, Tzu-Yun / Ho, Chan-Shien / Chen, Yueh-Peng / Pei, Yu-Cheng

Diagnostics (Basel, Switzerland)

2024 Volume 14, Issue 2

Abstract: 1) Background: This meta-analysis assessed the diagnostic accuracy of deep learning model-based osteoporosis prediction using plain X-ray images. (2) Methods: We searched PubMed, Web of Science, SCOPUS, and Google Scholar from no set beginning date to ... ...

Abstract	(1) Background: This meta-analysis assessed the diagnostic accuracy of deep learning model-based osteoporosis prediction using plain X-ray images. (2) Methods: We searched PubMed, Web of Science, SCOPUS, and Google Scholar from no set beginning date to 28 February 2023, for eligible studies that applied deep learning methods for diagnosing osteoporosis using X-ray images. The quality of studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 criteria. The area under the receiver operating characteristic curve (AUROC) was used to quantify the predictive performance. Subgroup, meta-regression, and sensitivity analyses were performed to identify the potential sources of study heterogeneity. (3) Results: Six studies were included; the pooled AUROC, sensitivity, and specificity were 0.88 (95% confidence interval [CI] 0.85-0.91), 0.81 (95% CI 0.78-0.84), and 0.87 (95% CI 0.81-0.92), respectively, indicating good performance. Moderate heterogeneity was observed. Mega-regression and subgroup analyses were not performed due to the limited number of studies included. (4) Conclusion: Deep learning methods effectively extract bone density information from plain radiographs, highlighting their potential for opportunistic screening. Nevertheless, additional prospective multicenter studies involving diverse patient populations are required to confirm the applicability of this novel technique.
Language	English
Publishing date	2024-01-18
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2662336-5
ISSN	2075-4418
ISSN	2075-4418
DOI	10.3390/diagnostics14020207
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Article ; Online: Identification of bacteria in juice/lettuce using magnetic nanoparticles and selected reaction monitoring mass spectrometry.

Chen, Cheng-Tung / Yu, Je-Wei / Ho, Yen-Peng

Journal of food and drug analysis

2018 Volume 27, Issue 2, Page(s) 575–584

Abstract: Ensuring food safety requires a rapid and reliable method for detecting food-borne pathogens. Mass spectrometry has been demonstrated as a powerful tool to classify pure bacterial species. However, matrix interference from food backgrounds may lead to ... ...

Abstract	Ensuring food safety requires a rapid and reliable method for detecting food-borne pathogens. Mass spectrometry has been demonstrated as a powerful tool to classify pure bacterial species. However, matrix interference from food backgrounds may lead to false results because of the suppression of microbial signals. It is useful to develop a method for bacterial enrichment and marker identification in food samples. Magnetic zirconia nanoparticles were used to concentrate spiked microorganisms from apple juice/lettuce under specific conditions (pH 4.5). Bacterial identification was achieved using nanoLC-MS. Selected reaction monitoring of bacteria-related peptides was applied for the first time to identify bacteria including Staphylococcus aureus and Escherichia coli. This study presents an accurate means for bacterial identification in food matrixes using MS. The analysis time is less than 90 min and the minimum concentration of E. coli detected was 5 × 10
MeSH term(s)	Escherichia coli/isolation & purification ; Fruit and Vegetable Juices/microbiology ; Humans ; Lactuca/microbiology ; Magnetite Nanoparticles/chemistry ; Mass Spectrometry ; Staphylococcus aureus/isolation & purification ; Zirconium/chemistry
Chemical Substances	Magnetite Nanoparticles ; Zirconium (C6V6S92N3C) ; zirconium oxide (S38N85C5G0)
Language	English
Publishing date	2018-10-26
Publishing country	China (Republic : 1949- )
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	2224-6614
ISSN (online)	2224-6614
DOI	10.1016/j.jfda.2018.09.006
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Article ; Online: Mass spectrometry combined with affinity probes for the identification of CP4 EPSPS in genetically modified soybeans.

Devi, Shobha / Chu, Pei-Yu / Wu, Bo-Hung / Ho, Yen-Peng

Journal of mass spectrometry : JMS

2019 Volume 55, Issue 2, Page(s) e4371

Abstract: Sample preparation methods used for genetically modified organisms (GMOs) analysis are often time consuming, require extensive manual manipulation, and result in limited amounts of purified protein, which may complicate the detection of low-abundance GM ... ...

Abstract	Sample preparation methods used for genetically modified organisms (GMOs) analysis are often time consuming, require extensive manual manipulation, and result in limited amounts of purified protein, which may complicate the detection of low-abundance GM protein. A robust sample pretreatment method prior to mass spectrometry (MS) detection of the transgenic protein (5-enolpyruvylshikimate-3-phosphate synthase [CP4 EPSPS]) present in Roundup Ready soya is investigated. Liquid chromatography-multiple reaction monitoring tandem MS (nano LC-MS/MS-MRM) was used for the detection and quantification of CP4 EPSPS. Gold nanoparticles (AuNPs) and concanavalin A (Con A)-immobilized Sepharose 4B were used as selective probes for the separation of the major storage proteins in soybeans. AuNPs that enable the capture of cysteine-containing proteins were used to reduce the complexity of the crude extract of GM soya. Con A-sepharose was used for the affinity capture of β-conglycinin and other glycoproteins of soya prior to enzymatic digestion. The methods enabled the detection of unique peptides of CP4 EPSPS at a level as low as 0.5% of GM soya in MRM mode. Stable-isotope dimethyl labeling was further applied to the quantification of GM soya. Both probes exhibited high selectivity and efficiency for the affinity capture of storage proteins, leading to the quantitative detection at 0.5% GM soya, which is a level below the current European Union's threshold for food labeling. The square correlation coefficients were greater than 0.99. The approach for sample preparation is very simple without the need for time-consuming protein prefractionation or separation procedures and thus presents a significant improvement over existing methods for the analysis of the GM soya protein.
MeSH term(s)	3-Phosphoshikimate 1-Carboxyvinyltransferase/analysis ; Chromatography, Affinity/methods ; Concanavalin A/metabolism ; Gold ; Metal Nanoparticles ; Plants, Genetically Modified/chemistry ; Soybean Proteins/isolation & purification ; Soybean Proteins/metabolism ; Glycine max/chemistry ; Tandem Mass Spectrometry/methods
Chemical Substances	Soybean Proteins ; Concanavalin A (11028-71-0) ; Gold (7440-57-5) ; 3-Phosphoshikimate 1-Carboxyvinyltransferase (EC 2.5.1.19)
Language	English
Publishing date	2019-06-18
Publishing country	England
Document type	Journal Article
ZDB-ID	1221763-3
ISSN	1096-9888 ; 1076-5174
ISSN (online)	1096-9888
ISSN	1076-5174
DOI	10.1002/jms.4371
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Article: Fluorescent Mesoporous Nanoparticles for β-Lactamase Screening Assays.

Tummala, Srikrishna / Huang, Wei-An / Wu, Bo-Hong / Chang, Kai-Chih / Ho, Yen-Peng

ChemistryOpen

2020 Volume 9, Issue 10, Page(s) 1074–1081

Abstract: We present a sensitive and rapid screening method for the determination of β-lactamase activity of antibiotic-resistant bacteria, by designing a pH-sensitive fluorescent dye-doped mesoporous silica nanoparticle encapsulated with penicillin G as a ... ...

Abstract	We present a sensitive and rapid screening method for the determination of β-lactamase activity of antibiotic-resistant bacteria, by designing a pH-sensitive fluorescent dye-doped mesoporous silica nanoparticle encapsulated with penicillin G as a substrate. When penicillin G was hydrolysed by β-lactamase and converted into penicilloic acid, the acidic environment resulted in fluorescence quenching of the dye. The dye-doped mesoporous nanoparticles not only enhanced the β-lactamase-catalyzed reaction rate but also stablized the substrate, penicillin G, which degrades into penicilloic acid in a water solution without β-lactamase. Twentyfive clinical bacterial samples were tested and the antibiotic resistant and susceptible strains were identified. The proposed method may detect the presence of β -lactamases of clinically relevant samples in less than 1 hour. Moreover, the detection limit of β-lactamase activity was as low as 7.8×10
MeSH term(s)	Biocatalysis ; Enzyme Assays/methods ; Fluorescent Dyes/chemistry ; Kinetics ; Nanoparticles/chemistry ; Penicillin G/chemistry ; Porosity ; Time Factors ; Water/chemistry ; beta-Lactamases/chemistry ; beta-Lactamases/metabolism
Chemical Substances	Fluorescent Dyes ; Water (059QF0KO0R) ; beta-Lactamases (EC 3.5.2.6) ; Penicillin G (Q42T66VG0C)
Language	English
Publishing date	2020-10-23
Publishing country	Germany
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2655605-4
ISSN	2191-1363
ISSN	2191-1363
DOI	10.1002/open.202000221
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Article ; Online: Selective Capture and Identification of Methicillin-Resistant

Liu, Yu-Chen / Kumar, Katragunta / Wu, Cheng-Hsiu / Chang, Kai-Chih / Chiang, Cheng-Kang / Ho, Yen-Peng

International journal of molecular sciences

2021 Volume 22, Issue 12

Abstract: A nucleic acid aptamer that specifically recognizes methicillin- ... ...

Abstract	A nucleic acid aptamer that specifically recognizes methicillin-resistant
MeSH term(s)	Aptamers, Nucleotide/chemistry ; Magnetite Nanoparticles/chemistry ; Methicillin-Resistant Staphylococcus aureus/cytology ; Methicillin-Resistant Staphylococcus aureus/isolation & purification ; SELEX Aptamer Technique/methods ; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization/methods
Chemical Substances	Aptamers, Nucleotide ; Magnetite Nanoparticles
Language	English
Publishing date	2021-06-18
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2019364-6
ISSN	1422-0067 ; 1422-0067 ; 1661-6596
ISSN (online)	1422-0067
ISSN	1422-0067 ; 1661-6596
DOI	10.3390/ijms22126571
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