Shoo Peng Koh - Academia.edu (original) (raw)

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Papers by Shoo Peng Koh

Research paper thumbnail of Identification and Characterization of Mercury Contamination in Vegetables and Herbs Cultivated on a Commercial Vertical Indoor Farming System with Light-Emitting Diode Lighting: Unveiling an Unusual Food Safety Risk of Some Improperly Manufactured High-Density Agricultural Production Systems

Journal of Agricultural and Food Chemistry

Research paper thumbnail of Data for: Multivariate Statistical Analysis of Stable Isotope Signatures and Element Concentrations to Differentiate the Geographical Origin of Retail Milk Sold in Singapore

Dataset to accompany the manuscript: Multivariate Statistical Analysis of Stable Isotope Signatur... more Dataset to accompany the manuscript: Multivariate Statistical Analysis of Stable Isotope Signatures and Element Concentrations to Differentiate the Geographical Origin of Retail Milk Sold in Singapore

Research paper thumbnail of An effective approach for size characterization and mass quantification of silica nanoparticles in coffee creamer by AF4-ICP-MS

Analytical and Bioanalytical Chemistry, 2020

Silicon dioxide (SiO 2) has been used as a food additive (E551) for decades. However, some safety... more Silicon dioxide (SiO 2) has been used as a food additive (E551) for decades. However, some safety concerns have been raised recently due to the detection of silica nanoparticles (SiO 2 NPs) in a variety of foodstuffs and their unknown long-term health risk to humans. In order for risk assessment to be conducted, it is essential to establish a reliable, valid, and pragmatic method for analysis of SiO 2 NPs in foods for estimation of exposure. This paper presents an effective approach for both size characterization and mass quantification of SiO 2 NPs in commercial high-fat coffee creamer using asymmetric flow field-flow fractionation (AF4) coupled to inductively coupled plasma mass spectrometry (ICP-MS). SiO 2 NPs from coffee creamer were well extracted after cleanup with hexane in a two-phase (hexane vs. water) aqueous environment. Size determination of SiO 2 NPs was performed by on-line AF4-ICP-MS based on calibration with monodispersed standards. The dominant primary size of SiO 2 NPs in the studied sample was 36.5 nm. The mass percentages of SiO 2 NPs (vs. total SiO 2) were 18.6% for the dominant primary nano-silica particles by prechannel calibration and 35.7% for total SiO 2 NPs (≤ 100 nm) by postchannel calibration, with recoveries of 89-96% for the former and 75% for the latter. The established approach was demonstrated to be efficient and practical for routine analysis of polydispersed SiO 2 NPs with wide nano-size distribution in coffee creamer. This method may be extended to monitor the presence of SiO 2 NPs in other similar complex food matrices.

Research paper thumbnail of A study on natural and anthropogenic radionuclides in farmed fish and shellfish in Singapore

Journal of Radioanalytical and Nuclear Chemistry

Research paper thumbnail of Multivariate statistical analysis of stable isotope signatures and element concentrations to differentiate the geographical origin of retail milk sold in Singapore

Research paper thumbnail of Identification and Characterization of Mercury Contamination in Vegetables and Herbs Cultivated on a Commercial Vertical Indoor Farming System with Light-Emitting Diode Lighting: Unveiling an Unusual Food Safety Risk of Some Improperly Manufactured High-Density Agricultural Production Systems

Journal of Agricultural and Food Chemistry

Research paper thumbnail of Data for: Multivariate Statistical Analysis of Stable Isotope Signatures and Element Concentrations to Differentiate the Geographical Origin of Retail Milk Sold in Singapore

Dataset to accompany the manuscript: Multivariate Statistical Analysis of Stable Isotope Signatur... more Dataset to accompany the manuscript: Multivariate Statistical Analysis of Stable Isotope Signatures and Element Concentrations to Differentiate the Geographical Origin of Retail Milk Sold in Singapore

Research paper thumbnail of An effective approach for size characterization and mass quantification of silica nanoparticles in coffee creamer by AF4-ICP-MS

Analytical and Bioanalytical Chemistry, 2020

Silicon dioxide (SiO 2) has been used as a food additive (E551) for decades. However, some safety... more Silicon dioxide (SiO 2) has been used as a food additive (E551) for decades. However, some safety concerns have been raised recently due to the detection of silica nanoparticles (SiO 2 NPs) in a variety of foodstuffs and their unknown long-term health risk to humans. In order for risk assessment to be conducted, it is essential to establish a reliable, valid, and pragmatic method for analysis of SiO 2 NPs in foods for estimation of exposure. This paper presents an effective approach for both size characterization and mass quantification of SiO 2 NPs in commercial high-fat coffee creamer using asymmetric flow field-flow fractionation (AF4) coupled to inductively coupled plasma mass spectrometry (ICP-MS). SiO 2 NPs from coffee creamer were well extracted after cleanup with hexane in a two-phase (hexane vs. water) aqueous environment. Size determination of SiO 2 NPs was performed by on-line AF4-ICP-MS based on calibration with monodispersed standards. The dominant primary size of SiO 2 NPs in the studied sample was 36.5 nm. The mass percentages of SiO 2 NPs (vs. total SiO 2) were 18.6% for the dominant primary nano-silica particles by prechannel calibration and 35.7% for total SiO 2 NPs (≤ 100 nm) by postchannel calibration, with recoveries of 89-96% for the former and 75% for the latter. The established approach was demonstrated to be efficient and practical for routine analysis of polydispersed SiO 2 NPs with wide nano-size distribution in coffee creamer. This method may be extended to monitor the presence of SiO 2 NPs in other similar complex food matrices.

Research paper thumbnail of A study on natural and anthropogenic radionuclides in farmed fish and shellfish in Singapore

Journal of Radioanalytical and Nuclear Chemistry

Research paper thumbnail of Multivariate statistical analysis of stable isotope signatures and element concentrations to differentiate the geographical origin of retail milk sold in Singapore

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