Development of a Comprehensive Analytical Method for Semi-Volatile Organic Compounds in Sediments by Using an Automated Identification and Quantification System with a GC-MS Database

Kadokami, Kiwao; Pan, Shuangye; Hanh, Duong Thi; Li, Xuehua; Miyazaki, Terumi

doi:10.2116/analsci.28.1183

Cited by 32 publications

(13 citation statements)

References 8 publications

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“…Dichloromethane and acetone were used as extraction solvents because they are suitable for a wide range of OCs (Kadokami et al, 2012).…”

Section: Optimization Of Sample Pretreatmentmentioning

confidence: 99%

“…For example, G omez et al (2009) introduced a novel method for simultaneous analysis of 934 OCs in water. Kadokami et al (2005) developed a comprehensive screening method for nearly 700 OCs in environmental samples and applied to nearly 1000 OCs recently (Kadokami et al, 2012). In our previous studies, a broad spectrum of 50 phenols were screened using retention time locking (RTL) technology and deconvolution reporting software (DRS) (Zhong et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…Our previous methods are sufficient for qualitative screening, but are insufficient for quantitative analysis. Previously a single random internal standard was used to quantify all OCs (Kadokami et al, 2005(Kadokami et al, , 2012 and the accuracy of quantitative analysis was seldom reported. This may lead to bias in quantification results as response factors (RFs) of chemicals differ on mass selective detector (MSD).…”

Section: Introductionmentioning

confidence: 99%

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A high throughout semi-quantification method for screening organic contaminants in river sediments

Bu¹,

Liu²,

Wang³

2014

Journal of Environmental Management

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a b s t r a c tA high throughout semi-quantification method for screening nearly 900 organic contaminants (OCs) in river sediments has been developed. For most OCs tested, concentrations calculated from the proposed semi-quantification method deviated from actual values by a factor of 4. The overall recovery tests indicated that most OCs can be successfully extracted from sediments with recovery rates from 84.1 to 128.6%. To demonstrate the effectiveness of our method towards OC quantification, we screened OCs from sediments collected from the Haihe River basin. Seventy unregulated OCs (including pesticides, flame retardants, PPCPs, etc.) were identified and quantified at concentrations up to 2600 ng/g from 24 sediment samples. From these results, it is confirmed that the developed method is a useful way to fulfill a comprehensive analysis of OCs in sediments and would be valuable for the identification and prioritization of priority pollutants in watershed management.

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“…Dichloromethane and acetone were used as extraction solvents because they are suitable for a wide range of OCs (Kadokami et al, 2012).…”

Section: Optimization Of Sample Pretreatmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A high throughout semi-quantification method for screening organic contaminants in river sediments

Bu¹,

Liu²,

Wang³

2014

Journal of Environmental Management

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“…Alternatively, methods that fulfill the goal of high throughout screening of OMs in environmental samples are gaining attractive prospects for environmental scientists and managers, because the screening method could analyze several hundreds or even more OMs simultaneously. Several methods for screening organic micropollutants in the aquatic environment have been reported (Gómez et al, 2009;Kadokami et al, 2012Kadokami et al, , 2005 and are proven to be useful for screening environmental samples Kadokami et al, 2013;Pan et al, 2014). In our previous study, a method for screening 50 phenols in water was established and applied in the case of Taihu Lake (Zhong et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Screening for over 1000 organic micropollutants in surface water and sediments in the Liaohe River watershed

Luo

Wang

et al. 2015

Chemosphere

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h i g h l i g h t sThe reliability and usefulness of high throughout screening method was evaluated. The massive qualitative data help unveil pollution profiles among different sites. The semi-quantification results agree well with those from target analysis. The high throughout method is proven be a valuable tool in watershed management. a r t i c l e i n f o b s t r a c tHigh throughout screening method has gained attractive prospects because it offers a fast and effective approach to obtain a holistic picture of organic micropollutant (OM) pollution in a site specific environment. However, reliability and usefulness of the generated data sets for OM pollution profiles and occurrence levels have not been fully evaluated. In this paper, we screened 1030 OMs in surface water and sediments from the selected rivers of the Liaohe River watershed to (1) examine the usefulness of using qualitative data to gain insights into source identification and (2) further evaluate the reliability of the semi-quantification results in a filed study. The results showed that 81 and 89 OMs at concentrations up to 5670 ng/L and 6714 ng/g were identified in surface water and sediments, respectively. Qualitative data could be used to identify the similarity (or dissimilarity) of pollution sources at different locations for surface water, which could provide insights for source back tracking of water contamination. Accuracy tests showed that our semi-quantification results agree well with those from previously reported values and our target analysis. Though our results for the majority of newly quantified OMs need to be further confirmed, we have demonstrated that this method is suitable for understanding the pollution characteristics and occurrence levels of OMs in the environment for environmental scientists and managers.

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“…The Kadokami et al (2005) automated identification and quantification system with database (AIQS-DB) method was originally developed for screening unknown pollutants in environmental samples after incidents, e.g. fish kills, food contamination scares or the unknown number of harmful chemicals discharged into the environment after disasters such as large-scale fires and earthquakes, and has since successfully been applied to both water and sediment samples from rivers and estuaries in Japan (Kadokami et al 2009;Pan et al 2014), in Vietnam (Kadokami et al 2012;Duong et al 2014) and Victorian wastewater treatment plant effluents . Consequently, when applied to river water, as in this study, this GC-MS-database (DB) method can give a good indication of the presence of some TrOCs that would not otherwise be identified if samples were to be subjected to only a very limited number of analytical screens for a limited number of target chemicals.…”

Section: Introductionmentioning

confidence: 99%

Combining Passive Sampling with a GC-MS-Database Screening Tool to Assess Trace Organic Contamination of Rivers: a Pilot Study in Melbourne, Australia

Allinson

Kadokami

2015

Water Air Soil Pollut

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This study assessed the suitability of passive sampler extracts for use with a GC-MS-database rapid screening technique for around 940 organic chemicals. Chemcatcher™ passive sampler systems containing either Empore™ SDB-XC or C18FF disks were deployed at 21 riverine sites in and near Melbourne, Victoria, Australia, for a period of 28 days during SeptemberOctober 2008. Methanolic elution of the SDB-XC and C18FF disks produced an extract that, after evaporation and inversion into hexane, was compatible with the GC-MS-database method enabling over 30 chemicals to be observed. The sources of the non-agricultural chemicals are still unclear, but this study was conducted in a relatively dry season where total rainfall was approximately 40 % lower than the long-term mean for the catchment during the study period.

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Development of a Comprehensive Analytical Method for Semi-Volatile Organic Compounds in Sediments by Using an Automated Identification and Quantification System with a GC-MS Database

Cited by 32 publications

References 8 publications

A high throughout semi-quantification method for screening organic contaminants in river sediments

A high throughout semi-quantification method for screening organic contaminants in river sediments

Screening for over 1000 organic micropollutants in surface water and sediments in the Liaohe River watershed

Combining Passive Sampling with a GC-MS-Database Screening Tool to Assess Trace Organic Contamination of Rivers: a Pilot Study in Melbourne, Australia

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