Pub Date : 2025-10-30DOI: 10.1016/j.talo.2025.100587
Huda Salem AlSalem , Sara Naif Alharbi , Mohamed A Abdel-Lateef , Rabeea D. Abdel-Rahim , Wesam M. El-Koussi
The increasing use of industrial chemicals has raised major concerns about their environmental and health impacts, with bisphenol A (BPA) being one of the most widely studied contaminants. In this work, we introduce a proof-of-concept approach that combines the peroxidase-like catalytic activity of silver nanowires (AgNWs) with a salting-out assisted liquid–liquid extraction (SALLE) strategy for BPA detection. AgNWs catalyze the oxidation of 3,3′,5,5′-tetramethylbenzidine (TMB) in an acidic environment, producing a measurable color change that is effectively suppressed in the presence of BPA. This inhibition enables a simple colorimetric quantification of BPA with a detection limit of 31.62 ng/mL (LOQ = 95.83 ng/mL). The method demonstrated a practical linear response within the range of 200–700 ng/mL, making it suitable for screening moderately contaminated water samples. Furthermore, the work offers good recovery values for the extraction of BPA from spiked environmental water samples. Integrating AgNWs nanoenzyme activity with an eco-friendly pre-concentration step provides a promising low-cost, straightforward, and rapid alternative to conventional chromatographic methods, particularly suited for preliminary screening of contaminated waters.
{"title":"Nanozyme activity of silver nanowires for colorimetric detection of bisphenol A following salting-out assisted liquid-liquid extraction","authors":"Huda Salem AlSalem , Sara Naif Alharbi , Mohamed A Abdel-Lateef , Rabeea D. Abdel-Rahim , Wesam M. El-Koussi","doi":"10.1016/j.talo.2025.100587","DOIUrl":"10.1016/j.talo.2025.100587","url":null,"abstract":"<div><div>The increasing use of industrial chemicals has raised major concerns about their environmental and health impacts, with bisphenol A (BPA) being one of the most widely studied contaminants. In this work, we introduce a proof-of-concept approach that combines the peroxidase-like catalytic activity of silver nanowires (AgNWs) with a salting-out assisted liquid–liquid extraction (SALLE) strategy for BPA detection. AgNWs catalyze the oxidation of 3,3′,5,5′-tetramethylbenzidine (TMB) in an acidic environment, producing a measurable color change that is effectively suppressed in the presence of BPA. This inhibition enables a simple colorimetric quantification of BPA with a detection limit of 31.62 ng/mL (LOQ = 95.83 ng/mL). The method demonstrated a practical linear response within the range of 200–700 ng/mL, making it suitable for screening moderately contaminated water samples. Furthermore, the work offers good recovery values for the extraction of BPA from spiked environmental water samples. Integrating AgNWs nanoenzyme activity with an eco-friendly pre-concentration step provides a promising low-cost, straightforward, and rapid alternative to conventional chromatographic methods, particularly suited for preliminary screening of contaminated waters.</div></div>","PeriodicalId":436,"journal":{"name":"Talanta Open","volume":"12 ","pages":"Article 100587"},"PeriodicalIF":3.7,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145463088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Building on our previous work with natural waters, this study evaluates a cadmium-free copper–zinc reduction continuous flow analysis (CFA) system for the determination of nitrogen species—nitrate-nitrogen, ammonia-nitrogen, and total nitrogen—in industrial wastewater. A key novelty is the systematic investigation of interference from common coexisting substances in industrial effluents, such as heavy metals and organic compounds, which often compromise colorimetric detection in complex matrices. We conducted controlled spike-recovery experiments and validated results with reference materials to assess analytical robustness. The cadmium-free CFA system demonstrated analytical accuracy of ≥95 % when tested with reference materials and maintained recovery rates above 90 % in actual industrial wastewater samples across all nitrogen species, even under high-interference conditions, matching the performance of conventional cadmium-based methods. Additionally, a life cycle assessment (LCA) revealed substantial reductions in environmental and human health impacts by replacing cadmium with zinc and phenol with salicylic acid, with significant improvements in toxicity and resource-related categories. These findings demonstrate that the proposed CFA method provides both analytical reliability and environmental sustainability, confirming its suitability as a robust and eco-friendly alternative for accurate nitrogen monitoring in complex industrial matrices.
{"title":"Application of a cadmium-free continuous flow analysis system to industrial wastewater: Interference evaluation and environmental impact assessment","authors":"Satoshi Morikubo , Nodoka Takahashi , Takashi Nishimura , Yasuhiko Takuma , Daisuke Enomoto , Yorihiro Kumazawa , Ryosei Kanno , Suguru Okunishi , Hiroto Maeda","doi":"10.1016/j.talo.2025.100585","DOIUrl":"10.1016/j.talo.2025.100585","url":null,"abstract":"<div><div>Building on our previous work with natural waters, this study evaluates a cadmium-free copper–zinc reduction continuous flow analysis (CFA) system for the determination of nitrogen species—nitrate-nitrogen, ammonia-nitrogen, and total nitrogen—in industrial wastewater. A key novelty is the systematic investigation of interference from common coexisting substances in industrial effluents, such as heavy metals and organic compounds, which often compromise colorimetric detection in complex matrices. We conducted controlled spike-recovery experiments and validated results with reference materials to assess analytical robustness. The cadmium-free CFA system demonstrated analytical accuracy of ≥95 % when tested with reference materials and maintained recovery rates above 90 % in actual industrial wastewater samples across all nitrogen species, even under high-interference conditions, matching the performance of conventional cadmium-based methods. Additionally, a life cycle assessment (LCA) revealed substantial reductions in environmental and human health impacts by replacing cadmium with zinc and phenol with salicylic acid, with significant improvements in toxicity and resource-related categories. These findings demonstrate that the proposed CFA method provides both analytical reliability and environmental sustainability, confirming its suitability as a robust and eco-friendly alternative for accurate nitrogen monitoring in complex industrial matrices.</div></div>","PeriodicalId":436,"journal":{"name":"Talanta Open","volume":"12 ","pages":"Article 100585"},"PeriodicalIF":3.7,"publicationDate":"2025-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145412590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-24DOI: 10.1016/j.talo.2025.100582
Wenju Ren , Chenyang Qi , Rui Yang , Jie Zhou , Liu Yang , Yuandi Yu , Taixiong Zheng ([email protected]) , Lizhi Fu
African Swine Fever (ASF) poses a severe threat to the global pig husbandry. In the absence of an effective vaccine, developing rapid and accurate diagnostic methods is crucial for epidemic control. This study designed a low-cost microfluidic chip and integrated nucleic acid rapid detection device (INARDD) based on colorimetric principles combined with magnetic bead based nucleic acid extraction technology. Manufactured using micro computer numerical control machine tools (CNC) and 3D printing, the device fully automates the entire process include nucleic acid extraction, transfer, loop-mediated isothermal amplification (LAMP), and detection without requiring external equipment or manual intervention. Experimental results demonstrate high sensitivity (94.1 %, 32/34), specificity (97.7 %, 42/43), and accuracy (96.1 %, 74/77), with a detection limit of 10² copies/μL. The device features low production costs (approximately $69.1), low per-test expenses, and a portable design (2 kg), facilitating field deployment. This study provides an economical and efficient solution for rapid on-site diagnosis of African swine fever, holding significant implications for enhancing epidemic control and ensuring meat safety. It also offers technical reference for developing portable diagnostic systems for other infectious diseases.
{"title":"Design and fabrication of microfluidic chip and integrated nucleic acid rapid diagnosis device","authors":"Wenju Ren , Chenyang Qi , Rui Yang , Jie Zhou , Liu Yang , Yuandi Yu , Taixiong Zheng ([email protected]) , Lizhi Fu","doi":"10.1016/j.talo.2025.100582","DOIUrl":"10.1016/j.talo.2025.100582","url":null,"abstract":"<div><div>African Swine Fever (ASF) poses a severe threat to the global pig husbandry. In the absence of an effective vaccine, developing rapid and accurate diagnostic methods is crucial for epidemic control. This study designed a low-cost microfluidic chip and integrated nucleic acid rapid detection device (INARDD) based on colorimetric principles combined with magnetic bead based nucleic acid extraction technology. Manufactured using micro computer numerical control machine tools (CNC) and 3D printing, the device fully automates the entire process include nucleic acid extraction, transfer, loop-mediated isothermal amplification (LAMP), and detection without requiring external equipment or manual intervention. Experimental results demonstrate high sensitivity (94.1 %, 32/34), specificity (97.7 %, 42/43), and accuracy (96.1 %, 74/77), with a detection limit of 10² copies/μL. The device features low production costs (approximately $69.1), low per-test expenses, and a portable design (2 kg), facilitating field deployment. This study provides an economical and efficient solution for rapid on-site diagnosis of African swine fever, holding significant implications for enhancing epidemic control and ensuring meat safety. It also offers technical reference for developing portable diagnostic systems for other infectious diseases.</div></div>","PeriodicalId":436,"journal":{"name":"Talanta Open","volume":"12 ","pages":"Article 100582"},"PeriodicalIF":3.7,"publicationDate":"2025-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145412589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-21DOI: 10.1016/j.talo.2025.100581
Fengming Chen , Sha Mao , Renjun Zhang , Xinggui Yang , Junfei Huang , Yingqian Kang , Feng Hong , Hong Chen , Shijun Li , Yi Wang
African swine fever (ASF) is an acute and highly lethal infectious disease caused by African swine fever virus (ASFV). ASF has caused huge economic losses in many countries, and there is still a lack of effective vaccines and treatments. Therefore, the development of rapid and accurate detection methods is crucial for the effective prevention and control of ASF. Here, we developed a novel loop-mediated isothermal amplification (LAMP) combined with nanoparticle-based lateral flow biosensor (LFB) for rapid and specific ASFV detection (ASFV-LAMP-LFB). The ASFV-LAMP-LFB assay was optimized to allow LAMP-LFB results to be visually verified by LFB within 2–5 min, with the entire detection process completed in 35 min and achieving a sensitivity of 0.04 fg/µL. Concurrently, the specificity of the ASFV-LAMP-LFB assay was evaluated using a range of pathogens, yielding 100 % specificity and no cross-reactivity with other porcine pathogens. In addition, the ASFV-LAMP-LFB assay exhibited a 100 % degree of sensitivity and specificity in simulated samples. In conclusion, the ASFV-LAMP-LFB assay established in this study is highly sensitive and specific, and can rapidly and accurately identify ASFV. This study offers a technical complement and support for the detection of ASFV in slaughterhouses, farms, and other grassroots units.
{"title":"Lateral flow biosensor-assisted loop-mediated isothermal amplification assay for ultrafast, sensitive detection of African swine fever virus","authors":"Fengming Chen , Sha Mao , Renjun Zhang , Xinggui Yang , Junfei Huang , Yingqian Kang , Feng Hong , Hong Chen , Shijun Li , Yi Wang","doi":"10.1016/j.talo.2025.100581","DOIUrl":"10.1016/j.talo.2025.100581","url":null,"abstract":"<div><div>African swine fever (ASF) is an acute and highly lethal infectious disease caused by African swine fever virus (ASFV). ASF has caused huge economic losses in many countries, and there is still a lack of effective vaccines and treatments. Therefore, the development of rapid and accurate detection methods is crucial for the effective prevention and control of ASF. Here, we developed a novel loop-mediated isothermal amplification (LAMP) combined with nanoparticle-based lateral flow biosensor (LFB) for rapid and specific ASFV detection (ASFV-LAMP-LFB). The ASFV-LAMP-LFB assay was optimized to allow LAMP-LFB results to be visually verified by LFB within 2–5 min, with the entire detection process completed in 35 min and achieving a sensitivity of 0.04 fg/µL. Concurrently, the specificity of the ASFV-LAMP-LFB assay was evaluated using a range of pathogens, yielding 100 % specificity and no cross-reactivity with other porcine pathogens. In addition, the ASFV-LAMP-LFB assay exhibited a 100 % degree of sensitivity and specificity in simulated samples. In conclusion, the ASFV-LAMP-LFB assay established in this study is highly sensitive and specific, and can rapidly and accurately identify ASFV. This study offers a technical complement and support for the detection of ASFV in slaughterhouses, farms, and other grassroots units.</div></div>","PeriodicalId":436,"journal":{"name":"Talanta Open","volume":"12 ","pages":"Article 100581"},"PeriodicalIF":3.7,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145412588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The rhizome of Kaempferia galanga L. contained ethyl p-methoxycinnamate (EPMC) as a major component of its essential oil. Despite the abundance of EPMC in the plant, conventional isolation methods yielded only 0.5 – 2.5 %. This study developed molecularly imprinted polymers (MIPs) via bulk and suspension polymerisation to enhance the selective isolation of EPMC from K. galanga extracts. Six functional monomers were screened for their binding affinity with EPMC. 2-hydroxyethyl methacrylate (HEMA) in chloroform and methacrylic acid (MAA) in n-hexane were selected for further investigation. Stoichiometric analysis established optimal template-to-monomer ratios of 1:6 for HEMA and 1:7 for MAA. Eight MIP formulations and their corresponding non-imprinted polymers (NIPs), were synthesised using these monomers via both polymerisation methods. Characterisation using Fourie Transform Infra-Red (FTIR), Scanning Electron Microscope (SEM), Brunauer-Emmett-Teller (BET), and Particle Size Analysis (PSA) revealed that bulk polymers exhibited larger, irregular, and non-uniform particles compared to those produced by suspension polymerisation. Adsorption studies confirmed that the MIPs follow Freundlich isotherms, with MIP B2 (bulk, MAA, 1:7 ratio) exhibiting the highest binding affinity (KF = 0.081 mg/g). MIP B2 also demonstrated superior performance in the solid-phase extraction of EPMC from extracts, achieving recoveries of up to 82.4 % ± 5.52 and imprinting factors above 1.3. Selectivity tests confirmed strong discrimination of EPMC over structural analogues. In conclusion, MIP B2 offers a selective, efficient, and scalable method for EPMC isolation. These findings supported the continued development of tailored MIPs for natural product purification and provided a foundation for future optimisation of monomer-initiator systems and polymerisation parameters.
{"title":"Development of molecularly imprinted polymers via dual polymerisation strategies for targeted isolation of Ethyl p-Methoxycinnamate from Kaempferia galanga L. extract","authors":"Marisa Dwi Ariani , Ade Zuhrotun , Panagiotis Manesiotis , Aliya Nur Hasanah","doi":"10.1016/j.talo.2025.100580","DOIUrl":"10.1016/j.talo.2025.100580","url":null,"abstract":"<div><div>The rhizome of <em>Kaempferia galanga</em> L. contained ethyl p-methoxycinnamate (EPMC) as a major component of its essential oil. Despite the abundance of EPMC in the plant, conventional isolation methods yielded only 0.5 – 2.5 %. This study developed molecularly imprinted polymers (MIPs) via bulk and suspension polymerisation to enhance the selective isolation of EPMC from <em>K. galanga</em> extracts. Six functional monomers were screened for their binding affinity with EPMC. 2-hydroxyethyl methacrylate (HEMA) in chloroform and methacrylic acid (MAA) in <em>n</em>-hexane were selected for further investigation. Stoichiometric analysis established optimal template-to-monomer ratios of 1:6 for HEMA and 1:7 for MAA. Eight MIP formulations and their corresponding non-imprinted polymers (NIPs), were synthesised using these monomers via both polymerisation methods. Characterisation using Fourie Transform Infra-Red (FTIR), Scanning Electron Microscope (SEM), Brunauer-Emmett-Teller (BET), and Particle Size Analysis (PSA) revealed that bulk polymers exhibited larger, irregular, and non-uniform particles compared to those produced by suspension polymerisation. Adsorption studies confirmed that the MIPs follow Freundlich isotherms, with MIP B2 (bulk, MAA, 1:7 ratio) exhibiting the highest binding affinity (KF = 0.081 mg/g). MIP B2 also demonstrated superior performance in the solid-phase extraction of EPMC from extracts, achieving recoveries of up to 82.4 % ± 5.52 and imprinting factors above 1.3. Selectivity tests confirmed strong discrimination of EPMC over structural analogues. In conclusion, MIP B2 offers a selective, efficient, and scalable method for EPMC isolation. These findings supported the continued development of tailored MIPs for natural product purification and provided a foundation for future optimisation of monomer-initiator systems and polymerisation parameters.</div></div>","PeriodicalId":436,"journal":{"name":"Talanta Open","volume":"12 ","pages":"Article 100580"},"PeriodicalIF":3.7,"publicationDate":"2025-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145358179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-14DOI: 10.1016/j.talo.2025.100577
Armanda Dwi Prayugo , Wahyu Widayat , Toto Subroto , Wyanda Arnafia , Muhammad Yusuf , Gilang Gumilar , Yusuf Farid Achmad , Betty Sundari , Aulia Khoirun Nissa , Denniswara Sibit
Avian influenza is a viral infectious disease that causes high mortality and morbidity in poultry. The highly pathogenic avian influenza (HPAI) threat causes considerable losses to broiler and laying hens. Early detection of avian influenza cases on farms is now difficult, especially in laying hens with symptoms of decreased egg production, which could be caused by various other diseases. The detection of avian influenza, according to WOAH recommendations, utilizes real-time RT-PCR. The RT-PCR methods are costly, require sample extraction and laboratory expertise. Not only are sensitive and specific alternative diagnostic methods required to address the future threat of avian influenza in poultry with large populations, but also producing biomaterial as a bioreceptor on a large scale is required. Immunoglobulin yolk (IgY) is an antibody produced by the hen and found in egg yolk. Producing IgY requires hyperimmune chickens obtained through the vaccination process. The ability of IgY to bind to antigens has the potential to serve as a bioreceptor for disease detection methods in biosensor devices. A surface plasmon resonance (SPR) biosensor can detect interactions between two molecules, such as antibody-antigens, indicating a change in the resonance angle as a response unit (r.u.). The purpose of this study is to investigate the capability of the SPR biosensor for the diagnosis of AI H5N1 through its limit of detection and sensitivity using IgY anti-avian influenza H5N1, as well as the SPR specificity response in detecting avian influenza in field sample simulations. SPR development using the IgY anti-avian influenza H5N1 bioreceptor with a concentration of 50 µg/ml has a detection limit value of virus titer AI H5N1 104,4 ELD50/ml and a response sensitivity of 3.90 ΔRU/Log HAU with an R2 value of the linear plot from antigen concentration 1 - 16 HAU is 0.99052. IgY anti-avian influenza H5N1 with a concentration of 50 µg/ml in nanoSPR8 device has a reasonable specificity of 89 % and selectivity in capturing H5N1 analyte targets. The SPR results are also promising for AI H5N1 rapid detection without extraction due to its positive response in field samples that confirmed AI H5N1 by RT-PCR.
{"title":"The surface plasmon resonance biosensor capability for detection avian influenza H5N1 in poultry using immunoglobulin yolk as bioreceptor","authors":"Armanda Dwi Prayugo , Wahyu Widayat , Toto Subroto , Wyanda Arnafia , Muhammad Yusuf , Gilang Gumilar , Yusuf Farid Achmad , Betty Sundari , Aulia Khoirun Nissa , Denniswara Sibit","doi":"10.1016/j.talo.2025.100577","DOIUrl":"10.1016/j.talo.2025.100577","url":null,"abstract":"<div><div>Avian influenza is a viral infectious disease that causes high mortality and morbidity in poultry. The highly pathogenic avian influenza (HPAI) threat causes considerable losses to broiler and laying hens. Early detection of avian influenza cases on farms is now difficult, especially in laying hens with symptoms of decreased egg production, which could be caused by various other diseases. The detection of avian influenza, according to WOAH recommendations, utilizes real-time RT-PCR. The RT-PCR methods are costly, require sample extraction and laboratory expertise. Not only are sensitive and specific alternative diagnostic methods required to address the future threat of avian influenza in poultry with large populations, but also producing biomaterial as a bioreceptor on a large scale is required. Immunoglobulin yolk (IgY) is an antibody produced by the hen and found in egg yolk. Producing IgY requires hyperimmune chickens obtained through the vaccination process. The ability of IgY to bind to antigens has the potential to serve as a bioreceptor for disease detection methods in biosensor devices. A surface plasmon resonance (SPR) biosensor can detect interactions between two molecules, such as antibody-antigens, indicating a change in the resonance angle as a response unit (r.u.). The purpose of this study is to investigate the capability of the SPR biosensor for the diagnosis of AI H5N1 through its limit of detection and sensitivity using IgY anti-avian influenza H5N1, as well as the SPR specificity response in detecting avian influenza in field sample simulations. SPR development using the IgY anti-avian influenza H5N1 bioreceptor with a concentration of 50 µg/ml has a detection limit value of virus titer AI H5N1 10<sup>4,4</sup> ELD50/ml and a response sensitivity of 3.90 ΔRU/Log HAU with an R<sup>2</sup> value of the linear plot from antigen concentration 1 - 16 HAU is 0.99052. IgY anti-avian influenza H5N1 with a concentration of 50 µg/ml in nanoSPR8 device has a reasonable specificity of 89 % and selectivity in capturing H5N1 analyte targets. The SPR results are also promising for AI H5N1 rapid detection without extraction due to its positive response in field samples that confirmed AI H5N1 by RT-PCR.</div></div>","PeriodicalId":436,"journal":{"name":"Talanta Open","volume":"12 ","pages":"Article 100577"},"PeriodicalIF":3.7,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145323987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-14DOI: 10.1016/j.talo.2025.100576
Zhou Fang , Xuan Hu , Jun Luo , Shuting Liu
As the environmental impacts of emerging organic contaminants (EOCs) gained increasing global attention, the monitoring of their concentrations and the assessment of their ecological risks have become critical areas of research. Diffusive gradients in thin films (DGT) have been increasingly applied to investigate the distribution and environmental behavior of EOCs in aquatic, soil, and sedimentary environments. This review synthesizes current advancements in DGT technology, with a particular focus on the field applications of DGTs for the studies of the distributions and behaviors of EOCs in the water bodies, soil, and sediment. The advantages, and limitations of diffusion and binding layer materials, filter membranes, and molding techniques were summarized based on the principles of DGT. The reliability and stability of DGT for EOCs determination in aquatic environments are evaluated through a comparative analysis with traditional grab sampling methods. The advantages and limitations of DGT are also discussed in relation to other passive sampling techniques. In addition, common challenges associated with DGT field deployments are identified, and potential strategies for methodological improvements are proposed. Finally, this review consolidates existing studies on the application of DGT in examining the distribution and environmental behavior of EOCs in water, soil, and sediment systems. These findings collectively underscore the utility of DGT in advancing the study of EOCs environmental behavior and in facilitating ecological risk assessment.
{"title":"A critical review of the field applications of diffusive gradients (DGT) in assessing the environmental behavior of emerging organic contaminants: Advantages, limitations, and methodological considerations","authors":"Zhou Fang , Xuan Hu , Jun Luo , Shuting Liu","doi":"10.1016/j.talo.2025.100576","DOIUrl":"10.1016/j.talo.2025.100576","url":null,"abstract":"<div><div>As the environmental impacts of emerging organic contaminants (EOCs) gained increasing global attention, the monitoring of their concentrations and the assessment of their ecological risks have become critical areas of research. Diffusive gradients in thin films (DGT) have been increasingly applied to investigate the distribution and environmental behavior of EOCs in aquatic, soil, and sedimentary environments. This review synthesizes current advancements in DGT technology, with a particular focus on the field applications of DGTs for the studies of the distributions and behaviors of EOCs in the water bodies, soil, and sediment. The advantages, and limitations of diffusion and binding layer materials, filter membranes, and molding techniques were summarized based on the principles of DGT. The reliability and stability of DGT for EOCs determination in aquatic environments are evaluated through a comparative analysis with traditional grab sampling methods. The advantages and limitations of DGT are also discussed in relation to other passive sampling techniques. In addition, common challenges associated with DGT field deployments are identified, and potential strategies for methodological improvements are proposed. Finally, this review consolidates existing studies on the application of DGT in examining the distribution and environmental behavior of EOCs in water, soil, and sediment systems. These findings collectively underscore the utility of DGT in advancing the study of EOCs environmental behavior and in facilitating ecological risk assessment.</div></div>","PeriodicalId":436,"journal":{"name":"Talanta Open","volume":"12 ","pages":"Article 100576"},"PeriodicalIF":3.7,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145323988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-14DOI: 10.1016/j.talo.2025.100578
Marysol Ferretti , Giuseppe Spiezia , Mariachiara Lo Scalzo , Valeria Todeschini , Guido Lingua , Eleonora Conterosito , Emilio Guerrieri , Valentina Gianotti
Plants continuously release volatile organic compounds (VOCs) belonging to distinct chemical classes, which are involved in various biological and ecological functions. Furthermore, the VOC profile contributes to the organoleptic properties of plants, influencing their commercial value in the food markets. The composition of VOCs varies with the species, the phenology and can also vary in response to different stimuli to which the plant is subjected, leading to the emission of different molecules or very subtle variations of concentration, resulting in a great variability in the collected samples. Consequently, the sample collection method and analysis must be robust and reliable, to minimize the uncertainty that affects the results. This work proposes a quantitative GC–MS method, the gold standard for identifying and quantifying VOCs molecules that was optimized and validated following the AOAC Guidelines for fifteen analytes typically present in Solanum lycopersicum (tomato plant). The focus in the validation was also addressed to the optimization of the collection procedure that is the most critical point from the point of view of the repeatability and reproducibility.
The validated method has then been applied to the study of real tomato plants volatilome, collected with the tailored and optimised setup.
The method developed in this study serves as a highly reliable analytical tool for characterizing plant volatilome. By integrating optimized protocols for GC–MS with meticulous validation processes, this approach enhances our ability to investigate plant secondary metabolism and its ecological significance.
{"title":"Accurate and robust method for plant volatilome analysis by GC-MS","authors":"Marysol Ferretti , Giuseppe Spiezia , Mariachiara Lo Scalzo , Valeria Todeschini , Guido Lingua , Eleonora Conterosito , Emilio Guerrieri , Valentina Gianotti","doi":"10.1016/j.talo.2025.100578","DOIUrl":"10.1016/j.talo.2025.100578","url":null,"abstract":"<div><div>Plants continuously release volatile organic compounds (VOCs) belonging to distinct chemical classes, which are involved in various biological and ecological functions. Furthermore, the VOC profile contributes to the organoleptic properties of plants, influencing their commercial value in the food markets. The composition of VOCs varies with the species, the phenology and can also vary in response to different stimuli to which the plant is subjected, leading to the emission of different molecules or very subtle variations of concentration, resulting in a great variability in the collected samples. Consequently, the sample collection method and analysis must be robust and reliable, to minimize the uncertainty that affects the results. This work proposes a quantitative GC–MS method, the gold standard for identifying and quantifying VOCs molecules that was optimized and validated following the AOAC Guidelines for fifteen analytes typically present in <em>Solanum lycopersicum</em> (tomato plant). The focus in the validation was also addressed to the optimization of the collection procedure that is the most critical point from the point of view of the repeatability and reproducibility.</div><div>The validated method has then been applied to the study of real tomato plants volatilome, collected with the tailored and optimised setup.</div><div>The method developed in this study serves as a highly reliable analytical tool for characterizing plant volatilome. By integrating optimized protocols for GC–MS with meticulous validation processes, this approach enhances our ability to investigate plant secondary metabolism and its ecological significance.</div></div>","PeriodicalId":436,"journal":{"name":"Talanta Open","volume":"12 ","pages":"Article 100578"},"PeriodicalIF":3.7,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145358181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-10DOI: 10.1016/j.talo.2025.100575
Yufei Guan, Han Leng, Xuwei Chen
DNA-templated silver nanoclusters (DNA-AgNCs) have gained wide applications in biochemical analysis due to the flexible preparation and favorable fluorescence properties, while the limited photostability and the structural and functional stability remains a critical issue that warrants careful consideration during practical applications. Herein, spherical DNA micelles were constructed via the assembly of cholesterol modified DNA strand with specific sequence for ctDNA recognition and in-situ AgNCs growth. The spatial confinement of AgNCs in the micelles not only enhanced the fluorescence performance of AgNCs effectively through ordered aggregation, but also improved its photostability greatly. Sensitive ctDNA detection was achieved via entropy-driven circulatory strategy by monitoring the fluorescence variation of AgNCs. The detection limit was 6.06 pM, improved by 3 orders of magnitude compared to conventional process. Moreover, the developed detection system exhibited high tolerance to the complex matrices of biological sample, and the practical applicability was validated by accurately measuring PIK3CA E542K ctDNA contents in human serum samples.
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Pub Date : 2025-10-10DOI: 10.1016/j.talo.2025.100573
Louise Mangeon , Romain Le Balch , Olivier L. Mantha , Cyrille Guimaraes-carneiro , Michelle Pinault , Régis Hankard , Arnaud De Luca , Illa Tea
Background
Breast cancer (BrCa) is a heterogeneous disease which complicates early detection, subtyping, and treatment selection. Metabolic alterations are hallmarks of cancer, but current methods to study metabolism, especially stable isotope analysis, involve complex workflows, derivatization steps, and have limited clinical use. Lipid metabolism is altered in BrCa, yet sensitive, minimally invasive tools to quantify fatty acid (FA) isotope signatures are lacking. A gas chromatography-combustion-isotope ratio mass spectrometry (GC-C-IRMS) method allowing direct, high-precision analysis of underivatized FAs in tissues and serum is needed for improved cancer phenotyping.
Results
A novel GC-C-IRMS method is developed for direct δ13C (carbon isotope composition) and concentration analysis of underivatized FAs in tissues and serum, with excellent repeatability, reproducibility, and minimal matrix effects. The optimized method involves simple sample preparation by lipid hydrolysis without requiring derivatization, followed by FA separation using a polar GC column. The method is validated for both quantification and isotopic analysis using internal standards and applied to human tissue and serum samples from patients with different BrCa subtypes. Significant natural 13C enrichment is observed in C16:0, C16:1, and C18:1, alongside a decrease in C14:0 and C16:1 concentrations in cancerous tissue compared to adjacent non-cancerous tissue, reflecting shifts in lipid metabolism during carinogenesis. Importantly, δ¹³C values of C18:0 and C18:2 in both cancerous tissue and serum differed betwen BrCa subtypes.
Significance
This is the first GC-C-IRMS method enabling high-precision, direct analysis of underivatized FAs in tissues and serum with minimal sample preparation. The approach offers a promising, minimally invasive tool for characterizing FA metabolism and improving breast cancer detection, subtyping, and metabolic phenotyping without isotopic labeling.
{"title":"Simultaneous quantification and natural 13C abundance of fatty acids in breast cancer tissues and serum by GC-C-IRMS for tumor characterization","authors":"Louise Mangeon , Romain Le Balch , Olivier L. Mantha , Cyrille Guimaraes-carneiro , Michelle Pinault , Régis Hankard , Arnaud De Luca , Illa Tea","doi":"10.1016/j.talo.2025.100573","DOIUrl":"10.1016/j.talo.2025.100573","url":null,"abstract":"<div><h3>Background</h3><div>Breast cancer (BrCa) is a heterogeneous disease which complicates early detection, subtyping, and treatment selection. Metabolic alterations are hallmarks of cancer, but current methods to study metabolism, especially stable isotope analysis, involve complex workflows, derivatization steps, and have limited clinical use. Lipid metabolism is altered in BrCa, yet sensitive, minimally invasive tools to quantify fatty acid (FA) isotope signatures are lacking. A gas chromatography-combustion-isotope ratio mass spectrometry (GC-C-IRMS) method allowing direct, high-precision analysis of underivatized FAs in tissues and serum is needed for improved cancer phenotyping.</div></div><div><h3>Results</h3><div>A novel GC-C-IRMS method is developed for direct δ<sup>13</sup>C (carbon isotope composition) and concentration analysis of underivatized FAs in tissues and serum, with excellent repeatability, reproducibility, and minimal matrix effects. The optimized method involves simple sample preparation by lipid hydrolysis without requiring derivatization, followed by FA separation using a polar GC column. The method is validated for both quantification and isotopic analysis using internal standards and applied to human tissue and serum samples from patients with different BrCa subtypes. Significant natural <sup>13</sup>C enrichment is observed in C16:0, C16:1, and C18:1, alongside a decrease in C14:0 and C16:1 concentrations in cancerous tissue compared to adjacent non-cancerous tissue, reflecting shifts in lipid metabolism during carinogenesis. Importantly, δ¹³C values of C18:0 and C18:2 in both cancerous tissue and serum differed betwen BrCa subtypes.</div></div><div><h3>Significance</h3><div>This is the first GC-C-IRMS method enabling high-precision, direct analysis of underivatized FAs in tissues and serum with minimal sample preparation. The approach offers a promising, minimally invasive tool for characterizing FA metabolism and improving breast cancer detection, subtyping, and metabolic phenotyping without isotopic labeling.</div></div>","PeriodicalId":436,"journal":{"name":"Talanta Open","volume":"12 ","pages":"Article 100573"},"PeriodicalIF":3.7,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145323986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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