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Liquid and gas-chromatography-mass spectrometry methods for exposome analysis

This review outlines MS-based exposome research, covering sample preparation, data acquisition, and annotation to improve exposure assessment, ensure reproducibility, and support personalized healthcare.
<p>Journal of Chromatography A, Volume 1744, 2025, 465728: Fig. 2. Overview of sample preparation and GC- and LC-(HR)MS analysis workflows in exposomics research.</p>

Journal of Chromatography A, Volume 1744, 2025, 465728: Fig. 2. Overview of sample preparation and GC- and LC-(HR)MS analysis workflows in exposomics research.

This review examines mass spectrometry-based methods for exposome research, detailing the analytical pipeline from sample collection to data analysis. It highlights both standard and emerging strategies for data acquisition, annotation, and integration with other datasets.

The ultimate goal is to improve the comparability and reproducibility of exposomics data. By enabling simultaneous analysis of endogenous metabolites and xenobiotics, these approaches enhance our understanding of human exposure’s effects on health and disease, supporting advancements in personalized healthcare.

The original article

Liquid and gas-chromatography-mass spectrometry methods for exposome analysis

Victor Castro-Alves, Anh Hoang Nguyen, João Marcos G. Barbosa, Matej Orešič, Tuulia Hyötyläinen 

Journal of Chromatography A, Volume 1744, 15 March 2025, 465728

https://doi.org/10.1016/j.chroma.2025.465728

licensed under CC-BY 4.0

Selected sections from the article follow. Formats and hyperlinks were adapted from the original.

1. Introduction

There is mounting evidence that environmental factors play a significant role in human health. Exposome research aims to explore the effects of these environmental factors by capturing chemical, biological, and physical stressors and their association with human (patho)physiological responses [1,2]. By determining external exposures, biological responses to exposures, and/or host susceptibility at a systems level, it is possible to establish links between the exposome and health outcomes [3]. Nevertheless, characterizing an individual's exposome is challenging because exposome profiles are highly dynamic, individual-based, and associated with both (a) nonchemical parameters, including lifestyle, socioeconomic, and demographic factors, and (b) chemical profiles of inorganic and organic substances that can be explored through analytical approaches. In this review, we will focus on analytical approaches applied to a comprehensive chemical profiling of organic substances, including both endogenous metabolites as well as xenobiotics, with a focus on environmental pollutants.

The chemical space in the human exposome includes the endogenous metabolome (human and gut microbiota-derived metabolites) and xenobiotics coming from various external sources, such as diet, medication, as well as non-intentional exposure to environmental pollutants and their chemically and biologically transformed products [2]. These substances are of utmost relevance due to their known (and unknown) environmental impact and effects on human health [2]. It is estimated that over 350,000 man-made chemicals and their mixtures have been registered for large production and use worldwide [4]. Only in the European Union (EU) market, by the latest survey, over 26,000 new exogenous chemicals were registered under the European Chemical Agency (ECHA) regulations; nonetheless, the current chemicals on the market at volumes below one ton (which includes several compounds as polymers, pharmaceuticals, biocides, pesticides) are not counted in the list (https://chem.echa.europa.eu/). 

This list includes persistent organic pollutants (POPs) and pseudo-persistent chemicals with shorter half-lives, including polycyclic aromatic hydrocarbons (PAHs), surfactants, polychlorinated biphenyls, pesticides, dioxins, polyfluorinated alkyl substances (PFAS), flame retardants (FR), pharmaceuticals and personal care products. Notably, not only has the number of newly manufactured chemicals dramatically increased during the past decades, but their release and dispersal have accelerated markedly in the last half-century, as confirmed by analysis of core sediments and retrospective analysis of human samples [5].

Alertly, the impact of exogenous chemicals on human health, and particularly the impact of their combined and interactive effects, needs to be better characterized. Most of the research exploring the effects of exogenous chemicals on human health has been focused on the impact of single groups of chemicals, even though studies revealed chemical mixtures can cause different types of combination effects, including additive and synergistic effects, and, less often, antagonistic effects [[6], [7], [8], [9]] (Fig. 1). Therefore, rather than purely targeting selected pollutants, screening a broad coverage of known and unknown compounds is of the utmost importance. It is also fundamental to explore longitudinal and retrospective studies to investigate the intricate associations between exposure, metabolism, and health outcomes. Fortunately, gas chromatography (GC) and liquid chromatography (LC) coupled with mass spectrometry (MS) can be designed to meet this challenge.

Journal of Chromatography A, Volume 1744, 2025, 465728: Fig. 1. Combined effects of environmental pollutants (e.g., compounds A and B) are usually additive, synergistic and, less often, antagonistic

Undoubtedly, MS-based approaches provide better coverage than other techniques applied in exposome research, such as nuclear magnetic resonance [19], but defining pre-analytical steps, separation technique(s), and post-analysis methods will vary according to the fraction of the exposome being explored. From an analytical perspective, MS-based analysis is the approach of choice in exposome research due to its ability to detect and identify a broader range of environmental substances at trace concentrations. Still, MS-based protocols face several challenges, from sampling and extraction to analysis, data processing, compound annotation, and data interpretation. Here, we provide an overview of the main steps of MS-based analytical approaches in exposome research, from sample extraction to GC- and LC-MS analysis and data processing (Fig. 2).

Journal of Chromatography A, Volume 1744, 2025, 465728: Fig. 2. Overview of sample preparation and GC- and LC-(HR)MS analysis workflows in exposomics research.

2. Mass spectrometry in exposome analysis

2.1 Sample collection and extraction

The analysis of the human (i.e., internal) exposome is conducted in a range of biological matrices, mainly using urine and blood but also feces, saliva, breath biopsy, breast milk, as well as other organs and tissues [10]. Additionally, studies may integrate other organisms (e.g., cells, rodents) to elucidate potential underlying mechanisms on complex biological systems and non-biological matrices (e.g., water, soil) to provide complementary environmental information. While many studies focused on developing methods to characterize the chemical exposome comprehensively, more effort is needed to define reporting guidelines for sampling in exposome research, including procedures for fasting (or non-fasting) conditions in human biomonitoring, sampling devices, and conditions for sample pre-processing [20]. As in any other “omics” workflow involving biological samples, sample analysis in exposomics must reflect the nature level of the chemical exposome. Thus, potential contamination during sampling should be accounted for, ensuring that the identification and quantification of exogenous compounds represent the intrinsic levels of biological matrices. This is particularly important in exposomics, as many exogenous substances posing toxicity are also found in sampling materials [21].

In addition to potential contamination sources, quenching procedures and sampling time are necessary to allow analysis of extracts reflecting endogenous levels, thereby ensuring adequate biological interpretation in highly metabolically active systems such as cells and tissues. One way to improve sampling routines for exposome is to employ pre-analytical procedures universally applicable for non-target metabolomics whenever possible [[22], [23], [24], [25], [26]].

Sample preparation methods in exposomics have been explored more thoroughly than sampling strategies and were also similar to those described for non-target metabolomics analysis. As recent and comprehensive reviews on exposomics sample preparation are available in the literature [27,28], we will focus on overarching concepts rather than defining specific methods. In metabolomics, smaller volumes are typically sufficient because most endogenous analytes are present at relatively high concentrations. However, this is not the case for some exogenous substances, which might be detected near the detection limit of MS technologies. Consequently, different sample preparation methods, such as liquid extraction and solid-phase extraction, have been developed to explore the exposome considering different matrices and chemical space covered.

2.2. Mass spectrometric-based analysis

GC or LC combined with high-resolution mass spectrometry (HRMS) are the most widely employed methods in exposome analysis. Despite the appreciated sensitivity and peak resolution capabilities of GC, LC can cover a broader chemical space and, therefore, has been applied more frequently in exposome studies. A recent systematic review revealed that more than 60 % of exposome studies employ LC-HRMS while remaining studies mostly rely on GC-based methods [32]. Other authors indicate that the fraction of LC-HRMS-based studies in exposomics is even higher, up to 80 % [33]. Targeted quantification using low-resolution (triple quadrupole) mass spectrometry (QqQ-MS) remains in use to some extent due to its sensitivity, but primarily as a complementary technique. Other MS-based techniques, including capillary electrophoresis-MS (CE-MS) [34], selected ion flow tube MS (SIFT-MS) [35], and MS imaging (MSI) [36], also have been employed for selected applications.

In addition to the need to cover a broad chemical space, concentration levels also pose a challenge in exposome research (Fig. 3). Due to the extensive chemical diversity and concentration range of the so-called chemical exposome, it is often not feasible to capture a comprehensive chemical profile with a single method. Current studies either focus on a narrow chemical space using a single analysis platform or try to combine different platforms to achieve broader coverage.

2.2.3. Hyphenation of MS and ion mobility spectrometry (IMS)

Recently, there has been a significant development in the hyphenation of conventional HRMS (e.g., QTOF) and ion mobility spectrometry (IMS), allowing, in some cases, to resolve isomers or isobars, thus improving the resolution and coverage of exposome analysis [58]. From a biological perspective, implementing IMS as an orthogonal technique to HRMS is of great value since compounds with the same molecular formula and similar molecular structures can play different roles in biological systems and, therefore, should be ideally annotated as separate entities [91]. With the addition of collisional cross-section values (CCS) provided by some IMS instruments, there has also been an improvement in database quality. Additionally, the additional separation dimension can provide more clean mass spectra for detected features, thus making the identification more reliable (Fig. 5A).

Journal of Chromatography A, Volume 1744, 2025, 465728: Fig. 5. A) Enhanced chromatographic resolution and spectral quality using LC-IMS-HRMS-based approaches in exposomics. B) Endogenous molecules and halogenated compounds show distinct m/z x CCS patterns due to the increased m/z of halogens compared to hydrogens, despite slight size difference. Adapted with permission from reference [97]. Copyright (2022) American Chemical Society.

There are several commercial IMS-HRMS systems, including drift tube IMS (DTIMS), traveling wave IMS (TWIMS), trapped IMS, and field asymmetric ion mobility (FAIMS), among others [92]. DTIMS appears to be the most promising alternative for exposome analyses, i.e., analysis of small molecules, as it does not require external calibration approaches, unlike most IMS-based platforms [19]. However, similarly to 2D-LC, there are still challenges when processing and interpreting IMS-HRMS data due to its orthogonal nature and high-demanding tools for data processing, particularly the need for tools to seamlessly align HRMS and IMS information. In this respect, there has been rapid development in open-source data pre-processing tools, such as MZmine [93] and DEIMoS [94]. Another challenge is that the nature of IMS separation also demands an ion gating or trap-and-release mechanism involving a loss of duty cycle and (in the latter case) the possibility of ion losses, or interactions between different ions in the trapping environment, which also can cause additional fragmentation for labile, (de)protonated, substances [19]. In addition, IMS-HRMS requires delicate engineering and parameter optimization for in-field use, and matrix effects may influence IMS response similarly to HRMS.

Despite the abovementioned challenges, IMS-HRMS is a powerful and promising tool that can increase the much-needed coverage in exposome research. In addition to providing isobar separation and increasing the possibility of unambiguous annotation, recent reviews summarized that IMS alone can be employed to differentiate endogenous metabolites and specific xenobiotics [95,96]. Endogenous biomolecules have higher slopes in the CCS versus mass-to-charge ratio (m/z) plots than molecules with more halogen atoms, such as per- and polyfluoroalkyl substances (PFAS) and polybrominated diphenyl ethers (PBDE). This occurs due to increased m/z of halogens versus hydrogen but a slight size difference, as demonstrated in Fig. 5B [97]. These findings offer great potential for developing novel post-analysis techniques that use CCS-m/z pairs to classify exogenous compounds in biospecimens.

3. Conclusions

The advancement of mass spectrometry (MS) techniques in recent years has greatly enhanced our ability to investigate the health impacts of chemical exposures, even at trace levels. However, for a comprehensive overview of the complex chemical space of the human exposome, GC- and LC-based approaches need to be applied to improve detection capacity. This review highlights essential steps for conducting GC- and LC-MS-based exposomics, from sample collection to data analysis, emphasizing the need for broad coverage and robust data acquisition. Comprehensive exposomics workflows require nonselective extraction methods and robust GC- and LC-MS techniques, which can be hyphenated with new approaches, such as IMS. All of this must be followed by proper quality control and consistent reporting standards to ensure robustness and reproducibility. Importantly, exposomics is not just about environmental monitoring; it encompasses a broader chemical space aiming at exploring the relationship between xenobiotics and human metabolism, providing a comprehensive understanding of how exposure affects human health. Ultimately, when properly approached and integrated with other data including environmental monitoring, dietary and physical status, and health outcomes, exposomics holds great potential to uncover complex human-environment interactions and advance personalized healthcare.

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