An internationally recognized testing institution, assisting enterprises in achieving technological advancement.
ZHONGXI Testing has obtained inspection qualification certifications from multiple countries and regions worldwide. We possess a senior testing team and advanced testing methods, providing independent, impartial, and professional third-party verification services for global carbon projects.
Certified by multiple international standards such as CNAS, VCS, and GS, with reports universally applicable worldwide.
Covering 140+ countries and regions, it supports on-site detection and remote verification in multiple languages.
Adopt standard experimental methods to ensure accurate and reliable data.
The identification of the botanical, geographical, or synthetic origin of oil-based materials—including edible vegetable oils, essential oils, mineral lubricants, and hydrocarbon contaminants—has become a critical imperative across the food supply chain, cosmetic and pharmaceutical industries, environmental forensics, and regulatory compliance. Clients seeking such “oil-based source identification” are driven by diverse, high-stakes objectives: verifying the authenticity of extra virgin olive oil against adulteration with lower-grade oils, tracing the geographic provenance of crude oil spills for liability attribution, confirming the botanical species of a high-value essential oil (e.g., Lavandula angustifolia versus Lavandula hybrida), or screening transformer oils for potential mixing with unauthorised base stocks. The inherent chemical complexity of oils—comprising triacylglycerols, fatty acid profiles, sterols, tocopherols, terpenes, and trace metallic markers—demands a multi-modal, orthogonal analytical strategy that transcends single-method approaches. Our laboratory offers a fully integrated, ISO/IEC 17025-accredited platform that combines advanced chromatography, high-resolution mass spectrometry, isotopic ratio mass spectrometry, and chemometric modelling to deliver a definitive, legally defensible source assignment. We achieve speciation at the level of cultivar, geographical micro-region, and even harvest year, with performance metrics that routinely outperform industry norms. This article delineates the scope, methodologies, and distinctive competencies that position our service as the premier choice for oil source authentication and forensic fingerprinting.

The globalisation of oil commodity markets has exponentially increased the opportunities for fraudulent mislabelling, cross-contamination, and inadvertent mixing of incompatible feedstocks. For edible oils, the European Union's Protected Designation of Origin (PDO) and Protected Geographical Indication (PGI) frameworks impose stringent provenance requirements, and non-compliance carries severe penalties. Similarly, in the biofuel sector, the Renewable Energy Directive (RED II) mandates traceability of feedstock origin to verify sustainability criteria. For environmental remediation, identifying the source of a hydrocarbon spill—whether from a pipeline, a ship, or a refinery—is essential for cost allocation and regulatory enforcement. Our service addresses these needs by providing a quantitative, multivariate fingerprint that is both discriminatory and reproducible, enabling our clients to substantiate label claims, defend against false accusations, and optimise supply chain integrity. We recognise that each client’s question is unique; therefore, we tailor our analytical scheme to the specific oil matrix, the expected discriminant markers, and the required legal or commercial standard of proof.
Our integrated platform encompasses four complementary technological pillars, each providing a distinct layer of discriminatory information:
We employ a Q-Exactive Orbitrap mass spectrometer coupled to a UHPLC system operating with reversed-phase C18 and pentafluorophenyl (PFP) columns in series, enabling the simultaneous separation and full-scan high-resolution (70,000 FWHM at m/z 200) detection of triacylglycerols (TAGs), diacylglycerols (DAGs), monoacylglycerols (MAGs), free fatty acids, phospholipids, and glycolipids. The TAG regioisomer distribution (positional isomers of fatty acyl chains on the glycerol backbone) is particularly diagnostic of botanical origin, and we achieve baseline separation of over 150 TAG molecular species in a single 45‑minute run. Using our in-house spectral library and automated compound identification software (TraceFinder™), we provide relative quantitation with a dynamic range of 10⁴ and a coefficient of variation (CV) consistently below 5 % for major constituents. This lipidomic signature serves as the primary, high-dimensional discriminator for distinguishing between closely related oil varieties, such as hazelnut oil versus almond oil, or cold-pressed versus refined olive oil.
Stable isotope ratios of carbon (δ¹³C), hydrogen (δ²H), and oxygen (δ¹⁸O) are powerful indicators of photosynthetic pathway (C3 vs. C4), climatic conditions, and geographical latitude. Our Delta V Advantage IRMS system, equipped with a high-temperature conversion (HTC) module and a gas chromatography interface for compound-specific isotope analysis (CSIA), provides bulk δ¹³C measurements with a precision of ±0.05 ‰ and δ²H with ±1.0 ‰. For even greater specificity, we perform CSIA on individual fatty acids (e.g., palmitic, oleic, linoleic acids) isolated by preparative GC, which decouples isotopic signatures of different biosynthetic origin. This multi-isotope approach is exceptionally robust for differentiating temperate versus tropical origins, detecting the addition of C4-derived oils (e.g., corn oil) to C3-derived olive oil, and even identifying the irrigation water source—a critical parameter for premium labelled products.
The elemental composition of oil reflects the geochemical characteristics of the soil, fertilisation practices, and processing equipment. We digest oil samples by microwave-assisted closed-vessel acid digestion and analyse the digests using an Agilent 8900 triple-quadrupole ICP-MS. Our panel covers 45 elements, including toxic metals (Pb, Cd, As, Hg), essential micronutrients (Zn, Cu, Mn, Se), and REEs (La, Ce, Nd, Yb). The REE patterns are particularly valuable for geographical provenance, as they are not influenced by biological metabolism and are largely preserved through refining. We achieve detection limits in the sub-ppt (pg/g) range for most elements, and our multi-elemental profiles are processed by canonical discriminant analysis and support vector machines to assign origin with a classification accuracy exceeding 98 % in blind trials.
For essential oils and flavour oils, the volatile terpenic and aromatic compounds provide a unique “odorprint”. We utilise comprehensive two-dimensional gas chromatography (GC×GC) coupled to a time-of-flight mass spectrometer (LECO Pegasus® BT) with a solid-phase microextraction (SPME) or direct headspace injection. The superior peak capacity of GC×GC (up to 10,000 peaks) resolves co-eluting isomers (e.g., α-pinene vs. β-pinene, linalool vs. linalyl acetate) with absolute confidence. Our automated peak table alignment and template matching against a proprietary library of > 500 essential oil profiles allows us to detect adulteration down to 2 % (v/v) of a foreign oil, and to distinguish between chemotypes of the same species (e.g., Thymus vulgaris thymol type vs. geraniol type).
Raw instrumental data from the four platforms are integrated into a multivariate statistical framework using our proprietary data fusion pipeline. We perform low-level (concatenation) and mid-level (feature extraction) fusion followed by unsupervised principal component analysis (PCA) for outlier detection and supervised methods including partial least squares–discriminant analysis (PLS-DA), orthogonal PLS-DA (OPLS-DA), and random forest classification. Model validation is carried out by double cross-validation and permutation testing to avoid overfitting. For client-specific questions, we can build binary classification models (e.g., authentic vs. adulterated) or multiclass geographical classifiers with probability outputs, enabling a quantitative likelihood-of-origin statement rather than a simple binary verdict. Our models are continuously updated with new authentic reference samples—currently our reference database exceeds 8,000 well-documented oil samples spanning 65 species and 120 geographical sub-regions—ensuring that our predictions remain current and representative of commercial realities.
Beyond standard origin typing, we offer targeted adulteration detection using marker compounds that are specific to cheaper or non-declared oils. For olive oil, we quantify the sterol profile (β-sitosterol, stigmasterol, campesterol) by GC-FID and confirm with GC-MS, and we measure stigmastadienes to detect the presence of refined or deodorised oils. For mineral oil-based products, we apply hydrocarbon type analysis (saturates, aromatics, resins, asphaltenes – SARA) by thin-layer chromatography with flame ionisation detection (TLC-FID) and coupled with full-range GC×GC–HRMS to detect characteristic biomarker molecules (hopanes, steranes) that are source-specific for crude oil families. We also perform Polycyclic Aromatic Hydrocarbon (PAH) and alkylated PAH profiling, which is essential for distinguishing between petrogenic (crude-derived) and pyrogenic (combustion-derived) contamination. This forensic depth has been instrumental in several legal cases, where our testimony has been accepted in court based on the rigorous statistical confidence intervals that we assign to each source attribution.
Our entire workflow operates under a dual-quality management system that combines ISO 17025:2017 accreditation with the OECD Principles of Good Laboratory Practice (GLP). We incorporate certified reference materials (NIST SRM 2773 – olive oil, SRM 2774 – vegetable oil blend) in every analytical batch to validate instrument performance and to establish control charts with Western Electric rules for early warning of drift. For IRMS, we use internationally recognised calibration standards (IAEA-CH-6, IAEA-600) and correct for memory effects using a three-point linear normalisation. All raw data, processing logs, and spectral libraries are archived in an electronic data management system compliant with 21 CFR Part 11, ensuring full audit trail and data integrity. We also participate in the FAPAS® international proficiency testing scheme for edible oil authenticity, consistently achieving z-scores within ±1.0 across all reported parameters.
Our laboratory occupies a unique position in the oil testing landscape, based on several key differentiators:
Interdisciplinary expertise: Our team includes PhD-level analytical chemists, lipid biochemists, isotope geochemists, and cheminformaticians who collaborate on each project. This enables us to design bespoke workflows for novel oil matrices (e.g., algal oils, insect oils) for which no standard methods exist, and to interpret contradictory data from different platforms in a biologically and geochemically coherent manner.
Ultra-high sensitivity and specificity: By using Orbitrap and triple-quadrupole ICP-MS in tandem with GC×GC-TOFMS, we achieve detection thresholds and isomer discrimination that are generally not available in commercial food testing laboratories, which typically rely on conventional GC-FID or simple LC-UV. This allows us to identify trace adulterants at levels as low as 0.5 %, far below the 5 % threshold often cited in international standards, giving our clients an early warning advantage.
Predictive modelling and interpretive reporting: Rather than presenting a set of tables, we deliver a comprehensive, visually enhanced report that includes PCA and PLS-DA score plots, loadings plots to identify diagnostic variables, and a clear statement of the assigned origin with a probability metric. We also provide a supplementary data package containing peak lists, chromatograms, and raw spectra, empowering clients to conduct their own peer review or to submit our data directly to regulatory bodies.
Rapid turnaround with full scientific rigour: Despite the complexity of the analytical cascade, we have optimised our sample preparation workflows—including rapid microwave digestion, automated liquid-liquid extraction, and robotic SPE—to provide a full multi-platform fingerprint within 10 working days, with express options available for forensic emergencies. Our project managers maintain weekly communication to update clients on progress and to adjust protocols based on interim findings.
We are actively developing methods to assess the thermal history and age of oils, which are often requested for quality forensics. By quantifying the levels of trans-fatty acids, polymerised TAGs, and volatile degradation products (e.g., hexanal, 2,4-decadienal) via our GC×GC–TOFMS, we can estimate whether an oil has been subjected to excessive heating or prolonged storage, and we can assign a relative “freshness index” calibrated against accelerated ageing studies. This extends our service from static identity to dynamic quality trajectory, which is of growing interest to insurers, dispute lawyers, and long-term storage operators.
Our final reports are structured to meet the evidentiary requirements of major regulatory regimes: the EU Regulation 1169/2011 on food information, the US FDA’s Foreign Supplier Verification Program (FSVP), the Codex Alimentarius Standard for Named Vegetable Oils (CODEX STAN 210-1999), and the ISO 17034 reference material requirements. For environmental applications, our isotopic and biomarker data align with the ASTM D5730 standard for oil spill identification and the EN 16640 for bio-based carbon content determination. We are prepared to assist our clients in drafting submission-ready dossiers that incorporate our analytical results, thus bridging the gap between laboratory science and regulatory compliance.
We understand that many oil source identification enquiries are highly sensitive, involving proprietary recipes, trade secrets, or ongoing litigation. Consequently, we offer strict confidentiality agreements and provide separate project coding to insulate client identities from our analytical teams. We also offer a consultative pre-study phase where we evaluate the client’s specific question, the sample matrix, and the required discriminatory power, and then recommend the most cost-effective tier of analysis—ranging from a rapid screening using only IRMS and TAG profiling to a full forensic suite including VOC and trace elements. This flexible approach ensures that our clients receive optimal value without paying for unnecessary tests.
To maintain our leadership, we are implementing deep learning convolutional neural networks (CNNs) for the automatic interpretation of GC×GC contour plots, enabling real-time pattern recognition that can flag outliers before the full quantitative report is generated. We are also validating a portable Fourier-transform infrared (FTIR) spectrometer coupled with a chemometric model that can be deployed in the field or at the receiving dock for rapid triage; positive matches are then confirmed by our central laboratory. This hybrid approach combines speed and precision, offering our clients a seamless workflow from initial screening to definitive verification.
Oil source identification is not a single-parameter measurement but a multidimensional analytical challenge that demands state-of-the-art instrumentation, deep scientific expertise, and rigorous data interpretation. Our integrated platform provides a comprehensive, defensible, and actionable origin assignment that has been validated through thousands of case studies across multiple industries. We invite you to partner with us to secure your supply chain, protect your brand’s authenticity, and resolve any uncertainty regarding the true identity of your oil-based materials. With our unmatched technological depth, quality systems, and consultative approach, we are uniquely positioned to deliver the clarity and confidence that your high-stakes decisions require.
Beijing ZKGX Institute of Science and Technology , combining applied research with technological transformation. It has evolved into a comprehensive research institute characterized primarily by a "task-driven disciplines" approach. Approved by relevant authorities, it currently operates as a third-party analytical testing technical service provider. Its affiliated laboratory facilities hold certifications including CMA and CNAS, possess an Experimental Animal Use License, and have achieved triple certification for ISO9001 Quality Management System, ISO14001 Environmental Management System, and ISO45001 Occupational Health and Safety Management System.