Application Of Fingerprinting Research Articles

FingeRNAt—A novel tool for high-throughput analysis of nucleic acid-ligand interactions

Computational methods play a pivotal role in drug discovery and are widely applied in virtual screening, structure optimization, and compound activity profiling. Over the last decades, almost all the attention in medicinal chemistry has been directed to protein-ligand binding, and computational tools have been created with this target in mind. With novel discoveries of functional RNAs and their possible applications, RNAs have gained considerable attention as potential drug targets. However, the availability of bioinformatics tools for nucleic acids is limited. Here, we introduce fingeRNAt—a software tool for detecting non-covalent interactions formed in complexes of nucleic acids with ligands. The program detects nine types of interactions: (i) hydrogen and (ii) halogen bonds, (iii) cation-anion, (iv) pi-cation, (v) pi-anion, (vi) pi-stacking, (vii) inorganic ion-mediated, (viii) water-mediated, and (ix) lipophilic interactions. However, the scope of detected interactions can be easily expanded using a simple plugin system. In addition, detected interactions can be visualized using the associated PyMOL plugin, which facilitates the analysis of medium-throughput molecular complexes. Interactions are also encoded and stored as a bioinformatics-friendly Structural Interaction Fingerprint (SIFt)—a binary string where the respective bit in the fingerprint is set to 1 if a particular interaction is present and to 0 otherwise. This output format, in turn, enables high-throughput analysis of interaction data using data analysis techniques. We present applications of fingeRNAt-generated interaction fingerprints for visual and computational analysis of RNA-ligand complexes, including analysis of interactions formed in experimentally determined RNA-small molecule ligand complexes deposited in the Protein Data Bank. We propose interaction fingerprint-based similarity as an alternative measure to RMSD to recapitulate complexes with similar interactions but different folding. We present an application of interaction fingerprints for the clustering of molecular complexes. This approach can be used to group ligands that form similar binding networks and thus have similar biological properties. The fingeRNAt software is freely available at https://github.com/n-szulc/fingeRNAt.

Application of stable isotopic and mineral elemental fingerprints in identifying the geographical origin of concentrated apple juice in China

Food traceability is an important component of food safety and quality. Currently, there is no authentic established technique to identify the origin of concentrated apple juice (CAJ) in China. In this study, the isotopes of δ13C, δ18O and the contents of 32 elements in CAJ from five production areas (BHB, NWR, SCH, LP and YRAR) were determined. The δ13C, δ18O and 28 elements were significantly different (P < 0.05: post-hoc Duncan’s test) in the five production areas. PCA, PLS-DA and OPLS-DA were employed for regional classification of samples. The results show that ten key variables (Tl, Se, δ18O, B, Mg, Sr, Nd, Mo, As, and Na) are more relevant for discrimination of the samples. These findings contribute to understanding the variations of stable isotopic and element compositions in Chinese CAJ depending on geographic origins and offer valuable insight into the control of fraudulent labeling regarding the geographic origins of CAJ.

Overview of WiFi fingerprinting‐based indoor positioning

Location-based services have attracted significant attention since the concept of Industry 4.0 was proposed and the ‘Internet +’ era began owing to its social and commercial value. Many scholars have attempted to introduce machine learning in indoor fingerprint positioning to improve indoor positioning accuracy, enhance system robustness, reduce costs, and improve the performance of indoor positioning methods. A comprehensive overview of indoor positioning technology, its methods, and classifications is provided. Furthermore, a detailed review of the application of WiFi fingerprinting and machine learning methods in indoor positioning is presented, and the advantages and disadvantages of these methods when applied to indoor positioning are analyzed. This study summarizes the difficulties and challenges encountered by indoor positioning and suggests development directions.

Improving Image Quality Assessment Based on the Combination of the Power Spectrum of Fingerprint Images and Prewitt Filter

The assessment of fingerprint image quality is critical for most fingerprint applications. It has an impact on the performance and compatibility of fingerprint recognition, authentication, and built-in cryptosystems. This paper developed an improved fingerprint image quality assessment derived from the image power spectrum approach and combined it with the Prewitt filter and an improved weighting method. The conventional image power spectrum approach and our proposed approach were implemented for accuracy and reliability tests using good, faulty, and blurred fingerprint images. The experimental results showed the proposed algorithm accurately identified the sharpness of fingerprint images and improved the average difference in FIQMs to 61% between three different levels of blurred fingerprints compared with that achieved by a conventional algorithm.

Development of red-emitting La2ZnTiO6:Eu3+ phosphors for WLED and visualization of latent fingerprint applications

Lanthanum zinc titanium double perovskite doped with europium ions (La2ZnTiO6:Eu3+(LZTO:Eu3+)) were prepared by a sol–gel method followed by annealing treatment. The developed LZTO:Eu3+ phosphors were validated by demonstrating the structural, morphological and photoluminescence (PL) properties. The PL excitation and PL emission spectra confirmed that the LZTO:Eu3+ phosphors emit bright red light under near-ultraviolet (396 nm) and visible (465) nm radiations. The optimal doping concentration of Eu3+ ions was found to be about 8 mol%. The Commission International de L′Eclairage (CIE) chromaticity coordinates for LZTO:8Eu3+ phosphors were located in the red region with (0.645, 0.346) under 396 nm excitation and (0.644, 0.354) under 465 nm excitation and exhibited the color purity of about 90.3%. All the results indicate that the LZTO:Eu3+ phosphors would be the potential candidates for their use in WLEDs and visualizing the latent fingerprints.

Application of elemental fingerprinting for the authentication of tea: A review

Physicochemical and Phytochemical evaluation of different black tea brandsPradeep Kumar Sharma, Mohammad Ali, Dinesh Kumar Yadav

Integrated differentiation of multiple trichloroethylene and tetrachloroethylene groundwater impacts using spatial concentration, biodegradation indices, chemical fingerprinting and carbon/chlorine isotope patterns

Conventional testing methods provide sufficient information to evaluate human or ecological risk. However, contaminant concentrations patterns alone provide only limited resolution of important liability issues, such as when and where did contaminant releases originate. Over the past few decades, scientists explored the isotope applications to better identify, delineate, and manage contaminants in the environment. Advanced chemical fingerprinting and isotope technologies revealed important linkages between isotope ratios and contaminant origins (e.g., chemical feedstock and manufacturing process). Studies of environmental weathering distinguished abiotic and biotic changes in the chemical composition and isotope patterns. The combined application of chemical and isotopic fingerprints offers powerful complementary lines of evidence for delineating contaminants, assessing risk, and identifying historical sources. This manuscript provides an integrated forensic approach that systematically links conventional environmental investigation data with specialized chemical fingerprinting and carbon/chlorine isotope methods for identifying the sources of groundwater impacts especially when multiple potential point and non-point sources exist. This paper focusses on chlorinated solvents. Specifically, it features the synoptic use of chemical concentration patterns and compound-specific isotope analysis (CSIA) as effective tools for confirming organic contaminant sources, characterizing environmental weathering, and answering a growing list of site-specific questions. Unlike conventional isotope methods, which can be both time-consuming and expensive, this paper presents an optimized analytical method for chlorine CSIA using gas chromatography-quadrupole mass spectrometry (GC-qMS). Chlorine isotopic composition for multiple analytes (e.g., tetrachloroethylene [PCE], trichloroethylene [TCE], dichloroethylene [DCE], and vinyl chloride [VC]) can be determined in one acquisition thus reducing analysis time and cost. Precise CSIA isotope values were achieved for chloroethylene concentrations between approximately 5 micrograms per liter (ug/l) and 100 ug/l for carbon and between approximately 30 ug/l to 1,000 ug/l for chlorine. The gradual improvement in CSIA methods better addresses the wide concentration range encountered in typical samples collected from groundwater aquifers with significant chlorinated solvent impacts. A case study is presented featuring a tiered forensic investigation using spatial chemistry and isotope patterns to evaluate commingled plumes of PCE and TCE.

Progress and prospect of application of traditional Chinese medicine fingerprint (specific chromatogram) in Chinese Pharmacopoeia (2010-2020)

The Chinese Pharmacopoeia began to apply fingerprints (specific chromatogram) to quality control of traditional Chinese medicine in its 2010 edition, and in its 2015 and 2020 editions, new fingerprints (specific chromatogram) were added for improvement of the Pharmacopoeia-based national standards for drugs. This review analyzes the traditional Chinese medicine fingerprints (specific chromatogram) in Chinese Pharmacopoeia (2010-2020) in terms of the number of varieties listed, application of fingerprints (specific chromatogram), selection of evaluation method, determination method, the selection of extraction or preparation solvents of the test samples. With the expansion of the application of fingerprints (specific chromatogram), the evaluation indicators are constantly improving. The future development of the fingerprints (specific chromatogram) is also discussed in light of the selection of appropriate extraction or preparation solvents to obtain effective substances, which is the basis for the establishment of the fingerprints; multiple fingerprints for one drug based on different functional indications or basic sources, which expands the application of the fingerprints; addition of technical guidelines for traditional Chinese medicine fingerprints to standardize the use of the fingerprints; and the regular revision, update and application expansion of the fingerprints to ensure its essential role in quality control of traditional Chinese medicine.

Chromatographic fingerprint application possibilities in food authentication

The aim of the study was to compare the effectiveness of the use of low-peak chromatographic fingerprints for the differentiation of various food products. Three groups of unprocessed products (mushrooms, hazelnuts and tomatoes), food preparations (bread, dried herbs and tomato juice) and alcoholic beverages (vodka and two types of blended whiskey) were examined. A commercial electronic nose based on ultrafast gas chromatography (acquisition time 90 s) with a flame ionization detector was used for the research. Static headspace was used as a green procedure to extract volatile compounds without modifying the food matrix. Individual extraction conditions were used for each product group. Similarities and differences between profiles were analyzed by simple Principal Components Analysis. The similarity rating was determined using the Euclidean distances. Global model was built for recognition chromatographic fingerprints of food samples. The best recognition results were 100% and 89% for tomato juices, spices, separate champignon elements and hazelnuts. On the other hand, the worst recognition results were 56% and 77% for breads and strong alcoholic beverages.

Application of Hplc Fingerprint Combined with Chemical Pattern Recognition and Multi-Component Determination in Quality Evaluation of Echinacea Purpurea (L.) Moench

Application of Hplc Fingerprint Combined with Chemical Pattern Recognition and Multi-Component Determination in Quality Evaluation of Echinacea Purpurea (L.) Moench

Implementation of Fingerprint Technology for Unique Patient Matching and Identification at an HIV Care and Treatment Facility in Western Kenya: Cross-sectional Study.

BackgroundUnique patient identification remains a challenge in many health care settings in low- and middle-income countries (LMICs). Without national-level unique identifiers for whole populations, countries rely on demographic-based approaches that have proven suboptimal. Affordable biometrics-based approaches, implemented with consideration of contextual ethical, legal, and social implications, have the potential to address this challenge and improve patient safety and reporting accuracy. However, limited studies exist to evaluate the actual performance of biometric approaches and perceptions of these systems in LMICs.ObjectiveThe aim of this study is to evaluate the performance and acceptability of fingerprint technology for unique patient matching and identification in the LMIC setting of Kenya.MethodsIn this cross-sectional study conducted at an HIV care and treatment facility in Western Kenya, an open source fingerprint application was integrated within an implementation of the Open Medical Record System, an open source electronic medical record system (EMRS) that is nationally endorsed and deployed for HIV care in Kenya and in more than 40 other countries; hence, it has potential to translate the findings across multiple countries. Participants aged >18 years were conveniently sampled and enrolled into the study. Participants’ left thumbprints were captured and later used to retrieve and match records. The technology’s performance was evaluated using standard measures: sensitivity, false acceptance rate, false rejection rate, and failure to enroll rate. The Wald test was used to compare the accuracy of the technology with the probabilistic patient-matching technique of the EMRS. Time to retrieval and matching of records were compared using the independent samples 2-tailed t test. A survey was administered to evaluate patient acceptance and satisfaction with use of the technology.ResultsIn all, 300 participants were enrolled; their mean age was 36.3 (SD 12.2) years, and 58% (174/300) were women. The relevant values for the technology’s performance were sensitivity 89.3%, false acceptance rate 0%, false rejection rate 11%, and failure to enroll rate 2.3%. The technology’s mean record retrieval speed was 3.2 (SD 1.1) seconds versus 9.5 (SD 1.9) seconds with demographic-based record retrieval in the EMRS (P<.001). The survey results revealed that 96.3% (289/300) of the participants were comfortable with the technology and 90.3% (271/300) were willing to use it. Participants who had previously used fingerprint biometric systems for identification were estimated to have more than thrice increased odds of accepting the technology (odds ratio 3.57, 95% CI 1.0-11.92).ConclusionsFingerprint technology performed very well in identifying adult patients in an LMIC setting. Patients reported a high level of satisfaction and acceptance. Serious considerations need to be given to the use of fingerprint technology for patient identification in LMICs, but this has to be done with strong consideration of ethical, legal, and social implications as well as security issues.

Lead isotopic characteristics of gun bullets prevailed during the 19th century in Japan: Constraints on the provenance of lead source from the United Kingdom and Japan

Metal lead constitutes one of the major elements of the common historic firearm’s bullets. Since their early development in Medieval China, lead bullets in combination with gunpowder have been consistently used in historical wars worldwide. The increasing demand to produce lead bullets peaked during the 19th century when multiple wars were happening across the world. However, limited information was available for the source of lead bullets, which was revealed on the basis of sample collection from the relevant battlefields during the known historic conflicts. We examined the lead isotopic (204Pb, 206Pb, 207Pb, and 208Pb) compositions of historic bullets common during the early-to-mid-19th century, which were obtained from different areas of Japan to investigate their provenances. Special emphasis was placed on two civil wars, the Boshin War (1868–1869) and the subsequent Satsuma Rebellion (1877, also called the Seinan War), for the source analysis of the bullets. The worldwide isotopic databases of lead ores were used for the comparison. Our results show a potential temporal shift in the source of lead for bullet production.Spherical gun bullets were used until the early stage of the Boshin War, which were suggested to be made from either Japanese domestic lead or lead imported from the United Kingdom. This result implies that the lead from the United Kingdom shared a major worldwide market for exportation during the mid-19th century. However, the share of domestic lead in bullets increased during the later stages of the Boshin War as the style changed from spherical to acorn-shaped (conical–cylindrical soft lead bullets). This suggests that each clan not only imported bullets from abroad but also tried to manufacture bullets themselves during this civil war. Moreover, reflecting the difference in the style of relevant guns (Snider vs. Enfield rifles), two major lead sources were suggested for the bullets used during the time of the Satsuma Rebellion, i.e., Japanese ore lead and lead imported from the United Kingdom. The Pb isotope ratios illustrated the difference of equipment for both armies, namely, that governmental forces exclusively used newer rifle (Snider rifle) with imported gun bullets from the United Kingdom, whereas the rebel army fought using older weapon (Enfield rifle) with bullets manufactured themselves. This study demonstrates that an application of lead isotopic fingerprinting on the basis of regional sample collections provides important evidence for better understanding the relevant socioeconomic regimes that are not able to be fully reconstructed by historians.

Effect of dictionary optimization on relaxation time maps in low field MR fingerprinting applications

Effect of dictionary optimization on relaxation time maps in low field MR fingerprinting applications

Ion composition profiling and pattern recognition of vegetable sap using a solid-contact ion-selective electrode array

This is the first study to develop an effective tool for plant sap analysis based on a solid-contact ion-selective electrode (SCISE) array, which has the advantages of on-site, direct and fast analysis. SCISEs are all-solid-state ion-selective electrodes with a conducting polymer for ion-to-electron transduction. With the conducting polymer solid-contact, the electrodes perform high stability and short response time (<30 s) during potentiometric sensing. The developed SCISE array consists of potassium (SEN = 51.9 mV/decade), sodium (64.2 mV/decade), ammonium (59.3 mV/decade), calcium (32.1 mV/decade), and magnesium (33.0 mV/decade) selective electrodes. To verify the application, seven types of fresh crude vegetable leaf juices (ion concentration range: 10−3–10−4 M) were measured with the array, and the result was compared with ion chromatography. It was found that the array was able to obtain the unique, distinguishable ion composition profile as a radar plot of each vegetable sap, implying the fingerprint application of the present technology. Furthermore, applying principle component analysis (PCA) and K-means clustering, lettuces grown in different environments (deficiency either in potassium or in nitrate) are able to be discriminated. In summary, we demonstrate a tool for on-site, high-throughput and direct plant sap analysis based on SCISE array. Moreover, it could combine with pattern recognition and become a promising tools which could provide a diagnosis of the nutritive status of vegetables.

One-pot synthesis of some new 7‑hydroxy-5-(4-substitutedphenyl)-9-methyl-1,5-dihydro-2H-dipyrimido[1,2-a:4′,5′-d]pyrimidine-2,4(3H)‑dione derivatives and it's optoelectronic, DFT, photocatalytic studies and latent fingerprint applications

Metal-free organic dyes are gaining interest and demands in the field of light absorption and light-emitting applications. In this study, we developed efficient one-pot synthesis of 7‑hydroxy-5-(4-substitutedphenyl)-9-methyl-1,5-dihydro-2H-dipyrimido[1,2-a:4′,5′d]pyrimidine-2,4(3H)‑dione derivatives 4(a-d) using L-proline as a catalyst and structures were confirmed by analytical and spectroscopic techniques. Photophysical properties have been studied in a liquid medium; compounds are absorbed in bathochromic shift at ∼300–500 nm and blue emission at 530 nm, 560 nm, 401 nm and 614 nm, 622 nm respectively. Electrochemical behavior was studied at different scan rates in CH Potentiostat. CV results revealed that all the compounds shows quasi reversible behavior and experimental HOMO-LUMO have been calculated. FMOs, optimized structure and quantum parameters along with UV, FT-IR and COSMO-RS were investigated theoretically. From the theoretical results, compounds are in good agreement with experimental values with better photostability and chemical reactivity. Further, compounds are excellent photocatalysts towards the dye degradation of malachite green dye by reaching 65%, 83%, 87% and 65% respectively. In addition, LFPs images were developed on porous/nonporous materials and visualized under UV light, compounds are excellent adhesion and sensitivity on the porous/nonporous materials. Hence, the obtained compounds can be used as organic electronics application-oriented materials and in forensic Science.

Application of UHPLC Fingerprints Combined with Chemical Pattern Recognition Analysis in the Differentiation of Six Rhodiola Species.

Rhodiola, especially Rhodiola crenulate and Rhodiola rosea, is an increasingly widely used traditional medicine or dietary supplement in Asian and western countries. Because of the phytochemical diversity and difference of therapeutic efficacy among Rhodiola species, it is crucial to accurately identify them. In this study, a simple and efficient method of the classification of Rhodiola crenulate, Rhodiola rosea, and their confusable species (Rhodiola serrata, Rhodiola yunnanensis, Rhodiola kirilowii and Rhodiola fastigiate) was established by UHPLC fingerprints combined with chemical pattern recognition analysis. The results showed that similarity analysis and principal component analysis (PCA) could not achieve accurate classification among the six Rhodiola species. Linear discriminant analysis (LDA) combined with stepwise feature selection exhibited effective discrimination. Seven characteristic peaks that are responsible for accurate classification were selected, and their distinguishing ability was successfully verified by partial least-squares discriminant analysis (PLS-DA) and orthogonal partial least-squares discriminant analysis (OPLS-DA), respectively. Finally, the components of these seven characteristic peaks were identified as 1-(2-Hydroxy-2-methylbutanoate) β-D-glucopyranose, 4-O-glucosyl-p-coumaric acid, salidroside, epigallocatechin, 1,2,3,4,6-pentagalloyglucose, epigallocatechin gallate, and (+)-isolarisiresinol-4′-O-β-D-glucopyranoside or (+)-isolarisiresinol-4-O-β-D-glucopyranoside, respectively. The results obtained in our study provided useful information for authenticity identification and classification of Rhodiola species.

Pharmacognostic and Pharmacological Study of Helicteres isora. Linn. - A Review

Aim: In this article we compiled the whole plant of Helicteres.isora Linn showed excellent medicinal merits from ancient time belonging to the family Sterculiacea, which commonly known as murud sheng.&#x0D; Study Design: The Pharmacognostic study i.e. microscopic and macroscopic study with preliminary phytochemical test on different parts of plant performed in a Datta Meghe college of pharmacy,Datta meghe Institute of Medical sciences, Wardha, in collaboration with Balkh university,Mazar-e-Sharif during the period of January 2021 to Septmber 2021.&#x0D; Methodology: In the preliminary study focus on all pharmacognostic, by microscopic identification,by TLC, HPTLC by fingerprint application and phytochemical test of root extract, stem, leaf and fruit powder from different researchers study, which showed the presence of carbohydrates, protein, alkaloids, cardiac glycoside, flavonoids, tannins, essential oil etc which shows number of medicinal merits&#x0D; Results: During the study all investigators investigate, different region shows minute change in organoleptic charecteristics as well as phytochemical constituents and pharmacological study exhibits activities like Fruit showed Antioxidant, Antidiabetic and Antihyperlipidemic activity, Bark extract showed Antihelmintic activity , Root extract as Anticancer.&#x0D; Conclusion: According to study we conclude that Helicteres Isora Linn whole plant parts as well chemical constituents in every part is effective and used medicinally so further investigations are necessary to find out the active bio active molecules responsible to cure different disorders

Vitis vinifera L. Pruning Waste for Bud-Preparations as Source of Phenolic Compounds-Traditional and Innovative Extraction Techniques to Produce New Natural Products.

Herbal products are now considered among the most important sources of phenolic compounds: the FINNOVER project aimed at the creation and development of sustainable supply chains to extract and use natural biologically active agents. Vitis vinifera is one of the most utilised herbal products derived from buds and sprouts as polyphenolic food supplements for its homeostatic and astringent properties. This research was aimed to describe the antioxidant capacity and the phytochemical composition of V. vinifera herbal products by the application of spectroscopic and chromatographic fingerprints considering phenolics as potential markers to significantly differentiate traditional preparations (macerates) from innovative extracts obtained by an ultrasound extraction from V. vinifera buds. Two different commercial products were also considered. Flavonols were the most abundant class in ultrasound extracts (45%), while phenolic acids were the most important class in traditional macerates (49%) and commercial bud-preparations (about 50%). This study may support the potential use of V. vinifera bud-products (starting from pruning byproducts) as food supplements to integrate human diet with good amounts of phenolics. Finally, the use of different extraction methods on the same plant material could be an important development to produce innovative herbal products with a phytochemical composition similar to traditional preparations.

Application of fingerprint combined with quantitative analysis and multivariate chemometric methods in quality evaluation of dandelion (Taraxacum mongolicum).

A quality assessment method based on quantitative analysis of multi-components by single marker (QAMS) and fingerprint was constructed from 15 batches of dandelion (Taraxacum mongolicum), using multivariate chemometric methods (MCM). MCM were established by hierarchical cluster analysis (HCA) and factor analysis (FA). HCA was especially performed using the R language and SPSS 22.0 software. The relative correction factors of chlorogenic acid, caffeic acid, p-coumaric acid, luteolin and apigenin were calculated with cichoric acid as a reference, and their contents were determined. The differences between external standard method (ESM) and QAMS were compared. There was no significant difference (t-test, p > 0.05) in quantitative determination, proving the consistency of the two methods (QAMS and ESM). Dandelion material from Yuncheng, Shandong was used as a reference chromatogram. The fingerprints in 15 batches of dandelion were established by HPLC analysis. The similarity of the fingerprints in different batches of dandelion material was greater than or equal to 0.82. A total of 10 common peaks were identified. This strategy is simple, rapid and efficient in multiple component detection of dandelion. It is beneficial in simplifying dandelion's quality control processes and providing references to enhance quality control for other herbal medicines.

Current Applications and Future Development of Magnetic Resonance Fingerprinting in Diagnosis, Characterization, and Response Monitoring in Cancer.

Simple SummaryMagnetic resonance fingerprinting (MRF) is a framework for acquiring co-registered multiparametric magnetic resonance mapping with increased scan efficiency. Many studies have explored the use of MRF for cancer management. A review on the current developments in this area has not yet been written but is needed to keep both clinicians and researchers updated. This review summarises recent studies detecting and characterising tumours using MRF, with a focus on brain tumours, prostate cancers, and abdominal/pelvic cancers. Advances in MRF for radiotherapy planning are also mentioned. The principles and limitations of MRF have been simplified to increase accessibility to clinicians with minimal radiological backgrounds. Future oncological applications of MRF are explored, including integrating MRF and deep learning, as well as the use of MRF in assessing disease heterogeneity. We propose further research that needs to take place before MRF can provide a credible means for assessing tumour biomarkers or be accepted by clinicians.Magnetic resonance imaging (MRI) has enabled non-invasive cancer diagnosis, monitoring, and management in common clinical settings. However, inadequate quantitative analyses in MRI continue to limit its full potential and these often have an impact on clinicians’ judgments. Magnetic resonance fingerprinting (MRF) has recently been introduced to acquire multiple quantitative parameters simultaneously in a reasonable timeframe. Initial retrospective studies have demonstrated the feasibility of using MRF for various cancer characterizations. Further trials with larger cohorts are still needed to explore the repeatability and reproducibility of the data acquired by MRF. At the moment, technical difficulties such as undesirable processing time or lack of motion robustness are limiting further implementations of MRF in clinical oncology. This review summarises the latest findings and technology developments for the use of MRF in cancer management and suggests possible future implications of MRF in characterizing tumour heterogeneity and response assessment.