Method For Quantitative Detection Research Articles

Use of spectral transmittance model to improve the detection accuracy of chromium in soil

As a new quantitative analysis method for heavy-metal elements in soil, the main function of the polarization resolution model is to filter out the disturbance of other elements on the spectral signal of target plasma. In order to quantify the mechanism of improving detection performance, the spectral transmittance of plasma intensity in the polarization-resolved optical path has been derived, and the relationship between the intensity of polarization-resolved laser-induced breakdown spectroscopy (PRLIBS) and the characteristic peak wavelength has been defined. Using the spectral data in the wavelength range of 424.50–429.24 nm as the characteristic signal, a quantitative analysis method for detection of the Cr element in soil has been developed. The improvement of spectral intensity stability at the characteristic peak of Cr I 425.7 was analyzed, and the mechanism of enhancing the detection accuracy was elucidated. Research has shown that, based on the polarization characteristics of Cr element plasma, PRLIBS is not affected by the matrix effects of soil and characterizes the amplitude conversion from the reference concentration of Cr element to the plasma spectral intensity. The spectral transmittance of plasma spectra depends not only on the characteristic peak wavelength and complex refractive index of heavy-metal elements but also on the measurement conditions such as spatial geometric angles and reflectivity of the transmission medium.

Enhancing accuracy and reproducibility in asphalt VOCs qualitative and quantitative analysis: Insights from laboratory studies on emission characteristics

Asphalt pavement will emit Volatile Organic Compounds (VOCs) during life cycle, posing environmental and health risks. Precise understanding of the emission characteristics of asphalt VOCs will facilitate the formulation of targeted measures for reducing emissions. Simulating the emission characteristics of VOCs from asphalt under laboratory conditions is an effective method for predicting asphalt VOCs pollution and implementing effective control measures. In this study, a quality control method for qualitative and quantitative detection of asphalt VOCs in laboratory settings was established based on sample storage time, asphalt sources, and temperature sensor positions. Furthermore, the study investigated the influence of mixing speed and sampling pump speed during asphalt VOCs generation on the emission characteristics. The results demonstrate that the quality control methods exhibit excellent reproducibility and reliability, making them valuable for future research and emission control strategies. Furthermore, the total concentration of asphalt VOCs increases with higher mixing speeds, but stabilizes when the mixing speed reaches 750–1250 r/min. As mixing speed increases, the proportion of alkane groups significantly decreases, while the proportion of aldehydes markedly increases, with the overall proportion remaining relatively stable. Decreasing sampling pump speed leads to a gradual increase in asphalt VOCs concentration. At lower pump speeds, a nonlinear increase in concentration occurs due to VOCs enrichment effects. Asphalt VOCs concentrations exhibit a proportional increase with sampling pump speeds exceeding 1000 ml/min. Finally, based on the results of the three-level analysis of "total concentration-group-substance" and taking into account the energy consumption, it is recommended that the mixing speed be set at 1000 r/min and the sampling pump speed be set at 1000 ml/min for the generation and collection of asphalt-related VOCs. This study can provide a reliable method for generating and collecting asphalt-related VOCs and offer critical insights for optimizing VOCs emission reduction strategies.

A comparative study of extraction free detection of HBV DNA using sodium dodecyl sulfate, N-lauroylsarcosine sodium salt, and sodium dodecyl benzene sulfonate

This study aimed to develop an extraction-free method for quantitative and qualitative detection of HBV DNA compared to traditional nucleic acid extraction. Paired serum and dried blood spot (DBS) samples from 67 HBsAg-positive and 67 HBsAg-negative individuals were included. Two samples with known HBV DNA titers (~ 109 copies/mL) were examined by extraction-free detection using three surfactants (0.2 to 1% of Sodium dodecyl sulfate:SDS, N-Lauroylsarcosine sodium salt:NL, Sodium dodecyl benzene sulfonate:SDBS), two stabilizing agents (0.1 or 0.01% 2-Mercaptoethanol:2ME and 3.5 or 7% Bovine Serum Albumin:BSA) and two Taq polymerases (Fast Advanced and Prime Direct Probe). HBV DNA in all 67 HBsAg-positive and 67 HBsAg-negative serum and DBS samples was directly quantified by Rt-PCR using 0.4% SDS or 0.4% NL with Fast Advance or Prime Direct Probe Taq. Extraction-free amplification was also performed. Detection limits were varied by different surfactants and Taq. SDS combined with Fast Advanced Taq showed lower detection limits, while SDS with Prime Direct Probe Taq outperformed NL or SDBS-based detection. Adding 2ME to SDS improved detection limit with Prime Direct Probe Taq but not significantly compared to SDS alone. BSA did not significantly enhance detection limits but provided insights into sample stability. The senitivity and specificity of 0.4% SDS and NL in combination with either Fast advanced or Prime Direct Probe Taq polymerase in serum samples were > 90% and 100% resepctively, while it was > 80% and 100% respectively in DBS samples. Extraction-free HBV DNA amplification provided 100% identity with original genomes. Our study suggests that SDS, NL or SDBS-based extraction-free HBV DNA detection strategies using Prime Direct Probe Taq have potential to simplify and accelerate HBV DNA detection with high sensitivity and specificity in both serum and DBS samples, with implications for resource-limited settings and clinical applications. Utilizing surfactants with 2ME is optional, and further research and validation are necessary to broaden its application in real-world diagnostics.

Detection of delamination using laser-generated Lamb waves with improved wavenumber analysis

Abstract Delamination is a typical failure mode in multilayered materials, which may potentially threaten the safety and reliability of the materials if not detected promptly. This paper proposes a novel quantitative detection method for delamination in multilayered materials based on laser-generated Lamb waves with improved wavenumber analysis. First, a three-dimensional(3D) finite element model is established to simulate the interaction between delamination and laser-generated Lamb waves. The propagation characteristics of Lamb waves in multilayered materials without defects and with delamination of three different shapes, i.e., rectangular, circular and triangular are analyzed. And the mechanism that delamination can lead to the appearance of scattered wave and new wavenumber components is investigated, facilitating the quantitative detection of delamination. Then, an improved wavenumber analysis method for quantitative detection of delamination is proposed. The new wavenumber components caused by delamination are extracted by broadband adaptive wavenumber filtering to reduce imaging interference and artifacts caused by irrelevant components, and the spatial wavenumber spectrum is obtained by fast broadband local wavenumber estimation algorithm to enhance the delamination imaging accuracy and spatial resolution. The experimental results indicate that, across various experimental scenarios, the proposed method achieves superior imaging precision compared to traditional wavenumber filtering or local wavenumber estimation methods, and can quantitatively identify delamination defects of various shapes and sizes.

LC-MS/MS-based quantitative method and metrological traceability technology for measuring components of animal origin in beef and lamb and their products

Establishing a quantitative detection method for adulterated meat products is crucial for ensuring food safety. However, due to the lack of metrological traceability in current quantitative methods, poor reliability and comparability always occur when measuring adulterated meat. Therefore, this study established an accurate quantitative method with metrological traceability for the quantitative analysis of pork and duck meat added to beef, lamb, and their products. We took the amino acid certified reference materials (CRMs) as the source of traceability, and traced the quantitative peptide concentrations of adulterated beef, lamb and their products to SI. Finally, the quantitative method has high accuracy and high repeatability and we utilized it to achieve accurate quantification of adulterated meat products, with an uncertainty range of 10.7 %–18.5 %, k = 2.

Novel förster resonance energy transfer (FRET)-based ratiometric fluorescent probe for detection of cyanides by nucleophilic substitution of aromatic hydrogen (SNArH)

The development of novel fluorescent probes for real-time detection of cyanides (CN−) in environmental and biological systems has become a significant focus in chemical sensing. Particularly, ratiometric fluorescence sensing offers a unique method for precise and quantitative detection of cyanides, even under complex conditions. We report herein the design of a new ratiometric fluorescent probe for cyanides based on modulation of Förster resonance energy transfer (FRET) coupled with novel cyanide-induced nucleophilic substitution of aromatic hydrogen (SNArH). The target probe (R1) is developed by introducing coumarin fluorophores as FRET donors into a 3-nitro-naphthalimide acceptor, which is easily synthesized and exhibits a colorimetric change from colorless to faint yellow and a significant ratiometric fluorescence shift (Δλ = 114 nm) upon cyanide binding. A clear ratiometric signal at I582/I468 was obtained, with a limit of detection of 5.69 μM. The sensing mechanism was confirmed through 1H NMR titration and LC-MS analysis. Additionally, R1-loaded strips were easily prepared, serving as a portable device for detecting CN− with visible color changes. The probe R1 has been successfully utilized for real-time monitoring of cyanide in food materials and water samples. Importantly, fluorescence bioimaging studies in HeLa cells were conducted, demonstrating the probe’s capability for ratiometric detection of exogenous CN− in living systems.

Fasteners quantitative detection and lightweight deployment based on improved YOLOv8.

Currently, research on on-board real-time quantitative detection of rail fasteners is few. Therefore, this paper proposes and validates an improved YOLOv8 based method for quantitative detection of rail fasteners, leveraging the capabilities of edge miniaturized artificial intelligence (AI) computing devices. First, the lightweight MobileNetV3 is employed as the backbone network for our model to increase detection speed, and the SA attention mechanism is integrated at the end of the backbone network to enhance the feature of the fasteners. Then the deformable convolution is introduced to reconstruct the bottleneck structure of the neck network, which can segment fasteners without compromising accuracy. Subsequently, the optimized network model is utilized on a Jetson AGX Xavier edge AI computing device by the TensorRT acceleration method. Segmentation results are then extracted at the pixel level for quantitative analysis of fastener breakage degree and deflection angle, so as to correct the detection results. Experimental results show that the size of the improved lightweight network volume is reduced by 28% compared to the original YOLOv8 model, and the frame rate on the edge AI computing device is lifted by 71.87%, i.e., 55 f/s. Furthermore, the model is refined based on quantitative analysis results, resulting in an mAP0.5 of 97.0%, and real-time quantitative detection of rail fasteners is realized.

Quantitative detection of circular RNA and microRNA at point-of-care using droplet digital CRISPR/Cas13a platform

Circular RNA (circRNA) and microRNA (miRNA) are both non-coding RNAs (ncRNAs) that serve as biomarkers for cancer diagnosis and prognosis. Quantitative detection of these ncRNAs is of particular importance to elucidate the functional mechanisms and evaluate their potential as biomarkers. However, the inherent structures of circRNA and miRNA are different from the mRNA, conventional qRT-PCR is unsuitable for the detection of these ncRNAs. Here, we propose a sensitive method for quantitative detection of circRNA and miRNA using polydisperse droplet digital CRISPR/Cas13a (PddCas13a). It can achieve limits of detection (LOD) as low as ∼10 aM without polymerase-based amplification. To efficiently detect the circRNA and miRNA in real samples, we use a chemically modified crRNA to enhance the stability of crRNA and improve the performance of Cas13a in complex environments containing contaminants. By integrating an extraction-free procedure with PddCas13a, we experimentally demonstrate the applicability of PddCas13a by testing clinical samples. Furthermore, we develop an automated and portable instrument for PddCas13a and verify its applicability for the detection of circRNA and miRNA from exosomes in point-of-care (POC) setting. This is the first report to detect the circRNA and miRNA simultaneously in POC setting. We envision this platform could promote the research of ncRNAs.

Fluorescence Quantitative PCR Detection of ABL1 Kinase Region Mutations

To establish a highly sensitive and quantitative detection method for ABL1 kinase region mutations, provide strong support for the early diagnosis and treatment of chronic myeloid leukemia(CML). Sampele from 35 CML patients who were initially tested negative for ABL1 kinase region mutations by Sanger sequencing were collected. The ABL1 kinase region mutation was detected by the fluorescence quantitative detection kit of Shanghai Yuanqi Biopharmaceutical Technology Co., Ltd. The mutation rate was analyzed by △△Ct value method. The relative mutation rate of the final ABL1 kinase region was determined by dividing the mutation rate by the expression level of the fusion gene. Among the 35 CML patients initially tested negative for ABL1 mutations by the Sanger sequencing method, 7 cases of T315I mutation, 2 cases of T315A mutation, 2 cases of Y253H mutation, and 1 cases of E255K mutation after detection of the new method. The relative mutation rates range from 0.1% to 19.42%, which could not be detected by Sanger sequencing method. Subsequently, this method was used to detect the ABL1 mutation in 126 CML patients, and the positive rate exceeded that of the Sanger sequencing method. The BCR-ABL1 gene expression significantly reduced or negative after adjusting treatment strategy based on the mutation situation. Compared with Sanger sequencing, fluorescence quantitative PCR has higher sensitivity and can screen for low-frequency ABL1 kinase mutations in the early stage. Moreover, it can also perform relative quantitative analysis, so the method has good clinical application prospects for detecting ABL1 mutation.

A droplet digital PCR method for the detection of scale drop disease virus in yellowfin seabream (Acanthopagrus latus).

In this study, a ddPCR method for the detection of scale drop disease virus (SDDV) in yellowfin seabream (Acanthopagrus latus) was established based on Real-time fluorescence quantitative PCR detection methods and principles. The reaction conditions were optimized, and the sensitivity, specificity, accuracy, and reproducibility were assessed. The results showed that threshold line position was determined to be 1900 by the ddPCR method; the optimum annealing temperature for SDDV detection by the ddPCR method was 60°C; the limit of detection was 1.4-1.7 copies/μL; the results of specific detection of other common viruses, except for SDDV specific amplification, were all negative; and the relative standard deviation (RSD) for the reproducibility validation was 0.77%. The samples of yellowfin seabream (Acanthopagrus latus) liver, spleen, kidney, heart, intestine, brain, blood, muscle, skin and ascites with three replicates, respectively, were tested using the ddPCR method, and the results were consistent with clinical findings. The ddPCR method established in this study has the advantages of high sensitivity, high specificity, good reproducibility and simple steps for the quantitative detection of SDDV, which could be used for the nucleic acid detection of clinical SDDV samples, and provided a new quantitative method for the diagnosis of yellowfin seabream SDDV in the early stage of pathogenesis.

Development and application of a quantitative real-time PCR method for detection of Decapod iridescent virus 1.

As a newly discovered virus, Decapoda iridovirus 1 (DIV1) can cause a mortality rate of up to 100% in crustaceans, leading to huge economic losses. At present, there is no effective prevention and control measures for this disease. In the present study, the specific primers targeting highly conserved regions of MCP gene were designed, and then a quantitative real-time PCR method was established. The results indicate that DIV1 quantitative real-time PCR established has good specificity and does not cross react with other pathogens including white spot syndrome virus (WSSV), infectious subcutaneous and hematopoietic necrosis virus (IHHNV) and Vibrio parahaemolyticus induced acute hepatopancreatic necrosis disease (VpAHPND). The real-time PCR was capable of detecting DIV1 DNA at a minimum concentration of 10 copies/μL within 34 cycles. The method has good repeatability, with intra group and inter group coefficients of variation both less than 2%. Thirty-two clinical samples were assessed using both the real-time PCR and conventional PCR. The results shown real-time PCR we established are more sensitive than conventional PCR. In conclusion, this method has strong specificity, stable repeatability, and high sensitivity, providing technical support for clinical diagnosis, epidemiology investigation and monitoring of DIV1.

Highly-Efficient Selection of Aptamers for Quantitative Fluorescence Detecting Multiple IAV Subtypes.

Influenza A virus (IAV) can cause infectious respiratory diseases in humans and animals. IAVs mutate rapidly through antigenic drift and shift, resulting in the emergence of numerous IAV subtypes and significant challenges for IAV detection. Therefore, achieving the simultaneous detection of multiple IAVs is crucial. In this work, three specific aptamers targeting the hemagglutination (HA) protein of the influenza A H5N1, H7N9, and H9N2 viruses were screened using a multichannel magnetic microfluidic chip. The aptamers exhibit nanomolar affinity and excellent specificity for the HA protein of H5N1, H7N9, and H9N2 viruses. Furthermore, three specific aptamers were truncated and labeled with different fluorescence markers to realize fluorescence quantitative detection of influenza A H5N1, H7N9, and H9N2 viruses through an aptamer sandwich assay in 1 h. The limit of detection (LOD) of the developed method is 0.38 TCID50/mL for the H5N1 virus, 0.75 TCID50/mL for the H7N9 virus, and 1.14 TCID50/mL for the H9N2 virus. The detection method has excellent specificity, strong anti-interference ability, and good reproducibility. This work provides a sensitive quantitative detection method for the H5N1, H7N9, and H9N2 viruses, enabling quantitative fluorescence detection for multiple IAV subtypes.

Development and collaborative validation of an event-specific quantitative real-time PCR method for detection of genetically modified CC-2 maize.

As one of the developed genetically modified (GM) maize varieties in China, CC-2 has demonstrated promising commercial prospects during demonstration planting. The establishment of detection methods is a technical prerequisite for effective supervision and regulation of CC-2 maize. In this study, we have developed an event-specific quantification method that targets the junction region between the exogenous gene and the 5' flanking genomic DNA (gDNA) of CC-2. The accuracy and precision of this method were evaluated across high, medium, and low levels of CC-2 maize content, revealing biases within ±25% and satisfactory precision data. Additionally, we determined the limits of quantification of the method to be 0.05% (equivalent to 20 copies) of the CC-2 maize. A collaborative trial further confirmed that our event-specific method for detecting CC-2 produces reliable, comparable, and reproducible results when applied to five different samples provided by various sources. Furthermore, we calculated the expanded uncertainty associated with determining the content level of CC-2 in these samples.

DdPCR for the Detection and Absolute Quantification of Oropouche Virus.

Oropouche virus (OROV) is a segmented RNA virus belonging to the genus Orthobunyavirus in the family Peribunyaviridae. Herein, an in-house droplet digital PCR (ddPCR) assay was used for the detection and quantification of OROV. The ddPCR reaction was assessed as duplex assay using the human housekeeping gene RPP30. Limit of detection (LoD) analysis was performed in whole blood, serum, and urine. The assay was executed on a total of 28 clinical samples (whole blood n = 9, serum n = 11, and urine n = 8), of which 16 specimens were tested positive at the routine molecular diagnostics (endpoint and real-time PCRs). The LoD of the ddPCR performed using 10-fold serial dilution of OROV detected up to 1 cp/µL in all the biological matrices. Compared to the routine molecular diagnostics, the ddPCR assay showed 100% sensitivity for whole blood and serum and 75% for urine, highlighting higher positive rate of ddPCR. We have established a quantitative RNA detection method of OROV with high sensitivity and specificity based on ddPCR. This test is capable of quantitatively monitoring the viral load of OROV and can contribute, in addition to laboratory diagnosis, to shed light on the pathogenesis, filling in the knowledge gaps of this neglected disease and to the vector control programs.

Formaldehyde contamination in seafood industry: an update on detection methods and legislations.

Seafood is abundant in high-quality protein, healthy fats (n-3 and n-6 PUFAs), minerals (calcium, magnesium, copper, selenium, and so on), and vitamin D. Functional compounds in seafood can protect against lifestyle-related diseases. Having had all the merits mentioned, it is also a highly putrefiable food item. To maintain quality and prolong seafood's shelf life, various chemicals have been added, including nitrite, sulfur dioxide, and formaldehyde. In this review, we summarize the uses, the incidence of added formalin contamination, and the approved limit for seafood products. Additionally, worldwide regulations or standards for the use of formalin in seafood products, as well as recent changes relevant to new methods, are highlighted. Although strict limits and regulations have been placed on the utilization of formaldehyde for seafood preservation, there are few incidences reported of formalin/formaldehyde detection in seafood products around Asian countries. In this context, various qualitative and quantitative detection methods for formaldehyde have been developed to ensure the presence of formaldehyde within acceptable limits. Besides this, different rules and regulations have been forced by each country to control formaldehyde incidence. Although it is not an issue of formaldehyde incidence in European countries, strict regulations are implemented and followed.

Cascade amplification-based triple probe biosensor for high-precision DNA hybridization detection of lung cancer gene

As an essential biomarker for diagnosing and treating various diseases, low-cost, quantitative detection methods for complementary DNA (cDNA) have received much attention. The surface plasmon resonance (SPR) sensing technique is an effective measurement scheme, but the ambient temperature and pH variations have a non-negligible impact. In this work, we developed a triple-probe SPR sensing system for detecting cDNA concentration, temperature, and pH. In order to satisfy the triple parameter measurements, we used a microstructured optical fiber as the sensing platform, silver and gold films as the excitation layer, and a MoS2 film as the modulation layer. First, we explore the modulation mechanism of SPR and the conditions for excitation of triple SPR and demonstrate that the carrier concentration is a crucial factor affecting the resonance wavelength. Then, the feasibility of the sensing system for triple-probing is theoretically analyzed. Finally, in the experiment, the optimal parameters of the sensor were determined, and the triple parameter detection was successfully realized. The experimental results show that the three probes can work independently, and the hybridized DNA probe can realize the selective detection of cDNA with a sensitivity of 0.249 nm/(nmol/l). The maximum sensitivity of the pH probe and the temperature probe are 51.5 nm/pH and 6.14 nm/°C. In addition, the experimental results show that the sensing probes have excellent reproducibility. This paper’s innovation is using the fiber optic SPR effect to achieve quantitative detection for cDNA, temperature detection, and pH detection. Therefore, the sensor has a promising future in early diagnosis and biosensing.

Identification of horse ingredients based on recombinase polymerase amplification, high-throughput DNA isolation and magnetic separation

Adulteration of meat products remains a significant issue worldwide. In this study, we developed a high-throughput, rapid, sensitive, and selective method for qualitative and quantitative detection of horse meat adulteration in meat products. This method, which is not only innovative but also highly practical, involves coupling a 96-well high-throughput DNA isolation process with recombinant enzyme polymerase amplification (RPA), magnetic separation (MS), and high-throughput fluorescence detection (FD). We designed a set of primers targeting the mitochondrial ATP6-8 gene of horses. The upper and lower primers were labeled with 6-FAM fluorescent moiety and biotin, respectively. Following RPA amplification, the amplicons were separated and purified using streptavidin-modified magnetic beads (MB@SA). Subsequently, the amplicons were qualified and quantified using a high-throughput fluorescence detection system. We optimized the conditions for primer addition, incubation time, and the ratio of amplicon to MB@SA. Our results showed that a fluorescence threshold of 834 indicated positive detection. The method exhibited high specificity, with no positive amplification observed in DNA from the other 11 types of meat. It demonstrated high sensitivity and was capable of detecting as little as 0.1% (wt%) of horse meat in adulterated samples. Combined with our developed 96-well high-throughput DNA extraction system, the RPA-MS-FD assay process could analyze 96 samples in 31.5 min, including 11.5 min for rapid DNA extraction, 15 min for RPA amplification, and 5 min for fluorescence detection. Finally, we successfully applied this assay to analyze 21 commercial meat products, proving its practicality and effectiveness.

Study on Fingerprint and Multiple Indicators for Quantitative Detection Method Development in Powdered Milk Thistle Extract

Introduction: Silymarins are the main active ingredient in milk thistle extract, reflecting the quality of extract products. The detection methods for silymarins in different pharmacopoeia standards may vary, which may lead to inconsistent detection results. Method: Due to the lack of research on related fingerprint spectra, its qualitative work is hard to carry out. Hence, based on existing standard methods, an HPLC method was established by optimizing the gradient program of the mobile phase. Results: The effectiveness of this method and the fingerprint was also studied. The similarity of 31 batches of samples ranged from 0.791 to 1.000, indicating the characteristic spectrum formed can be well used for qualitative analysis. Conclusion: Under optimal analytical conditions, the six silymarin compounds in the samples can achieve good baseline separation from the matrix with good resolution. At the same time, the LOD was 25 mg/kg, and the recovery rates at three levels ranged from 92% to 108%, with RSDs less than 4%. The fingerprint spectrum and content determination method established in this study had good repeatability and high accuracy, which can provide a new method for quality control of milk thistle extract.

Visual localization and quantitative detection method for thermal defects in cable terminals of high-speed trains based on a temperature derivative

Abstract Cable terminal defect detection plays an important role in ensuring the safe and stable operation of high-speed trains (HST). In this paper, a numerical model of the electromagnetic thermal field of overheating defects of cable terminal shielding grids and a method of detecting internal defects of cable terminals - even-order temperature derivative (EOTD) is proposed for quantitative detection of internal defective structures of vehicle-mounted cable terminals. Firstly, a numerical model of the electromagnetic thermal field of cable terminals under the condition of leakage current is constructed, through which the temperature field distribution characteristics of different defective structures are analyzed. Then, the intuitive location of the defective region is obtained by investigating the derivative characteristics of the temperature image, and the depth and intensity of the defects are quantitatively assessed by using the main side peak (MSP) distances and the MSP values extracted from the derivative curves. Finally, the simulation and experimental results achieve the identification of defect structures and the quantitative detection of defect depth and intensity, proving the effectiveness and accuracy of the proposed method.

Hepatic Biotransformation of Renal Clearable Gold Nanoparticles for Noninvasive Detection of Liver Glutathione Level via Urinalysis

AbstractRenal clearable nanoparticles have been drawing much attention as they can avoid prolonged accumulation in the body by efficiently clearing through the kidneys. While much effort has been made to understand their interactions within the kidneys, it remains unclear whether their transport could be influenced by other organs, such as the liver, which plays a crucial role in metabolizing and eliminating both endogenous and exogenous substances through various biotransformation processes. Here, by utilizing renal clearable IRDye800CW conjugated gold nanocluster (800CW4‐GS18‐Au25) as a model, we found that although 800CW4‐GS18‐Au25 strongly resisted serum‐protein binding and exhibited minimal accumulation in the liver, its surface was still gradually modified by hepatic glutathione‐mediated biotransformation when passing through the liver, resulting in the dissociation of IRDye800CW from Au25 and biotransformation‐generated fingerprint message of 800CW4‐GS18‐Au25 in urine, which allowed us to facilely quantify its urinary biotransformation index (UBI) via urine chromatography analysis. Moreover, we observed the linear correlation between UBI and hepatic glutathione concentration, offering us a noninvasive method for quantitative detection of liver glutathione level through a simple urine test. Our discoveries would broaden the fundamental understanding of in vivo transport of nanoparticles and advance the development of urinary probes for noninvasive biodetection.