Granulomatous mastitis and pectoralis major muscle defect following polyacrylamide hydrogel injection: a case report and literature review.

Background: Breast augmentation through the injection of polyacrylamide hydrogel (PAAG) was a popular procedure in the past, but it has since been prohibited due to various complications, including masses, migration, infection, inflammation, and even cancer. However, there were rare cases of granulomatous mastitis with pectoralis major muscle defect following PAAG injection for breast augmentation. Case Description: A 40-year-old female patient presented with a swollen and suppurative mass in her left breast and was insensitive to antibiotics. She was admitted to our department for further treatment after 7 months with progressive local and general symptoms. Ultrasound imaging showed ill-defined heterogeneous echoes, and contrast-enhanced magnetic resonance imaging (MRI) revealed non-mass enhancement lesions in the multiregional distribution in Breast Imaging-Reporting and Data System 4A (BI-RADS 4A) with oedema in the retroglandular space and multiple enlarged lymph nodes in the ipsilateral axilla. Intraoperative observations revealed necrotic tissues, multiple abscesses, residual mucoid PAAG prosthesis diffused into the mammary glands and intramuscularly into the pectoralis muscle, and partial loss of pectoralis major muscle. Histopathological results revealed foreign-body granulomas accompanied by gel-like granular PAAG and proliferative inflammatory cells. She recovered after undergoing the characteristic surgical management in our center under general anesthesia and had no recurrence during the 2-year follow-up. Conclusions: This case revealed that PAAG injection for augmentation mammaplasty, even after the removal operation, could result in subsequent complications, including granulomatous mastitis and pectoralis major muscle damage. PAAG filler complications are difficult to treat, therefore, it is essential to establish appropriate and effective therapeutic procedures.

Prediction models for postoperative recurrence of non-lactating mastitis based on machine learning.

OBJECTIVES: This study aims to build a machine learning (ML) model to predict the recurrence probability for postoperative non-lactating mastitis (NLM) by Random Forest (RF) and XGBoost algorithms. It can provide the ability to identify the risk of NLM recurrence and guidance in clinical treatment plan. METHODS: This study was conducted on inpatients who were admitted to the Mammary Department of Shuguang Hospital affiliated to Shanghai University of Traditional Chinese Medicine between July 2019 to December 2021. Inpatient data follow-up has been completed until December 2022. Ten features were selected in this study to build the ML model: age, body mass index (BMI), number of abortions, presence of inverted nipples, extent of breast mass, white blood cell count (WBC), neutrophil to lymphocyte ratio (NLR), albumin-globulin ratio (AGR) and triglyceride (TG) and presence of intraoperative discharge. We used two ML approaches (RF and XGBoost) to build models and predict the NLM recurrence risk of female patients. Totally 258 patients were randomly divided into a training set and a test set according to a 75%-25% proportion. The model performance was evaluated based on Accuracy, Precision, Recall, F1-score and AUC. The Shapley Additive Explanations (SHAP) method was used to interpret the model. RESULTS: There were 48 (18.6%) NLM patients who experienced recurrence during the follow-up period. Ten features were selected in this study to build the ML model. For the RF model, BMI is the most important influence factor and for the XGBoost model is intraoperative discharge. The results of tenfold cross-validation suggest that both the RF model and the XGBoost model have good predictive performance, but the XGBoost model has a better performance than the RF model in our study. The trends of SHAP values of all features in our models are consistent with the trends of these features' clinical presentation. The inclusion of these ten features in the model is necessary to build practical prediction models for recurrence. CONCLUSIONS: The results of tenfold cross-validation and SHAP values suggest that the models have predictive ability. The trend of SHAP value provides auxiliary validation in our models and makes it have more clinical significance.

Staged operation in the surgical treatment of granulomatous lobular mastitis.

Background: Granulomatous lobular mastitis (GLM) is a chronic inflammatory breast condition characterized by an unclear etiology and an undefined therapeutic approach. Surgical intervention is considered an alternative modality for managing GLM. Staged operation is the predominant and characteristic surgical approach in the treatment of GLM in our center; therefore, we evaluated the efficacy of staged operative techniques in this cohort study. Methods: We retrospectively reviewed 212 patients with GLM who underwent staged operation between August 2020 and July 2022 in the inpatient department of our institute. Their clinical history information, clinic complaints, treatment details, surgical outcomes, follow-up results, and scores on the satisfaction questionnaire were analyzed. The patients were called for follow-up and consultation with a deadline of August 2023. Results: The median follow-up time was 27 months (range, 14-37 months). In total, 212 patients were treated with three different staged procedures according to the individual assessment and patient willingness, including 168 patients who underwent one-stage debridement operation and two-stage suture operation (DO + SO), 25 patients who underwent one-stage debridement operation without suture (DO), and 19 patients who underwent one-stage debridement and simultaneous suture operation (DSO). The median recovery time was 29 days (range, 14-60 days). A minority of patients developed postoperative complications, including effusion (1.89%), flap ischemia (0.94%), areola-nipple ischemia (0.94%) and sinus tract formation (2.36%). The scores of the satisfaction questionnaire were 43.10±3.09, and 186 patients (87.74%) gave high scores for postoperative breast appearance. Only 5 of 212 patients (2.36%) developed recurrence. Conclusions: Staged operation performed in our institute is an effective and safe surgical therapy in patients with GLM, yielding a short recovery time, low recurrence and good cosmetic results.

Construction of a Multi-Indicator Model for Abscess Prediction in Granulomatous Lobular Mastitis Using Inflammatory Indicators.

Background: Granulomatous lobular mastitis (GLM) is a chronic inflammatory breast disease, and abscess formation is a common complication of GLM. The process of abscess formation is accompanied by changes in multiple inflammatory markers. The present study aimed to construct a diagnosis model for the early of GLM abscess formation based on multiple inflammatory parameters. Methods: Based on the presence or absence of abscess formation on breast magnetic resonance imaging (MRI), 126 patients with GLM were categorised into an abscess group (85 patients) and a non-abscess group (41 patients). Demographic characteristics and the related laboratory results for the 9 inflammatory markers were collected. Logistics univariate analysis and collinearity test were used for selecting independent variables. A regression model to predict abscess formation was constructed using Logistics multivariate analysis. Results: The univariate and multivariate analysis showed that the N, ESR, IL-4, IL-10 and INF-α were independent diagnostic factors of abscess formation in GLM (P<0. 05). The nomogram was drawn on the basis of the logistics regression model. The area under the curve (AUC) of the model was 0.890, which was significantly better than that of a single indicator and the sensitivity and specificity of the model were high (81.2% and 85.40%, respectively). These results predicted by the model were highly consistent with the actual diagnostic results. The results of this calibration curve indicated that the model had a good value and stability in predicting abscess formation in GLM. The decision curve analysis (DCA) demonstrated a satisfactory positive net benefit of the model. Conclusion: A predictive model for abscess formation in GLM based on inflammatory markers was constructed in our study, which may provide a new strategy for early diagnosis and treatment of the abscess stage of GLM.

Adolescent Non-Puerperal Mastitis: Risk Factors, Clinical Characteristics, and Prognosis Analysis.

Purpose: To determine the risk factors, clinical characteristics, and prognosis of adolescent non-puerperal mastitis patients. Patients and methods: A retrospective analysis was conducted on 10 cases of NPM in adolescents who underwent surgical treatment at Shuguang Hospital affiliated to Shanghai University of Traditional Chinese Medicine from August 2021 to August 2023. We analyze the patient's general information, clinical characteristics, related medical history, laboratory indicators, breast magnetic resonance imaging examination, postoperative pathology, prognosis, etc. Results: The clinical manifestations of NPM in adolescents mainly included redness, swelling and pain in the breasts, congenital nipple retraction, and extensive lesion range. Inflammatory markers and prolactin were elevated. Magnetic resonance imaging showed circular enhancement with abscess formation as the main type. All patients underwent surgical treatment with a fast recovery time after surgery. No recurrence was observed during follow-up and the postoperative breast appearance was satisfactory. Multivariate Logistic regression analysis indicated that congenital nipple retraction, elevated prolactin levels and trauma were independent risk factors for adolescents non-puerperal mastitis. Conclusion: Adolescent non-puerperal mastitis is a rare and unique type. Summarizing its main risk factors, clinical characteristics, and prognosis provides a basis for further research.

LC/MS-based untargeted lipidomics reveals lipid signatures of nonpuerperal mastitis.

BACKGROUND: Nonpuerperal mastitis (NPM) is a disease that presents with redness, swelling, heat, and pain during nonlactation and can often be confused with breast cancer. The etiology of NPM remains elusive; however, emerging clinical evidence suggests a potential involvement of lipid metabolism. METHOD: Liquid chromatography‒mass spectrometry (LC/MS)-based untargeted lipidomics analysis combined with multivariate statistics was performed to investigate the NPM lipid change in breast tissue. Twenty patients with NPM and 10 controls were enrolled in this study. RESULTS: The results revealed significant differences in lipidomics profiles, and a total of 16 subclasses with 14,012 different lipids were identified in positive and negative ion modes. Among these lipids, triglycerides (TGs), phosphatidylethanolamines (PEs) and cardiolipins (CLs) were the top three lipid components between the NPM and control groups. Subsequently, a total of 35 lipids were subjected to screening as potential biomarkers, and the chosen lipid biomarkers exhibited enhanced discriminatory capability between the two groups. Furthermore, pathway analysis elucidated that the aforementioned alterations in lipids were primarily associated with the arachidonic acid metabolic pathway. The correlation between distinct lipid populations and clinical phenotypes was assessed through weighted gene coexpression network analysis (WGCNA). CONCLUSIONS: This study demonstrates that untargeted lipidomics assays conducted on breast tissue samples from patients with NPM exhibit noteworthy alterations in lipidomes. The findings of this study highlight the substantial involvement of arachidonic acid metabolism in lipid metabolism within the context of NPM. Consequently, this study offers valuable insights that can contribute to a more comprehensive comprehension of NPM in subsequent investigations. TRIAL REGISTRATION: Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine (Number: 2019-702-57; Date: July 2019).

Nanoprecipitated CoPi enhanced photoelectrochemical water oxidation toward sensitive and selective Co2+ detection.

The detection of heavy metal ions Co2+ is of great significance to the environment and human health. Herein, a simple, highly selective and sensitive photoelectrochemical detection strategy for Co2+ was developed based on the enhanced activity by nanoprecipitated CoPi on the Au nanoparticle decorated BiVO4 electrode. The new photoelectrochemical sensor has a low detection limit of 0.03 µΜ and wide detection range of 0.1-10, and 10-6000 µΜ, with a high selectivity over other metal ions. The Co2+ concentration in tap water and commercial drinking water has also been successfully determined with the proposed method. Scanning electrochemical microscopy technique was employed to characterize the photocatalytic performance and heterogenous electron transfer rate of electrodes in situ, further revealing the photoelectrochemical sensing mechanism. Besides determining Co2+ concentration, this approach of enhanced catalytic activity by nanoprecipitation can be further extended to develop a variety of electrochemical, photoelectrochemical and optical sensing platforms for many other hazardous ions and biological molecules.

Injectable hydroethanolic physical gels based on Codonopsis pilosula polysaccharide for sustained anticancer drug delivery.

The development of biocompatible carriers based on hydroethanolic physical gels for effectively encapsulating and delivering hydrophobic drug molecules is of particular interest. In this paper, we reported a novel hydroethanolic physical gel based on Codonopsis pilosula polysaccharide (CPP) prepared from the roots of C. pilosula. The gelation behaviors of the graded CPP fractions in a water-ethanol solvent system were evaluated, and the physicochemical and mechanical properties of the CPP-based gel (CPP-G) were characterized. The results indicated that CPP-G had consisted of a random physically crosslinked network formed by hydrophobic association of CPP chains and exhibited good mechanical strength, higher shear-thinning sensitivity and rapid, highly efficient self-recovering characteristics, ensuring superior performance in constructing injectable and self-recovering drug-loaded gels. Hydrophobic paclitaxel (PTX) and hydrophilic doxorubicin (DOX) were used as representative drugs to investigate the encapsulation and in vitro release behaviors of CPP-G, which exhibited long-term sustained release properties. Additionally, the evaluation of drug activity in drug-loaded gels further revealed the synergistic effect of CPP-G with the selected drugs on tumor inhibition against 4T1 and MCF-7 breast cancer cell lines. This work evaluated the feasibility of using the natural polysaccharide CPP to construct hydroethanolic physical gels and the applicability of the injectable drug-loaded gels for hydrophobic drug delivery.

Small extracellular vesicles: from promoting pre-metastatic niche formation to therapeutic strategies in breast cancer.

Breast cancer is the most common cancer in females, and to date, the mortality rate of breast cancer metastasis cannot be ignored. The metastasis of breast cancer is a complex, staged process, and the pattern of metastatic spread is not random. The pre-metastatic niche, as an organ-specific home for metastasis, is a favourable environment for tumour cell colonization. As detection techniques improve, the role of the pre-metastatic niche in breast cancer metastasis is being uncovered. sEVs (small extracellular vesicles) can deliver cargo, which is vital for the formation of pre-metastatic niches. sEVs participate in multiple aspects of creating a distant microenvironment to promote tumour invasion, including the secretion of inflammatory molecules, immunosuppression, angiogenesis and enhancement of vascular permeability, as well as regulation of the stromal environment. Here, we discuss the multifaceted mechanisms through which breast cancer-derived sEVs contribute to pre-metastatic niches. In addition, sEVs as biomarkers and antimetastatic therapies are also discussed, particularly their use in transporting exosomal microRNAs. The study of sEVs may provide insight into immunotherapy and targeted therapies for breast cancer, and we also provide an overview of their potential role in antitumour metastasis. Video Abstract.

Diabetic mastopathy in an elderly woman misdiagnosed as breast cancer: A case report and review of the literature.

BACKGROUND: Diabetic mastopathy is a rare benign disease in clinical practice that mainly occurs in young and middle-aged women with type 1 diabetes. It has also been reported that this disease can be found in patients with type 2 diabetes and other autoimmune diseases, such as Hashimoto's thyroiditis, as well as in men. The pathogenesis of diabetic mastopathy is not yet clear, and it is easily confused with breast cancer due to their similar clinical manifestations and imaging features. CASE SUMMARY: A 69-year-old female patient was admitted because of painless breast masses, with a history of type 2 diabetes. The imaging and physical examination suggested a high risk of breast cancer. Further histopathological analysis showed dense lymphocytes infiltrating around the lobules of the breast, and extensive fibrosis of the surrounding stroma. Finally, diabetic mastopathy was diagnosed. CONCLUSION: The diagnosis of diabetic mastopathy in elderly patients with painless breast masses is difficult to distinguish from breast cancer, and its imaging manifestations are not specific.

Ultrasensitive determination of nitrite based on electrochemical platform of AuNPs deposited on PDDA-modified MXene nanosheets.

An ultrasensitive and high-performance electrochemical nitrite sensing platform based on gold nanoparticles deposited on poly (dimethyl diallyl ammonium chloride)-decorated MXene (Ti3C2Tx) (AuNPs/Ti3C2Tx-PDDA) was constructed. AuNPs/Ti3C2Tx-PDDA on the surface of electrode displayed synergetic catalytic effect for oxidizing NO2‾ originating from especially catalytic activity of AuNPs, large area and excellent conductivity of Ti3C2Tx, as well as electrostatic interaction of PDDA. The amperometry technique was employed for quantitative determination of nitrite, in which the AuNPs/Ti3C2Tx-PDDA/GCE sensing platform showed outstanding linear relationship in 0.1-2490 µM and 2490-13490 µM for nitrite, meanwhile the detection limit of 0.059 µM. Besides, the prepared sensor possessed high sensitivity of 250 µA mM-1 cm-2 yet excellent selectivity, stability and reproducibility. Furthermore, this platform also exhibited satisfactory feasibility of nitrite sensing in running water and ham sausage sample. This work would broaden a facile approach to construct high sensitivity electrochemical sensing platform via two-dimension materials and its nanocomposites.

An HBT-based fluorescent dye with enhanced quantum yield in water system and its application for constructing NQO1 fluorescent probe.

A novel HBT-based fluorescent dye HBTM, which exhibited long wavelength emission (~600 nm) and large Stokes shift (~203 nm) due to the intrinsic mechanism of ESIPT coupled ICT process, was reasonably designed and synthesized by conjugating neutral pyrimidine moiety as the electron acceptor to 2-(benzo[d]thiazol-2-yl)-4-methylphenol scaffold. Fluorescence emission of HBTM showed less significant spectral dependency on solvents nature, delivering excellent anti-hypochromatic properties, and notably enhanced quantum yield (Φ = 25.5%) in water system was obtained. Furthermore, a "Turn-On" fluorescent probe HBTMP was developed for the detection of NQO1 by masking the hydroxyl group of HBTM with quinone propionic acid (QPA) as the sensing group. Probe HBTMP displayed a highly sensitive and selective response to NQO1 with a linear relationship in the range of 60-180 ng/mL and low detection limit of 1.6 ng/mL, and was successfully applied in detecting endogenous NQO1 in living cancer cells.

Incorporation of Lutein on Layered Double Hydroxide for Improving the Environmental Stability.

To overcome the poor stability of natural lutein to environmental factors, layered double hydroxide was incorporated by a green mechanical grinding process. The influences of external factors (chemical reagents, heating and light) on the stability of lutein before and after being loaded were evaluated. The results confirmed that lutein was mainly adsorbed on the surface of layered double hydroxide (LDH) via the chemical interaction. Compared with pure lutein, the thermal decomposition of lutein/LDH was improved from 100 °C to 300 °C, and the retention ratio of lutein was increased by about 8.64% and 21.47% after 96 h of light exposure and accelerated degradation, respectively. It is expected that the stable lutein/LDH composites may constitutean additive in animal feed.

A mitochondria-targeting nitroreductase fluorescent probe with large Stokes shift and long-wavelength emission for imaging hypoxic status in tumor cells.

Development of a mitochondria-targeting fluorescent probe with large Stokes shift and long-wavelength emission was benefit for accurate detection of hypoxic status, which was known as a major factor of the tumor physiology and influence important pathological processes. However, an efficient optical approach for simultaneously achieving such merits was still lacking. In this work, a turn-on fluorescence probe (HBT-NP) was designed to assess the hypoxic condition of tumor cells by detecting nitroreductase (NTR). Probe HBT-NP was constructed by conjugating 4-nitrobenzyl moiety as reaction site for NTR to 2-(benzo[d]thiazol-2-yl)-4-methylphenol derived fluorescent dye HBT-Py which demonstrated large Stokes shift (Δλ = 243 nm) and long wavelength emission (λem = 640 nm) due to intrinsic mechanism of ESIPT together with ICT process. Upon incubated with NTR, HBT-NP could successively undergo nitro reduction reaction and then release HBT-Py. The reaction mechanism was further confirmed by mass spectra and HPLC analysis, and the docking calculation also indicated that the binding mode and docking affinity of probe HBT-NP with NTR play an important role in catalytic reduction reaction process. As a result, HBT-NP displayed a wide linear range (0.1-1.5 µg/mL) and low detection limit (2.8 ng/mL) response to NTR, and could be used to evaluate hypoxic condition of cancer cells with precise mitochondria-targeting.

Effect of seedling grade standard on improving the quality of licorice (Glycyrrhiza uralensis F.): changes in the seven bioactive components and root biomass during two-year growth.

Licorice cultivated is one of the most popular herbal medicines, while its quality is unstable. The aim of present study is to investigate the effect of licorice seedling grade standard on improving its quality. One-year-old Glycyrrhiza uralensis seedlings were classified into three grades 1, 2, and 3 by weight per plant. The major root biomass indexes (root fresh weight, root dry weight and taproot diameter) and contents of 7 bioactive components (glycyrrhizin, liquiritin, liquiritin apioside, liquiritigenin, isoliquiritin, isoliquiritin apioside, and isoliquiritigenin) varied in different grades seedlings. Further, the contents of 7 investigated compounds of 3-year-old licorice produced by grade 1 seedlings were 1.5-2 times as much as those produced by grade 2 and 3. Additionally, the contents of liquiritin apioside and isoliquiritin apioside were positively correlated with licorice root biomass. These results indicated that establishing licorice seedling grade standard is an effective way to improve and control its quality.

Chromogenic, Fluorescent, and Redox Sensors for Multichannel Imaging and Detection of Hydrogen Peroxide in Living Cell Systems.

Hydrogen peroxide (H2O2) is an important reactive oxygen species (ROS). Maintaining the H2O2 concentration at a normal level is critical to achieve the normal physiological activities of cells, which otherwise might trigger various diseases. Therefore, it is necessary to develop new and practical multisignaling sensors for both visualization of intracellular H2O2 and accurate detection of extracellular H2O2. In this paper, a novel multichannel signaling fluorescence-electrochemistry combined probe 1 (FE-H2O2) is presented for imaging and detection of H2O2 in living cell systems. In our design, the probe FE-H2O2 consists of a H2O2 reaction site and 4-ferrocenyl(vinyl)pyridine unit which affords chromogenic, fluorescent, and electrochemical signals. These structural motifs yield a combined chromogenic, fluorescent, and redox sensor in a single molecule. Probe FE-H2O2 showed a "Turn-On" fluorescence response to H2O2, which can be used for monitoring intracellular H2O2 in vivo. Furthermore, the electrochemical response of probe FE-H2O2 was decreased after the addition of H2O2, which can be applied for accurate detection of H2O2 released from living cells. When the fluorescence imaging method is combined with electrochemical analysis technology, it is hopeful that the well-designed multimodule probe can serve as a practical tool for understanding the metabolism and homeostasis of H2O2 in a complex biological system.

Fabrication of RGO-NiCo2O4 nanorods composite from deep eutectic solvents for nonenzymatic amperometric sensing of glucose.

A novel reduced graphene oxide supported nickel cobaltate nanorods composite (RGO-NiCo2O4) was prepared by a simple ionothermal method in deep eutectic solvents for the first time. Electrochemical results demonstrated that the obtained nanocomposite modified glassy carbon electrode exhibited excellent electrocatalytic performance towards the oxidation of glucose with a wide double-linear range from 1 µM to 25 mM and a low detection limit of 0.35 µM (S/N = 3). NiCo2O4 nanorods with many small interconnected nanoparticles provided many electrocatalytic active sites, while RGO with large surface area offered good electrical conductivity. The synergistic effect between NiCo2O4 nanorods and RGO contributed to the enhanced sensing ability of the hybrid nanostructure. This sensitive glucose sensor can be also used for the practical detection of glucose in human serum.

Dual-functional fluorescent probe responds to hypochlorous acid and SO2 derivatives with different fluorescence signals.

In view of the important roles of reactive oxygen species (ROS) and reactive sulfur species (RSS) in the complex signal transduction and oxidation pathways, fluorescent probes that are able to display distinct signals to hypochlorous acid and SO2 derivatives are highly valuable. Herein, a novel dual-functional probe (DFP) as an efficient single fluorescent-molecule which can respond to HClO and HSO3- with two different sets of fluorescence signals was presented. The DFP displayed desired properties such as high specificity, suitable sensitivity, appreciable water solubility and stability. The sensing mechanism was confirmed by high-resolution mass spectroscopy analysis and 1H NMR spectrometry analysis. Moreover, as a biocompatible molecule, the DFP has been successfully applied for the detection of HClO in living cells with a dual-channel mode. Therefore, the present work established a novel strategy for monitoring the multiple ROS and RSS species using a single fluorescent probe and the DFP is promising as a molecular tool to investigate the production and dynamics of HClO and HSO3- in the complex interaction networks of the living system.

Preparation of a graphene oxide/silica composite modified with nitro-substituted tris(indolyl)methane as a solid-phase extraction sorbent for the extraction of organic acids.

This paper describes the use of graphene oxide/silica modified with nitro-substituted tris(indolyl)methane as a solid-phase extraction sorbent for the determination of organic acids. The resultant graphene oxide/silica modified with nitro-substituted tris(indolyl)methane was characterized by FTIR spectroscopy and adsorption experiments. Solid-phase extraction parameters such as sorbent type, sample solution pH, sample loading rate, eluent salt concentration, eluent methanol concentration, elution rate, sample loading, and elution volume were optimized. The method showed good precision, accuracy, sensitivity, and linear response for organic acids analysis over a concentration range of 1-100 µg/L for benzoic acid, p-methoxybenzoic acid, and salicylic acid and 5-100 µg/L for the remaining organic acids (cinnamic acid, p-chlorobenzoic acid, and p-bromobenzoic acid) with coefficients of determination (r(2) ) of higher than 0.9957. Limits of detection from 0.50 to 1.0 µg/L for six organic acids were achieved. The developed method was successfully applied to determine organic acids in real samples.

Preparation of a nitro-substituted tris(indolyl)methane modified silica in deep eutectic solvents for solid-phase extraction of organic acids.

A new sorbent for solid-phase extraction was synthesized by chemical immobilization of nitro-substituted tris(indolyl)methane on silica in new and green deep eutectic solvents. Elemental analysis results indicated that deep eutectic solvents could be an alternative to the traditional solvents in preparing nitro-substituted tris(indolyl)methane modified silica. Coupled with high performance liquid chromatography, the extraction performance of the sorbent was evaluated by using four organic acids as model analytes. The rebinding experiments results showed that the nitro-substituted tris(indolyl)methane modified silica sorbent had a good adsorption capacity towards the selected organic acids. Under the appropriate experimental conditions, good precision and wide linear ranges with coefficient of determination (R(2)) of higher than 0.9957 were obtained, and the limits of detection were in the range of 0.50-2.0µgL(-1) for the organic acids tested. The developed solid-phase extraction-high performance liquid chromatography-diode array detection (SPE-HPLC-DAD) method was successfully applied for the determination of organic acids in two drinking samples with recoveries ranging from 76.7% to 110.0% and 67.7% to 104.0% for all the selected organic acids, respectively.