Multiplexed Antibody Glycosylation Profiling Using Dual Enzyme Digestion and Liquid Chromatography-Triple Quadrupole Mass Spectrometry Method.

Antibody glycosylation plays a crucial role in the humoral immune response by regulating effector functions and influencing the binding affinity to immune cell receptors. Previous studies have focused mainly on the immunoglobulin G (IgG) isotype owing to the analytical challenges associated with other isotypes. Thus, the development of a sensitive and accurate analytical platform is necessary to characterize antibody glycosylation across multiple isotypes. In this study, we have developed an analytical workflow using antibody-light-chain affinity beads to purify IgG, IgA, and IgM from 16 µL of human plasma. Dual enzymes, trypsin and Glu-C, were used during on-bead digestion to obtain enzymatic glycopeptides and protein-specific surrogate peptides. Ultra-high-performance liquid chromatography coupled with triple quadrupole mass spectrometry was used in order to determine the sensitivity and specificity. Our platform targets 95 glycopeptides across the IgG, IgA, and IgM isotypes, as well as eight surrogate peptides representing total IgG, four IgG classes, two IgA classes, and IgM. Four stable isotope-labeled internal standards were added after antibody purification to calibrate the preparation and instrumental bias during analysis. Calibration curves constructed using serially diluted plasma samples showed good curve fitting (R2 > 0.959). The intrabatch and interbatch precision for all the targets had relative standard deviation of less than 29.6%. This method was applied to 19 human plasma samples, and the glycosylation percentages were calculated, which were comparable to those reported in the literature. The developed method is sensitive and accurate for Ig glycosylation profiling. It can be used in clinical investigations, particularly for detailed humoral immune profiling.

Galectin-3 contributes to pathogenesis of IgA nephropathy.

IgA nephropathy (IgAN) is the most common type of glomerulonephritis that frequently progresses to kidney failure. However, the molecular pathogenesis underlying IgAN remains largely unknown. Here, we investigated the role of galectin-3 (Gal-3), a galactoside-binding protein in IgAN pathogenesis, and showed that Gal-3 expression by the kidney was significantly enhanced in patients with IgAN. In both TEPC-15 hybridoma-derived IgA-induced, passive, and spontaneous "grouped" ddY IgAN models, Gal-3 expression was clearly increased with disease severity in the glomeruli, peri-glomerular regions, and some kidney tubules. Gal-3 knockout (KO) in the passive IgAN model had significantly improved proteinuria, kidney function and reduced severity of kidney pathology, including neutrophil infiltration and decreased differentiation of Th17 cells from kidney-draining lymph nodes, despite increased percentages of regulatory T cells. Gal-3 KO also inhibited the NLRP3 inflammasome, yet it enhanced autophagy and improved kidney inflammation and fibrosis. Moreover, administration of 6-de-O-sulfated, N-acetylated low-molecular-weight heparin, a competitive Gal-3 binding inhibitor, restored kidney function and improved kidney lesions in passive IgAN mice. Thus, our results suggest that Gal-3 is critically involved in IgAN pathogenesis by activating the NLRP3 inflammasome and promoting Th17 cell differentiation. Hence, targeting Gal-3 action may represent a new therapeutic strategy for treatment of this kidney disease.

Macrophage-Specific, Mafb-Deficient Mice Showed Delayed Skin Wound Healing.

Macrophages play essential roles throughout the wound repair process. Nevertheless, mechanisms regulating the process are poorly understood. MAFB is specifically expressed in the macrophages in hematopoietic tissue and is vital to homeostatic function. Comparison of the skin wound repair rates in macrophage-specific, MAFB-deficient mice (Mafbf/f::LysM-Cre) and control mice (Mafbf/f) showed that wound healing was significantly delayed in the former. For wounded GFP knock-in mice with GFP inserts in the Mafb locus, flow cytometry revealed that their GFP-positive cells expressed macrophage markers. Thus, macrophages express Mafb at wound sites. Immunohistochemical (IHC) staining, proteome analysis, and RT-qPCR of the wound tissue showed relative downregulation of Arg1, Ccl12, and Ccl2 in Mafbf/f::LysM-Cre mice. The aforementioned genes were also downregulated in the bone marrow-derived, M2-type macrophages of Mafbf/f::LysM-Cre mice. Published single-cell RNA-Seq analyses showed that Arg1, Ccl2, Ccl12, and Il-10 were expressed in distinct populations of MAFB-expressing cells. Hence, the MAFB-expressing macrophage population is heterogeneous. MAFB plays the vital role of regulating multiple genes implicated in wound healing, which suggests that MAFB is a potential therapeutic target in wound healing.

Affinity Purification Coupled to Stable Isotope Dilution LC-MS/MS Analysis to Discover IgG4 Glycosylation Profiles for Autoimmune Pancreatitis.

Type 1 autoimmune pancreatitis (AIP) is categorized as an IgG4-related disease (IgG4-RD), where a high concentration of plasma IgG4 is one of the common biomarkers among patients. IgG Fc-glycosylation has been reported to be potential biosignatures for diseases. However, human IgG3 and IgG4 Fc-glycopeptides from populations in Asia were found to be isobaric ions when using LC-MS/MS as an analytical tool. In this study, an analytical workflow that coupled affinity purification and stable isotope dilution LC-MS/MS was developed to dissect IgG4 glycosylation profiles for autoimmune pancreatitis. Comparing the IgG4 and glycosylation profiles among healthy controls, patients with pancreatic ductal adenocarcinoma (PDAC), and AIP, the IgG4 glycosylations from the AIP group were found to have more digalactosylation (compared to PDAC) and less monogalactosylation (compared to HC). In addition, higher fucosylation and sialylation profiles were also discovered for the AIP group. The workflow is efficient and selective for IgG4 glycopeptides, and can be used for clinical biosignature discovery.

A predictive model for identifying low medication adherence among older adults with hypertension: A classification and regression tree model.

Various individual characteristics may affect medication adherence; however, few studies have investigated the effect of interrelationships among these various individual characteristics on medication adherence. This cross-sectional study explored the interrelationships among risk factors for medication adherence and established a predictive model of low medication adherence among older adults with hypertension. Convenience sampling was used to recruit 300 older adults with hypertension. The following parameters were recorded: demographic and disease characteristics, health beliefs, self-efficacy, social support, and medication adherence of antihypertensive drugs. Classification and regression tree (CART) analysis was performed to develop a predictive model of low medication adherence. The CART model revealed that health belief, disease duration, self-efficacy, and social support interacted to contribute to various pathways of low medication adherence. The predicted accuracy of the model was validated with a low misclassification rate of 26%. The proposed classification model can help identify risk cases with low medication adherence. Suitable health education programs based on these risk factors to manage and improve medication adherence for older adults with hypertension could be considered.

Elevation of CD109 promotes metastasis and drug resistance in lung cancer via activation of EGFR-AKT-mTOR signaling.

Lung cancer is the most commonly diagnosed cancer worldwide, and metastasis in lung cancer is the leading cause of cancer-related deaths. Thus, understanding the mechanism of lung cancer metastasis will improve the diagnosis and treatment of lung cancer patients. Herein, we found that expression of cluster of differentiation 109 (CD109) was correlated with the invasive and metastatic capacities of lung adenocarcinoma cells. CD109 is upregulated in tumorous tissues, and CD109 overexpression was associated with tumor progression, distant metastasis, and a poor prognosis in patient with lung adenocarcinoma. Mechanistically, expression of CD109 regulates protein kinase B (AKT)/mammalian target of rapamycin (mTOR) signaling via its association with the epidermal growth factor receptor (EGFR). Inhibition of CD109 decreases EGFR phosphorylation, diminishes EGF-elicited activation of AKT/mTOR, and sensitizes tumor cells to an EGFR inhibitor. Taken together, our results show that CD109 is a potential diagnostic and therapeutic target in lung cancer patients.

Using the PCI-IS Method to Simultaneously Estimate Blood Volume and Quantify Nonvitamin K Antagonist Oral Anticoagulant Concentrations in Dried Blood Spots.

Nonvitamin K antagonist oral anticoagulants (NOACs) have emerged as the preferred choice for the treatment of atrial fibrillation (AF). The establishment of a therapeutic range to minimize bleeding and thrombosis is important for personalized treatment of NOACs. The importance of dried blood spots (DBSs) has increased in medical care. An efficient and effective DBS analytical method could facilitate the concentration management of NOACs. The postcolumn infused internal standard (PCI-IS) method was applied to estimate spot volume and quantify dabigatran, rivaroxaban, and apixaban concentrations on DBS cards. The extraction solvent contented 0.1% formic acid and 70% ACN with a successive extraction procedure. Paired DBS and plasma samples from patients undergoing NOAC therapy (n = 269) were used to calculate conversion factors. [13C6]-Rivaroxaban was selected as the PCI-IS. The quantification accuracy for the three NOACs was within 88.9-104.3%. The RSDs of the repeatability and intermediate precision were below 10%. The obtained conversion factors of DBS to plasma concentrations of dabigatran, apixaban, and rivaroxaban were 1.81, 1.59, and 1.31, respectively. Bland-Altman analysis showed that the % differences between predicted and measured plasma concentrations were within a bias of ±20%. The result showed that PCI-IS was an accurate and efficient LC-MS/MS method to simultaneously estimate blood volume and NOAC concentrations on DBS cards. The stability results revealed that the DBS sampling strategy could improve compound stability. The developed method offers a new strategy for the therapeutic drug monitoring of NOACs and may improve the safe use of these drugs.

Quantitative determination of human IgA subclasses and their Fc-glycosylation patterns in plasma by using a peptide analogue internal standard and ultra-high-performance liquid chromatography/triple quadrupole mass spectrometry.

RATIONALE: Glycosylation on immunoglobulins is important for the immune function. In this study, we developed and validated a method for the absolute quantification of IgA subclasses and relative quantification of IgA-Fc glycopeptides by using affinity purification and ultrahigh-performance liquid chromatography/tandem mass spectrometry (UHPLC/MS/MS). Only micro-volumes of plasma were required from each sample and we also applied the method to discover IgA and IgA-glycopeptide profiles in patients with chronic kidney diseases and IgA nephropathy. METHODS: Peptide M affinity beads were used to purify IgA, and a cost-effective peptide analogue was added as internal standard. With an efficient on-bead digestion process, purified samples were analyzed by UHPLC/MS/MS in multiple reaction monitoring mode. RESULTS: Correlation coefficients were greater than 0.999 for the IgA1 and IgA2 calibration curves and greater than 0.994 for glycopeptide regression curves. Intraday and interday precisions for IgA1 and IgA2 were <1.6% and <5.1% RSD, respectively. Intraday and interday accuracies ranged from 102.6 to 114.9% and 103.5 to 113.5% for IgA1 and IgA2, respectively. Stabilities of IgA1 and IgA2 at -80°C for 7 to 15 days ranged from 96.0 to 109.4%, respectively. The Pearson's correlation coefficient was 0.916 when comparing the IgA quantification results of the 30 clinical samples by using ELISAs and the developed UHPLC/MS/MS method. Compared with healthy controls, IgA and IgA-glycopeptides showed different profiles in patients with chronic kidney diseases and IgA nephropathy. CONCLUSIONS: The developed method showed good validation results, and the absolute quantification results of IgA correlated with those from ELISA. The pilot application study showed that IgA and IgA-glycopeptides can be potential biomarker candidates for kidney diseases, and more clinical sample applications are worth investigating.

Therapeutic drug monitoring of the teicoplanin trough level after the loading doses in patients receiving venoarterial extracorporeal membrane oxygenation.

BACKGROUND: The optimal loading dose of teicoplanin in patients receiving venoarterial extracorporeal membrane oxygenation (VA-ECMO) has never been determined by therapeutic drug monitoring. This study investigated the appropriateness of proposed loading dose regimens of teicoplanin when administered to patients receiving VA-ECMO by using a previously proposed loading dosage and measuring the teicoplanin trough concentration (Ctrough). METHODS: Patients who initiated teicoplanin therapy while receiving VA-ECMO were enrolled. Every included patient received four loading doses of teicoplanin at a dose of 12 mg/kg. The first three doses were administered 12 h apart, and the fourth dose was administered 24 h after the third dose. Blood samples were collected before administering the maintenance dose (i.e., the fifth dose), and the teicoplanin Ctrough was measured. Serum teicoplanin levels were determined using an Agilent 1290 ultra-high performance liquid chromatography system. RESULTS: The teicoplanin Ctrough was successfully tested in 11 patients. Their median age was 68.2 years, and 81.8% of them were men. The median of each loading dose was 11.6 (range, 10.7-12.8) mg/kg. The median teicoplanin Ctrough was 22.01 (range, 14.85-44.84) mg/L. All patients had a Ctrough of more than 10 mg/L, whereas 90.9% (10/11) of the patients achieved a Ctrough of more than 15 mg/L. CONCLUSION: The loading dosage consisting of four doses of teicoplanin administered within the first 72 h at a dose of 12 mg/kg/dose could achieve an adequate therapeutic Ctrough of teicoplanin in patients receiving VA-ECMO.

High accuracy differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma by immunoglobulin G glycosylation.

BACKGROUND: Misdiagnosis of autoimmune pancreatitis (AIP) as pancreatic cancer (PDAC) or vice versa can cause dismal patents' outcomes. Changes in IgG glycosylation are associated with cancers and autoimmune diseases. This study investigated the IgG glycosylation profiles as diagnostic and prognostic biomarkers in PDAC and AIP. METHODS: Serum IgG-glycosylation profiles from 86 AIP patients, 115 PDAC patients, and 57 controls were analyzed using liquid chromatography-electrospray ionization mass spectrometry. Classification and regression tree (CART) analysis was applied to build a decision tree for discriminating PDAC from AIP. The result was validated in an independent cohort. RESULTS: Compared with AIP patients and controls, PDAC patients had significantly higher agalactosylation, lower fucosylation, and sialylation of IgG1, a higher agalactosylation ratio of IgG1 and a higher agalactosylation ratio of IgG2. AIP patients had significantly higher fucosylation of IgG1 and a higher sialylation ratio of IgG subclasses 1, 2 and 4. Using the CART analysis of agalactosylation and sialylation ratios in the IgG to discriminate AIP from PDAC, the diagnostic accuracy of the glycan markers was 93.8% with 94.6% sensitivity and 92.9% specificity. There were no statistically significant difference of IgG-glycosylation profiles between diffuse type and focal type AIP. CONCLUSIONS: AIP and PDAC patients have distinct IgG-glycosylation profilings. IgG-glycosylation could different PDAC from AIP with high accuracy.

Metabolome analysis for investigating host-gut microbiota interactions.

Dysbiosis of the gut microbiome is associated with host health conditions. Many diseases have shown to have correlations with imbalanced microbiota, including obesity, inflammatory bowel disease, cancer, and even neurodegeneration disorders. Metabolomics studies targeting small molecule metabolites that impact the host metabolome and their biochemical functions have shown promise for studying host-gut microbiota interactions. Metabolome analysis determines the metabolites being discussed for their biological implications in host-gut microbiota interactions. To facilitate understanding the critical aspects of metabolome analysis, this article reviewed (1) the sample types used in host-gut microbiome studies; (2) mass spectrometry (MS)-based analytical methods and (3) useful tools for MS-based data processing/analysis. In addition to the most frequently used sample type, feces, we also discussed others biosamples, such as urine, plasma/serum, saliva, cerebrospinal fluid, exhaled breaths, and tissues, to better understand gut metabolite systemic effects on the whole organism. Gas chromatography-mass spectrometry (GC-MS), liquid chromatography-mass spectrometry (LC-MS), and capillary electrophoresis-mass spectrometry (CE-MS), three powerful tools that can be utilized to study host-gut microbiota interactions, are included with examples of their applications. After obtaining big data from MS-based instruments, noise removal, peak detection, missing value imputation, and data analysis are all important steps for acquiring valid results in host-gut microbiome research. The information provided in this review will help new researchers aiming to join this field by providing a global view of the analytical aspects involved in gut microbiota-related metabolomics studies.

Rapid quantification of glutaminase 2 (GLS2)-related metabolites by HILIC-MS/MS.

Glutamine, glutamate and glutathione are key modulators of excessive oxidative stress in tumor cells. In this study, we developed a rapid and accurate HILIC-MS/MS method to simultaneously determine concentrations of cellular glutamine, glutamate and glutathione. A bared silica HILIC column was employed to analyze these polar metabolites. The LC-MS parameters were optimized to achieve high sensitivity and selectivity. The analysis can be completed within 4 min under optimal conditions. The method was validated in terms of accuracy, precision, and linearity. Intra-day (n = 9) precision was within 2.68-6.24% among QCs. Inter-day precision (n = 3) was below 12.4%. The method accuracy was evaluated by the recovery test, and the accuracy for three analytes were between 91.6 and 110%. The developed method was applied to study antioxidant function of GLS2 in non-small cell lung cancer cells. Changes in concentrations of glutamine, glutamate and glutathione revealed that the overexpression of GLS2 could effectively decrease oxidative stress. In summary, this study developed a rapid HILIC-MS/MS method for quantification of GLS2-related metabolites that could facilitate elucidation of the role of GLS2 in tumor development.

Development of an LC-MS/MS method with protein G purification strategy for quantifying bevacizumab in human plasma.

Biopharmaceutical products such as protein drugs and monoclonal antibodies (mAb) are currently of great interest with monoclonal antibody drugs being one of the fastest growing categories of biopharmaceutical products. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) has gained high interest for measuring mAb drugs in biological samples in recent years due to its high selectivity. Bevacizumab is a humanized immunoglobulin G (IgG) mAb drug against human vascular endothelial cell growth factor A (VEGF-A). It is used for treating many types of cancers. Recent studies have indicated that clinical outcomes vary among patients treated with bevacizumab and produce various side effects, such as vascular disorders. In this study, we developed an LC-MS/MS method to quantify bevacizumab concentration. We selected readily available and economic materials for sample preparation to facilitate its wider use in clinical fields.-Protein G was used to trap bevacizumab from human plasma. In place of an extended stable isotope-labeled internal standard (SIL-IS), the IgG-based drug-IS tocilizumab was used because of its better calibration performance. The method was validated in terms of its precision, accuracy, linearity, and sensitivity. The accuracies which were expressed as percentage recoveries for three concentration levels were within 92.8 ± 3.2 to 112.7 ± 4.5%. Repeatability and intermediate precision in terms of peak area ratios were lower than 5.2 and 12.9% RSD, respectively. The application to patients' sample measurements revealed a wide individual variability of drug concentrations, and the proposed simple and general method may facilitate personalized medicine for improving therapeutic efficacy and safety. Graphical abstract ᅟ.

Using the matrix-induced ion suppression method for concentration normalization in cellular metabolomics studies.

Studies of the cell metabolome greatly improve our understanding of cell biology. Currently, most cellular metabolomics studies control only cell numbers or protein content without adjusting the total metabolite concentration, mainly because of the lack of an effective concentration normalization method for cell metabolites. This study proposed a matrix-induced ion suppression (MIIS) method to measure the total amount of cellular metabolites by utilizing flow injection analysis coupled with electrospray ionization mass spectrometry (FIA-ESI-MS).We used series dilutions of HL-60 cell extracts to establish the relationship between cellular metabolite concentration and the degree of ion suppression of the ion suppression indicator, and a good correlation was obtained between 2- and 12-fold dilutions of cell extracts (R(2) = 0.999). Two lung cancer cells, CL1-0 and CL1-5, were selected as the model cell lines to evaluate the efficacy of the MIIS method and the importance of metabolite concentration normalization. Through MIIS analysis, CL1-0 cells were found to contain metabolites at a concentration 2.1 times higher than in CL1-5, and the metastatic properties of CL1-5 could only be observed after 2.1-fold dilution of CL1-0 before metabolomic analysis. Our results demonstrated that the MIIS method is an effective approach for metabolite concentration normalization and that controlling metabolite concentrations can improve data integrity in cellular metabolomics studies.

Use of high-conductivity sample solution with sweeping-micellar electrokinetic capillary chromatography for trace-level quantification of paliperidone in human plasma.

Paliperidone is a new antipsychotic drug with a relatively low therapeutic concentration of 20-60 ng/mL. We established an accurate and sensitive CE method for the determination of paliperidone concentrations in human plasma in this study. To minimize matrix effect caused by quantification errors, paliperidone was extracted from human plasma using Oasis HLB SPE cartridges with three-step washing procedure. To achieve sensitive quantification of paliperidone in human plasma, a high-conductivity sample solution with sweeping-MEKC method was applied for analysis. The separation is performed in a BGE composed of 75 mM phosphoric acid, 100 mM SDS, 12% acetonitrile, and 15% tetrahydrofuran. Sample solution consisted of 10% methanol in 250 mM phosphoric acid and the conductivity ratio between sample matrix and BGE was 2.0 (γ, sample/BGE). The results showed it able to detect paliperidone in plasma samples at concentration as low as 10 ng/mL (S/N = 3) with a linear range between 20 and 200 ng/mL. Compared to the conventional MEKC method, the sensitivity enhancement factor of the developed sweeping-MEKC method was 100. Intra- and interday precision of peak area ratios were less than 6.03%; the method accuracy was between 93.4 and 97.9%. This method was successfully applied to the analysis of plasma samples of patients undergoing paliperidone treatment.

Arginine methylation of DDX3 by PRMT1 mediates mitochondrial homeostasis to promote breast cancer metastasis.

Dysregulated mitochondrial dynamics and metabolism play important roles in tumorigenesis. Metastasizing tumor cells predominantly utilize mitochondrial metabolism, and regulators of metabolic reprogramming may provide reliable biomarkers for diagnosing cancer metastasis. Here, we identified a PRMT1-DDX3 axis that promotes breast cancer metastasis by coordinating mitochondrial biogenesis and mitophagy to ensure mitochondrial quality control. Mechanistically, PRMT1 induces arginine methylation of DDX3, which enhances its protein stability and prevents proteasomal degradation. DDX3 mediates mitochondrial homeostasis by translocating to mitochondria where it facilitates PINK1 translation in response to mitochondrial stress. Inhibition of DDX3 suppresses mitochondrial biogenesis and mitophagy, resulting in diminished cancer stemness and metastatic properties. Overall, this study uncovers a mechanism by which the PRMT1-DDX3 axis regulates mitochondrial homeostasis to support breast cancer metastasis, suggesting strategies for targeting metabolic vulnerabilities to treat metastatic breast cancer.

Characterization of T-Cell receptor repertoire in immunoglobulin a nephropathy.

Immunoglobulin A nephropathy (IgAN) is an autoimmune disease characterized by abnormal IgA deposition in glomerulus. Current diagnosis of IgAN still depends on renal biopsy, an invasive method that might increase the risk of clinical outcomes. Therefore, we aimed to explore the characteristics of T cell repertoire in IgAN from peripheral blood samples for identifying innovative diagnostic biomarkers. Herein, we included 8 IgAN patients, 25 non-IgAN patients, and 10 healthy controls in the study. A high-throughput immune repertoire sequencing was conducted to investigate the T-cell receptor beta-chain (TCRß) repertoire of peripheral blood. Characteristics of TCRß repertoire were assessed for these three distinct groups. A reduced TCRß repertoire diversity was observed in IgAN patients compared to non-IgAN and healthy individuals. A skewed distribution toward shorter TCRß complementarity determining region (CDR3) length was found in non-IgAN relative to IgAN patients. In addition, the differences in usages of five TRBV genes (TRBV5-4, TRBV6-4, TRBV12-1, TRBV16, and TRBV21-1) were identified between IgAN, non-IgAN, and healthy subjects. Of note, the TRBV6-4 gene, which is associated with mucosal-associated invariant T (MAIT) cells, exhibited higher usage in IgAN patients, suggesting potential importance of MAIT cells in IgAN. In short, our findings supported TCR repertoire characteristics as potential biomarkers for IgAN diagnosis.

Variable radiographic and histologic presentations of amiodarone-related interstitial lung disease and the importance of avoiding re-exposure.

Amiodarone is a commonly used antiarrhythmic agent but exhibits potential pulmonary toxicity. In this case series, we describe the clinical, radiographic, and histologic manifestations of three patients who developed interstitial lung disease (ILD) following amiodarone treatment for variable lengths of time with different dosages. The presentations on computed tomographic images and in pulmonary pathology differed among the three patients. All three had immediate discontinuation of amiodarone and received treatment with systemic corticosteroids. One patient eventually died from ventilator-associated pneumonia after an initial improvement. The other two patients recovered well but later experienced ILD recurrence following brief re-exposure to amiodarone. Through this case series, we aim to demonstrate the variable features of amiodarone-related ILD, and highlight the importance of timely amiodarone cessation and avoiding re-exposure to prevent the progression and recurrence of ILD.

Evaluation of convolutional neural network for non-destructive detection of imidacloprid and acetamiprid residues in chili pepper (Capsicum frutescens L.) based on visible near-infrared spectroscopy.

Consumption of agricultural products with pesticide residue is risky and can negatively affect health. This study proposed a nondestructive method of detecting pesticide residues in chili pepper based on the combination of visible and near-infrared (VIS/NIR) spectroscopy (400-2498 nm) and deep learning modeling. The obtained spectra of chili peppers with two types of pesticide residues (acetamiprid and imidacloprid) were analyzed using a one-dimensional convolutional neural network (1D-CNN). Compared with the commonly used partial least squares regression model, the 1D-CNN approach yielded higher prediction accuracy, with a root mean square error of calibration of 0.23 and 0.28 mg/kg and a root mean square error of prediction of 0.55 and 0.49 mg/kg for the acetamiprid and imidacloprid data sets, respectively. Overall, the results indicate that the combination of the 1D-CNN model and VIS/NIR spectroscopy is a promising nondestructive method of identifying pesticide residues in chili pepper.

Intelligent films of marine polysaccharides and purple cauliflower extract for food packaging and spoilage monitoring.

In this study, metalloanthocyanin-inspired, biodegradable packaging films were developed by incorporating purple cauliflower extracted (PCE) anthocyanins into alginate (AL)/carboxymethyl chitosan (CCS) hybrid polymer matrices based on complexation of metal ions with these marine polysaccharides and anthocyanins. PCE anthocyanins-incorporated AL/CCS films were further modified with fucoidan (FD) because this sulfated polysaccharide can form strong interactions with anthocyanins. Metals-involved complexation (Ca2+ and Zn2+-crosslinked films) improved the mechanical strength and water vapor permeability but reduced the swelling degree of the films. Zn2+-cross-linked films exhibited significantly higher antibacterial activity than did pristine (non-crosslinked) and Ca2+-cross-linked films. The metal ion/polysaccharide-involved complexation with anthocyanin reduced the release rate of anthocyanins, increased the storage stability and antioxidant capability, and improved the sensitivity of the colorimetric response of the indicator films for monitoring the freshness of shrimp. The anthocyanin-metal-polysaccharide complex film showed great potential as active and intelligent packaging of food products.