Conversion of acidified lignin containing sulfur discharged from a biorefinery process into neutralized biochar: Characterization and metal adsorption.

The objectives of this study were to produce biochars using sulfur-rich acidified lignin discharged from a biorefinery process and to evaluate their physicochemical properties and Pb adsorption capacity. As the pyrolysis temperature increased, the lignin acidified by the desulfurization process was converted to neutralized biochar (LBC), which exhibited high carbon content and stability. The carbon content of biochar manufactured at a pyrolysis temperature of 600 °C or higher was over 90 % and showed no significant difference, and their surface structures were found to be different, as revealed through XRD and FTIR analyses. The adsorption capacity of Pb by LBC increased with increasing pyrolysis temperature, and their adsorption capacity was well described by the pseudo-second-order model and the Langmuir isotherm adsorption model. In particular, the internal diffusion effect on the adsorption capacity of Pb was greater for LBC900 than for LBC600. In complex heavy metal solutions, LBC selectively exhibited high affinity for Pb, while the adsorption capacity of other metals was significantly reduced. The adsorption mechanism of Pb by LBC was verified through various analytical methods, and these results demonstrated that the adsorption of Pb by LBC was influenced by functional groups existing on the surface and inside of LBC and by some cation exchange.

Analysis of the waitlist performance and post-transplant outcomes of lung transplant in elderly recipients in Korea: A nationwide cohort study.

BACKGROUND: There is a lack of information on the waitlist performance and post-transplant outcomes of lung transplants in elderly recipients in Korea. METHODS: We retrospectively reviewed and analyzed data from the Korean Network for Organ Sharing database between March 2010 and August 2023. RESULTS: In total, 2574 patients were listed for lung transplantation during the study period, with 511 (19.9%) of them being over 65 years of age. Among these, 188 patients (36.8%) underwent transplantation, while 184 patients (36%) passed away without undergoing transplantation at the time of data extraction. The most prevalent underlying disease on the waitlist was idiopathic pulmonary fibrosis, accounting for 68.1%. The 1-year survival rate was significantly lower in the elderly compared to that in the nonelderly (65.4 vs. 75.4%; p = .004). In the multivariate Cox analysis, elderly (hazard ratio [HR], 1.49; 95% CI, 1.14-1.97; p = .004) and a high urgent status at registration (HR, 1.83; 95% CI, 1.40-2.40; p < .001) were significantly associated with post-transplant 1-year mortality. Kaplan-Meier curves demonstrated a significant difference in post-transplant mortality based on the urgency status at enrollment (χ2 = 8.302, p = .016). Even with the same highly urgent condition at the time of transplantation, different prognoses were observed depending on the condition at listing (χ2 = 9.056, p = .029). CONCLUSION: The elderly exhibited worse transplant outcomes than nonelderly adults, with a highly urgent status at registration identified as a significant risk factor. Unprepared, highly urgent transplantation was associated with poor outcomes.

Enhancing Growth and Health in Weanling Pigs: The Impact of Monzogranite Supplementation.

Monzogranite is known for its high surface area and cation exchange capacity, which play a crucial role in ameliorating the challenges by enhancing nutrient adsorption and facilitating nutrient availability during the weaning period. Weaned crossbred piglets (Duroc × Yorkshire × Landrace), initially weighing 5.36 ± 0.26 kg, were allocated into four treatments with 6 replicates each (10 pigs per replicate). The treatments encompassed CON (basal diet), Z0.1 (0.1% monzogranite supplementation in basal diet), Z0.2 (0.2% monzogranite supplementation), and Z0.3 (0.3% monzogranite supplementation). In phase 1, a linear increase in total average daily gain (ADG) was observed across treatment groups, with a concomitant linear increase in ADG and gain-to-feed ratio (G/F). The overall results showed a linear increase in ADG and G/F. A linear decrease in aspartate aminotransferase and lactate dehydrogenase levels was observed across treatment groups. Conversely, no significant differences were noted in the levels of albumin, alkaline phosphatase, alanine aminotransferase, high-density lipoprotein, low-density lipoprotein, total cholesterol, blood urea nitrogen, triglycerides, and gamma-glutamyl transferase among the treatment groups. Faecal scoring indicated a linear reduction in scores at Day 7 among the treatment groups. However, no significant differences were observed at Days 14 and 28. The assessment of immunoglobulins demonstrated a significant increase in both immunoglobulin G and immunoglobulin A levels in the Z0.1 treatment group compared to the CON. In both phase 1 and phase 2, a linear decrease in cortisol levels was evident. In conclusion, a linear increase in total ADG and G/F during phase 1, sustained across both phases, suggests monzogranite potential to enhance growth performance. Moreover, stress mitigation was shown through a consistent linear decrease in cortisol levels across phases. These findings underscore monzogranite multifaceted impact, emphasizing its potential as a dietary supplement to enhance growth, liver health, and stress resilience in weanling pigs.

Postmortem-Derived Exosomal MicroRNA 486-5p as Potential Biomarkers for Ischemic Heart Disease Diagnosis.

Exosomes are nanovesicles 30-150 nm in diameter released extracellularly. Those isolated from human body fluids reflect the characteristics of their cells or tissues of origin. Exosomes carry extensive biological information from their parent cells and have significant potential as biomarkers for disease diagnosis and prognosis. However, there are limited studies utilizing exosomes in postmortem diagnostics. In this study, we extended our initial research which identified the presence and established detection methodologies for exosomes in postmortem fluids. We analyzed exosomal miRNA extracted from plasma and pericardial fluid samples of a control group (n = 13) and subjects with acute myocardial infarction (AMI; n = 24). We employed next-generation sequencing (NGS) to investigate whether this miRNA could serve as biomarkers for coronary atherosclerosis leading to acute myocardial infarction. Our analysis revealed 29 miRNAs that were differentially expressed in the AMI group compared to the control group. Among these, five miRNAs exhibited more than a twofold increase in expression across all samples from the AMI group. Specifically, miR-486-5p levels were significantly elevated in patients with high-grade (type VI or above) atherosclerotic plaques, as per the American Heart Association criteria, highlighting its potential as a predictive biomarker for coronary atherosclerosis progression. Our results indicate that postmortem-derived exosomal microRNAs can serve as potential biomarkers for various human diseases, including cardiovascular disorders. This finding has profound implications for forensic diagnostics, a field critically lacking diagnostic markers.

Matrisomics: Beyond the extracellular matrix for unveiling tumor microenvironment.

The matrisome, a group of proteins constituting or interacting with the extracellular matrix (ECM), has garnered attention as a potent regulator of cancer progression. An increasing number of studies have focused on cancer matrisome utilizing diverse -omics approaches. Here, we present diverse patterns of matrisomal populations within cancer tissues, exploring recent -omics studies spanning different '-omics' levels (epigenomics, genomics, transcriptomics, and proteomics), as well as newly developed sequencing techniques such as single-cell RNA sequencing and spatial transcriptomics. Some matrisome genes showed uniform patterns of upregulated or downregulated expression across various cancers, while others displayed different expression patterns according to the cancer types. This matrisomal dysregulation in cancer was further examined according to their originating cell type and spatial location in the tumor tissue. Experimental studies were also collected to demonstrate the identified roles of matrisome genes during cancer progression. Interestingly, many studies on cancer matrisome have suggested matrisome genes as effective biomarkers in cancer research. Although the specific mechanisms and clinical applications of cancer matrisome have not yet been fully elucidated, recent techniques and analyses on cancer matrisomics have emphasized their biological importance in cancer progression and their clinical implications in deciding the efficacy of cancer treatment.

Rapid and sensitive detection of domoic acid in shellfish using a magnetic bead-based competitive ELISA with a high-affinity peptide as a molecular binder.

Addressing the critical health concerns posed by domoic acid (DA), a neurotoxic compound produced by toxic marine algae and bioaccumulated in shellfish, necessitates the development of a rapid, precise, and robust detection system. Traditional DA detection methods have stability and sensitivity issues, which hinder effective toxin detection. To overcome these limitations, we developed a novel direct competitive enzyme-linked immunosorbent assay (dc-ELISA) platform that utilizes peptide-immobilized magnetic beads (MGBs/peptide). The affinity peptides identified through phage display and chemically synthesized with biotin labels present an innovative alternative to conventional antibodies for ELISA applications. Streptavidin-modified MGBs were used as the bioreceptor carriers to facilitate magnetic separation and simplify sample preparation, making the MGB/peptide-based dc-ELISA platform an ideal tool for comprehensive monitoring efforts. The developed platform exhibits a detection range of 0.5-10 ng mL-1 and a low limit of detection of 0.29 ng mL-1, offering enhanced sensitivity and cost-effectiveness. Moreover, our developed dc-ELISA demonstrated a high recovery rate when validated with DA-spiked CRM-mussel samples. This method overcomes the limitations of traditional detection techniques and offers a scalable and efficient approach to marine toxin surveillance with improved marine environmental monitoring and public health management.

Advance computational tools for multiomics data learning.

The burgeoning field of bioinformatics has seen a surge in computational tools tailored for omics data analysis driven by the heterogeneous and high-dimensional nature of omics data. In biomedical and plant science research multi-omics data has become pivotal for predictive analytics in the era of big data necessitating sophisticated computational methodologies. This review explores a diverse array of computational approaches which play crucial role in processing, normalizing, integrating, and analyzing omics data. Notable methods such similarity-based methods, network-based approaches, correlation-based methods, Bayesian methods, fusion-based methods and multivariate techniques among others are discussed in detail, each offering unique functionalities to address the complexities of multi-omics data. Furthermore, this review underscores the significance of computational tools in advancing our understanding of data and their transformative impact on research.

Contemporary Statistics of Acute Ischemic Stroke and Transient Ischemic Attack in 2021: Insights From the CRCS-K-NIH Registry.

This report presents the latest statistics on the stroke population in South Korea, sourced from the Clinical Research Collaborations for Stroke in Korea-National Institute for Health (CRCS-K-NIH), a comprehensive, nationwide, multicenter stroke registry. The Korean cohort, unlike western populations, shows a male-to-female ratio of 1.5, attributed to lower risk factors in Korean women. The average ages for men and women are 67 and 73 years, respectively. Hypertension is the most common risk factor (67%), consistent with global trends, but there is a higher prevalence of diabetes (35%) and smoking (21%). The prevalence of atrial fibrillation (19%) is lower than in western populations, suggesting effective prevention strategies in the general population. A high incidence of large artery atherosclerosis (38%) is observed, likely due to prevalent intracranial arterial disease in East Asians and advanced imaging techniques. There has been a decrease in intravenous thrombolysis rates, from 12% in 2017-2019 to 10% in 2021, with no improvements in door-to-needle and door-to-puncture times, worsened by the coronavirus disease 2019 pandemic. While the use of aspirin plus clopidogrel for non-cardioembolic stroke and direct oral anticoagulants for atrial fibrillation is well-established, the application of direct oral anticoagulants for non-atrial fibrillation cardioembolic strokes in the acute phase requires further research. The incidence of early neurological deterioration (13%) and the cumulative incidence of recurrent stroke at 3 months (3%) align with global figures. Favorable outcomes at 3 months (63%) are comparable internationally, yet the lack of improvement in dependency at 3 months highlights the need for advancements in acute stroke care.

Development of a novel sandwich immunoassay based on targeting recombinant Francisella outer membrane protein A for the diagnosis of tularemia.

Introduction: Tularemia, caused by the bacterium Francisella tularensis, poses health risks to humans and can spread through a variety of routes. It has also been classified as a Tier 1 Select agent by the CDC, highlighting its potential as a bioterrorism agent. Moreover, it is difficult to diagnose in a timely fashion, owing to the non-specific nature of tularemia infections. Rapid, sensitive, and accurate detection methods are required to reduce mortality rates. We aimed to develop antibodies directed against the outer membrane protein A of F. tularensis (FopA) for rapid and accurate diagnosis of tularemia. Methods: We used a baculovirus insect cell expression vector system to produce the FopA antigen and generate anti-FopA antibodies through immunization of BALB/c mice. We then employed hybridoma and phage display technologies to screen for antibodies that could recognize unique epitopes on FopA. Result: Two monoclonal antibodies, 6B12 and 3C1, identified through phage display screening specifically bound to recombinant FopA in a dose-dependent manner. The binding affinity of the anti-FopA 6B12 and 3C1 antibodies was observed to have an equilibrium dissociation constant of 1.76 × 10-10 M and 1.32 × 10-9 M, respectively. These antibodies were used to develop a sandwich ELISA system for the diagnosis of tularemia. This assay was found to be highly specific and sensitive, with detection limits ranging from 0.062 ng/mL in PBS to 0.064 ng/mL in skim milk matrices. Discussion: Our findings demonstrate the feasibility of a novel diagnostic approach for detecting F. tularensis based on targeting FopA, as opposed to existing tests that target the bacterial lipopolysaccharide.

Blockade of STING activation alleviates microglial dysfunction and a broad spectrum of Alzheimer's disease pathologies.

Abnormal glial activation promotes neurodegeneration in Alzheimer's disease (AD), the most common cause of dementia. Stimulation of the cGAS-STING pathway induces microglial dysfunction and sterile inflammation, which exacerbates AD. We showed that inhibiting STING activation can control microglia and ameliorate a wide spectrum of AD symptoms. The cGAS-STING pathway is required for the detection of ectopic DNA and the subsequent immune response. Amyloid-ß (Aß) and tau induce mitochondrial stress, which causes DNA to be released into the cytoplasm of microglia. cGAS and STING are highly expressed in Aß plaque-associated microglia, and neuronal STING is upregulated in the brains of AD model animals. The presence of the APOE ε4 allele, an AD risk factor, also upregulated both proteins. STING activation was necessary for microglial NLRP3 activation, proinflammatory responses, and type-I-interferon responses. Pharmacological STING inhibition reduced a wide range of AD pathogenic features in AppNL-G-F/hTau double-knock-in mice. An unanticipated transcriptome shift in microglia reduced gliosis and cerebral inflammation. Significant reductions in the Aß load, tau phosphorylation, and microglial synapse engulfment prevented memory loss. To summarize, our study describes the pathogenic mechanism of STING activation as well as its potential as a therapeutic target in AD.

Graphitic carbon nitride-based electrochemical sensors: A comprehensive review of their synthesis, characterization, and applications.

Graphitic carbon nitride (g-C3N4) has garnered much attention as a promising 2D material in the realm of electrochemical sensors. It contains a polymeric matrix that can serve as an economical and non-toxic electrode material for the detection of a diverse range of analytes. However, its performance is impeded by a relatively limited active surface area and inherent instability. Although electrochemistry involving metal-doped g-C3N4 nanomaterials is rapidly progressing, it remains relatively unexplored. The metal doping of g-C3N4 augments the electrochemically active surface area of the resulting electrode, which has the potential to significantly enhance electrode kinetics and bolster catalytic activity. Consequentially, the main objective of this review is to provide insight into the intricacies of synthesizing and characterizing metal-doped g-C3N4. Furthermore, we comprehensively delve into the fundamental attributes of electrochemical sensors based on metal-doped g-C3N4, with a specific focus on healthcare and environmental applications. These applications encompass a meticulous exploration of detecting biomolecules, drug molecules, and organic pollutants.

The first Chromosomal-level genome assembly of Sageretia thea using Nanopore long reads and Pore-C technology.

Sageretia thea, a notable species within the mock buckthorn genus, is recognized for its intriguing biogeographical distribution and diverse medicinal properties. Despite this significance, genomic studies on S. thea are still in the nascent stages. We present the first chromosome-level genome assembly of S. thea that was generated using a combination of Oxford Nanopore long-read and Illumina short-read sequencing technologies complemented by Pore-C chromatin conformation capture. The genome assembly had a size of 197.8 Mb with 12 chromosomal scaffolds and a scaffold N50 length of 15.9 Mb. A total of 25,434 protein-coding genes were identified and functionally annotated, and the gene model indicated 96.5% complete eukaryotic BUSCOs. Additionally, orthologous gene profiling and synteny analysis were performed to elucidate the evolutionary relationships within the Rhamnaceae family and Rosales. This high-quality chromosomal genome is the first genomic view of S. thea, which will serve as the basis for future studies on its biological and medicinal properties, and evolutionary history.

Laser-responsive erastin-loaded chondroitin sulfate nanomedicine targeting CD44 and system xc- in liver cancer: A non-ferroptotic approach.

Erastin, a ferroptosis-inducing system xc- inhibitor, faces clinical challenges due to suboptimal physicochemical and pharmacokinetic properties, as well as relatively low potency and off-target toxicity. Addressing these, we developed ECINs, a novel laser-responsive erastin-loaded nanomedicine utilizing indocyanine green (ICG)-grafted chondroitin sulfate A (CSA) derivatives. Our aim was to improve erastin's tumor targeting via CSA-CD44 interactions and enhance its antitumor efficacy through ICG's photothermal and photodynamic effects in the laser-on state while minimizing off-target effects in the laser-off state. ECINs, with their nanoscale size of 186.7 ±â€¯1.1 nm and high erastin encapsulation efficiency of 93.0 ±â€¯0.8 %, showed excellent colloidal stability and sustained drug release up to 120 h. In vitro, ECINs demonstrated a mechanism of cancer cell inhibition via G1-phase cell cycle arrest, indicating a non-ferroptotic action. In vivo biodistribution studies in SK-HEP-1 xenograft mice revealed that ECINs significantly enhanced tumor distribution of erastin (1.9-fold greater than free erastin) while substantially reducing off-target accumulation in the lungs and spleen by 203-fold and 19.1-fold, respectively. Combined with laser irradiation, ECINs significantly decreased tumor size (2.6-fold, compared to free erastin; 2.4-fold, compared to ECINs without laser irradiation) with minimal systemic toxicity. This study highlights ECINs as a dual-modality approach for liver cancer treatment, demonstrating significant efficacy against tumors overexpressing CD44 and system xc-.

Efficacy of Mindfulness-Based Stress Reduction for Breast Cancer (MBSR(BC)) a Treatment for Cancer-related Cognitive Impairment (CRCI): A Randomized Controlled Trial.

Introduction: The Mindfulness-Based Stress Reduction (MBSR) Program for breast cancer survivors (BCS) is designed to enhance cognitive training through formal and informal meditational practices. This randomized clinical trial (RCT) aimed to evaluate if BCS assigned to either the MBSR(BC), Breast Cancer Education Support (BCES), or Usual Care (UC) regimens experienced greater improvements at 6, 12, and 26 weeks on objective and subjective cognitive performance. Methods: BCS (n = 212) randomized to a three-group RCT: MBSR(BC) (n = 91), BCES (n = 90), or UC (n = 31) were assessed on cognitive performance and symptoms at baseline, 6, 12, and 26 weeks. Linear mixed models were fit to evaluate the effects of the MBSR(BC) program, hypothesizing ordered effect improvements: (MBSR[BC] highest, BCES intermediate, UC lowest) along with baseline characteristics evaluated as moderators. Results: Of the BCS (mean age of 57), 73% were White, and non-Hispanic, and 77% received both chemotherapy (CT) and radiation. Cognitive performance improved in all groups. Although there were no statistically significant between-group differences in cognitive outcomes, significant symptom reductions occurred for the MBSR(BC) group (p = 0.003). Within-group effect size analysis at 26 weeks showed substantial improvements in all three groups (effect sizes >0.50) in subjective impairments and quality of life (effect size >0.50) and objective measures of cognitive performance. MBSR(BC) showed the largest within-group effect size in the reduction of fatigue (effect size = 0.81). Effect sizes occurred in the hypothesized direction for 10 of the 18 outcomes. Discussion: Although the MBSR(BC) program did not show significant differences in cognitive performance compared with BCES and UC, all groups improved and reductions in fatigue were beneficial for MBSR(BC). Results suggest that cognitive performance may improve after CT over time considering one's natural history. Furthermore, BCS enrolled in RCTs may be more motivated to improve their health status (NCT02786797).

Gene-level alignment of single-cell trajectories.

Single-cell data analysis can infer dynamic changes in cell populations, for example across time, space or in response to perturbation, thus deriving pseudotime trajectories. Current approaches comparing trajectories often use dynamic programming but are limited by assumptions such as the existence of a definitive match. Here we describe Genes2Genes, a Bayesian information-theoretic dynamic programming framework for aligning single-cell trajectories. It is able to capture sequential matches and mismatches of individual genes between a reference and query trajectory, highlighting distinct clusters of alignment patterns. Across both real world and simulated datasets, it accurately inferred alignments and demonstrated its utility in disease cell-state trajectory analysis. In a proof-of-concept application, Genes2Genes revealed that T cells differentiated in vitro match an immature in vivo state while lacking expression of genes associated with TNF signaling. This demonstrates that precise trajectory alignment can pinpoint divergence from the in vivo system, thus guiding the optimization of in vitro culture conditions.

Treatment extent of femoropopliteal disease and clinical outcomes following endovascular therapy.

BACKGROUND: Endovascular therapy (EVT) has become the preferred treatment modality for femoropopliteal disease. However, there is limited evidence regarding its procedural and clinical outcomes according to the affected area. AIMS: The aim of this study is to investigate clinical outcomes and device effectiveness according to treatment extent in the superficial femoral artery (SFA), popliteal artery (PA), or both. METHODS: In this study, we analysed EVT for SFA (2,404 limbs), PA (155 limbs), SFA/PA (383 limbs) using the population in the K-VIS ELLA (Korean Vascular Intervention Society Endovascular Therapy in Lower Limb Artery Diseases) registry. The primary endpoint was target lesion revascularisation (TLR) at 2 years. RESULTS: The SFA/PA group exhibited a higher prevalence of anatomical complexity, characterised by long lesions, moderate to severe calcification, and total occlusion. The procedures were successful in 97.2% of SFA, 92.9% of PA, and 95.6% of SFA/PA EVTs. The 2-year TLR rates were 21.1%, 18.6%, and 32.7% in the SFA, PA, and SFA/PA groups, respectively. SFA/PA EVT was associated with a significantly increased risk for TLR compared to the SFA group (adjusted hazard ratio [HR] 1.48 [1.09-2.00]; p=0.008) and a trend towards an increased risk compared to the PA group (adjusted HR 1.80 [1.00-3.27]; p=0.052). After overlap weighting, the use of a drug-coated balloon (DCB) was shown to be beneficial, with the lowest TLR rate after SFA and SFA/PA EVT. CONCLUSIONS: In this large real-world registry, SFA/PA EVT was associated with an increased risk for TLR at 2 years compared to the SFA or PA EVT groups, with favourable outcomes when using a DCB or drug-eluting stent in the SFA/PA EVT group.

Untargeted Metabolomics and Gut Microbiota Modulation Study of Fermented Brown Rice for Obesity.

Obesity or excess adipose tissue mass increases the risk of heart disease, hypertension, and diabetes. Obesity might be prevented by consuming plant-based probiotic fermented foods. This study aimed to determine whether adding Pediococcus acidilactici MNL5 to fermented brown rice (FBR) enhances its metabolites, lipase activity, and antioxidant efficiency. UHPLC-Q-TOF-MS/MS analysis revealed significant changes in untargeted metabolite profiles, while, compared with those of raw brown rice (RBR), FBR contained more antioxidant and lipase inhibitors. We evaluated the FBR in HFD (high-fat-diet)-induced obese mice by employing biochemical, histological, gut microbiome, and serum metabolomics approaches. FBR MD (250 mg/kg) decreased body weight (BW) and fat content compared with RBR. With subsequent FBR MD, mice fed a HFD may have reduced serum lipid levels. A HFD with a mid-dose FBR improved the gut microbiota diversity, composition, and structure; reduced the abundance of obesity-related genera such as Helicobacter, Clostridium, and Desulfovibrio; and promoted the abundance of beneficial genera such as Bifidobacterium, Akkermansia, and Lactobacillus, which are inversely correlated with BW, total cholesterol, TG, LDL-C, and HDL-C. In addition, FBR MD has been associated with increased levels of palmitic acid, EPA, oleic acid, α-linolenic acid, indole, dodecanoic acid, and amino acids. FBR, in its entirety, has exhibited promise as a functional material for ameliorating obesity.

Innovative strategies for protein content determination in dried laver (Porphyra spp.): Evaluation of preprocessing methods and machine learning algorithms through short-wave infrared imaging.

In this study, we explored the application of Short-Wave Infrared (SWIR) hyperspectral imaging combined with Competitive Adaptive Reweighted Sampling (CARS) and advanced regression models for the non-destructive assessment of protein content in dried laver. Utilizing a spectral range of 900-1700 nm, we aimed to refine the quality control process by selecting informative wavelengths through CARS and applying various preprocessing techniques (standard normal variate [SNV], Savitzky-Golay filtering [SG], Orthogonal Signal Correction [OSC], and StandardScaler [SS]) to enhance the model's accuracy. The SNV-OSC-StandardScaler- Support vector regression (SVR) model trained on CARS-selected wavelengths significantly outperformed the other configurations, achieving a prediction determination coefficient (Rp2) of 0.9673, root mean square error of prediction of 0.4043, and residual predictive deviation of 5.533. These results highlight SWIR hyperspectral imaging's potential as a rapid and precise tool for assessing dried laver quality, aiding food industry quality control and dried laver market growth.