Quality Control Standards Research Articles

Microwave-assisted synthesis of nickel-oxide/cobalt-oxide/reduced graphene oxide nanocomposite for highly sensitive electrochemical determination of epicatechin in food samples

The determination of bioactive compounds in food samples has received significant attention in recent years due to their potential health benefits. Epicatechin (EC) is one of the flavanol compounds naturally present in various foods such as tea, cocoa, grapes, and berries. It has various potential health benefits, including antioxidant, anti-inflammatory, and anti-cancer properties. However, excessive intake of EC can also have negative effects on health. The accurate and reliable detection of EC in food samples is crucial for ensuring consumer safety and maintaining quality control standards in the food industry. Therefore, developing a sensitive and reliable sensor for detecting EC in food samples is of significant importance. This research presents a novel method for detecting EC in various food samples. The method involves the use of a nickel-oxide/cobalt-oxide/reduced-graphene-oxide composite material (NiO/CoO/rGO) synthesized through a microwave-assisted technique which is then applied to a glassy carbon electrode to fabricate NiO/CoO/rGO/GCE sensor for sensitive determination of EC. The structural, morphological, and electrochemical characteristics of the electrode materials were analyzed using Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), X-ray diffraction (XRD) spectroscopy, cyclic voltammetry (CV), and electrochemical impedance spectroscopy (EIS). The morphological results confirmed the formation of well-dispersed NiO/CoO nanoparticles on the surface of rGO sheets. The electrochemical results revealed that the NiO/CoO/rGO/GCE sensor has exceptional electron-transport properties and electrocatalytic activity towards EC, with an Rct value of 90.85 kΩ that is lower than that of the Bare/GCE and GO/GCE electrodes, which attributed to the synergistic effect of NiO/CoO nanoparticles and rGO sheets. The method was found to have a detection limit of 0.0012 μM for EC, with a linear range of 0.05–65 μM. The sensor was also reliable, stable, reproducible, and selective, and yielded excellent recoveries (near to 100 %) with low RSD values for detecting EC in food samples.

АНАЛІЗ ЗАСТОСУВАННЯ ІОТ ТА ІНТЕЛЕКТУАЛЬНИХ ДАТЧИКІВ ДЛЯ МОНІТОРИНГУ ТА УПРАВЛІННЯ ТЕХНОЛОГІЧНИМИ ПРОЦЕСАМИ

Abstract. The article presents a comparative analysis of the application of IoT and smart sensors for monitoring and controlling industrial technological processes. It delves into the pros and cons of traditional sensors versus intelligent sensors, which function within the framework of the Industrial Internet of Things (IIoT). Emphasis is placed on the significance of leveraging modern technologies like IoT to enhance production process efficiency, cut costs, and elevate quality control standards. The research outlines pivotal aspects of IoT implementation in industry, including data security assurance, seamless integration with existing systems, and the formulation of comprehensive security frameworks. Smart sensors emerge as pivotal tools in streamlining technological processes owing to their real-time data collection and analysis capabilities. This strategic approach can empower companies to boost efficiency, trim expenses, and bolster competitiveness. The analysis underscores the necessity of meticulous consideration of technical, organizational, and security factors for the successful deployment of IoT in industry, pivotal for ensuring productive and efficient operational outcomes. Keywords: Internet of Things, automation, control, ion-plasma coatings, intelligent sensors

Review on Formulation and Evaluation of Herbal Lipstick

Abstract: Lipstick is a cosmetic used for color the lips . It enhance the appearance of the lips. Lipstick utilise for the purpose to enhance the appearance, look attractive and protection of lips for many types damaging UV rays etc. Herbal Lipstick is a cosmetic product containing pigments, oils, fragrance, preservatives, colors, texture and protection to the lips. It has become an almost universal constituent of ladies’ handbags. Moist lips, dry lips, shiny lips, smooth lips, all are simple matters of cosmetic application Herbal lipsticks are gaining popularity because natural cosmetics are safe. In market numbers of shades of colors are available to satisfy the demand by the women’s in form like liquid as well as stick on lips. Herbal lipsticks having minimum side effects. It contains natural ingredients or nutrients it is safe to use that keep lips healthy. Lipstick containing synthetic colorants which are made up of harmful chemicals and it is very harmful for our skin. Regular use of synthetic lipstick colours can have side effects on the skin, including skin pigmentation, skin irritation, acne, and cancer. The use of plant-based plant extract from the plants helps lessen side effects.This overview of lipstick covers its kind, technique of formulation, variety of colours, pigment extraction, natural oil, flavour, physical assessment, and quality control standards for lipstick used in the industry, as well as mould and flaws. Cosmetic procedures are used to enhance facial attractiveness. The demand for natural cosmetics is currently rising steadily thanks to its natural gifts. The natural products that women use today include a variety

2016–2017年小浪底栓皮栎人工林碳水通量观测数据集

The concern about global change has brought more attention to the role of plantations in the regional carbon and water cycle recently. Quercus variabilis is one of the most widely distributed natural tree species in China. The southern foot of Taihang Mountain is one of the key areas of forestry engineering in China. The study on the observation of water and carbon fluxes in a Quercus variabilis plantation in this area is of great significance to the development of forestry ecological engineering and the evaluation of plantation carbon sink function in China. Henan Xiaolangdi Earth Critical Zone National Research Station on the Middle Yellow River (i.e. XLD) has carried out long-term observation of and research on the carbon and water fluxes in a Quercus variabilis plantation using the eddy covariance technique since 2005. This dataset contains carbon and water flux observations and meteorological data collected from XLD from 2016 to 2017, which have been processed in accordance with the standard quality control system of ChinaFLUX. It covers the data of gross ecosystem primary productivity, ecosystem respiration, net ecosystem carbon exchange, latent heat flux, sensible heat flux and other related meteorological factors, such as air temperature, air relative humidity, vapor pressure, wind speed, wind direction, radiation, soil temperature, soil moisture, precipitation, etc. The dataset is composed of the data collected at the scales of half-hourly, daily, monthly, and yearly intervals. This dataset can provide data support for the management of plantation ecosystems and the assessment of regional carbon budgets. Moreover, it plays a crucial role in promoting data sharing and standardization management of field stations in China.

Metabolic Pathway Engineering Improves Dendrobine Production in Dendrobium catenatum.

The sesquiterpene alkaloid dendrobine, widely recognized as the main active compound and a quality control standard of medicinal orchids in the Chinese Pharmacopoeia, demonstrates diverse biological functions. In this study, we engineered Dendrobium catenatum as a chassis plant for the production of dendrobine through the screening and pyramiding of key biosynthesis genes. Initially, previously predicted upstream key genes in the methyl-D-erythritol 4-phosphate (MEP) pathway for dendrobine synthesis, including 4-(Cytidine 5'-Diphospho)-2-C-Methyl-d-Erythritol Kinase (CMK), 1-Deoxy-d-Xylulose 5-Phosphate Reductoisomerase (DXR), 2-C-Methyl-d-Erythritol 4-Phosphate Cytidylyltransferase (MCT), and Strictosidine Synthase 1 (STR1), and a few downstream post-modification genes, including Cytochrome P450 94C1 (CYP94C1), Branched-Chain-Amino-Acid Aminotransferase 2 (BCAT2), and Methyltransferase-like Protein 23 (METTL23), were chosen due to their deduced roles in enhancing dendrobine production. The seven genes (SG) were then stacked and transiently expressed in the leaves of D. catenatum, resulting in a dendrobine yield that was two-fold higher compared to that of the empty vector control (EV). Further, RNA-seq analysis identified Copper Methylamine Oxidase (CMEAO) as a strong candidate with predicted functions in the post-modification processes of alkaloid biosynthesis. Overexpression of CMEAO increased dendrobine content by two-fold. Additionally, co-expression analysis of the differentially expressed genes (DEGs) by weighted gene co-expression network analysis (WGCNA) retrieved one regulatory transcription factor gene MYB61. Overexpression of MYB61 increased dendrobine levels by more than two-fold in D. catenatum. In short, this work provides an efficient strategy and prospective candidates for the genetic engineering of D. catenatum to produce dendrobine, thereby improving its medicinal value.

Research on the quality markers of antioxidant activity of Kai-Xin-San based on the spectrum-effect relationship.

Background: Kai-Xin-San (KXS) is one of the classic famous traditional Chinese medicine prescriptions for amnesia, which has been applied for thousands of years. Modern pharmacological research has found that KXS has significant therapeutic efficacy on nervous system diseases, which is related to its antioxidant activity. However, the antioxidant material basis and quality markers (Q-makers) of KXS have not been studied. Objective: The objective of this study is to explore the Q-makers of antioxidant activity of KXS based on spectrum-effect relationship. Methods: Specifically, the metabolites in KXS extracts were identified by UPLC-Q-Exactive Orbitrap MS/MS. The fingerprint profile of KXS extracts were established by high-performance liquid chromatography (HPLC) and seven common peaks were identified. Meanwhile, 2, 2-diphenyl-1-picrylhydrazyl (DPPH) test was used to evaluate the free radical scavenging ability of KXS. The spectrum-effect relationship between its HPLC fingerprint and DPPH free radical scavenging activity was preliminarily examined by the Pearson correlation analysis, grey relation analysis (GRA), and orthogonal partial least squares discrimination analysis (OPLS-DA). Further, the antioxidant effect of KXS and its Q-makers were validated through human neuroblastoma (SH-SY5Y) cells experiment. Results: The results showed that 103 metabolites were identified from KXS, and the similarity values between HPLC fingerprint of twelve batches of KXS were greater than 0.900. At the same time, the results of Pearson correlation analysis showed that the peaks 8, 1, 14, 17, 18, 24, 16, 21, 15, 13, 6, 5, and 3 from KXS were positively correlated with the scavenging activity values of DPPH. Combined with the results of GRA and OPLS-DA, peaks 1, 3, 5 (Sibiricose A6), 6, 13 (Ginsenoside Rg1), 15, and 24 in the fingerprints were screen out as the potential Q-makers of KXS for antioxidant effect. Besides, the results of CCK-8 assay showed that KXS and its Q-makers remarkably reduced the oxidative damage of SH-SY5Y cells caused by H2O2. However, the antioxidant activity of KXS was decreased significantly after Q-makers were knocked out. Conclusion: In conclusion, the metabolites in KXS were successfully identified by UPLC-Q-Exactive Orbitrap MS/MS, and the Q-makers of KXS for antioxidant effect was analyzed based on the spectrum-effect relationship. These results are beneficial to clarify the antioxidant material basis of KXS and provide the quality control standards for new KXS products development.

Screening for Q-markers of Antiviral Granules based on neuraminidase inhibitors and Effect-constituent index

BackgroundAntiviral granules (AG) is a classic traditional Chinese medicine commonly employed for influenza treatment. However, there is an urgent need to improve its quality control standards. PurposeThe quality markers (Q-markers), guided by the Effect-constituent Index (ECI), were screened through in vitro and in vivo component identification, molecular docking, and neuraminidase (NA) inhibition experiments. MethodsThe chemical components in AG underwent analysis using UPLC-Q-Orbitrap HRMS and GC–MS, and serum pharmacochemistry was employed to analyze the components absorbed into the bloodstream. Molecular docking was used to evaluate the affinity of the prototype components to NA, and the inhibitory activity of the candidate components was later confirmed through NA inhibitor experiments. Following this, a UHPLC-MS/MS method was developed to screen and quantify the Q-markers in 20 sample batches. Lastly, the ECI was formulated using a multi-index comprehensive evaluation method that combines composition, content, and activity. ResultsA total of 246 compounds were identified in AG, and 89 prototype components and 19 metabolic components were detected in the serum of the rats. Molecular docking revealed that the binding energy of 35 candidate active ingredients was better than that of the original ligand and the target protein. Among these candidate active ingredients, 12 candidate Q-markers demonstrated significant inhibitory effects in NA inhibition experiments, with IC50 values ranging from 0.954 to 3.408 mM. A UHPLC-MS/MS content determination method was established for the quantification of 11 Q-markers, including Forsythiaside A, Pogostone, Verbascoside, Mangiferin, 5-methoxy-8-hydroxypsoralen, Curcumenol, Luteolin-7-glucuronide, Kaempferol-3-O-rutinoside, Baicalin, Rutin, and Bergaptol, in 20 batches of samples. The ECI was calculated based on activity and content of these Q-markers. Pearson's correlation analysis of the NA inhibitory effect of the samples and the ECI resulted in an R value of 0.859, indicating a good correlation. Furthermore, this correlation coefficient surpassed those observed between the content of each Q-marker and the NA inhibitory effect. ConclusionThe Q-markers for treating influenza with AG have been successfully screened, and the ECI of AG has been constructed. These findings will provide beneficial strategies for improving the quality control level of AG.

NIR-hyperspectral imaging and machine learning for non-invasive chemotype classification in Cannabis sativa L

The current public acceptance rate towards medical cannabis feasibility has led to a worldwide increase in this plant species production. Nevertheless, the currently transforming legal framework does not prevent the originally unlawful knowledge around cannabis breeding, which lacks quality control regulations or standards for correct manufacturing processes, a fact that could subsequently lead to uncontrolled and even harmful crop products. In this line, the objective of this work was to develop a non-invasive methodology for cannabis chemotype classification in different cultivars during the plant cultivation process, in order to keep undoubtful production control over cannabis crops. Hence, hyperspectral imaging (HSI), coupled with various multivariate data analysis approaches, such as principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA), enabled the non-invasive in-situ analysis of the plants. Hence, two PLS-DA classification models were trained with the plant spectral data for three chemotypes, based on the cannabinoid content of the plant inflorescences, with the difference between both approaches being the regard of the stem part of the plant as a bias. Thus, obtained sensitivity and specificity values in the inflorescences were 0.845/0.845 for Chemotype I, 0.954/0.920 for Chemotype II, and 0.888/0.925 for Chemotype III. At last, a hierarchical PLS-DA, which considered the stem as a bias, presented an overall 94.7 % trueness in the external validation of 57 different plant individuals, divided as 92.3 % trueness for chemotype I, 100.0 % trueness for chemotype II and 88.9 % trueness for chemotype III. Based on these results, the proof of concept for comprehensive agricultural control of cannabis crops through a non-invasive analytical technique was demonstrated, a previously unproven fact. Therefore, this work could further pave the way for non-invasive technology development for horticultural quality control in medical cannabis productions, as this emerging industry will require strict control over the cannabis chemotypes, with the strong advantage of avoiding destructive and time-consuming analytical techniques such as chromatography.

Validation and Determination of Mercury in Yemeni Common Canned Tuna Using Direct Mercury Analyzer

The presence of Hg in canned tuna flesh is a major source of customer concern. Thus, the primary goal of this investigation was to evaluate total mercury levels in Yemeni canned tuna. Thirty-one samples of seven popular locally canned tuna brands were acquired from local stores in Sana'a. A Direct Mercury Analyzer was used to determine the mercury content. The linearity of the method was tested by assessing a series of mercury standards in triplicates at concentrations ranging from 20 to 500 ppb. The correlation coefficient for this method was 0.9993. The repeatability of the procedure was measured as intra-day variation and given as the relative standard deviation, which did not exceed 4.45%. This indicated the excellent precision of the method. Mercury recoveries from spiked actual canned tuna samples were between 96.61% and 100.49%, demonstrating excellent accuracy and an acceptable procedure for mercury measurement. The limits of detection and quantitation were 1.62 ppb and 5.4 ppb, respectively. The mercury content in 31 canned tuna samples was less than the 500 ppb standard imposed by the Yemeni Organization for Standards Metrology and Quality Control (YSMO).

Evaluating Pfeiffer Circular Chromatography as a Qualitative Methodology of Viscum album Homeopathic Mother Tinctures: A Multicentric Collaborative Project Between Brazil and Switzerland

Viscum album (VA) is a peculiar semiparasitic plant with important role in cancer therapy. The differences in phytochemical composition as well as the influence of host tree in the metabolome of VA subspecies are already described1. Our goal is to use the Pfeiffer Circular Chromatography (PCC) as a qualitative methodology to differentiate V. album mother tinctures (VAMT). The assays were conducted in two countries: Brazil (São Paulo and Rio de Janeiro) and Switzerland (Arlesheim). Three VA subspecies (abietis, album, austriacum) and five host trees (Malus domestica, Quercus sp., Ulmus carpinifolia, Pinus sylvestris, Abies alba) were harvested in Switzerland in summer and winter. The VAMTs were prepared following the Brazilian Homeopathic Pharmacopoeia and the PCC experiments were performed as previously published2. The preliminary analysis and the reproducibility of the three independent assays performed in each experimental set are being evaluated by Image J software. The qualitative standard features will be used to the VAMT differentiation regarding the following PCC characteristics: inner and outer-zones, coloration, size, the presence of radial lines, among others. Besides, the High-Performance Thin Layer Chromatography (HPTLC) was performed as standard quality control methodology using the CAMAG instruments to compare the phytochemical profile of V. album mother tinctures described in the French and German Homeopathic Pharmacopoeias. The samples have been characterized by the compounds retention factor (Rf) compared to the chemical standards (chlorogenic acid, caffeic acid, hyperoside and rutin). They present similar chemical markers when both methodologies were compared but with different intensities between season and host trees. Based on the hypothesis that the PCC patterns could be correlated with the chemical composition of VAMT, this multicentric research project will be useful to propose a low-cost and an easy methodology focused on the quality control parameters of these herbal raw materials.

Searching for Optimal Measurement Parameters by Thermogravimetry for Determining the Degree of Modification of Thermally Modified Wood

When wood is thermally modified, several chemical reactions take place that change the chemical and physical properties of the wood. These changes correlate with the degree of modification, which is mostly a function of the temperature and duration of modification, and consequently with the mass loss during this process. There is a lack of standardised quality control to verify the degree of heat treatment of wood and thus its quality. One of the possible methods to check the degree of thermal modification of a particular type of wood is thermogravimetry (TG). It is based on the assumption that processes that did not take place during thermal modification continue when the TG experiment is carried out. In this method, calibration curves have to be established based on TG measurements of standard samples that have been thermally modified at different temperatures and whose mass loss during modification is known. The calibration curves show the mass loss during the TG measurement as a function of the mass loss during the previous thermal modification. The course of thermal decomposition during the TG measurements is influenced by many parameters, such as the mass of the sample, the heating rate, the atmosphere in which the measurement takes place, and the shape of the crucible in which the sample is placed. In this paper, the influence of these parameters on the calibration curves was investigated. We have focused on oak wood. The best parameters result in a calibration curve with the largest correlation coefficient R2 and the highest slope of the line k. On this basis, we can determine the mass loss during the thermal modification of unknown samples of the same wood species under the same measurement conditions.

Use of continuous genotypes for genomic prediction in sugarcane.

Genomic selection in sugarcane faces challenges due to limited genomic tools and high genomic complexity, particularly because of its high and variable ploidy. The classification of genotypes for single nucleotide polymorphisms (SNPs) becomes difficult due to the wide range of possible allele dosages. Previous genomic studies in sugarcane used pseudo-diploid genotyping, grouping all heterozygotes into a single class. In this study, we investigate the use of continuous genotypes as a proxy for allele-dosage in genomic prediction models. The hypothesis is that continuous genotypes could better reflect allele dosage at SNPs linked to mutations affecting target traits, resulting in phenotypic variation. The dataset included genotypes of 1318 clones at 58K SNP markers, with about 26K markers filtered using standard quality controls. Predictions for tonnes of cane per hectare (TCH), commercial cane sugar (CCS), and fiber content (Fiber) were made using parametric, non-parametric, and Bayesian methods. Continuous genotypes increased accuracy by 5%-7% for CCS and Fiber. The pseudo-diploid parametrization performed better for TCH. Reproducing kernel Hilbert spaces model with Gaussian kernel and AK4 (arc-cosine kernel with hidden layer 4) kernel outperformed other methods for TCH and CCS, suggesting that non-additive effects might influence these traits. The prevalence of low-dosage markers in the study may have limited the benefits of approximating allele-dosage information with continuous genotypes in genomic prediction models. Continuous genotypes simplify genomic prediction in polyploid crops, allowing additional markers to be used without adhering to pseudo-diploid inheritance. The approach can particularly benefit high ploidy species or emerging crops with unknown ploidy.

Quantitative Amyloid‐PET in Real‐World Practice: Lessons from the Imaging Dementia—Evidence for Amyloid Scanning (IDEAS) study

AbstractBackgroundAmyloid‐PET quantification was developed in research settings using highly selected samples, harmonized acquisition protocols, and MRI‐based preprocessing. We aimed to analyze scans from IDEAS, a large‐scale, real‐world study of amyloid‐PET. Major challenges lie in scans being acquired on various PET/PET‐CT/PET‐MR scanners without standardization of acquisition or reconstruction protocols, and without MRI to preprocess data.Method18,295 Medicare beneficiaries with MCI or dementia underwent PET with [18F]florbetapir, [18F]florbetaben, or [18F]flutemetamol at 343 facilities. Sites shared 10,700 raw scans with their visual interpretation (positive or negative) by local radiologists/nuclear medicine physicians. Scans were processed using a PET‐only pipeline, which derives Centiloid based on a cortex‐to‐cerebellum tissue ratio in template space. Processed scans underwent standard visual quality control by 2 raters (Fig 1a‐b), and flagged scans were reviewed in a consensus meeting to discuss troubleshooting options. Injected dose and time between tracer injection and PET acquisition start were obtained from DICOM file header.Result9,963 scans (93%) were successfully pre‐processed with default parameters (Fig 1a) and 403 additional scans (4%) were included after manual intervention (Fig 1c). 339 scans (3%) were excluded because of technical artifacts or major bilateral lesions (Fig 1c). The final sample (n = 10,361) is described in Table 1, with example scans in Fig 1d. Centiloids showed the expected bimodal distribution (Fig 2a) and differentiated visually positive from negative scans (median = ‐2 versus 74 CL; area under the curve = 0.913, Fig 2b). PET acquisition generally followed tracer‐specific FDA recommendations for injected dose and acquisition time, but major variability was observed (Fig 2c). Centiloid values were independent from injected dose but were higher in patients scanned at later time windows for [18F]flutemetamol, resulting from known slow tracer kinetics (Fig 2c).ConclusionMRI‐free, amyloid‐PET quantification in a real‐world setting was feasible, with results conforming to expected distribution of Centiloid values and concordant with visual reads. However, greater standardization of PET acquisition than is currently required by FDA labels will be needed to reliably quantify amyloid PET in clinical practice (e.g., to monitor response to amyloid lowering therapy). The IDEAS dataset will be made available via the Global Alzheimer’s Association Interactive Network in 2023.

Determination and Method Optimization of Lianjie Liyan Compound Mixture

Euchresta japonica, Platycodon grandiflorum, Belamcanda chinensis, and Adenophora tetraphylla are the four medicinal substances that make up the Lianjie Liyan compound mixture, a type of compound preparation for treating throat diseases such as pharyngitis and laryngeal carcinoma. The preparation has been used clinically for a long time and has been proven that it has curative properties in terms of alleviating pain and other symptoms. However, no quality control research on this preparation has been done yet. The pharmacological components in the main quality control standards, including Oxymatrine, matrine, N-methylcytisine, platycoside-D in Platycodon grandiflorum, and irisaxanthin in Shegan, were analyzed to further standardize the clinically rational use of this preparation and prevent the occurrence of adverse reactions and side effects. In this study, the five active components in the mixture were determined concurrently for the first time with the help of Box-Behnken design and response surface approach. The properties of established model showed excellent resolution and sensitivity, good reproducibility and speed, and accurate prediction thanks to the optimization of HPLC measurement conditions. The established approach was precise and trustworthy, and it offered helpful support and references for the construction of the Lianjie Liyan compound mixture as well as for the quality control.

Genome‐wide identification of modifiers of age‐at‐onset for Alzheimer’s disease in African American populations

AbstractBackgroundSeveral studies have attempted to identify genes for age‐at‐onset (AAO) of Alzheimer’s disease (AD) through genome‐wide linkage and genome‐wide association studies (GWAS). While these efforts have thus far focused predominantly on non‐Hispanic white (NHW) populations, we present here the first GWAS to identify genetic contributors to AAO in African Americans (AA) using AA genotype and phenotype data from the Alzheimer’s Disease Genetics Consortium (ADGC).MethodWe combined data from 13 AA prospective and case‐control ADGC datasets, excluding family‐based datasets. Genotype data underwent standard quality control and were imputed to the TOPMed R5 reference panel using the Michigan Imputation Server. Data were merged across cohorts using QCTOOL and GTOOL, filtering out variants with MAF≤0.005). We performed two analyses: case‐only linear mixed‐model regression with AAO as outcome (LMM); and survival analysis using Cox proportional‐hazards frailty modeling (COXPHF) with time‐to‐AD‐onset (AAO in cases and censoring of controls at age‐at‐last‐exam). Both models were adjusted for sex, principal components capturing population substructure, and APOE‐ε4 dosage with a random cohort effect.ResultWe examined 2,262 AA AD cases, including 1,561 females (69%) with mean (SD) AAO of 77.7 (8.1) years. The APOE‐adjusted COXPHF analyses identified twelve genome‐wide significant regions (P<5×10−8), the most significant in ABCA7 (P = 3.57×10−10), known to be associated with AD risk in AAs. In the LMM analysis, we observed strong novel associations with variants in CCDC141 on chr2q31.2 (Pmin = 2.93×10−9). In silico analyses of LD structure and functional potential suggest SESTD1, a gene involved in synaptic regulation, as driving the CCDC141 locus signal. Nine of 12 COXPHF loci were driven by African‐specific variants (MAF<0.0002 in gnomAD Non‐Finish Europeans). These significant loci identified in the AA COXPHF or LMM analyses were not significant (P>0.05) in equivalent analyses in NHW ADGC cohorts (9,220 AD cases/10,350 controls; Li et al. Alz Dement 2023), except for the ABCA7 locus (NHW P<0.0002).ConclusionIn a large ADGC African American dataset, we confirmed AAO associations in the APOE region and ABCA7 and observed evidence for potential novel AD AAO loci including SESTD1; many of which might be African‐ancestry specific.

EVALUASI PEMBOROSAN MESIN JUMBO LOOM BERBASIS PENDEKATAN STATISTICAL PROCESS CONTROL

Continuous quality control along the production line is a crucial factor in achieving high productivity. PT. TRZ is a producer of various types of plastic-based products that implement strict quality control standards. However, it is still found that production targets still need to be achieved due to machine damage. This machine breaks. The company needs to be able to fulfill consumer orders on time. This research aims to evaluate product defects resulting from damage to the Jumbo Loom machine. Statistical process control evaluates factors in cutting machine defects, thread splice marks, and sheet shrinkage. The research results show that the company faces problems regarding machine defects, including machine running, thread splice marks, and shriveled sheets. This research aims to reduce defects in machines. The Seven Tools method is used to make repairs. From the processing results on the control chart, there were daily defects that exceeded the control limits. Therefore, it was carried out using a fishbone diagram. The processing results obtained 23 indicators of the causes of the three types of defects.

Polyphenol-enriched Penthorum chinense Pursh ameliorates alcohol-related liver injury through Ras/Raf/MEK/ERK pathway: Integrating network pharmacology and experiment validation

Ethnopharmacological relevancePenthorum chinense Pursh (PCP) has acknowledged as an edible herbal medicinal plant for the prevention and treatment of alcoholic liver injury (ALI). However, only few of researches focus on the chemical material basis and potential mechanisms of PCP against ALI. Aim of the studyHerein, we explored the therapeutic effects of PCP extract against ALI based on the integration of network pharmacology, molecular docking, and experiment validation. MethodsBased on the standard quality control of PCP herbs by UPLC fingerprint and quantitative determination, 80% ethanol extract fraction of PCP containing more polyphenols, compared to aqueous extract fraction of PCP, were chosen for further experiments. After oral administration of PCP ethanol extract, serum pharmacochemistry based on UPLC-Q-Exactive-MS analysis was implemented to evaluate the potential effective compounds. These absorbed prototypes in PCP were used to construct network pharmacology and predict the potential mechanisms of PCP extract against ALI. Then, the predicted targets and biological mechanisms of PCP extract were validated using animal experiments and molecular docking analysis. ResultsAlthough totally 19 polyphenol compounds were identified in PCP ethanol extract by UPLC-MS analysis, only 18 absorbed prototypes were found in the serum collected from mice at 1 h post-administration with PCP extract. These candidate active compounds were further screened into 13 compounds to construct network pharmacology and 433 targets were identified as PCP targets. GO and KEGG pathway enrichment analyses indicated that the effects of PCP extract would involve in Ras signaling pathway. The animal experiments on chronic ALI model mice shown that the oral administration of PCP can alleviate ALI by attenuating hepatic oxidative stress, inflammation and down-regulating the target proteins in Ras/Raf/MEK/ERK pathway. Molecular docking analysis revealed the good binding ability between the three polyphenols (i.e. quercetin, apigenin, thonningianin B) in PCP with the top contribution in network pharmacology, and these target proteins (Ras, Raf, MEK1/2, and ERK1/2). ConclusionOur results clarified that PCP ethanol extract could effectively alleviate ALI by down-regulating Ras/Raf/MEK/ERK signaling pathway promisingly. Quercetin, apigenin, and thonningianin B may be the active compounds of PCP, attributing to the intervention benefits of PCP against ALI.

Test-the-Test: Clinical Utility of Comprehensive Whole Exome Sequencing and RNA-Seq for Patients with Lymphoma

Introduction Due to the rapidly evolving landscape of targeted therapies, there is an unmet need for comprehensive molecular profiling to guide treatment decisions for patients with lymphoma. To meet this need, we designed a pilot study to assess the feasibility and turnaround time (TAT) of comprehensive whole exome (WES) and whole transcriptome (RNA-seq) sequencing (Tumor Portrait test) in patients with lymphoma for future clinical decision-making (NCT05464823). Here, we present interim results for patients with large B-cell lymphoma (LBCL). Methods Patients ≥18 years of age with histologically documented LBCL requiring therapy were eligible. Formalin-fixed paraffin-embedded tissues underwent WES, RNA-seq, and copy number analysis with concomitant peripheral blood or saliva for germline DNA sequencing. During quality control, samples with <20% tumor purity and median coverage of <142x for tumor and/or <95x for normal samples were labeled as quantity not sufficient (QNS)-qualified. Genomic and transcriptomic data were profiled for alterations and molecular features to uncover clinically relevant biomarkers and match patients with clinical trials using data from ClinicalTrials.gov. Results To date, 48 patients received WES and RNA-seq, and cohort data were analyzed for assay performance. Two samples were excluded from the analysis due to follicular lymphoma and chronic lymphocytic leukemia pathology, and seven samples were excluded as QNS. Reports were delivered for 39 patients, which included 37 clinical reports and two advanced reports lacking treatment and clinical trial information for QNS-qualified samples. While the QNS-qualified samples did not meet quality control standards, some data were still obtained and delivered as partial clinical reports. Of the 39 patients who received clinical reports, 34 samples were evaluable for bioinformatics analysis, and two of these samples had either only RNA-seq or WES data available (total n = 34, Figure 1). Cell of origin (COO), LymphGen (Wright et al. Cancer Cell. 2020), and lymphoma microenvironment (LME; Kotlov et al. Cancer Discov. 2021) classifications were applied to 33 patients. The median TAT was 8 days for advanced report delivery, and 85% of reports had a TAT <10 days. WES identified frequent TP53 (n = 11) and KMT2D (n = 10) loss of function and MYD88 (n = 5) gain of function alterations, as anticipated for LBCL. COOs were assigned as activated (ABC; n = 14, 42%) or germinal center (GCB; n = 19, 58%) LBCL. Using the LymphGen classifier, EZB MYC- (n = 7, 22%), A53 (n = 6, 19%), and MCD (n = 5, 16%) were the most prevalent subtypes. LME classification revealed the majority of samples were mesenchymal (ME; n = 22, 67%). Immune-depleted (DE; n = 6, 18%), immune-inflamed (IN; n = 4, 12%), and germinal center-like (GC; n = 1, 3%) subtypes were less prevalent, but the immune-depleted LME occurred more commonly in patients at relapse. Clinically significant findings, such as DHITsig+ (n = 4) and CARD11 mutations indicative of ibrutinib resistance (n = 3), were identified in 26 of the 39 patients ( Table 1), and an average of 8 clinical trials were identified for potential patient enrollment in each delivered report. Conclusions These data indicated that comprehensive WES and RNA-seq molecular profiling can be performed for lymphoma patients with acceptable TAT. This approach identified significant alterations and classified LBCL samples into previously reported lymphoma subtypes. The clinical reports included clinically relevant findings and matched clinical trials, demonstrating the feasibility of incorporating comprehensive molecular profiling in clinical practice for patients with lymphoma.

1020. A Novel Quality Control Solution for Gram Stain Through Integration of Deep Learning Vision Technology: A Proof-of-Concept

Abstract Background Gram stain (GS) is essential for preliminary bacterial identification. The lack of a standardized quality control method for GS is a significant drawback. By utilizing a deep convolutional neural network (CNN) design, we present a proof-of-concept for a novel solution to GS quality assurance. Using this approach, current manual GS, and potentially automated GS methods, may possess a standardized method of quality control. Methods Twenty-nine GS from positive blood cultures encompassing the spectrum of GS quality (acceptable, over/under decolorization, smear thickness, stain artifact) were selected by two expert microbiologists. A total of 197 images were obtained using a Cognex D-900 camera and Olympus BX-43 microscope at 1000X magnification. Images were classified using deep learning software (Cognex, ViDi Suite 4.1). Eighty-one images were classified as suboptimal and 116 were classified as optimal by expert review. To address background variation due to manual GS, we implemented a screening classification tool to separate images into 5 distinct classes (pale, rose, orange, indigo, variegated). The training and test sets consisted of 100 and 97 images respectively. Using a chaining technique, a second classification tool was added after the screening classification tool. The second tool further divided the 197 images into two dataset classes: optimal and suboptimal. The second tool used 105 images for training and 92 images for the test set. Model performance was compared to expert microbiology review, with GS verified by organism identification using MALDI-TOF. Results Cognex ViDi Suite 4.1 could discriminate between optimal and suboptimal GS images. The chained classification tool was able to be trained with 100% recall and 100% accuracy, with a resulting F-score of 1.00. Figure 1 VisionPro GUI with optimal image (MRSA) Conclusion Deep learning enabled image analysis is an effective method for sorting GS which are acceptable for further interpretation and suboptimal smears which require rework. Additional study is warranted to develop deep learning image analysis tools for the interpretation of GS on multiple specimen types and incorporate into automated GS systems. Disclosures Jane Hata, PhD , D(ABMM), Roche Molecular Systems: Grant/Research Support Kyle Magee, MLS(ASCP), SeluxDx: Employee

Evaluation of the Entrance Surface Doses (ESD) for common diagnostic X-ray examinations

ObjectiveThe purpose of this study was to assess the Entrance Skin Dose (ESD) in patients undergoing multiple types of radiographic examinations across three hospitals in Saudi Arabia. MethodsThe patient ESD was estimated directly using optically stimulated luminesces (OSL) and indirectly using a survey meter and calculations for 100 adult patients undergoing common diagnostic X-ray examinations, including a posterior anterior chest, posterior anterior hand, anterior posterior foot, and anterior posterior knee examinations, in three hospitals in Saudi Arabia. Comparative analysis with national and international reference values was conducted. ResultsOur analyses revealed considerable heterogeneity in X-ray exposure parameters among the hospitals. The mean ESD values for the chest examination were 0.28 ± 0.13 mGy for the direct method and 0.19 ± 0.11 mGy for the indirect method. Hand examination using the direct method resulted in a mean ESD of 0.42 ± 0.15 mGy, while the indirect method yielded 0.23 ± 0.06 mGy. Remarkably, the ESD values in most cases exceeded national and international guidelines, with the knee examination ESD using the direct and indirect methods showing an alarming value of 1.54 ± 0.31 mGy and 1.18 ± 0.21 mGy, respectively. The correlation between direct ESD, indirect ESD showed a strong positive correlation exists between direct ESD and Indirect ESD (r = 0.8, p < 0.001). ConclusionThe study highlights the urgent need for standardized protocols and quality control measures across radiographic facilities in Saudi Arabia. The elevated ESD values signify a critical issue that requires immediate attention to minimize patient radiation exposure while maintaining diagnostic image quality. Quality control tests and adjustments in examination parameters are strongly advised.