Publications by authors named "Jianghao Sun"

Unlabelled: Diet is a complex exposure that affects health across the lifespan. Objective biomarkers that can reliably reflect intake of nutrients, foods, and dietary patterns with sufficient accuracy are an important tool for assessing associations of diet with health outcomes. Advances in metabolomics, coupled with feeding trials and high-dimensional bioinformatics analyses, pave the way for discovering compounds that can serve as sensitive and specific biomarkers of dietary exposures.

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One of the main obstacles to indoor agriculture is the high expense of lighting energy. The purpose of this study was to investigate how to grow broccoli microgreens under low light with higher yield and better quality. Broccoli seedlings were exposed to different photosynthetic photon flux densities (PPFD) ranging from 50 to 150 μmol/m s, along with supplemental far-red (FR) light (20% of total photon flux density (TPFD)) at 50 and 75 μmol/m s.

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Background: High-performance thin-layer chromatography (HPTLC) is widely used for the identification and quality assessment of botanical supplements. However, traditional interpretation methods are subjective, and variability between plates hinders reproducibility and inter-plate comparisons.

Objective: This study aimed to enhance the reproducibility and analytical utility of HPTLC by digitizing chromatograms and applying chemometric preprocessing to cranberry dietary supplement analysis.

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Chemical compositions of the allspice water and ethanol extracts were characterized using UPLC-HRMS/MS. A total of 20 compounds were tentatively identified, with 12 reported for the first time in allspice. Both extracts dose-dependently inhibited the binding of SARS-CoV-2 spike protein to ACE2.

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Light intensity is a crucial factor impacting the cost-efficiency of controlled environment agriculture (CEA). Broccoli microgreens were cultivated under different photosynthetic photon flux densities: 50, 100, and 150 μmol•m•s with white light-emitting diodes (LEDs), and an additional far-red (FR) light supplement (20% of total photon flux density) at the 50 μmol•m•s intensity. This study examines how low light intensity influences the chemical profile and glucosinolate accumulation in broccoli microgreens through both nontargeted and targeted metabolomics with molecular networking analysis.

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Pre-trained models trained with internet-scale data have achieved significant improvements in perception, interaction, and reasoning. Using them as the basis of embodied grasping methods has greatly promoted the development of robotics applications. In this paper, we provide a comprehensive review of the latest developments in this field.

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Article Synopsis
  • Glucosinolates, found in Brassica vegetables, are difficult to separate due to their anionic nature and the presence of other compounds, like phenolic compounds.
  • This study compared the separation of seven glucosinolates using a mixed-mode chromatographic column versus a standard C18 column, finding better separation with the mixed-mode method.
  • The optimized mixed-mode technique identified 17 glucosinolate peaks and 34 phenolic peaks in broccoli microgreens, showing its effectiveness for analyzing complex plant samples.
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  • This study developed a method to identify dietary intake biomarkers through a non-targeted metabolomic approach, specifically using metabolic pathway and network analysis.
  • The method was tested on pig fecal samples, revealing significant differences in metabolite profiles between control and fruit/vegetable diet groups, with specific flavonoids identified as potential biomarkers.
  • The findings suggest that this integrative approach can effectively discover and predict fecal biomarkers, and it holds promise for further applications in human clinical research regarding dietary effects.
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This study evaluated the fruits of (Lianqiao), an important economic crop, for the chemical components of its water and ethanol extracts, inhibitory effects on SARS-CoV-2 virus spike protein binding to ACE2, inhibition of ACE2 activity, and capacity to scavenge free radicals. A total of 42 compounds were tentatively identified in the extracts via HPLC-MS/MS analysis. The water extract showed a greater ACE2 inhibition but a weaker inhibition on SARS-CoV-2 spike protein binding to ACE2 than the ethanol extract on a per-botanical-weight-concentration basis.

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Article Synopsis
  • Turmeric is a perennial plant from the Zingiberaceae family, traditionally used in food and now being studied for its health benefits.
  • The study identified eight compounds in an ethanol extract of turmeric and tested its effectiveness against various bacteria, finding that higher concentrations of turmeric significantly inhibited bacterial growth.
  • The extract also demonstrated strong free radical scavenging abilities, indicating its potential use in functional foods to combat microbial and oxidative stress-related health issues.
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Far-red (FR) light influences plant development significantly through shade avoidance response and photosynthetic modulation, but there is limited knowledge on how FR treatments influence the growth and nutrition of vegetables at different maturity stages in controlled environment agriculture (CEA). Here, we comprehensively investigated the impacts of FR on the yield, morphology, and phytonutrients of ruby streaks mustard (RS) at microgreen, baby leaf, and flowering stages. Treatments including white control, white with supplementary FR, white followed by singularly applied FR, and enhanced white (WE) matching the extended daily light integral (eDLI) of FR were designed for separating the effects of light intensity and quality.

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Glucosinolates (GLSs) are a well-studied sulfur-containing compound found in plants that play critical roles in plant resistance and human health. Correctly identifying and reliably quantifying the total and individual GLS content is of great importance. An improved method as an alternative to the ISO 9167-1 (ISO) method is developed in the present study.

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The water and ethanol extracts of huangqin, the roots of Georgi. with potential antiviral properties and antioxidant activities, were investigated for their chemical profiles and their abilities to interfere with the interaction between SARS-CoV-2 spike protein and ACE2, inhibiting ACE2 activity and scavenging free radicals. A total of 76 compounds were tentatively identified from the extracts.

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The effects of anthocyanin's substitution groups on the UV-Vis molar absorptivity were examined by analyzing a group of 31 anthocyanidin/anthocyanin reference standards with ultra-high performance liquid chromatography-diode array detector (UHPLC-DAD). The substitution groups on aglycones were found to associate with molar absorptivity variations, often neglected in anthocyanin quantitation, resulting in significant analytical errors. A simple yet comprehensive strategy based on the molar relative response factors (MRRFs) and a single master reference calibration (i.

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Water and ethanol extracts of dried thyme () were analyzed for chemical composition, inhibition of the SARS-CoV-2 spike protein-ACE2 interaction, inhibition of ACE2 activity, and free radical scavenging capacity. Thirty-two compounds were identified in water extract (WE) and 27 were identified in ethanol extract (EE) of thyme through HPLC-MS. The WE (33.

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This study evaluated the chemical composition of rosemary water extract (RWE) and its influence on mechanisms by which the SARS-CoV-2 virus enters into cells as a potential route for reducing the risk of COVID-19 disease. Compounds in RWE were identified using UHPLC-MS/MS. The inhibitory effect of RWE was then evaluated on binding between the SARS-CoV-2 spike protein (S-protein) and ACE2 and separately on ACE2 activity/availability.

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The differential metabolite profiles of four wild and ten cultivated soybeans genotypes were explored using an untargeted metabolomics approach. Ground soybean seed samples were extracted with methanol and water, and metabolic features were obtained using ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-HRMS) in both positive and negative ion modes. The UHPLC-HRMS analysis of the two different extracts resulted in the putative identification of 98 metabolites belonging to several classes of phytochemicals, including isoflavones, organic acids, lipids, sugars, amino acids, saponins, and other compounds.

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Article Synopsis
  • The study analyzes the chemical properties of honeysuckle extracts, both water and ethanol, focusing on their ability to inhibit the binding of SARS-CoV-2 spike protein to ACE2 and their effects on ACE2 activity.
  • The research identifies 36 compounds in honeysuckle extracts, ten of which were previously unknown, highlighting their complex chemistry.
  • Results indicate that honeysuckle extracts could potentially lower the risk of SARS-CoV-2 infection and severity of COVID-19 symptoms, with water extracts showing stronger effects than ethanol extracts in specific assays.
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Anthracnose is a widespread plant disease caused by various species of the fungal pathogen Colletotrichum. In solanaceous plants such as tomato (Solanum lycopersicum), Colletotrichum infections exhibit a quiescent, asymptomatic state in developing fruit, followed by a transition to necrotrophic infections in ripe fruit. Through analysis of fruit tissue extracts of 95L368, a tomato breeding line that yields fruit with enhanced anthracnose resistance, we identified a role for steroidal glycoalkaloids (SGAs) in anthracnose resistance.

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Cinnamon ( J. Presl) bark and its extracts are popular ingredients added to food and supplement products. It has various health effects, including potentially reducing the risk of coronavirus disease-2019 (COVID-19).

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American ginseng ( L.) has been recognized as a valuable herb medicine, and ginsenosides are the most important components responsible for the health-beneficial effects. This study investigated the secondary metabolites responsible for the differentiation of wild and cultivated American ginsengs with ultrahigh-performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS)-based metabolomic approach.

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COVID-19 is initiated by binding the SARS-CoV-2 spike protein to angiotensin-converting enzyme 2 (ACE2) on host cells. Food factors capable of suppressing the binding between the SARS-CoV-2 spike protein and ACE2 or reducing the ACE2 availability through ACE2 inhibitions may potentially reduce the risk of SARS-CoV-2 infection and COVID-19. In this study, the chemical compositions of clove water and ethanol extracts were investigated, along with their potentials in suppressing SARS-CoV-2 spike protein-ACE2 binding, reducing ACE2 availability, and scavenging free radicals.

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The dynamic and static error motions dramatically influence the accuracy of five-axis machine tools. We propose a new approach of reverse identification for dynamic and static motion error of five-axis machine tools through specimen cutting and feature decomposition. The error mapping between the workpiece features and the corresponding errors is established, and a feature specimen is designed accordingly.

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Mass spectrometry (MS)-based techniques have been extensively applied in food and agricultural research. This review aims to address the advances and applications of MS-based analytical strategies in nontargeted and targeted analysis and summarizes the recent publications of MS-based techniques, including flow injection MS fingerprinting, chromatography-tandem MS metabolomics, direct analysis using ambient mass spectrometry, as well as development in MS data deconvolution software packages and databases for metabolomic studies. Various nontargeted and targeted approaches are employed in marker compounds identification, material adulteration detection, and the analysis of specific classes of secondary metabolites.

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