Food Science Commons^™

Research Progress On Effect Of Salt On Pickling Vegetable Quality, Qi Kai, Li Ziyan, Cheng Wenbo, Fan Mingcong, Zuo Daoxi, Li Yan, Wang Li, Zhang Wenbin

Food and Machinery

Vegetable pickling is a time-honored food preservation and processing method, in which salt (primarily sodium chloride) plays an irreplaceable and core role. This paper systematically reviews the multidimensional effects of curing salt on vegetable quality. It comprehensively covers preservation mechanisms, textural transformations, the formation and conversion of flavor compounds, color stability, and nutritional value changes. Specifically, this article analyzes the decisive role of salt concentration gradients in final product characteristics. Furthermore, it examines the challenges posed by the low salinity, including microbial safety risks, textural deterioration, and flavor imbalances, while proposing corresponding strategies.

Research Progress In The Extraction And Purification Processes And Biological Activities Of Flavonoids From Cuscutae Semen, Li Renxin, Xiong Ying, Song Hui

Food and Machinery

Cuscutae Semen is a Chinese herbal medicine and a raw material for health foods in China, with flavonoids being a group of its main functional components. This article provides a systematic review of the extraction and purification techniques - reflux, ultrasonic, Soxhlet, microwave-assisted, flash, enzymatic hydrolysis, and supercritical CO2 extraction methods - of flavonoids from Cuscutae Semen. Furthermore, it elaborates on the biological activities such as reproductive protection, anti-tumor effect, anti-oxidative stress effect, liver and kidney protection, and immune regulation of flavonoids from Cuscutae Semen, as well as their related mechanisms. Moreover, this paper makes an outlook on the development …

Shrimp Freshness Indicator Film Based On Grape Seed Proanthocyanidin/Curcumin, Li Wenjing, Wang Hui, He Mingxing

Food and Machinery

[Objective] To develop a shrimp freshness indicator film with good amine responsiveness and stability for the rapid and non-destructive detection of shrimp quality changes. [Methods] Using sodium carboxymethyl cellulose and starch as film-forming substrates, indicator films were prepared with grape seed proanthocyanidins, curcumin, and their mixtures as indicators. The responses of the three indicator films to aqueous solution pH and trimethylamine were compared. The detection sensitivity and storage stability of the mixed indicator film were further evaluated. The indicator film was then applied to monitor the freshness of Litopenaeus vannamei, and the correlation and kinetics between total volatile basic nitrogen …

Extraction Process Optimization Of Dunaliella Spp. Protein And Its Physicochemical Properties, Wang Xiaochen, Zhang Wei, Jing Yongkang, Xing Fengjie, Zhang Guodong, Zheng Xin

Food and Machinery

[Objective] Using Dunaliella spp. powder as the raw material, to explore the effect of pH value, alkali dissolution temperature, alkali dissolution time, and solid-liquid ratio on Dunaliella spp. protein extraction. [Methods] The optimal conditions are screened by single-factor experiments. Response surface experiments are designed by the Box-Behnken method to determine the optimal extraction process parameters for Dunaliella spp. protein with the Dunaliella spp. protein extraction rate as the indicator. Additionally, the group composition, secondary structure, amino acid composition, and functional properties of Dunaliella spp. protein are determined. [Results] The optimal extraction process conditions for Dunaliella spp. protein is pH 10.54, …

Research Progress On Plant-Derived Metal Ion Chelating Peptides, Pei Hanzhe, Zhao Hongfei, Zhou Jiahua, Zhang Bolin, Chen Yonghao

Food and Machinery

Mineral element deficiency can cause many health problems. Traditional metal element supplements have many shortcomings. Food-derived metal element supplements have gradually become a research hotspot. Plant-derived polypeptides have significant advantages in terms of cost and raw material sources. Chelating peptides formed by chelating metal ions with plant-derived polypeptides have the physiological activity of peptides and the functional characteristics of metal elements, which makes them relatively ideal nutritional supplements, showing broad development prospects. This paper collects relevant research reports at home and abroad, and sorts out the preparation process, chelation mechanism and characteristics, and biological activity of plant-derived metal ion chelating …

Heat Transfer Analysis And Packaging Optimization Design Of Self-Heating Rice, Sun Haowen, Li Huan, Wu Xiaomeng, Mao Like

Food and Machinery

[Objective] To further understand the influence of the heat transfer process on the quality of self-heating foods and improve the heating rate of existing self-heating rice products. [Methods] A combination of virtual simulation and experimental methods was used to analyze the actual temperature variations during the heating process of self-heating rice and the effects of heat transfer on rice texture. A three-dimensional heat transfer model of self-heating rice was established using COMSOL software to investigate the heat transfer process, and the packaging design of self-heating rice was optimized with the objective of maximizing the heating rate. [Results] After reheating and …

Innovative Application Of Intangible Cultural Heritage Narrative Design In Agricultural Food Packaging, Chen Yanan, Chen Bingyan

Food and Machinery

cultural distinctiveness in current agricultural food packaging, this study puts forward an innovative approach to promote the upgrade of agricultural food packaging from functional consumption to cultural consumption through intangible cultural heritage (ICH) narrative design. In terms of methodology, the value of ICH narrative in food packaging is first analyzed, followed by the proposal of a design pathway encompassing three aspects: ICH content selection and story construction, narrative graphic and layout design, and material and process selection, with interactive experience being strengthened by integrating technologies such as the Internet of Things (IoT) and augmented reality (AR). In terms of application …

Optimization Of Gemifloxacin Immediate-Release Tablets Using Quality By Design, Jong Woo Kim, Hyun Bon Kang, Yeun Hee Kim, Kang Min Kim

Journal of Food and Drug Analysis

The objective of this study is to determine the design space (DS) for a dissolution-enhanced gemifloxacin immediate-release (IR) tablet incorporating hydroxypropyl-β-cyclodextrin (HPCD) for improved solubility, utilizing a quality by design (QbD) approach. Based on the preliminary studies, hardness, friability, disintegration time, assay, content uniformity, and dissolution rate were identified as the critical quality attributes (CQAs) for optimization. Through the initial risk assessment, crospovidone, main compression force, and the amount of granulating fluid were identified as factors influencing the CQAs, and a 2³ + 3 full factorial design of experiments (DoE) was conducted for optimization. According to the analysis of variance …

Plant By-Products As A Valuble Source Of Natural Antiglycemic Compounds: Economic Aspects And Alternative Raw Material Sources, Tatjana Đorđević, Jelena Vujetić, Isidora Dickov, Diandra Pintać Šarac

Journal of Food and Drug Analysis

Plant by-products, often considered as waste in various agricultural and food processing industries, have emerged as a valuable source of natural antidiabetic or antihyperglycemic compounds. These compounds, derived from plant materials that would otherwise be discarded, have the potential to mitigate the global burden of diabetes and offer sustainable solutions for glycemic control. Prominent groups of natural antidiabetic compounds found in plant by-products are polyphenols, as well as bioactive proteins and peptides. In addition, agro-industrial residues such as wheat bran, oat husks, and fruit peels are excellent sources of carbohydrates that can be incorporated into functional foods to help manage …

Emerging Antifungal Strategies Against Candida Albicans Using Metal–Organic Frameworks And Novel Therapeutics: Opportunities And Challenges, Amanpreet Singh, Sandeep Kumar, Sehrabpreet Singh, Jeewanjot Singh

Journal of Food and Drug Analysis

Candida albicans is an opportunistic fungal pathogen responsible for infections ranging from superficial mucosal disease to life-threatening systemic candidiasis, particularly in immunocompromised hosts. Its pathogenicity is enhanced by morphological plasticity, biofilm formation, and immune evasion, contributing to antifungal resistance. Limitations of existing antifungals have driven interest in emerging therapeutics. This review highlights strategies including metal–organic frameworks (MOFs), host-directed therapies (HDTs), CRISPR-Cas9 gene editing, and phytochemicals. MOFs offer high drug-loading capacity, controlled release, and enhanced penetration into biofilms, showing promise against drug-resistant strains. Selected phytochemicals demonstrate inhibitory effects on virulence traits such as hyphal formation and enzyme secretion. CRISPR-Cas9 …

An Optical Fiber Caffeine Sensor Using A Molecularly Imprinted Polymethacrylic Acid Membrane Coated On Optical Fiber Surface As A Transducer, Josiah W. Miller, Jason D. Mccaslin, Shiquan Tao

Journal of Food and Drug Analysis

Caffeine is a neurotransmitter, important to human health. This compound exists in many food products, has been added to soft drinks, pharmaceutical drugs. For many applications, a field deployable technique for quick detecting caffeine is attractive. In this paper, we report a selective optical fiber caffeine sensor using a molecularly imprinted polymer (MIP) membrane as a transducer. The membrane extracts/concentrate caffeine from sample solutions significantly improved sensor’s sensitivity with a 95 times sensitivity improvement. The sensor achieved a detection limit of 0.20 µg/mL. This sensor was used to directly analyze caffeine in soft drink products without interference from sample matrix.

Black Soil Organic Carbon Plays A Critical Role In Ensuring Food Security, Zhang Xingyi, Qingsong Shen, Mingming Guo, Na Li, Qiang Chen, Wei Hu, Jianye Li, Yimin Chen, Yansheng Li, Xiaobin Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Carbon-rich Black Soils are an important natural resource ensuring China’s food security, and their soil carbon stocks are closely related to grain production capacity. Based on nearly two decades of regional survey data and long-term field experiments, this study systematically investigated the dynamics of soil organic matter (SOM), its response relationship with crop productivity, and strategies for soil fertility improvement. The results showed that soil carbon stocks in the topsoil (0–20 cm) of the Black Soil region in Northeast China have declined by approximately 60%. In 2019, the regional average SOM content was approximately 36 g/kg and was decreasing at …

Comparison Of Methods For Defatted Human Milk And Nutrient Composition: An Experimental Study, Kristin Cheng, Gina O'Toole, Stephanie Chang, Richard Chang, John Miklavcic

Food Science Faculty Articles and Research

Background

Human milk is considered the gold standard for infant nutrition; however, it is often discontinued in chylothorax and severe very long-chain acyl-CoA dehydrogenase (VLCAD) deficiency. As an alternative to complete human milk restriction, defatted human milk may be fed, though it may not fully support optimal infant growth and development. This study aimed to assess the micronutrient profile of defatted human milk.

Methods

Human milk was obtained from UCSD Human Milk Research Biorepository (San Diego, CA). Thirty samples representing 10 independent expressions in the morning, afternoon, and evening were pooled for analysis. Fat removal was performed by centrifugation at …

Prediction Model Of Green Grape Water Loss Rate Based On Multi-Model Soft Voting Fusion, Fan Gai, Jing Min, Ji Feng, Ma Maosen, Yao Xiaomin

Food and Machinery

[Objective] This study aims to achieve rapid and non-destructive detection of the water loss rate in green grapes, control losses, and ensure quality. Based on an LED-induced fluorescence spectroscopy system, a prediction method combining collected spectral data with a multi-model soft voting fusion approach was proposed for green grape water loss rate estimation. [Methods] Spectral data from 100 green grape samples were collected. Preprocessing was performed using multivariate scatter correction (MSC), standard normal variate transformation (SNV), normalization, and Savitzky–Golay (SG) filtering. Feature wavelength selection was carried out using the successive projections algorithm. Based on this, prediction models for the green …

Effect Of Extraction Methods On Emulsifying Properties Of Corn Fiber Gum, Wu Chenglong, Ren Ying, Li Xingguo, Tang Leiming, Sun Xiaohong

Food and Machinery

[Objective] To investigate the influence of three extraction methods (alkaline, enzymatic, and acidic) on the emulsification characteristics of corn fiber gum (CFG). [Methods] Corn bran was used as the raw material, and CFG was extracted using sodium hydroxide, xylanase, and formic–acetic acid–water solutions. The changes in particle size, zeta potential, rheological properties, creaming index, appearance, and microstructure of CFG emulsions were measured. [Results] All three CFG emulsions exhibited shear-thinning behavior, with viscosities decreasing as the shear rate increased. The enzymatically extracted CFG emulsion had the highest viscosity, best gel properties, smallest particle size [(751.6 ± 22.5) nm], highest absolute zeta …

Strategy For Linear Range Broadening Of Elisa Based On Antibody Synergistic Combination, Guo Cuili, Peng Juan, Lai Weihua, Xing Keyu, Gan Bei

Food and Machinery

[Objective] To broaden the linear range of ELISA for deoxynivalenol detection. [Methods] This paper obtains three antibodies with different sensitivities via mouse immunization, cell fusion and screening, ascites preparation, and antibody purification. By optimizing the working concentration and composition ratio of the antibody synergistic combination, the optimal antibody synergistic combination ratio is applied to ELISA to determine the linear range. [Results] The optimal reaction conditions for the ic-ELISA based on synergistic antibodies are as follows: the optimal working concentrations of the coating antigen and antibody are 0.3 and 0.1 μg/mL, respectively. The linear range of the synergistic antibody is obviously …

Evaluation And Improvement Of Method For Uncertainty In The Determination Of Lead In Tea By Icp-Ms, Sun Yingze

Food and Machinery

[Objective] To evaluate the uncertainty in the determination of lead in tea by inductively coupled plasma–mass spectrometry (ICP-MS) and to improve the method so as to enhance the quality of the analytical results. [Methods] Based on the mathematical model and the experimental procedure, the sources of uncertainty components were analyzed and combined. [Results] When the lead content in tea was 0.346 mg/kg, the expanded uncertainty was 0.026 mg/kg at a 95% confidence level (k = 2). After method improvement, the combined relative standard uncertainty decreased from 0.038 to 0.019, and the expanded uncertainty decreased from 0.026 mg/kg to 0.013 mg/kg. …

Quantitative Analysis Of Sorghum Starch Using Machine Learning And Near-Infrared Spectroscopy, Li Ke, Ouyang Runkun, Dai Yijie, Li Jie, Hou Aixiang, Yang Yu, Li Zongjun

Food and Machinery

[Objective] To establish a model for the rapid quantification of sorghum starch based on near-infrared spectroscopy and machine learning algorithms. [Methods] Brewing sorghum was used as the raw material. Near-infrared diffuse reflectance spectra were collected using a near-infrared spectrometer. The Isolation Forest algorithm was employed to remove outlier samples and optimize the dataset. Subsequently, multiple preprocessing methods and regression models were compared using various modeling software to analyze and establish a quantitative model for sorghum starch. [Results] After preprocessing with the Isolation Forest algorithm, the partial least squares regression (PLSR) model exhibited the best performance, with a coefficient of determination …

An Ai-Driven Safety Traceability And Monitoring System For Food Cold Chain, Zeng Xiaoqing, Zhang Yuyue, Xie Wenqing, Zhou Jianhua

Food and Machinery

Targeting the three major obstacles—information fragmentation, delayed risk response, and ambiguous accountability—in food cold chain safety governance, this study constructs an integrated cold chain safety traceability and monitoring system centered on artificial intelligence technology and incorporating the Internet of Things and blockchain. On the basis of a comprehensive risk analysis of the entire food cold chain process, and drawing on theoretical frameworks including supply chain resilience theory, information asymmetry theory, HACCP, and ISO 22000 food safety standards, this study designs a system architecture organized around five functional modules: multi-source data collection and traceability, dynamic food quality assessment, risk prediction and …

Terminal Control Method Of Parallel Food Sorting Robot With Multi-Algorithm Fusion, He Qing, Wu Tianfeng, Zhao Yini

Food and Machinery

[Objective] To address the problems of low trajectory tracking accuracy, delayed dynamic response, poor adaptability to external disturbances, and difficulty in meeting the requirements of high-speed and high-precision food sorting in the existing end-effector control of parallel food sorting robots. [Methods] A food sorting system based on a DELTA parallel robot was developed, and an end-effector control strategy integrating an improved whale optimization algorithm, adaptive fuzzy control, and nonsingular fast terminal sliding mode control was designed. Adaptive fuzzy control was used to adjust the output gain in real time to enhance controller tracking accuracy. The improved whale optimization algorithm was …