Journal of Food and Drug Analysis最新文献

{"title":"Effect of cosmetic whitening ingredients' lipophilicity on melanocyte cytotoxicity: A systematic review.","authors":"Lord Sam B Liston, Zach Uriel Cabije, Enrico John Belleza, Catherine Ortega, Mark Niño Melgo, Vanbeth Camson, Sabrina Dahlizar, Pajaree Sakdiset, Gea Abigail Ecoy, Gerard Lee See, Florencio Arce","doi":"10.38212/2224-6614.3577","DOIUrl":"10.38212/2224-6614.3577","url":null,"abstract":"<p><p>Tyrosinase is an enzyme involved in the early stages of melanin synthesis. Melanin, which gives skin its pigment, is the most targeted molecule in the development of skin-whitening cosmetic products. Consequential risks of chemically induced skin diseases are associated with the usage of skin-whitening products that contain tyrosinase-inhibiting compounds. Currently, products containing tyrosinase inhibitors on the market lack collective analysis of their toxicity on melanocytes. Moreover, national regulatory agencies (e.g., FDA) place the burden of ensuring the safety of whitening products on manufacturers, risking bias and selective reporting. In fact, the ASEAN Cosmetic Directive does not include more than half of the 'novel' whitening agents currently on the market. This review describes the relationship of lipophilicity of cosmetic whitening ingredients (CWI) with melanocyte cytotoxicity. A systematic search of databases using the phrase (((Skin Whitening) OR (Skin Brightening) OR (Skin Lightening) OR (Skin Bleaching)) AND ((Melanocyte Cytotoxicity) OR (Cytotoxicity) OR (Cytotoxic Effect)) AND Mechanism)) was carried out. Data such as the assay and medium used, mechanism of action, cLogP, and cell viability were extracted from the 11 articles in the study. The cell viability data and respective concentration used for the MTT assays were used to calculate the IC50 values of each CWI using the drc-R package in R. The identified CWIs were categorized by their respective lipophilicity; subsequently, linear regression analysis was conducted. It was revealed that the cLogP of the CWIs was able to exhibit a moderate positive correlation between IC50 values (R² = 0.3263; m = 57.85). Lipophilic CWIs also exhibit moderate direct relationships between the variables (R² = 0.3535; m = 83.36). However, for hydrophilic CWIs (R² = 0.00021; m = -3.263), only a weak negative correlation exists, but the effect is negligible and not significant (p-value >0.05; 0.8537). Out of the 18 identified CWIs, 7 were found to be potentially toxic (IC50 value <50 ug/mL); however, only hydroquinone is officially classified under the ASEAN Cosmetics Ingredient List (ACIL) to be banned in skin cosmetic products. The results of this study suggest that cytotoxicity is potentially influenced by cLogP and may also be attributed to other characteristics such as molecular structure, solubility, and cell line interaction. In addition, this study emphasizes the necessity for current safety regulations and guidelines and further investigation of in vitro safety data pertinent to human applications.</p>","PeriodicalId":358,"journal":{"name":"Journal of Food and Drug Analysis","volume":"34 2","pages":"117-135"},"PeriodicalIF":3.3,"publicationDate":"2026-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13391007/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148560456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Novel oral delivery system using modified inulin for enhanced liver cancer therapy.","authors":"Sung-Ling Tang, Yu-Ju Lai, Wei-Cheng Lin, Meng-Yi Bai, Yu-Chi Wang","doi":"10.38212/2224-6614.3579","DOIUrl":"10.38212/2224-6614.3579","url":null,"abstract":"<p><p>Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related deaths worldwide. Although advanced oral anticancer drugs, such as sorafenib and lenvatinib, are available for treating HCC, their effectiveness is limited by significant side effects and the requirement for optimal liver function, restricting their broader use. Furthermore, these drugs cannot be used in combination, leading to suboptimal treatment outcomes. This study introduces a novel therapeutic approach by repurposing two existing drugs, niclosamide and disulfiram, as a combination therapy to treat HCC. Despite their known anticancer properties, these drugs face challenges such as high lipophilicity and a significant first-pass effect, resulting in low bioavailability. To overcome this limitation, we used chemically modified inulin fibers as oral carriers to enhance drug absorption and protect the drugs from the acidic gastric environment. We compared the efficacy of this system across two HCC cell lines-HepG2 (from a Caucasian patient) and Huh6 (from an Asian patient)-to explore how genetic and ethnic variations impact sensitivity to the proposed therapeutic approach. Our findings indicate that the proposed inulin oral delivery approach improves drug efficacy both in vitro and in vivo. Moreover, our comparative study underscores the importance of considering ethnic and genetic diversity in designing effective cancer therapies. Overall, the proposed oral delivery system can potentially reduce the need for invasive procedures, lower infection risks, and minimize patient discomfort by avoiding the need for intravenous administration, while improving treatment outcomes.</p>","PeriodicalId":358,"journal":{"name":"Journal of Food and Drug Analysis","volume":"34 2","pages":"136-147"},"PeriodicalIF":3.3,"publicationDate":"2026-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13391013/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148560511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Can semaglutide influence tumor biomarkers? Insight from a clinical case.","authors":"Alice Schianchi, Fabio Mauri, Christian Polli","doi":"10.38212/2224-6614.3594","DOIUrl":"10.38212/2224-6614.3594","url":null,"abstract":"<p><p>To our knowledge, this is the first case reported in literature, regarding an increase in tumoral biomarkers during a treatment with Semaglutide. A 61-year-old patient was referred to our gynecological consultation due to suspected adnexal cysts following an MRI performed for a functional defecation disorder. The patient was on Semaglutide treatment. Gynecological examination and transvaginal ultrasound were normal, with no evidence of adnexal cysts. Tumor biomarker testing revealed a significant increase in CA 19-9 and a mild elevation in CA-125. In an asymptomatic patient, these findings raised suspicion of a possible neoplastic origin involving the pancreas or biliary tract. However, all further investigations yielded normal results. At a follow-up laboratory check one month later, CA 19-9 levels had decreased from 717 to 62 kU/L. A subsequent evaluation two months later confirmed the normalization of tumor biomarkers. Despite the elevation of CA19-9 during pancreatitis, which could be induced by Semaglutide, it is important to recognize that not all patients will experience this side effect. Moreover, an increase in tumor biomarkers can occur even in the absence of a clinically detectable disease, such as pancreatitis or cancer. Further research is needed to explore the potential relationship between Semaglutide and elevated CA 19-9 or CA-125 levels.</p>","PeriodicalId":358,"journal":{"name":"Journal of Food and Drug Analysis","volume":"34 2","pages":"172-175"},"PeriodicalIF":3.3,"publicationDate":"2026-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13391009/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148560514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial distribution: Effect of oxygen availability on gut microbiota adhesion and colonization.","authors":"Ruixue Ding, Xiaotong Sun, Yinan Wang, Binbin Tu, Yue Liang, Qi Lin, Fuqiang Zhao","doi":"10.38212/2224-6614.3592","DOIUrl":"10.38212/2224-6614.3592","url":null,"abstract":"<p><p>The gut microbiota plays a crucial role in host digestion and immune regulation; however, most existing research relies on fecal sampling, leaving uncertainty regarding whether fecal microbiota can accurately reflect the symbiotic microbial components at distinct gut sites. To address this gap, this study employed 16S rRNA gene sequencing to systematically analyze the microbial composition of three spatial compartments in the rat colon: luminal contents, mucus layer, and epithelial tissue. The results revealed notable differences in microbial communities across the three compartments. The luminal contents, which were closely associated with the fecal microbiota, exhibited high microbial abundance, encompassing gram-positive bacteria, gram-negative bacteria, aerobic bacteria, and obligate anaerobes. By contrast, the mucus layer and epithelial tissue were predominantly enriched in gram-negative bacteria and obligate anaerobes, with a marked scarcity of aerobic bacteria. Further analysis indicated that the ACE and Chao1 indices were significantly higher in mucus samples than in luminal samples, whereas tissue samples showed reduced richness but relatively stable diversity. Additionally, Proteobacteria were rarely detected in the lumen but were significantly enriched in the mucus and tissue. These findings suggest that the oxygen content in the intestinal lumen is significantly higher than that of the host-derived mucus layer and epithelial tissue and that this oxygen gradient drives the spatial partitioning of the gut microbiota. Collectively, this study clarifies the spatial distribution characteristics of the gut microbiota and highlights oxygen availability as a key factor in regulating microbial adhesion and colonization.</p>","PeriodicalId":358,"journal":{"name":"Journal of Food and Drug Analysis","volume":"34 2","pages":"148-158"},"PeriodicalIF":3.3,"publicationDate":"2026-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13391017/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148560506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The evolution of DESI-MSI: A comprehensive look at preprocessing and quantification strategies for metabolomics.","authors":"Cheng-Hung Yang, Hung-Yao Ho, Chen-Yu Chang, Mei-Ling Cheng","doi":"10.38212/2224-6614.3583","DOIUrl":"10.38212/2224-6614.3583","url":null,"abstract":"<p><p>Mass spectrometry imaging (MSI) has become an indispensable tool in metabolomics for visualizing the spatial distribution of biomolecules within tissues. Due to its direct, ambient analysis capability, desorption electrospray ionization (DESI-MSI) has evolved from a rapid screening tool into a precise and reliable quantitative platform. We delve into its technical principles and particularly review the criticality of sample preprocessing, highlighting the paradigm shift from a \"no-preprocessing\" approach to one of \"optimized preprocessing.\" The paper details how factors like sample preservation, choice of embedding agents, washing, drying, and on-tissue chemical derivatization all impact data quality. We also discuss how the addition of standards and internal standards can mitigate matrix effects and signal variability, enabling accurate quantitative analysis. Finally, this article looks ahead to the future of DESI-MSI, including its combination with emerging technologies such as tissue expansion mass spectrometry imaging to achieve single-cell-level spatial resolution and open up new possibilities for metabolomics research.</p>","PeriodicalId":358,"journal":{"name":"Journal of Food and Drug Analysis","volume":"34 1","pages":"55-67"},"PeriodicalIF":3.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13391012/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148560471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applications of nuclear magnetic resonance spectroscopy in pediatric clinical metabolomics: From research to future perspectives.","authors":"Chieh-Ni Kuo, Meng-Han Chiang, Hsien-Ju Lee, Yu-Ying Yu, Eric Yi-Liang Shen, Chih-Yung Chiu","doi":"10.38212/2224-6614.3574","DOIUrl":"10.38212/2224-6614.3574","url":null,"abstract":"<p><p>Metabolomics studies small-molecule metabolites to provide insights into health and disease, supporting early diagnosis and personalized medicine. Advances in mass spectrometry and nuclear magnetic resonance (NMR) have expanded its use in metabolic, cancer, and cardiovascular diseases. In pediatrics, high-resolution NMR metabolomics has been instrumental in identifying age-related metabolic changes during early childhood and their associations with growth, nutrition, and disease risk. However, a comprehensive review of its clinical applications and future potential remains limited. This review highlights how utilizing specific NMR pulse sequences, such as CPMG and NOESY, allows for precise and non-destructive metabolic profiling of diverse biofluids, supported by minimal sample preparation and high-throughput automated analysis. Data processing tools like NMRProcFlow and MetaboAnalyst facilitate spectral preprocessing, statistical analysis, and biological interpretation, streamlining metabolomics workflows. Clinically, NMR-based metabolomics has elucidated metabolic alterations in pediatric growth, prematurity, nutrition-related sensitizations, allergic diseases, lipid metabolism, infectious conditions, and neurobehavioral disorders. In particular, metabolomics has been applied to identify specific metabolic signatures underlying the molecular mechanisms of childhood allergic asthma. Despite limitations in detecting low-abundance metabolites, NMR's ability to preserve sample integrity and integrate multi-omics data, especially gut microbiota-derived metabolites, shows great promise in advancing precision pediatric medicine, early disease screening, and personalized therapeutic strategies.</p>","PeriodicalId":358,"journal":{"name":"Journal of Food and Drug Analysis","volume":"34 1","pages":"68-77"},"PeriodicalIF":3.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13391010/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148560344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metabolomics of per- and polyfluoroalkyl substances (PFAS) exposure: Advances in LC-MS technology and applications.","authors":"Yu-Meng Wang, Pei-Chen Lin, Yu-Da Zheng, Pin-Shiuan Wu, Kuo-Tai Hua, Sung-Fang Chen","doi":"10.38212/2224-6614.3575","DOIUrl":"10.38212/2224-6614.3575","url":null,"abstract":"<p><p>Per- and polyfluoroalkyl substances (PFAS) are a class of synthetic chemicals known for their high stability and bioaccumulation potential, leading to their widespread presence in the environment and human tissues. Exposure to PFAS has been associated with significant health concerns, including neurotoxicity, hepatotoxicity, and metabolic disturbances. Liquid chromatography-mass spectrometry (LC-MS) based metabolomics has emerged as a powerful and central tool for PFAS research, enabling the comprehensive analysis of metabolic changes induced by exposure. This review provides a critical summary of the applications of LC-MS metabolomics in both clinical studies and various experimental models, including in vivo models (mice) and in vitro systems (cell cultures and zebrafish embryos). We highlight key findings from these studies, specifically focusing on the identification of altered metabolic pathways (e.g., lipid, amino acid, and purine metabolism) and the discovery of specific metabolic biomarkers. Furthermore, we explore the intricate interconnections among these metabolic perturbations, which collectively provide a clearer picture of PFAS toxicological effects. By integrating systematic experimental design with advanced LC-MS techniques, PFAS metabolomics offers invaluable insights into the molecular-level responses to exposure, helping to elucidate toxicological mechanisms and identify specific metabolic biomarkers. The findings synthesized in this review are crucial for supporting a more standardized approach to risk assessment and for informing evidence-based public health policies related to PFAS monitoring and regulation.</p>","PeriodicalId":358,"journal":{"name":"Journal of Food and Drug Analysis","volume":"34 1","pages":"31-44"},"PeriodicalIF":3.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13391000/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148560492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metabolomics in precision medicine: Application and prospect in cancer research.","authors":"Ming-Shi Shiao","doi":"10.38212/2224-6614.3584","DOIUrl":"10.38212/2224-6614.3584","url":null,"abstract":"<p><p>Metabolomics is the most recent and final discipline among the post-genomic, multiomics fields. It encompasses key technologies in systems biology, providing an overview of low-molecular-weight metabolites while examining disturbances to offer pathophysiological explanations. The two key analytical tools in metabolomics are nuclear magnetic resonance spectroscopy and mass spectrometry, which includes gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry. Metabolomic research relies on a three-stage data generation process: the first stage involves precise analytical chemistry to produce data; the second stage employs multivariate statistical analysis; and the last stage uses big data as a reference for comparison to establish biochemical, metabolic, and pathophysiological correlations, thereby providing possible interpretations. The initiative of precision medicine starts with cancer as the first disease target. This review discusses and illustrates the application of metabolomics in precision medicine, choosing two types of cancer as example. Warburg effect and metabolic reprogramming are particularly discussed. By providing global, top-down, and less biased information, metabolomics enables precision medicine.</p>","PeriodicalId":358,"journal":{"name":"Journal of Food and Drug Analysis","volume":"34 1","pages":"20-30"},"PeriodicalIF":3.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13391008/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148560463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mass spectrometry-based metabolomics for studying gut microbiota-derived metabolites in biological samples.","authors":"Ya-Ting Lin, Huai-Hsuan Chiu, Chih-Ning Cheng, Ching-Hua Kuo","doi":"10.38212/2224-6614.3568","DOIUrl":"10.38212/2224-6614.3568","url":null,"abstract":"<p><p>Gut microbiota produces a wide range of metabolites and plays a critical role in maintaining host health. Dysregulation of these metabolites can influence host metabolism through systemic circulation, contributing to the development of various diseases, including immunological, neurological and cancer-related disorders. Chromatography coupled with mass spectrometry (MS) has emerged as a powerful analytical approach, offering high sensitivity and resolution for studying gut microbiota-related metabolites. This review provides a comprehensive overview of chromatographic MS-based methods applied to the study of the gut microbial metabolome. We summarize strategies for sample collection, storage, and preparation of commonly analyzed sample types, including feces, plasma/serum, urine, and tissue samples. In addition, we included the main chromatographic MS-based approaches, as well as data analysis techniques, for investigating the gut microbial metabolome. The characteristics and utility of liquid chromatographicmass spectrometry (LC-MS), gas chromatographic-mass spectrometry (GC-MS), and capillary electrophoresis-mass spectrometry (CE-MS) were discussed in the context of providing broader coverage of gut microbiota-derived metabolites with diverse physicochemical properties. Finally, we summarize recent studies that have employed chromatographic MS-based approaches to investigate gut microbiota-related disease. Through the integration of appropriate sample handling and advanced analytical strategies, a deeper understanding of host-microbiota interactions and their roles in health and disease can be achieved.</p>","PeriodicalId":358,"journal":{"name":"Journal of Food and Drug Analysis","volume":"34 1","pages":"2-19"},"PeriodicalIF":3.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13391014/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148560413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Systematic verification of saliva-based biosignatures for oral cancer via targeted metabolomics.","authors":"Ya-Ju Hsieh, Yu Chang, Chi Yang, Nai-Hsuan Teng, Jau-Song Yu, Kai-Ping Chang, Wen-Chen Chen, Lichieh Julie Chu, Yi-Ting Chen","doi":"10.38212/2224-6614.3586","DOIUrl":"10.38212/2224-6614.3586","url":null,"abstract":"<p><p>Oral squamous cell carcinoma (OSCC) remains a major global health challenge, and early detection is essential for improving patient outcomes. To identify reliable salivary biomarkers, we performed a targeted metabolomics study using ¹³C₂/¹²C₂-dansylation, integrating candidate metabolites from published OSCC metabolomics datasets and systematically verifying them through LC-MRM-MS. A panel of 26 metabolites was quantified in saliva samples from 299 subjects, including healthy controls (n = 98), oral potentially malignant disorders (OPMD I, n = 50; OPMD II, n = 53), and OSCC patients (n = 98). Among these, cadaverine, N-acetylcadaverine, choline, glycine, and tryptophan were significantly dysregulated across disease groups. Cadaverine, N-acetylcadaverine and choline were consistently elevated in OSCC and showed progressive increases with disease stages, whereas glycine levels declined. A four-metabolite panel (cadaverine, N-acetylcadaverine, choline, glycine) demonstrated strong diagnostic performance in distinguishing OSCC from healthy controls (AUC = 0.91). Correlation analyses further revealed coordinated regulation among polyamine-related metabolites, suggesting a reprogramming of ornithine-polyamine metabolism in OSCC progression. In conclusion, we establish a verified salivary metabolite panel with high discriminatory power for OSCC detection. These findings highlight polyamine-associated metabolic alterations as a hallmark of malignant transformation in the oral cavity and support salivary metabolomics as a clinically accessible tool for non-invasive screening and risk stratification.</p>","PeriodicalId":358,"journal":{"name":"Journal of Food and Drug Analysis","volume":"34 1","pages":"88-103"},"PeriodicalIF":3.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13391002/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148560490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}