{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T11:52:00Z","timestamp":1790596320864,"version":"4.1.0"},"reference-count":43,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2023,8,14]],"date-time":"2023-08-14T00:00:00Z","timestamp":1691971200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Shanxi Province\u2019s 2022\u20132023 Traditional Chinese Medicine Technology Innovation Project","award":["2019-JYB-JS-006"],"award-info":[{"award-number":["2019-JYB-JS-006"]}]},{"name":"Shanxi Province\u2019s 2022\u20132023 Traditional Chinese Medicine Technology Innovation Project","award":["81573542"],"award-info":[{"award-number":["81573542"]}]},{"name":"Shanxi Province\u2019s 2022\u20132023 Traditional Chinese Medicine Technology Innovation Project","award":["81403054"],"award-info":[{"award-number":["81403054"]}]},{"name":"2100601 Traditional Chinese Medicine (Ethnic Medicine) Special Project","award":["2019-JYB-JS-006"],"award-info":[{"award-number":["2019-JYB-JS-006"]}]},{"name":"2100601 Traditional Chinese Medicine (Ethnic Medicine) Special Project","award":["81573542"],"award-info":[{"award-number":["81573542"]}]},{"name":"2100601 Traditional Chinese Medicine (Ethnic Medicine) Special Project","award":["81403054"],"award-info":[{"award-number":["81403054"]}]},{"name":"Beijing University of Chinese Medicine","award":["2019-JYB-JS-006"],"award-info":[{"award-number":["2019-JYB-JS-006"]}]},{"name":"Beijing University of Chinese Medicine","award":["81573542"],"award-info":[{"award-number":["81573542"]}]},{"name":"Beijing University of Chinese Medicine","award":["81403054"],"award-info":[{"award-number":["81403054"]}]},{"name":"National Natural Science Foundation of China","award":["2019-JYB-JS-006"],"award-info":[{"award-number":["2019-JYB-JS-006"]}]},{"name":"National Natural Science Foundation of China","award":["81573542"],"award-info":[{"award-number":["81573542"]}]},{"name":"National Natural Science Foundation of China","award":["81403054"],"award-info":[{"award-number":["81403054"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Molecules"],"abstract":"<jats:p>Internal mildewed nutmeg is difficult to perceive without cutting the nutmeg open and examining it carefully, which poses a significant risk to public health. At present, macroscopic identification and chromatographic analysis are applied to determine whether nutmeg is moldy or not. However, the former relies on a human panel, with the disadvantages of subjectivity and empirical dependence, whilst the latter is generally time-consuming and requires organic solvents. Therefore, it is urgent to develop a rapid and feasible approach for evaluating the quality and predicting mildew in nutmeg. In this study, the quality and odor characteristics of five groups of nutmeg samples with different degrees of mildew were analyzed by using the responses of an electronic nose combined with chemical profiling. The main physicochemical indicators, such as the levels of \u03b1-pinene, \u03b2-pinene, elemicin, and dehydro-di-isoeugenol, were determined. The results revealed that the contents of \u03b1-pinene, \u03b2-pinene, and elemicin changed significantly with the extension of storage time. Through the use of an electronic nose and HS\u2013GC\u2013MS technology to assess the overall odor characteristics of nutmeg samples, it was found that the production of volatile organic compounds (VOCs) such as ammonia\/organic amines, carbon monoxide, ethanol, and hydrogen sulfide, as well as changes in the terpene and phenylpropene components of the nutmeg itself, may be the material basis for the changes in odor. The accuracy of the qualitative classification model for the degree of mildew in nutmeg was higher than 90% according to the electronic nose data combined with different machine learning algorithms. Quantitative models were established for predicting the contents of the chemical components, and models based on a BP neural network (BPNN), the support vector machine (SVM), and the random forest algorithm (RF) all showed good performance in predicting the concentrations of these chemical components, except for dehydro-di-isoeugenol. The BPNN performed effectively in predicting the storage time of nutmeg on the basis of the E-nose\u2019s responses, with an RMSE and R2 of 0.268 and 0.996 for the training set, and 0.317 and 0.993 for the testing set, respectively. The results demonstrated that the responses of the electronic nose (E-nose) had a high correlation with the internal quality of nutmeg. This work proposes a quick and non-destructive evaluation method for the quality of nutmeg, which has high accuracy in discriminating between different degrees of mold in nutmeg and is conducive to early detection and warning of moldy phenomena.<\/jats:p>","DOI":"10.3390\/molecules28166051","type":"journal-article","created":{"date-parts":[[2023,8,14]],"date-time":"2023-08-14T11:07:10Z","timestamp":1692011230000},"page":"6051","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Detection of Mildewed Nutmeg Internal Quality during Storage Using an Electronic Nose Combined with Chemical Profile Analysis"],"prefix":"10.3390","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3887-0197","authenticated-orcid":false,"given":"Yang","family":"Cui","sequence":"first","affiliation":[{"name":"School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuebao","family":"Yao","sequence":"additional","affiliation":[{"name":"School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-1552-1603","authenticated-orcid":false,"given":"Ruiqi","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-1336-980X","authenticated-orcid":false,"given":"Yashun","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-0233-1991","authenticated-orcid":false,"given":"Jingni","family":"Liang","sequence":"additional","affiliation":[{"name":"School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9765-2448","authenticated-orcid":false,"given":"Shaoqin","family":"Ouyang","sequence":"additional","affiliation":[{"name":"School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shulin","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3066-6180","authenticated-orcid":false,"given":"Huiqin","family":"Zou","sequence":"additional","affiliation":[{"name":"School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yonghong","family":"Yan","sequence":"additional","affiliation":[{"name":"School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,8,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1319","DOI":"10.1007\/s12010-022-04132-y","article-title":"Critical Review on Nutritional, Bioactive, and Medicinal Potential of Spices and Herbs and Their Application in Food Fortification and Nanotechnology","volume":"195","author":"Mandal","year":"2023","journal-title":"Appl. Biochem. Biotechnol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"4632","DOI":"10.1002\/ptr.7098","article-title":"Nutmegs and wild nutmegs: An update on ethnomedicines, phytochemicals, pharmacology, and toxicity of the Myristicaceae species","volume":"35","author":"Barman","year":"2021","journal-title":"Phytother. Res."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"177","DOI":"10.3109\/15563650.2011.561210","article-title":"The spice of life: An analysis of nutmeg exposures in California","volume":"49","author":"Carstairs","year":"2011","journal-title":"Clin. Toxicol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1035","DOI":"10.1007\/s11101-016-9469-x","article-title":"Chemical diversity and pharmacological significance of the secondary metabolites of nutmeg (Myristica fragrans Houtt.)","volume":"15","author":"Abourashed","year":"2016","journal-title":"Phytochem. Rev. Proc. Phytochem. Soc. Eur."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.indcrop.2018.12.064","article-title":"Quantification and characterization of volatile constituents in Myristica fragrans Houtt. by gas chromatography-mass spectrometry and gas chromatography quadrupole-time-of-flight mass spectrometry","volume":"130","author":"Zhao","year":"2019","journal-title":"Ind. Crops Prod."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1059","DOI":"10.1080\/10942912.2011.576357","article-title":"Chemical Composition and Antioxidant Activity of Essential Oil and Oleoresins of Nutmeg (Myristica fragrans Houtt.) Fruits","volume":"16","author":"Kapoor","year":"2013","journal-title":"Int. J. Food Prop."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1080\/0972060X.2021.1907230","article-title":"Chemical Composition, Antioxidant and Antimicrobial Activity of Nutmeg (Myristica fragrans Houtt.) Seed Essential Oil","volume":"24","author":"Nikolic","year":"2021","journal-title":"J. Essent.Oil Bear. Plants"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"e12782","DOI":"10.1111\/jfs.12782","article-title":"In vitro antimicrobial effects of Myristica fragrans essential oil on foodborne pathogens and its influence on beef quality during refrigerated storage","volume":"40","author":"Kiarsi","year":"2020","journal-title":"J. Food Saf."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"100781","DOI":"10.1016\/j.fpsl.2021.100781","article-title":"Essential oils as natural antimicrobials for application in edible coatings for minimally processed apple and melon: A review on antimicrobial activity and characteristics of food models","volume":"31","author":"Teixeira","year":"2022","journal-title":"Food Packag. Shelf Life"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"568","DOI":"10.1097\/00007691-200608000-00013","article-title":"Abuse of nutmeg (Myristica fragrans Houtt.): Studies on the metabolism and the toxicologic detection of its ingredients elemicin, myristicin, and safrole in rat and human urine using gas chromatography\/mass spectrometry","volume":"28","author":"Beyer","year":"2006","journal-title":"Ther. Drug Monit."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Gotz, M.E., Sachse, B., Schafer, B., and Eisenreich, A. (2022). Myristicin and Elemicin: Potentially Toxic Alkenylbenzenes in Food. Foods, 11.","DOI":"10.3390\/foods11131988"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"09499","DOI":"10.1016\/j.lwt.2020.109499","article-title":"High-throughput analysis of fungal communities in Myristicae Semen","volume":"128","author":"Jiang","year":"2020","journal-title":"LWT-Food Sci. Technol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1080\/19393210.2016.1210244","article-title":"Mycotoxins, pesticides and toxic metals in commercial spices and herbs","volume":"10","author":"Reinholds","year":"2017","journal-title":"Food Addit. Contam. B"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"106499","DOI":"10.1016\/j.microc.2021.106499","article-title":"Development and optimization of a method based on QuEChERS-dSPE followed by UPLC-MS\/MS for the simultaneous determination of 21 mycotoxins in nutmeg and related products","volume":"168","author":"Zhao","year":"2021","journal-title":"Microchem. J."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"684","DOI":"10.1016\/j.lwt.2018.08.002","article-title":"Sensory metabolites profiling in Myristica fragrans (Nutmeg) organs and in response to roasting as analyzed via chemometric tools","volume":"97","author":"Farag","year":"2018","journal-title":"LWT-Food Sci. Technol."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Wu, Y.X., Yu, J.Z., Li, F., Li, J.L., and Shen, Z.Q. (2020). A Calibration Curve Implanted Enzyme-Linked Immunosorbent Assay for Simultaneously Quantitative Determination of Multiplex Mycotoxins in Cereal Samples, Soybean and Peanut. Toxins, 12.","DOI":"10.3390\/toxins12110718"},{"key":"ref_17","first-page":"428","article-title":"Moldy Rice Detection Method Based on Near Infrared Spectroscopy Image Processing Technology","volume":"42","author":"Wen","year":"2022","journal-title":"Spectrosc. Spect. Anal."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.tifs.2015.08.001","article-title":"Hyperspectral imaging technology for rapid detection of various microbial contaminants in agricultural and food products","volume":"46","author":"He","year":"2015","journal-title":"Trends Food Sci. Technol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1038\/299352a0","article-title":"Analysis of discrimination mechanisms in the mammalian olfactory system using a model nose","volume":"299","author":"Persaud","year":"1982","journal-title":"Nature"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1016\/j.tifs.2018.05.009","article-title":"Dedicated non-destructive devices for food quality measurement: A review","volume":"78","author":"Abasi","year":"2018","journal-title":"Trends Food Sci. Technol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"807","DOI":"10.9755\/ejfa.2017.v29.i10.696","article-title":"Ripening season, ethylene production and respiration rate are related to fruit non-destructively-analyzed volatiles measured by an electronic nose in 57 peach (Prunus persica L.) samples","volume":"29","author":"Su","year":"2017","journal-title":"Emir. J. Food Agric."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"4919","DOI":"10.1002\/fsn3.1788","article-title":"Detection of ripeness grades of berries using an electronic nose","volume":"8","author":"Aghilinategh","year":"2020","journal-title":"Food Sci. Nutr."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"120208","DOI":"10.1016\/j.talanta.2019.120208","article-title":"A modified mid-level data fusion approach on electronic nose and FT-NIR data for evaluating the effect of different storage conditions on rice germ shelf life","volume":"206","author":"Malegori","year":"2020","journal-title":"Talanta"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Xiong, Y.W., Li, Y.H., Wang, C.Y., Shi, H.Q., Wang, S.Y., Yong, C., Gong, Y., Zhang, W.T., and Zou, X.G. (2023). Non-Destructive Detection of Chicken Freshness Based on Electronic Nose Technology and Transfer Learning. Agriculture, 13.","DOI":"10.3390\/agriculture13020496"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Yi, Z.K., and Xie, J. (2021). Prediction in the Dynamics and Spoilage of Shewanella putrefaciens in Bigeye Tuna (Thunnus obesus) by Gas Sensors Stored at Different Refrigeration Temperatures. Foods, 10.","DOI":"10.3390\/foods10092132"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Balivo, A., Cipolletta, S., Tudisco, R., Iommelli, P., Sacchi, R., and Genovese, A. (2023). Electronic Nose Analysis to Detect Milk Obtained from Pasture-Raised Goats. Appl. Sci., 13.","DOI":"10.3390\/app13020861"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"4689767","DOI":"10.1155\/2018\/4689767","article-title":"Organoleptic Evaluation of Amomi Fructus and Its Further Background Verified via Morphological Measurement and GC Coupled with E-Nose","volume":"2018","author":"Xu","year":"2018","journal-title":"Evid.-Based Complement. Altern. Med."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"425341","DOI":"10.1155\/2014\/425341","article-title":"Rapid Identification of Asteraceae Plants with Improved RBF-ANN Classification Models Based on MOS Sensor E-Nose","volume":"2014","author":"Zou","year":"2014","journal-title":"Evid.-Based Complement. Altern. Med."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.foodcont.2017.09.028","article-title":"Discrimination of aflatoxin contamination level in nutmeg by fluorescence fingerprint measurement","volume":"85","author":"Aiyama","year":"2018","journal-title":"Food Control"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1016\/j.foodcont.2018.12.005","article-title":"No more nutmegging with nutmeg: Analytical fingerprints for distinction of quality from low-grade nutmeg products","volume":"98","author":"Silvis","year":"2019","journal-title":"Food Control"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1245","DOI":"10.1016\/S0031-9422(00)84325-3","article-title":"Effects of storage on the volatile composition of nutmeg","volume":"10","author":"Sanford","year":"1971","journal-title":"Phytochemistry"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Matulyte, I., Marksa, M., Ivanauskas, L., Kalveniene, Z., Lazauskas, R., and Bernatoniene, J. (2019). GC-MS Analysis of the Composition of the Extracts and Essential Oil from Myristica fragrans Seeds Using Magnesium Aluminometasilicate as Excipient. Molecules, 24.","DOI":"10.3390\/molecules24061062"},{"key":"ref_33","first-page":"1443","article-title":"Comparison of Essential Oils Obtained from Different Extraction Techniques as an Aid in Identifying Aroma Significant Compounds of Nutmeg (Myristica fragrans)","volume":"10","author":"Chatterjee","year":"2015","journal-title":"Nat. Prod. Commun."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"914758","DOI":"10.3389\/fnut.2022.914758","article-title":"Identification of Nutmeg with Different Mildew Degree Based on HPLC Fingerprint, GC-MS, and E-Nose","volume":"9","author":"Yang","year":"2022","journal-title":"Front. Nutr."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.mimet.2016.07.004","article-title":"Detection of volatile metabolites of moulds isolated from a contaminated library","volume":"128","author":"Micheluz","year":"2016","journal-title":"J. Microbiol. Methods"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.fgb.2013.02.005","article-title":"Volatile profiles of fungi\u2014Chemotyping of species and ecological functions","volume":"54","author":"Muller","year":"2013","journal-title":"Fungal Genet. Biol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"4304376","DOI":"10.1155\/2018\/4304376","article-title":"Application of Machine Learning Techniques for Clinical Predictive Modeling: A Cross-Sectional Study on Nonalcoholic Fatty Liver Disease in China","volume":"2018","author":"Ma","year":"2018","journal-title":"BioMed Res. Int."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"e12623","DOI":"10.1111\/jfs.12623","article-title":"Evaluation of wheat kernels infected by fungi of the genus Fusarium based on morphological features","volume":"39","author":"Ropelewska","year":"2019","journal-title":"J. Food Saf."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"68","DOI":"10.17660\/eJHS.2015\/80.2.4","article-title":"Assessment of germination rate of the tomato seeds using image processing and machine learning","volume":"80","author":"Skrubej","year":"2015","journal-title":"Eur. J. Hortic. Sci."},{"key":"ref_40","first-page":"2842780","article-title":"Parallelizing Backpropagation Neural Network Using MapReduce and Cascading Model","volume":"2016","author":"Liu","year":"2016","journal-title":"Comput. Int. Neurosci."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1016\/j.snb.2003.10.028","article-title":"Classification of milk by means of an electronic nose and SVM neural network","volume":"98","author":"Brudzewski","year":"2004","journal-title":"Sens. Actuators B"},{"key":"ref_42","unstructured":"Ho, T.K. (1995, January 14\u201316). Random decision forests. Proceedings of the 3rd International Conference on Document Analysis and Recognition, Montreal, QC, Canada."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/0003-2670(86)80028-9","article-title":"Partial Least-Squares Regression: A Tutorial","volume":"185","author":"Geladi","year":"1986","journal-title":"Anal. Chim. Acta"}],"container-title":["Molecules"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1420-3049\/28\/16\/6051\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T20:33:15Z","timestamp":1760128395000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1420-3049\/28\/16\/6051"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,14]]},"references-count":43,"journal-issue":{"issue":"16","published-online":{"date-parts":[[2023,8]]}},"alternative-id":["molecules28166051"],"URL":"https:\/\/doi.org\/10.3390\/molecules28166051","relation":{},"ISSN":["1420-3049"],"issn-type":[{"value":"1420-3049","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8,14]]}}}