| Literature DB >> 30255161 |
Kazuhiro Kobayashi1, Masaharu Tanaka1, Soichi Tanabe2, Yoichi Yatsukawa1, Mitsuru Tanaka1,2, Takuya Suzuki3.
Abstract
Recently, a number of consumers have begun to appreciate more natural ingredients and have become less willing to consume monosodium glutamate (MSG) as a seasoning. By measuring stable isotope ratios (δ13C and δ15N) of glutamic acid contained in foodstuffs and MSG used as seasoning, we attempted to distinguish between both using elemental analyzer-isotope-ratio mass spectrometry (EA/IRMS) and gas chromatography/combustion/IRMS (GC/C/IRMS). As a result, seasoning MSG was observed to have a lower δ15N value than glutamic acid in foodstuffs. We statistically analyzed the stable isotope ratio data using canonical discriminant analysis, thereby differentiating seasoning MSG from foodstuff-derived glutamic acid at an accuracy of 96.7%. This method is effective for distinguishing glutamic acid in foodstuffs from seasoning MSG.Entities:
Keywords: Food analysis
Year: 2018 PMID: 30255161 PMCID: PMC6148710 DOI: 10.1016/j.heliyon.2018.e00800
Source DB: PubMed Journal: Heliyon ISSN: 2405-8440
13C and δ15N of glutamic acid in foodstuff and seasoning MSG. All isotopic data are averages of repeated measurements (n = 3). The HVP (hydrolyzed vegetable protein) and HAP (hydrolyzed animal protein) samples were hydrolyzed in advance.
| Group | Sample | Country of purchase | δ13C (‰) | δ15N (‰) |
|---|---|---|---|---|
| C3 plants | Soy bean No. 1 (HVP) | Japan | −24.1 | −0.8 |
| Soy bean No. 2 (HVP) | Japan | −22.9 | 2.0 | |
| Soy bean No. 3 (HVP) | Japan | −24.0 | −0.1 | |
| Soy bean No. 4 (HVP) | the United States | −21.5 | 1.0 | |
| Soy bean No. 5 | Japan | −25.2 | −1.0 | |
| Tomato No. 1 | Japan | −27.3 | 6.4 | |
| Tomato No. 2 | Japan | −27.2 | −1.2 | |
| Tomato No. 3 | Japan | −26.8 | 4.6 | |
| Potato, beet No. 1 (HVP) | Japan | −26.0 | 1.5 | |
| Potato, beet No. 2 (HVP) | Japan | −26.0 | 0.5 | |
| Wheat flour No. 1 (HVP) | Japan | −23.4 | 2.4 | |
| Wheat flour No. 2 | Japan | −25.2 | 0.5 | |
| Broccoli | Japan | −26.6 | 2.1 | |
| Chinese cabbage | Japan | −23.6 | −2.4 | |
| Soy bean, wheat flour (HVP) | the United States | −25.5 | −1.0 | |
| Spinach | Japan | −23.5 | 5.0 | |
| Tea leaf | Japan | −22.7 | 0.5 | |
| C4 plants | Corn No. 1 (HVP) | Japan | −12.7 | −2.8 |
| Corn No. 2 (HVP) | Japan | −13.1 | −3.2 | |
| Corn No. 3 (HVP) | Japan | −12.6 | −0.2 | |
| Corn No. 4 (HVP) | Japan | −13.5 | 3.7 | |
| Corn No. 5 (HVP) | Japan | −13.0 | 2.2 | |
| Corn No. 6 (HVP) | the United States | −14.0 | −2.2 | |
| Corn No. 7 | Japan | −10.5 | 1.7 | |
| Corn No. 8 | Japan | −10.9 | −3.1 | |
| Kelp | Makombu ( | Japan | −10.3 | 4.8 |
| Makombu ( | Japan | −12.6 | 5.9 | |
| Rausu kombu ( | Japan | −10.0 | 8.8 | |
| Rausu kombu ( | Japan | −11.1 | 7.7 | |
| Rishiri kombu ( | Japan | −9.6 | 8.0 | |
| Rishiri kombu ( | Japan | −10.4 | 4.0 | |
| Hidaka kombu ( | Japan | −12.0 | 8.3 | |
| Marine products | Argentine red shrimp ( | Japan | −14.1 | 26.4 |
| Sakura shrimp ( | Japan | −14.0 | 20.0 | |
| Whiteleg shrimp ( | Japan | −16.8 | 14.6 | |
| Big-eyed tuna ( | Japan | −14.0 | 29.0 | |
| Pacific flying squid ( | Japan | −16.2 | 22.1 | |
| Sardine | Japan | −14.6 | 12.6 | |
| Sardine, skip jack, tuna (HAP) | Japan | −12.4 | 19.7 | |
| Scallop | Japan | −16.7 | 11.2 | |
| Skip jack (HAP) | Japan | −12.1 | 23.5 | |
| Yellow tail | Japan | −15.3 | 23.8 | |
| Mushrooms | Brown mushroom ( | Japan | −19.5 | 17.1 |
| Elingi mushroom ( | Japan | −19.5 | 2.5 | |
| Shiitake mushroom ( | Japan | −22.6 | 2.8 | |
| Shimeji mushroom ( | Japan | −19.1 | 2.9 | |
| Livestock products | Beef | Japan | −14.6 | 14.9 |
| Chicken | Japan | −13.1 | 1.3 | |
| Lamb meat | Japan | −24.4 | 14.3 | |
| Pork | Japan | −13.0 | 1.6 | |
| Cheddar cheese | Japan | −12.3 | 8.3 | |
| Gouda cheese | Japan | −16.2 | 9.6 | |
| Processed cheese | Japan | −18.1 | 5.2 | |
| MSG (C3 plants) | MSG No. 1 | Hungary | −28.5 | −2.7 |
| MSG No. 2 | India | −29.1 | −4.8 | |
| MSG No. 3 | India | −28.7 | −5.3 | |
| MSG No. 4 | Thailand | −26.1 | −6.6 | |
| MSG No. 5 | Thailand | −29.0 | −6.1 | |
| MSG No. 6 | Vietnam | −26.2 | −2.5 | |
| MSG (C4 plants) | MSG No. 7 | Brazil | −13.3 | −6.3 |
| MSG No. 8 | Brazil | −12.4 | −6.6 | |
| MSG No. 9 | China | −11.7 | −8.8 | |
| MSG No. 10 | China | −12.3 | −7.4 | |
| MSG No. 11 | China | −12.3 | −8.4 | |
| MSG No. 12 | China | −12.5 | −8.3 | |
| MSG No. 13 | China | −12.4 | −6.5 | |
| MSG No. 14 | China | −12.8 | −5.6 | |
| MSG No. 15 | China | −12.3 | −9.3 | |
| MSG No. 16 | China | −11.8 | −9.9 | |
| MSG No. 17 | China | −12.0 | −6.3 | |
| MSG No. 18 | Japan | −15.6 | −4.2 | |
| MSG No. 19 | Japan | −16.0 | −3.9 | |
| MSG No. 20 | Japan | −10.9 | −9.6 | |
| MSG No. 21 | Japan | −10.1 | −9.3 | |
| MSG No. 22 | Japan | −10.7 | −9.0 | |
| MSG No. 23 | Japan | −15.0 | −6.3 | |
| MSG No. 24 | Japan | −15.2 | −6.0 | |
| MSG No. 25 | Japan | −13.3 | −6.6 | |
| MSG No. 26 | Japan | −14.7 | −4.6 | |
| MSG No. 27 | Mexico | −11.3 | −8.7 | |
| MSG No. 28 | Thailand | −12.7 | −8.1 | |
| MSG No. 29 | Thailand | −12.3 | −9.4 | |
| MSG No. 30 | Thailand | −11.6 | −7.8 | |
| MSG No. 31 | Thailand | −12.1 | −7.1 | |
| MSG No. 32 | the United States | −15.3 | −5.1 | |
| MSG No. 33 | the United States | −14.1 | −7.1 | |
| MSG No. 34 | Vietnam | −16.7 | −6.0 | |
| MSG No. 35 | Vietnam | −14.8 | −6.2 | |
| MSG No. 36 | Vietnam | −15.1 | −4.9 | |
| MSG No. 37 | Vietnam | −15.0 | −4.8 |
Fig. 1GC/C/IRMS chromatograms on nitrogen isotope analysis of amino acid solution extracted from MSG reagent and foodstuff samples: (1) MSG reagent, (2) Tomato, (3) Rausu kombu, and (4) Beef.
Fig. 2δ13C and δ15N value from glutamic acid in foodstuffs and seasoning MSG.
Canonical discriminant analysis details using the δ13C and δ15N values from glutamic acid in foodstuffs and seasoning MSG. Eigenvalue, contribution, cumulative contribution and canonical correlations in Function 1 and 2 are shown. More details are provided in the results section.
| Function 1 | Function 2 | |
|---|---|---|
| Eigenvalue | 1.587 | 0.392 |
| Contribution (%) | 80.2 | 19.8 |
| Cumulative contribution (%) | 80.2 | 100.0 |
| Canonical correlations | 0.783 | 0.531 |
Fig. 3Canonical discriminant plot using δ13C and δ15N values from glutamic acid in foodstuffs and seasoning MSG. Eigenvalue, contribution, cumulative contribution and canonical correlations in Function 1 and 2 are shown. More details are provided in the results section.