2. Reports of AF Distribution in Different Commodities in China
Mycotoxin contamination is a prevailing problem in China, and it is complicated by China’s export of several agricultural products to the EU and the USA. Several studies have reported the presence of AFs in agricultural products such as cereals, peanuts, spices, milk, and animal feeds that originate from China. Several Chinese medicines have also been found to contain mycotoxigenic fungi as well as their toxins. AF contamination reported in different commodities from China from 2001 to 2020 is summarized in the tables below.
2.1. Cereals Crops
Cereals, mainly, maize, sorghum, wheat, and rice, are the most AF-vulnerable crops. A number of authors in different countries, mainly Africa and Asia, have reported AF contamination of these crops.
Table 1 lists AF contamination reported in different cereal and cereal-based food products. The main food items reported to contain AFs were maize, wheat, oats, and rice and their processed products, which were collected from almost all parts of the country. The majority of the food samples tested positive for AFs. The prevalence and incidence of AF contamination are generally higher in maize.
2.2. Peanuts, Pine Nuts, Nuts, Oils, and Other Oil Products
Table 1. Aflatoxin contamination in cereal and cereal-based foods reported in China.
Province |
Crops |
Origin |
Period |
Test |
Detection Limit (µg/kg) |
Mycotoxin |
Total Samples |
Incidences (%) |
Range of Positive Samples/Maximum Value (µg/kg) |
Mean ± SEM of Positive Samples/Mean (μg/kg) |
Level of Contamination above Chinese Regulatory Limit (%) (µg/kg) |
References |
2.2. Peanuts, Pine Nuts, Nuts, Oils, and Other Oil Products
Table 2 lists a variety of AF-contaminated commodities, such as peanuts, walnuts, pine nuts, peanut butter, sesame paste, peanut oil, vegetable oil, sunflower oil, fish oil, and maize oil, that were collected from every part of China.
2.3. Chinese Herbal Medicines (CHMs), Spices, Tea, Fruits, and Vegetables
Table 2. Aflatoxin contamination in peanut, pine nut, walnut, other oil seeds and oil reported in China.
Province |
Crops |
Origin of Sample |
Period |
Analytical Method |
Detection Limit (µg/kg) |
Mycotoxin |
Total Samples |
Incidences (%) |
Range of Positive Samples/Maximum Value (µg/kg) |
Mean ± SEM of Positive Samples/Mean (μg/kg) |
Level Contamination above Chinese Regulatory Limit (%) |
References |
43]. EU countries have also established stringent standards, such as commission regulation (EC) No. 165/2010, which sets the maximum limits of AFB1 for dried fruits and spices in the range of 2 to 5 μg/kg and total AFs between 4 and 10 μg/kg.
Table 3 summarizes updated data for AF contamination in herbal medicines, spices, fruits, and vegetables in China.
2.4. Animal Feed and Dairy Products
Table 3. Aflatoxin contamination in Chinese herbal medicine, spices, tea, fruits and vegetables reported in China.
Province |
Product |
Origin of the Sample |
Study Year |
Analytical Method |
Mycotoxin |
Detection Limit (µg/kg) |
Total Samples (n) |
Incidences (%) |
Range of Positive Samples/Maximum Value (µg/kg) |
Mean ± SEM of Positive Samples/Mean (μg/kg) |
Level Contamination above Chinese Regulatory Limit (%) |
References |
1.5 ± 0.07 |
2.4. Animal Feed and Dairy Products
Table 4 lists AFs that were detected in feeds and dairy products collected from different parts of China and shows that the prevalence of AFs in both feedstuffs and dairy products is high. However, the levels of most of these toxins are far below China’s maximum limits for feeds and dairy products.
Table 4. Aflatoxin contamination of animal feeds, and dairy products reported in China.
Province |
Product |
Year |
Origin of the Sample |
Analytical Method |
Mycotoxin |
Detection Limit (µg/kg) |
Total Samples (n) |
Incidences (%) |
Range of Positive Samples/Maximum Value (µg/kg) |
Mean ± SEM of Positive Samples/Mean (μg/kg) |
Level Contamination above Chinese Regulatory Limit (%) (µg/kg or L) |
References |
Ten provinces (Heilongjiang, | Farmer stores |
2003 |
HPLC |
|
AFs |
73 |
97 |
- |
0.99 |
All < 20 |
[28] |
Twelve provinces, including Liaoning, Shandong, Henan, Hebei, Jiangsu, Anhui, Jiangxi, Hubei, Hunan, Guangdong, Guangxi, and Fujian |
Inner Mongolia Beijing, Tianjin Ningxia, | Peanut with pod |
From farm |
2011/2012 |
HPLC |
3:1 for LOD |
AFB1 |
1040 |
25 |
0.01–720 |
2.13 |
1% beyond Chinese regulation (20) and 3.7% above EU regulation (2) |
Hebei, Shanxi, | [39 |
Eleven districts of Guangzhou |
Tea |
Household supply retail shops |
2019/2020 |
HPLC |
AFB1 |
0.1 |
128 |
Shandong, North | 17.9 |
Shanghai, Guangdong, South) |
Dairy cow feeds | 0.25~4.0 |
0.36 ± 0.62 |
|
2013 | [36] |
Dairy farms |
HPLC |
AFB1 |
|
200 |
42 |
0.05–3.53 |
0.31 |
Whole grain rice |
16 |
100 |
- |
3.87 |
] |
<10 |
[ | 52 | ] |
Liaoning |
AFB2 | Peanut |
| From farm and storage |
2015 |
HPLC |
0.2 for AFB1; 0.05 for AFB2; 0.2 for AFG1; 0.05 for AFG2 |
AFB1 |
200 |
36 |
0.03–0.84 | 408 |
3.19 |
0.15–116.64 |
0.43 ± 6.23 |
- |
0.14 |
- |
Brown rice |
37 |
97 |
- |
0.88 |
[ | 26 | ] |
AFB2 |
3.68 |
0.05–27.36 |
0.11 ± 1.50 |
AFB1 + AFB2 |
|
200 |
24.5 |
0.05–3.53 |
0.34 |
724 - |
A.flavus | species isolated |
>95% |
32% (229) atoxigenic |
10.4% atoxigenic strains found to have lost | aflR, fas-1 and aflJ genes |
51% S-type (229) 34% L- type (229)15% NS (229) |
[88] |
Heilongjiang |
Rice |
Farmer stores, granaries, and markets |
2009–2011 |
AFG1 |
0.25 |
Milk | 3.61 | DLLME HPLC |
|
AFs |
0.01 ± 0.18 |
Dairy farms |
ELISA |
AFM1 | 62 |
69 |
0.033–0.17 |
0.062 ± 0.042 |
All < 20 |
[29] |
0.005 |
14 provinces |
Peanut pod |
1106 | 200 |
32.5% |
5.2–59.6 ng/L |
0.0153 |
<0.5 |
|
2013 |
265 Aspergillus spp. |
262 (98.9%) |
18.8% A.flavus atoxigenic |
38.0% atoxigenic strains lost nor-1, ver-1, aflR, omtA genes |
- |
[89] |
Liaoning |
30 |
96.7 |
ND |
AFG2 |
0.74 | ND |
0.27–1.15 |
0.00 ± 0.06 |
Beijing |
Feed and feedstuffs |
2012 |
Animal farms |
2015 |
257 Aspergillus | HPLC |
AFB1 |
- |
22 |
spp. |
254 (98.8%) |
50 |
59 |
Jilin |
59 |
40 |
Total AF |
4.900.030–0.98 |
0.12 ± 0.25 |
0.05–144.00 |
0.55 ± 7.80 |
Guangdong |
138 |
53 |
0.19–4.1 |
0.44 ± 0.90 |
Guangxi |
67 |
81 |
0.032–21 |
1.3 ± 3.7 |
Hainan |
14 |
93 |
0.032–0.71 |
10.23 ± 0.32 |
Heilongjiang |
LOQ = 0.009 |
AFB1 |
62 |
69.3 |
0.033–0.14 |
0.058 ± 0.034 |
Liaoning |
30 |
97 |
<LOQ |
Henan |
Anhui, Fujian, Gansu, Guangdong, Guizhou, Hubei, Shanxi, Xinjiang, Yunnan, Zhejiang |
Traditional Chinese medicines (TCM) |
Herbal market |
2019/2020 |
HPLC |
AFB1 |
0.012–1.3 |
48 |
70.8 |
0.12–3.05 |
|
All < 5 |
[44] |
AFB2 |
0.43–0.5 |
|
AFB1 limit 2–10, AF’s ; 4–20 (Chinese AFB1 ≤ 5 ; AFs ≤ 10) |
AFG1 |
ND–0.85 |
|
AFG2 |
0.87–2.11 |
|
6.0 |
<Chinese limit |
[ | 53 | ] |
China |
TCM |
Regulated enterprises |
2011 |
UHPLC/MS/MS |
AF’s |
LOD; 0.01–1.56 |
60 |
40 |
0.2–19.5 |
|
|
[45][46] |
AFB1 |
1190 |
19.00 |
AFB1 |
1.2–9.8 | 0.06–483.00 |
AFB2 |
11.68 |
<LOQ |
0.01–61.50 |
0.82 ± 4.67 |
Jilin |
59 |
39 |
0.030–0.90 |
0.11 ± 0.23 |
Guangdong |
138 |
73 |
0.030–3.7 |
0.41 ± 0.81 |
Guangxi |
67 |
53 |
0.032–20 |
1.2 ± 3.4 |
Hainan |
14 |
93 |
0.032–0.66 |
0.21 ± 0.30 |
Heilongjiang |
LOQ = 0.006 |
AFG2 |
AFB2 |
9.1 |
12 provinces |
Rice12 |
0.6 |
- |
- |
- |
- |
127 A.flavus |
47(37%) toxigenic |
- |
- |
[90] |
AFG1 |
4.5 |
0.5 |
0.0 |
AFG2 |
9.1 |
0.5 |
0.0 |
31 provinces |
Yoghurt |
Provinces |
Liaoning |
Peanut-cropped soils |
- |
Field |
2013 |
343 fungi isolated |
9 |
323 |
76 Atoxigenic |
[91] |
97% of atoxigenic strains lost one of the aflT, nor-1, aflR, hypB genes |
|
2013 |
Retail store and supermarkets |
ELISA |
Shandong |
73 |
|
AFM1 |
0.05 μg/kg |
178 |
4.49 |
- |
27.10 |
<0.5 |
[54] |
AFB2 |
Milk |
0.005 μg/kg | 62 |
14.5 |
0.022 |
0.022 |
7.57 ± 41.12 |
233 |
48.07 |
Liaoning |
30 |
6.6 |
<LOQ |
<LOQ |
- |
Jilin |
59 |
6.5 |
0.086 |
0.086 |
Guangdong |
138 |
13 |
0.020–0.47 |
0.11 ± 0.15 |
Guangxi |
67 |
37.3 |
0.029–1.6 |
0.19 ± 0.36 |
Hainan |
14 |
14.3 |
0.051 |
0.051 |
Shandong Province (Huantai County) |
Maize |
Individual households |
2010 |
ELISA |
0.1 |
AFB1 |
31 |
100 |
0.4–2.2 |
|
|
[30] |
Rice |
9 |
100 |
0.1–1.2 |
Wheat flour |
9 |
100 |
0.3–0.9 |
Jiangsu Province (Huaian City) |
Maize |
43 |
100 |
1.2–136.8 |
Rice |
10 |
100 |
0.2–0.7 |
Wheat flour |
7 |
100 |
AFB2 |
0.2–7.1 |
AFG1 |
1.18 |
0.33–460.00 |
0.81 ± 15.23 |
AFG1 |
0.6–2.5 |
AFG2 |
4.03 |
0.05–104.00 |
0.23 ± 3.33 |
AFG2 |
0.2–4.8 |
Total AF |
19.00 |
0.06–1023.2 |
9.43 ± 54.98 |
21.49 |
<0.5 |
Chongqing China |
TCM |
Local markets and drug stores |
2015 |
UPLC-MS/MS |
AF’s |
LOD; 0.008–0.022 |
22 |
63 |
0.2–7.5 |
|
18.2 exceeded the maximum limit set by EU (4) |
[47] |
Tangshan region of China |
Milk |
2012–2014 |
Milk stations |
HPLC-MS/MS |
AFM1 |
] |
Sichuan |
AFB1 |
455 |
15.60 |
15.56 ± 86.73 |
15.56 ± 86.73 |
AFB2 |
13.19 |
AFB1 |
0.2–4.82.34 ± 13.40 |
2.34 ± 13.40 |
AFB2 |
0.1–2.3 |
AFG1 |
0.220.1–0.3 |
0.07 ± 1.57 |
Guangxi Zhuang Autonomous (Fusui County) |
Maize |
34 |
100 |
1.0–50.0 |
0.07 ± 1.57 |
AFG1 |
AFG2 |
5.27 |
Rice |
10 |
100 |
0.3–1.4 |
Wheat flour |
- |
- |
- |
0.22 ± 1.82 |
Eight regions (Chongqing, Fujian, Guangdong, Guangxi, Hubei, Jiangsu, Shanghai, Zhejiang) |
Maize |
Local food markets |
2007 |
HPLC |
0.012 ;B1 0.008; B2; 0.036;G1 |
AFs |
74 |
52 |
0.02–1098.36 |
|
|
[31] |
AFB1 |
74 |
46 |
0.14–970.32 |
23.91 above 20 |
AFB2 |
74 |
41 |
0.02–128.04 |
|
AFG1 |
74 |
9 |
0.36–4.76 |
0.22 ± 1.82 |
Rice |
AFs |
84 |
23 |
0.15–3.88 |
AFB1 |
84 |
16 |
0.15–3.22 |
AFB2 |
84 |
3 |
0.06–0.24 |
AFG1 |
84 |
7 |
0.36–1.59 |
Yangtze Delta region (Hangzhou, Ningbo, Shanghai, Suzhou and Wuxi cities) |
Rice, wheat, maize, oats, soya bean |
Supermarkets and wholesale markets |
2010 |
IAC-fluorometer |
1 |
AFs |
76 |
14.5 |
1.1–35.0 |
6.9 |
4.0 beyond Chinese (20) and 6.6 beyond EU(4) |
[32] |
1 |
AFB1 |
0.1–0.8 |
AFG2 |
0.1–0.2 |
Total AF |
15.60 |
18.19 ± 100.38 |
18.19 ± 100.38 |
Zhejiang |
TCM |
Regulated enterprises |
2009/2010 |
(UHPLC–MS/MS |
AFB1 |
LOD; 0.01–1.56 |
30 |
68.8 |
- |
1.40 |
|
[48] |
Guangdong |
AFB1 |
441 |
11.56 |
0.22–341.41 |
4.73 ± 29.84 |
AFB2 |
50.0 |
1.27 |
AFB2 |
11.79 |
0.05–30.38 |
0.51 ± 2.96 |
AFG1 |
43.8 |
0.50 |
AFG1 |
0.91 |
0.50–11.50 |
0.04 ± 0.57 |
AFG2 |
43.8 |
0.94 |
AFG2 |
3.17 |
0.21–5.74 |
0.06 ± 0.41 |
AFM1 |
6.6 |
0.7 |
Total AF |
|
14.29 |
0.06–373.69 |
5.34 ± 32.90 |
Beijing |
Ginger |
Local markets |
2013/2014 |
UHPLC-FLR |
AFB1 |
0.005–0.2 |
30 |
5/30 |
0.3–1.38 |
0.073 |
|
[49] |
Eight regions (Chongqing, Fujian, Guangdong, Guangxi, Hubei, Jiangsu, Shanghai, Zhejiang) |
Peanut |
Local food markets |
2007 |
HPLC |
- |
Total AF |
65 |
15 |
0.03–28.39 |
|
Average 27.44 |
[31] |
AFB2 |
30 |
ND |
- |
|
Walnut |
48 |
31 |
0.02–1.20 |
AFG1 |
30 |
ND |
- |
Pine Nut |
12 |
2 |
0.19–0.25 |
AFG2 |
|
30 |
ND |
- |
|
Peanut |
AFB1 |
65 |
9 |
0.15–22.39 |
Hebei province and Guangxi provinces |
Chinese yam, American ginseng, Ginseng, Notoginseng, Astragalus, Polygala, Bupleurum, Liquorice |
Markets |
2013 |
UPLC-MS/MS |
AFB1 |
LOD ≤ 0.05 and LOQ ≤ 0.1 |
48 |
35.4 |
ND-13.3 |
|
14.58 exceed 5 |
[50] |
Walnut |
48 |
21 |
0.14–0.32 |
76 |
14.5 |
1.0–32.2 |
6.6 |
4 beyond Chinese limit (20) and 9.2 beyond EU limit (2) |
AFB2 |
2 |
ND-8.2 |
|
|
Pine Nut |
12 |
2 |
0.19–0.23 |
AFs |
37.5 |
ND-21.5 |
|
8.33 exceed 10 |
Peanut |
AFB2 |
65 |
5 |
0.03–6.00 |
Shanghai |
Pistachios |
Markets |
2014–2015 |
LC-MS/MS |
AFB1 |
0.03 |
25 |
4 |
ND-0.8 |
0.8 |
- |
[51] |
Walnut |
48 |
12 |
0.02–0.70 |
AFB2 |
0.2 |
0 |
ND |
ND |
China |
Feed |
|
Hubei |
125 |
|
Guangdong |
116 |
|
Different provinces of China |
Peanut cropped soil |
- |
Field |
- |
- |
56 A.flavus |
35 atoxigenic |
11 A. flavus isolates had 5 deletion patterns for 12 genes |
21 atoxigenic strains were either L- or S-type |
Company and livestock farms |
Eu-Nano-TRFIA |
Total AFs |
0.16 μg/kg |
397 |
78.3% |
0.50–145.30 μg/kg |
|
|
[56] |
Northern China |
Raw milk |
2019/2020 |
Shops, distributors, farms |
ELISA |
AFM1 |
- |
84 |
Pine Nut |
12 |
0.3 |
0 |
ND |
ND |
|
530 |
52.8% |
10–200 ng/L |
73.0 ng/L |
<0.5 |
[92][55 | |
10–430 ng/L |
110 ng/kg |
34.5% exceeds EU limits |
[57] |
Commercial milk |
AFM1 |
69 |
|
|
Total mixed rations (TMR) |
HPLC |
AFB1 |
0.03 μg/kg |
22 |
|
30–370 ng/L |
4.16 μg/kg |
31.8% exceeds EU limits |
Central China |
Feed |
2016/2017 |
|
HPLC |
AFB1 |
0.03 μg/kg |
174 |
35.1% |
|
|
2.3% (30) |
[58] | 1 |
UHT milk |
ELISA |
AFM1 |
0.005 μg/kg |
111 |
73.6% |
- |
100.0 ng/L |
All below 0.5 |
Pasteurized milk |
ELISA |
AFM1 |
131 |
AFG10.02 |
0.2 |
0 |
ND |
ND |
Peanut |
AFG1 |
65 |
4 |
0.42–11.73 |
Walnut |
48 |
8 |
0.36–0.83 |
- |
China (Beijing and Shanghai) |
UHT milk |
2010 |
super- markets |
ELISA |
AFM1 |
- |
153 |
54.9% |
0.006–0.160 mg/L |
- |
All below 0.5 |
[59] |
Pasteurized milk |
- |
26 |
96.2% |
0.023–0.154 mg/L |
- |
Dried longans |
AFB1 |
0.1 |
28 |
0 |
ND |
ND |
Pine Nut |
12 |
0 |
AFB2 | - |
0.1 | Hangzhou |
Cereal based infant food |
Supermarkets |
2012 |
UPLC-MS/MS |
Shandong Province (Huantai County), Jiangsu Province (Huaian City), and Guangxi Zhuang Autonomous (Fusui County) |
Plant oil |
Individual households |
2010/2011 |
ELISA |
0.1 |
AFB1 |
39 |
100 |
0.5–114.4 |
|
Median level is 52.3 beyond the Chinese standard 10 |
[30] |
Peanut |
17 |
100 |
0.1–0.7 |
|
|
3.6 |
ND-0.2 |
0.2 |
AFG1 |
0.2 |
0 |
ND |
ND |
Hebei Province |
Shijiazhuang |
Edible oil (peanut, blended, soybean, maize, sunflower, fish oil) |
Local markets |
2011 |
LC–MS/MS |
|
AFB1 |
40 |
32.5 |
0.14–2.72 |
|
|
[40] |
AFB2 |
12.5 |
0.15–0.36 |
|
AFG2 |
0.3 |
0 |
ND |
ND |
Raisins |
AFB1 |
0.1 |
32 |
0 |
ND |
ND |
AFB2 |
0.3 |
0 |
ND |
ND |
AFG1 |
7.5 |
0.01–0.02 |
|
AFG1 |
0.3 |
0 |
ND |
ND |
Baoding |
AFB1 |
18 |
22.2 |
0.16–1.88 |
|
AFG2 |
0.3 |
0 |
ND |
ND |
AFB2 |
5.56 |
0–0.18 |
|
0.001 |
Dried dates |
AFB1 |
0.1 |
40 |
0 |
ND |
AFB1 |
30 |
6.6 |
0.016–0.024 |
|
|
[33] |
ND |
Tangshan |
AFG1 |
0 |
- |
|
0.001 |
AFB2 |
0.1 |
0 |
NDAFB2 |
0 |
ND |
ND |
AFB1 |
18 |
27.8 |
0.15–0.45 |
|
AFG1 |
0.3 |
0 |
ND |
ND |
0.002 |
AFG1 |
20.3% of UHT milk samples and 65.4% of pasteurized milk samples exceed the EU limit |
0 |
AFB2 |
0ND |
- |
|
AFG2 |
0.3 |
0 |
ND |
ND |
0.006 |
AFG2 |
0 |
AFG1 |
0 | ND |
- |
|
21 provinces, autonomous regions and municipalities |
Dried jujube |
Local markets and supermarkets |
2018 |
UPLC-MS/MS |
AFB1 |
LOD; 0.05–1.00 and LOQ; 0.10–5.00 |
35 |
0 |
ND |
0.008 |
AFM1 |
0 |
ND |
ND |
|
[ | 42 | ] |
Beijing, Shanghai, Changchun, Chengdu, Shijiazhuang, and Zhengzhou |
Peanut butter |
Retail markets |
2007 |
LC |
1 |
AFT |
50 |
82 |
0.77–70.64 |
8.51 |
39% for total AFs set by EU (4) 37% AFB1 set by EU (2) and 2% AFB1 exceed the Chinese regulations (20); |
[41] |
AFB2 |
0 |
ND |
ND |
0.004 |
AFM2 |
0.15 |
AFG1 | 0 |
8.6 | ND |
AFB1 |
0.39–68.51 |
6.12
|
0.2–0.66 |
0.4 ± 0.03 |
Chongzuo County and Guilin suburbs, Guangxi autonomous region |
Maize |
Individual households |
1998 |
HPLC |
1 |
AFB1 |
40 |
45 |
9–2496 |
AFB2 |
AFG20–5.52 |
2.9 |
0.4 | 460 ± 732 |
76% AFB1positive samples above Chinese limit (20) |
[ | 34 |
0.4 ± 0.06 | ] |
0.67 |
2.5 |
AFB2 |
35 |
11–320 |
82 ± 102 |
AFG1 |
0–21.22 |
2 |
Raisins |
AFB1 |
30 |
0 |
ND |
ND |
10 |
AFG1 |
22.5 |
12–21 |
15 ± 3 |
AFG2 |
0–6.36 |
AFB2 | 0.4 |
0 |
ND |
ND |
10 |
AFG2 |
0 |
ND |
Sesame paste |
1 |
AFT |
50 | ND |
37 |
0.54–56.89 |
6.75 |
24% beyond the limits total AFs of EU (4) 19% and 32% of sesame AFB1 exceed Chinese (5) and European Union (EU) (2) |
AFG1 |
0 |
ND |
ND |
Taiwan |
Coffee, red yeast rice and maize |
Local stores |
2013 |
ELISA |
1–2 |
0.15 | AFB1 |
36 |
55.5 |
1.7–234.0 |
AFB1 | |
30% are beyond the Taiwan limit (15) |
[35] |
0.39–20.45 |
4.31 |
AFG2 |
20 |
0.5–1.4 |
0.9 ± 0.02 |
Eleven districts of Guangzhou |
Rice and rice products |
Household supply retail shops |
2015–2017 |
HPLC |
0.1 |
AFB1 |
490 |
1.42 |
0.28–1.00 |
0.13 ± 0.001 |
|
[36] |
AFB2 |
0–4.92 |
Dried figs | 0.63 |
AFB1 |
20 |
15 |
1.8–384.1 |
129.5 ± 0.68 |
Wheat and wheat products |
436 |
1.4 |
0.28–1.46 |
0.13 ± 0.001 |
AFG1 |
0–26.28 |
1.44 |
AFB2 |
5 |
339 |
0.9 |
2.5 |
AFG2 | 1.50–6.30 |
0.17 ± 0.001 |
2.5 ± 0.21 |
0–5.75 |
0.37 |
AFG1 |
15 |
0.4–17.8 |
Maize and maize products |
5.9 ± 0.33 |
Eleven districts of Guangzhou |
Nuts |
AFG2 |
15 | Household supply retail shops |
2015–2017 |
HPLC |
0.1 |
AFB1 |
96 |
3.1 |
0.62–1.37 |
0.14 ± 0.001 |
|
[36] |
0.6–1.2 |
0.9 ± 0.05 |
Guangxi ; Zhuqing Village, Fusui, |
Maize |
Households |
1999 |
Vegetable oil |
365 |
38.9 | ELISA |
- |
AFB1 |
30 |
76.7 |
0.4–128.1 |
23.7 ± 6.6 |
Dried longans |
AFB1 |
15 | 30% beyond (20) |
[ | 37 | ] |
0.26–283.0 |
ND6.32 ± 25.99 |
ND |
ND |
Rice |
30 |
23.3 |
0.3–2.0 |
1.1 ± 0.3 |
|
Commercial vegetable oil |
269 |
25 |
0.35–7.30 |
AFB2 |
6.7 |
0.7 |
0.7 ± 0.01 |
Shigatze Prefecture of Tibet Autonomous Region |
Barley |
Farms |
1998 |
CD-ELISA |
|
AFs |
25 |
4 0.0 |
- |
0.04 |
|
[38] |
0.67 ± 1.81 |
Home-made peanut oil |
96 |
75.5 |
0.26–283.0 |
38.74 ± 47.45 |
The mean Is 7 times larger that the Chinese maximum limit (5) |
AFG1 |
ND |
ND |
ND |
21 provinces, autonomous regions and municipalities |
Nuts |
Local markets and supermarkets |
2018 |
UPLC |
AFG2 | LOD; 0.05–1.00; |
| LOQ; 0.10–5.00 |
AFB1 |
40 | 133 |
3.8 |
1.3–40.7 |
9.3 ± 0.28 |
|
[42] |
0.1–2.9 |
AFB2 |
15 |
0.2–1.2 |
1.9 ± 0.02 |
AFG1 |
ND |
ND |
ND |
AFG2 |
2.3 |
1.1–1.6 |
1.3 ± 0.02 |
Guangxi; Zhuqing Village, Fusui, |
Peanut |
Households |
2013 |
ELISA |
- |
AFB1 |
30 |
66.7 |
0.1–52.5 |
7.8 ± 3.2 |
|
[37] |
Yangtze Delta region (Hangzhou, Ningbo, Shanghai, Suzhou and Wuxi cities) |
Peanut, soya bean, and oil. |
Supermarkets and wholesale markets |
|
IAC-fluorometer |
1 |
AFs |
76 |
14.5 |
1.1–35.0 |
6.9 |
4.0 |
[32] |
2.3. Chinese Herbal Medicines (CHMs), Spices, Tea, Fruits, and Vegetables
In China, the maximum limits in herbs are 5 µg/kg and 10 μg/kg, respectively
[74][43]. CHMs that have maximum limits for AFs in China are as follows:
Jujubae Fructus, Hirudo, Pheretima, Myristicae Semen, Scorpio, Cassiae Semen, Hordei Fructus Germinatus, Polygalae Radix, Citri Reticulatae Pericarpium, Qutisqualis Fructus, Platycladi Semen, Sterculiae Lychnophorae Semen, Nelumbinis Semen, Persicae Semen, Scolopendra, Arecae Semen, Ziziphi Spinosae Semen, Bombyx Batryticatus, and
Coicis Semen [74][
4. Health Impacts of AFs in China
Human dietary AF exposure can result in either chronic or acute health risks depending on the extent of exposure. In one remarkable case, 125 Kenyans died between 2004 and 2006 due to acute liver failure after consumption of homegrown maize containing high levels (up to 4400 ppb) of AFs
[106,107,108][60][61][62]. Stunted growth, immunosuppressive effects, and cancer are also chronic health complications of AF consumption
[17,18,108][17][18][62]. Among the AFs, AFB1 is known to cause liver cancer and, in synergism with the hepatitis B virus (HBV), to increase the possibility of developing chronic liver disease (CLD) or HCC
[109,110][63][64].
AF parent molecules (like AFB1) are relatively harmless, but the electrophilic intermediates AFBO (B1-8,9-epoxide) that are generated at the predominant AF metabolization site are mutagenic and carcinogenic
[111,112][65][66]. The major human cytochrome p450 enzymes are responsible for converting AFB1 into two reactive 8,9-epoxide stereoisomers (exo and endo)
[108][62]. Exo-isomers are more toxic and cause the AFB1 to exhibit genotoxic characteristics
[113][67]. The exo-8,9-epoxide has a high binding affinity for DNA, forming AF-DNA adducts, which primarily exist as 8,9-dihydroxy-8-(N7) guanyl-9-hydroxy-AFB1 (AFB1-N7-Gua) adducts. These adducts are primarily responsible for the genotoxic, mutagenic, and carcinogenic properties of AFB1
[21].
Human dietary AF exposure is usually measured using several biomarkers. Biomarkers help to assess AF exposure to more accurately reflect individual intake of AFs, and they are measured in urine or blood serum. The AF albumin adduct (AF-alb) in serum is a valuable biomarker for CLD and HCC due to long-term high AF exposure
[114,115,116][68][69][70]. The most commonly used biomarkers are the urinary AFB1-N7-Gua adduct, which is a product of DNA damage, and the metabolites of AFM1 in urine or milk (AFP1, AFB1, AFQ1, AFP1, AFB-N-acetyl-L-cysteine (AFB1-mercapturic acid))
[49,117,118][37][71][72].
In China, studies of AFs and HCC risks have been conducted for more than three decades, with the earliest report dating back to 1989
[119][73]. That study confirmed the roles of the HBV virus and AFB1 in the rate of primary hepatocellular carcinoma (PHC) in southern Guangxi, China, which was the most PHC-prevalent region in the world. A number of other researchers have reported elevated AF exposure and higher incidences of HCC in different cities/counties of China in the provinces/municipalities of Jiangsu, Guangxi, Guangdong, Shanghai, and Taiwan
[49[37][31][74][75],
55,120,121], as regions in the southern parts of China are prone to AF contamination because their humid and warm climate is suitable for the growth and proliferation aflatoxigenic fungi
[32,39][26][27].
Guangxi Province is a well-studied region of China due to its high rate of HCC morbidity, mortality, and AF exposure. Wang et al. (2001)
[49][37] conducted a study in Zhuqing Village, Fusui County, Gangxi, aimed at determining the correlation between AF exposure, chronic HBV, and HCC cases. In this study, AFB1 contents of the major food items in the area were evaluated, and it was detected in 76.7% of maize (range 0.4–128.1 ppb), 66.7% of cooking oil (range 0.1–52.5 ppb), and 23.3% of rice (range 0.3–2.0 ppb). The mean levels of serum AFB1-albumin adducts in 29 identified HCC groups were >1.2 pmol/mg of albumin at both the beginning and end of the study period, and urinary AFB1 metabolites were detected in 88.9% of samples (range 0.9–3569.7 ng/24 h urine). The study also concluded that HCC accounted for 64% of the total cancer cases in the area.
Another comparative epidemiological study was conducted in China to identify the potential factors modulating AF exposure among three locations: Fusui County and Nanning City in Guangxi Province and Chengdu City in Sichuan Province
[120][74]. These three locations had HCC rates of 92–97, 32–47, and 21 per 100,000 people, respectively. Residents were screened for AF-alb adducts and human papilloma virus (HPV) infection. Higher numbers of HPV-positive people (47%) were found among Fusui residents compared to Nanning (15%) and Chengdu (22%) residents. This suggests a co-effect of HPV infection and AFB1 exposure in the high risk of HCC in the Fusui region.
Taiwan is another province of China that has a high rate of dietary AF exposure and HCC prevalence. Wan et al. (1996)
[121][75] published one of the earliest reports about AF-related HCC cases in Taiwan. They surveyed seven townships, including those with the highest HCC incidence. Detectable concentrations of the AF-alb adduct and urinary AF metabolites were highly correlated with HCC in 56 cases, and the authors concluded that AF exposure was enhancing the risk of HCC associated with HBV. In a similar study designed to elucidate the importance of AF exposure in the etiology of HCC, researchers conducted a community-based cohort epidemiological study in the Taiwan Penghu Islets, where the HCC mortality rate was highest
[122][76]. In this study AF exposure was evaluated in inhabitants (6487) via regular follow-up. AFB1-albumin adducts were detected in 60% of HBsAg-positive HCC cases, and the authors concluded that a higher risk of developing HCC was attributable to both a heavy exposure to AFs and high HPV incidence.
During the last 30 years, changes in China have led to a significant drop in AF-associated HCC prevalence and HCC mortality. This decrease might be due to socioeconomic changes and changes in the consumption pattern of maize, which dramatically decreased among Chinese families from 1980 to 2000
[125][77]. Additionally, after adoption of the national children’s HBV vaccination program (1980–1990), the prevalence of HCC has dropped significantly. Evidence for this decline comes from a recent cancer registration report showing about an 83% reduction of HCC mortality in Qidong, which was one of the regions with the highest prevalence
[126][78]. The reduction of HCC incidence is also evident in results of a longitudinal (28 year) study that utilized follow-ups of etiological interventions among 1.1 million inhabitants of this area
[126][78]. In this study there was a controlled neonatal HBV vaccination program (1980–1990) and economic reforms beginning in 1980 that were aimed at changing the consumption pattern from maize to rice and wheat. Compared with 1980–1983, the age-specific liver cancer incidence rates in 2005–2008 significantly decreased by 14-fold (ages 20–24), 9-fold (ages 25–29), and 4-fold (ages 30–34). The reduction among 20–24 year-olds might reflect the combined effects of reduced AF exposure and neonatal HBV vaccination, whereas the decreased incidence in the age groups of >25 years may be attributable mainly to a rapid reduction of AF exposure.
5. AF Standards in China and Recent Updates
AFs are the most regulated mycotoxins due to their toxicities and health risks, particularly carcinogenicity. Over 100 countries have defined maximum limits for AFs
[30,31][79][80]. For cereals and nuts, most maximum limits range between 10 and 20 µg/kg, although the EU sets the lowest limit at 4 µg/kg
[127][81]. Most countries set the maximum limits of AFM1 at either 0.05 µg/kg (EU) or 0.5 µg/kg. Currently, the Chinese government also has regulations on the maximum limits of AFs allowed in different foodstuffs. In maize, peanuts, peanut oil, nuts (walnuts, almonds), and dried fruit, the maximum limit of AFB1 is 20 μg/kg, whereas the limit in rice and oils (sesame, rapeseed, soybean, sunflower, flax, maize germ, bran, cottonseed) is 10 μg/kg. In milk and milk products (fresh raw milk, whole milk powder, evaporated milk, sweet condensed milk) and butter the AFM1 limit is 0.5 μg/kg, excluding liquid infant formula
[128][82].
The establishment of mycotoxin legislation and regulations is dynamic both in terms of addressing newly identified toxins and maintaining rigorous limits. For instance, the EU has made the maximum tolerable limits more stringent over time
[127,129][81][83]. It has been two decades since the Chinese government first imposed national food safety standards on maximum levels of mycotoxins in foods. Mycotoxin food standards were established in China in 2003 for the first time (GB 9676-2003) and considered toxins such as AFB1, AFM1, DON, and patulin, and they were renewed in 2005 (GB2761-2005). In 2011, GB2761-2011 added maximum limits of OTA and ZEN and considered baby foods and other special food groups
[130][84]. In 2017, the Chinese maximum levels of mycotoxins in foods were updated, with a special emphasis on vulnerable groups of society (GB2761-2017). In this version, the maximum limit of AFB1 in infant formula and supplementary foods for infants, young children, and pregnant and lactating woman was set at 0.5 µg/kg. In 2019, GB 2761 lowered the maximum AFM1 limit from 0.5 to 0.2 µg/kg in liquid infant formula, which includes raw milk, pasteurized dairy, sterilized dairy, modified dairy, and fermented dairy. It also added a maximum limit for fumonisins (200 μg/kg) in cereal-based (maize or maize flour) auxiliary foods for infants
[131][85]. Other common AFs (e.g., B2, G1, and G2) are being detected in different foods in China and are known to be carcinogenic, but they and total AFs are not yet regulated.
7. Distribution and Genetic Characteristics of Aspergillus Species in China
The most important fungi responsible for AF contamination in China are the three members of
Aspergillus section
Flavi:
A. flavus, A. parasiticus, and
A. nomius [102][86]. Hence, understanding the distribution and mycotoxin (AFs and CPA) production capacities and the genetic makeup of these fungi is crucial for broader AF management and for designing preharvest and postharvest mitigation strategies. Interest in the distribution of
A. flavus across different agro-ecologies, geographical locations, crops, and crop soils has also been increasing in China, due to the possibility of using isolates of atoxigenic
A. flavus strains to reduce AF contamination. Thus, several reports describing the nature and distribution of
Aspergillus section
Flavi in China have been published, and they are summarized in
Table 5.
Table 5. Distribution of Aspergillus flavus reported by different authors in China.
Location |
Product |
Number of Samples |
Source |
Sampling Season |
Incidences of Fungi, or Aspergillus spp. or Aspergillus Section Flavi |
Incidences of A. flavus Species |
Toxin Production of A. flavus Strains |
Nature Biosynthetic Genes |
Morphological Nature |
Reference |
Liaoning Province (Northeast) |
Maize |
120 |
Household stored (1–3 years) |
2003 |
55.8% (Aspergillus section Flavi) |
98.5% |
- |
- |
64%-L 36%-S |
[27] |
Guangxi province |
Maize |
89 |
|
2016/2017 |
195 (Aspergillus section Flavi) |
98.5% |
86.6% (30) were aflatoxin and CPA positive |
- |
Fluorescence and pink color observed in carbon added PDA |
[87] |
19 provinces, 1 autonomous region and 1 municipality |
Peanut, maize, rice |
- |
- |
2013/2014 |
8. Atoxigenic A. flavus as AF Biocontrol Agents
Recent developments in the field of mycotoxin prevention have led to renewed interest in seeking effective, feasible, and environmentally friendly control strategies. Biological methods, which basically utilize naturally occurring microorganisms or their enzymes or extracts, have been confirmed to have fewer food safety problems and environmental impacts compared to chemical methods. Biological control methods are also promising because they are very specific for specific toxins. Over the last three decades, numerous investigations have been conducted to explore potential biological control agents (e.g., fungi, bacteria, enzymes, and proteins) that can reduce mycotoxin levels either by inhibiting fungal growth and/or proliferation and subsequent mycotoxin production, or by degrading (transforming) them into harmless metabolic products.
The application of atoxigenic
A. flavus is now becoming a widely applicable biocontrol mechanism. The effect is achieved by applying naturally occurring competitive native atoxigenic strains of
A. flavus to the soil
[144][93]. Atoxigenic
A. flavus strains interfere with the proliferation of indigenous toxigenic strains
[13,145,146,147,148][13][94][95][96][97]. Atoxigenic strains that are inoculated in the soil have been shown to have a carry-over effect that may inhibit peanut contamination during storage
[149][98], which makes the method more acceptable because it may reduce AF contamination during both preharvest and postharvest. Several countries (USA, Italy, Argentina, Nigeria, Australia, and Thailand) are either developing or already using this native biocontrol agent widely
[13,145,146,147,148][13][94][95][96][97]. In doing so, they have achieved significant levels of AF reduction (43–98%). Several atoxigenic strains of
A. flavus have been patented, registered, and commercialized. In the USA between 2004 and 2008, the atoxigenic
A. flavus strains NRRL 21,882 (active component of Afla-guard
®) and AF36 (NRRL 18543) were registered and used
[150][99] widely. Strain K49 (NRRL 30797) was also patented by the USDA
[151][100].
In order to develop sustainable AF biocontrol, the population dynamics and genetic stability of
A. flavus populations in the field must be carefully examined. Due to the possibility of recombination with toxigenic strains, atoxigenic
A. flavus strains could develop the ability to produce AFs
[152][101]. Therefore, it is critical to assess the frequency of such events in agricultural environments where atoxigenic biocontrol
A. flavus has been introduced
[153][102]. Analysis of vegetative compatibility groups (VCGs) is critical, as VCGs are a strong barrier to sexual recombination
[154][103]. Atoxigenic biocontrol isolates selected for use should belong to VCGs that contain only atoxigenic strains and have wide distributions
[155][104], as different VCGs are clonal lineages that differ in many characteristics, including AF-producing ability
[156][105].
9. Conclusions and Recommendations
Historically, mycotoxins, especially AFs, were the most prevalent toxins in China. The incidence of HCC cases due to AF exposure was also among the highest in China compared to other countries. Some regions of China are particularly prone to AF contamination due to the climate and geographical location. However, strong Chinese AF regulations, control measures, such as good agricultural and manufacturing practices that include preventive strategies from preharvest to postharvest, policy implementations, and national HBV vaccinations are yielding encouraging results in terms of reduced AF prevalence and exposure risks. Nonetheless, as revealed in some reports reviewed herein, the prevalence of AFs in some agricultural products is still relatively high compared to the national maximum limits. Thus, there is still a need for extensive surveys of AF contamination in food and foodstuffs as well as human biomarker monitoring in order to improve risk management.
Feasible mechanisms to reduce toxic AF levels throughout the food chain, from farm to storage and processing, are needed. The application of native atoxigenic
A. flavus as a biocontrol mechanism is currently being used in different countries, as it is easy to use and environmentally friendly. Soil treatment with atoxigenic strains offers the extra advantage in the carry-over effect of reducing AF contamination that occurs during storage. According to several reports from China, several indigenous atoxigenic
A. flavus can be used as biocontrol agents. However, little is known about the potential of these native strains at the experimental level or under field conditions. The few existing studies suggest that these native strains show a promising competitive ability to displace toxigenic strains and reduce AF levels
[41,47,142][106][107][108]. Thus, there is a need for more studies to characterize and search for potential AF biocontrol strains of
A. flavus and to develop formulations and application techniques for these biocontrol strains in the field. Extensive field trials must be conducted across China in areas where potential AF contamination risks are high. Finally, VCG tests should be conducted to ensure genetic stability of atoxigenic strains and to test for their recurrent efficiency.